statistics phd near me

PhD in Statistics

Program description.

The Ph.D. program in statistics prepares students for a career pursuing research in either academia or industry.  The program provides rigorous classroom training in the theory, methodology, and application of statistics, and provides the opportunity to work with faculty on advanced research topics over a wide range of theory and application areas. To enter, students need a bachelor’s degree in mathematics, statistics, or a closely related discipline. Students graduating with a PhD in Statistics are expected to:

• Demonstrate an understanding the core principles of Probability Theory, Estimation Theory, and Statistical Methods.
• Demonstrate the ability to conduct original research in statistics.
• Demonstrate the ability to present research-level statistics in a formal lecture

Requirements for the Ph.D. (Statistics Track)

Course Work A Ph.D. student in our department must complete sixteen courses for the Ph.D. At most, four of these courses may be transferred from another institution. If the Ph.D. student is admitted to the program at the post-Master’s level, then eight courses are usually required.

Qualifying Examinations First, all Ph.D. students in the statistics track must take the following two-semester sequences: MA779 and MA780 (Probability Theory I and II), MA781 (Estimation Theory) and MA782 (Hypothesis Testing), and MA750 and MA751 (Advanced Statistical Methods I and II). Then, to qualify a student to begin work on a PhD dissertation, they must pass two of the following three exams at the PhD level: probability, mathematical statistics, and applied statistics. The probability and mathematical statistics exams are offered every September and the applied statistics exam is offered every April.

• PhD Exam in Probability: This exam covers the material covered in MA779 and MA780 (Probability Theory I and II).
• PhD Exam in Mathematical Statistics: This exam covers material covered in MA781 (Estimation Theory) and MA782 (Hypothesis Testing).
• PhD Exam in Applied Statistics: This exam covers the same material as the M.A. Applied exam and is offered at the same time, except that in order to pass it at the PhD level a student must correctly solve all four problems.

Note: Students concentrating in probability may choose to do so either through the statistics track or through the mathematics track. If a student wishes to do so through the mathematics track, the course and exam requirements are different. Details are available here .

Dissertation The dissertation is the major requirement for a Ph.D. student. After the student has completed all course work, the Director of Graduate Studies, in consultation with the student, selects a three-member dissertation committee. One member of this committee is designated by the Director of Graduate Studies as the Major Advisor for the student. Once completed, the dissertation must be defended in an oral examination conducted by at least five members of the Department.

The Dissertation and Final Oral Examination follows the   GRS General Requirements for the Doctor of Philosophy Degree .

Satisfactory Progress Toward the Degree Upon entering the graduate program, each student should consult the Director of Graduate Studies (Prof. David Rohrlich) and the Associate Director of the Program in Statistics (Prof. Konstantinos Spiliopoulos). Initially, the Associate Director of the Program in Statistics will serve as the default advisor to the student. Eventually the student’s advisor will be determined in conjunction with their dissertation research. The Associate Director of the Program in Statistics, who will be able to guide the student through the course selection and possible directed study, should be consulted often, as should the Director of Graduate Studies. Indeed, the Department considers it important that each student progress in a timely manner toward the degree. Each M.A. student must have completed the examination by the end of their second year in the program, while a Ph.D. student must have completed the qualifying examination by the third year. Students entering the Ph.D. program with an M.A. degree must have completed the qualifying examination by October of the second year. Failure to meet these deadlines may jeopardize financial aid. Some flexibility in the deadlines is possible upon petition to the graduate committee in cases of inadequate preparation.

Students enrolled in the Graduate School of Arts & Sciences (GRS) are expected to adhere to a number of policies at the university, college, and departmental levels. View the policies on the Academic Bulletin and GRS website .

Residency Post-BA students must complete all of the requirements for a Ph.D. within seven years of enrolling in the program and post-MA students must complete all requirements within five years. This total time limit is set by the Graduate School. Students needing extra time must petition the Graduate School. Also, financial aid is not guaranteed after the student’s fifth year in the program.

Financial Aid

As with all Ph.D. students in the Department of Mathematics and Statistics, the main source of financial aid for graduate students studying statistics is a Teaching Fellowship. These awards carry a stipend as well as tuition remission for six courses per year. Teaching Fellows are required to assist a faculty member who is teaching a course, usually a large lecture section of an introductory statistics course. Generally, the Teaching Fellow is responsible for conducting a number of discussion sections consisting of approximately twenty-five students each, as well as for holding office hours and assisting with grading. The Teaching Fellowship usually entails about twenty hours of work per week. For that reason, Teaching Fellows enroll in at most three courses per semester. A Teaching Fellow Seminar is conducted to help new Teaching Fellows develop as instructors and to promote the continuing development of experienced Teaching Fellows.

Other sources of financial aid include University Fellowships and Research Assistantships. The University Fellowships are one-year awards for outstanding students and are service-free. They carry stipends plus full tuition remission. Students do not need to apply for these fellowships. Research Assistantships are linked to research done with individual faculty, and are paid for through those faculty members’ grants. As a result, except on rare occasions, Research Assistantships typically are awarded to students in their second year and beyond, after student and faculty have had sufficient time to determine mutuality of their research interests.

Regular reviews of the performance of Teaching Fellows and Research Assistants in their duties as well as their course work are conducted by members of the Department’s Graduate Committee.

Ph.D. Program Milestones

The department considers it essential that each student progress in a timely manner toward completion of the degree. The following are the deadlines for achieving the milestones described in the Degree Requirements and constitute the basis for evaluating satisfactory progress towards the Ph.D. These deadlines are not to be construed as expected times to complete the various milestones, but rather as upper bounds. In other words,   a student in good standing expecting to complete   the degree within the five years of guaranteed funding will meet these milestones by the much e arlier target dates indicated below.   Failure to achieve these milestones in a timely manner may affectfinancial aid.

• Target: April of Year 1
• Deadline: April of Year 2
• Target: Spring of Year 2 post-BA/Spring of Year 1 post-MA
• Deadline: End of Year 3 post-BA/Fall of Year 2 post-MA
• Target: Spring of Year 2
• Deadline: End of Year 3
• Target: Spring of Year 2 or Fall of Year 3 post-BA/October of Year 2 post-MA
• Deadline: End of Year 3 post-BA/October of Year 2 post-MA
• Target: end of Year 3
• Deadline: End of Year 4
• Target: End of Year 5
• Deadline: End of Year 6

If you have any questions regarding our PhD program in Statistics, please reach out to us at [email protected]

• Utility Menu

Department of Statistics

4c69b3a36a33a4c1c5b5cd3ef5360949.

• Open Positions
• PhD Program

The department encourages research in both theoretical and applied statistics. Faculty members of the department have been leaders in research on a multitude of topics that include statistical inference, statistical computing and Monte-Carlo methods, analysis of missing data, causal inference, stochastic processes, multilevel models, experimental design, network models and the interface of statistics and the social, physical, and biological sciences. A unique feature of the department lies in the fact that apart from methodological research, all the faculty members are also heavily involved in applied research, developing novel methodology that can be applied to a wide array of fields like astrophysics, biology, chemistry, economics, engineering, public policy, sociology, education and many others.

Two carefully designed special courses offered to Ph.D. students form a unique feature of our program. Among these, Stat 303 equips students with the  basic skills necessary to teach statistics , as well as to be better overall statistics communicators. Stat 399 equips them with generic skills necessary for problem solving abilities.

Our Ph.D. students often receive substantial guidance from several faculty members, not just from their primary advisors, and in several settings. For example, every Ph.D. candidate who passes the qualifying exam gives a 30 minute presentation each semester (in Stat 300 ), in which the faculty ask questions and make comments. The Department recently introduced an award for Best Post-Qualifying Talk (up to two per semester), to further encourage and reward inspired research and presentations.

PhD Program Requirements

PhD Program Admissions Process

• PhD Admissions FAQ
• AM in Statistics
• Stat 300: Research in Statistics
• Stat 303: The Art and Practice of Teaching Statistics

Need Assistance?

PhD Program information

The Statistics PhD program is rigorous, yet welcoming to students with interdisciplinary interests and different levels of preparation. Students in the PhD program take core courses on the theory and application of probability and statistics during their first year. The second year typically includes additional course work and a transition to research leading to a dissertation. PhD thesis topics are diverse and varied, reflecting the scope of faculty research interests. Many students are involved in interdisciplinary research. Students may also have the option to pursue a designated emphasis (DE) which is an interdisciplinary specialization:  Designated Emphasis in Computational and Genomic Biology ,  Designated Emphasis in Computational Precision Health ,  Designated Emphasis in Computational and Data Science and Engineering . The program requires four semesters of residence.

Normal progress entails:

Year 1 . Perform satisfactorily in preliminary coursework. In the summer, students are required to embark on a short-term research project, internship, graduate student instructorship, reading course, or on another research activity. Years 2-3 . Continue coursework. Find a thesis advisor and an area for the oral qualifying exam. Formally choose a chair for qualifying exam committee, who will also serve as faculty mentor separate from the thesis advisor.  Pass the oral qualifying exam and advance to candidacy by the end of Year 3. Present research at BSTARS each year. Years 4-5 . Finish the thesis and give a lecture based on it in a department seminar.

Program Requirements

• Qualifying Exam

Course work and evaluation

Preliminary stage: the first year.

Effective Fall 2019, students are expected to take four semester-long courses for a letter grade during their first year which should be selected from the core first-year PhD courses offered in the department: Probability (204/205A, 205B,), Theoretical Statistics (210A, 210B), and Applied Statistics (215A, 215B). These requirements can be altered by a member of the PhD Program Committee (in consultation with the faculty mentor and by submitting a graduate student petition ) in the following cases:

• Students primarily focused on probability will be allowed to substitute one semester of the four required semester-long courses with an appropriate course from outside the department.
• Students may request to postpone one semester of the core PhD courses and complete it in the second year, in which case they must take a relevant graduate course in their first year in its place. In all cases, students must complete the first year requirements in their second year as well as maintain the overall expectations of second year coursework, described below. Some examples in which such a request might be approved are described in the course guidance below.
• Students arriving with advanced standing, having completed equivalent coursework at another institution prior to joining the program, may be allowed to take other relevant graduate courses at UC Berkeley to satisfy some or all of the first year requirements

Requirements on course work beyond the first year

Students entering the program before 2022 are required to take five additional graduate courses beyond the four required in the first year, resulting in a total of nine graduate courses required for completion of their PhD. In their second year, students are required to take three graduate courses, at least two of them from the department offerings, and in their third year, they are required to take at least two graduate courses. Students are allowed to change the timing of these five courses with approval of their faculty mentor. Of the nine required graduate courses, students are required to take for credit a total of 24 semester hours of courses offered by the Statistics department numbered 204-272 inclusive. The Head Graduate Advisor (in consultation with the faculty mentor and after submission of a graduate student petition) may consent to substitute courses at a comparable level in other disciplines for some of these departmental graduate courses. In addition, the HGA may waive part of this unit requirement.

Starting with the cohort entering in the 2022-23 academic year , students are required to take at least three additional graduate courses beyond the four required in the first year, resulting in a total of seven graduate courses required for completion of their PhD. Of the seven required graduate courses, five of these courses must be from courses offered by the Statistics department and numbered 204-272, inclusive. With these reduced requirements, there is an expectation of very few waivers from the HGA. We emphasize that these are minimum requirements, and we expect that students will take additional classes of interest, for example on a S/U basis, to further their breadth of knowledge. 

For courses to count toward the coursework requirements students must receive at least a B+ in the course (courses taken S/U do not count, except for STAT 272 which is only offered S/U).  Courses that are research credits, directed study, reading groups, or departmental seminars do not satisfy coursework requirements (for courses offered by the Statistics department the course should be numbered 204-272 to satisfy the requirements). Upper-division undergraduate courses in other departments can be counted toward course requirements with the permission of the Head Graduate Advisor. This will normally only be approved if the courses provide necessary breadth in an application area relevant to the student’s thesis research.

First year course work: For the purposes of satisfactory progression in the first year, grades in the core PhD courses are evaluated as: A+: Excellent performance in PhD program A: Good performance in PhD program A-: Satisfactory performance B+: Performance marginal, needs improvement B: Unsatisfactory performance First year and beyond: At the end of each year, students must meet with his or her faculty mentor to review their progress and assess whether the student is meeting expected milestones. The result of this meeting should be the completion of the student’s annual review form, signed by the mentor ( available here ). If the student has a thesis advisor, the thesis advisor must also sign the annual review form.

Guidance on choosing course work

Choice of courses in the first year: Students enrolling in the fall of 2019 or later are required to take four semesters of the core PhD courses, at least three of which must be taken in their first year. Students have two options for how to schedule their four core courses:

• Option 1 -- Complete Four Core Courses in 1st year: In this option, students would take four core courses in the first year, usually finishing the complete sequence of two of the three sequences.  Students following this option who are primarily interested in statistics would normally take the 210A,B sequence (Theoretical Statistics) and then one of the 205A,B sequence (Probability) or the 215A,B sequence (Applied Statistics), based on their interests, though students are allowed to mix and match, where feasible. Students who opt for taking the full 210AB sequence in the first year should be aware that 210B requires some graduate-level probability concepts that are normally introduced in 205A (or 204).
• Option 2 -- Postponement of one semester of a core course to the second year: In this option, students would take three of the core courses in the first year plus another graduate course, and take the remaining core course in their second year. An example would be a student who wanted to take courses in each of the three sequences. Such a student could take the full year of one sequence and the first semester of another sequence in the first year, and the first semester of the last sequence in the second year (e.g. 210A, 215AB in the first year, and then 204 or 205A in the second year). This would also be a good option for students who would prefer to take 210A and 215A in their first semester but are concerned about their preparation for 210B in the spring semester.  Similarly, a student with strong interests in another discipline, might postpone one of the spring core PhD courses to the second year in order to take a course in that discipline in the first year.  Students who are less mathematically prepared might also be allowed to take the upper division (under-graduate) courses Math 104 and/or 105 in their first year in preparation for 205A and/or 210B in their second year. Students who wish to take this option should consult with their faculty mentor, and then must submit a graduate student petition to the PhD Committee to request permission for  postponement. Such postponement requests will be generally approved for only one course. At all times, students must take four approved graduate courses for a letter grade in their first year.

After the first year: Students with interests primarily in statistics are expected to take at least one semester of each of the core PhD sequences during their studies. Therefore at least one semester (if not both semesters) of the remaining core sequence would normally be completed during the second year. The remaining curriculum for the second and third years would be filled out with further graduate courses in Statistics and with courses from other departments. Students are expected to acquire some experience and proficiency in computing. Students are also expected to attend at least one departmental seminar per week. The precise program of study will be decided in consultation with the student’s faculty mentor.

Remark. Stat 204 is a graduate level probability course that is an alternative to 205AB series that covers probability concepts most commonly found in the applications of probability. It is not taught all years, but does fulfill the requirements of the first year core PhD courses. Students taking Stat 204, who wish to continue in Stat 205B, can do so (after obtaining the approval of the 205B instructor), by taking an intensive one month reading course over winter break.

Designated Emphasis: Students with a Designated Emphasis in Computational and Genomic Biology or Designated Emphasis in Computational and Data Science and Engineering should, like other statistics students, acquire a firm foundation in statistics and probability, with a program of study similar to those above. These programs have additional requirements as well. Interested students should consult with the graduate advisor of these programs. 

Starting in the Fall of 2019, PhD students are required in their first year to take four semesters of the core PhD courses. Students intending to specialize in Probability, however, have the option to substitute an advanced mathematics class for one of these four courses. Such students will thus be required to take Stat 205A/B in the first year,  at least one of Stat 210A/B or Stat 215A/B in the first year, in addition to an advanced mathematics course. This substitute course will be selected in consultation with their faculty mentor, with some possible courses suggested below. Students arriving with advanced coursework equivalent to that of 205AB can obtain permission to substitute in other advanced probability and mathematics coursework during their first year, and should consult with the PhD committee for such a waiver.

During their second and third years, students with a probability focus are expected to take advanced probability courses (e.g., Stat 206 and Stat 260) to fulfill the coursework requirements that follow the first year. Students are also expected to attend at least one departmental seminar per week, usually the probability seminar. If they are not sufficiently familiar with measure theory and functional analysis, then they should take one or both of Math 202A and Math 202B. Other recommended courses from the department of Mathematics or EECS include:

Math 204, 222 (ODE, PDE) Math 205 (Complex Analysis) Math 258 (Classical harmonic analysis) EE 229 (Information Theory and Coding) CS 271 (Randomness and computation)

The Qualifying Examination 

The oral qualifying examination is meant to determine whether the student is ready to enter the research phase of graduate studies. It consists of a 50-minute lecture by the student on a topic selected jointly by the student and the thesis advisor. The examination committee consists of at least four faculty members to be approved by the department.  At least two members of the committee must consist of faculty from the Statistics and must be members of the Academic Senate. The chair must be a member of the student’s degree-granting program.

Qualifying Exam Chair. For qualifying exam committees formed in the Fall of 2019 or later, the qualifying exam chair will also serve as the student’s departmental mentor, unless a student already has two thesis advisors. The student must select a qualifying exam chair and obtain their agreement to serve as their qualifying exam chair and faculty mentor. The student's prospective thesis advisor cannot chair the examination committee. Selection of the chair can be done well in advance of the qualifying exam and the rest of the qualifying committee, and because the qualifying exam chair also serves as the student’s departmental mentor (unless the student has co-advisors), the chair is expected to be selected by the beginning of the third year or at the beginning of the semester of the qualifying exam, whichever comes earlier. For more details regarding the selection of the Qualifying Exam Chair, see the "Mentoring" tab.  

Paperwork and Application. Students at the point of taking a qualifying exam are assumed to have already found a thesis advisor and to should have already submitted the internal departmental form to the Graduate Student Services Advisor ( found here ).  Selection of a qualifying exam chair requires that the faculty member formally agree by signing the internal department form ( found here ) and the student must submit this form to the Graduate Student Services Advisor.  In order to apply to take the exam, the student must submit the Application for the Qualifying Exam via CalCentral at least three weeks prior to the exam. If the student passes the exam, they can then officially advance to candidacy for the Ph.D. If the student fails the exam, the committee may vote to allow a second attempt. Regulations of the Graduate Division permit at most two attempts to pass the oral qualifying exam. After passing the exam, the student must submit the Application for Candidacy via CalCentral .

The Doctoral Thesis

The Ph.D. degree is granted upon completion of an original thesis acceptable to a committee of at least three faculty members. The majority or at least half of the committee must consist of faculty from Statistics and must be members of the Academic Senate. The thesis should be presented at an appropriate seminar in the department prior to filing with the Dean of the Graduate Division. See Alumni if you would like to view thesis titles of former PhD Students.

Graduate Division offers various resources, including a workshop, on how to write a thesis, from beginning to end. Requirements for the format of the thesis are rather strict. For workshop dates and guidelines for submitting a dissertation, visit the Graduate Division website.

Students who have advanced from candidacy (i.e. have taken their qualifying exam and submitted the advancement to candidacy application) must have a joint meeting with their QE chair and their PhD advisor to discuss their thesis progression; if students are co-advised, this should be a joint meeting with their co-advisors. This annual review is required by Graduate Division.  For more information regarding this requirement, please see  https://grad.berkeley.edu/ policy/degrees-policy/#f35- annual-review-of-doctoral- candidates .

Teaching Requirement

For students enrolled in the graduate program before Fall 2016, students are required to serve as a Graduate Student Instructor (GSI) for a minimum of 20 hours (equivalent to a 50% GSI appointment) during a regular academic semester by the end of their third year in the program.

Effective with the Fall 2016 entering class, students are required to serve as a GSI for a minimum of two 50% GSI appointment during the regular academic semesters prior to graduation (20 hours a week is equivalent to a 50% GSI appointment for a semester) for Statistics courses numbered 150 and above. Exceptions to this policy are routinely made by the department.

Each spring, the department hosts an annual conference called BSTARS . Both students and industry alliance partners present research in the form of posters and lightning talks. All students in their second year and beyond are required to present a poster at BSTARS each year. This requirement is intended to acclimate students to presenting their research and allow the department generally to see the fruits of their research. It is also an opportunity for less advanced students to see examples of research of more senior students. However, any students who do not yet have research to present can be exempted at the request of their thesis advisor (or their faculty mentors if an advisor has not yet been determined).

Mentoring for PhD Students

Initial Mentoring: PhD students will be assigned a faculty mentor in the summer before their first year. This faculty mentor at this stage is not expected to be the student’s PhD advisor nor even have research interests that closely align with the student. The job of this faculty mentor is primarily to advise the student on how to find a thesis advisor and in selecting appropriate courses, as well as other degree-related topics such as applying for fellowships.  Students should meet with their faculty mentors twice a semester. This faculty member will be the designated faculty mentor for the student during roughly their first two years, at which point students will find a qualifying exam chair who will take over the role of mentoring the student.

Research-focused mentoring : Once students have found a thesis advisor, that person will naturally be the faculty member most directly overseeing the student’s progression. However, students will also choose an additional faculty member to serve as a the chair of their qualifying exam and who will also serve as a faculty mentor for the student and as a member of his/her thesis committee. (For students who have two thesis advisors, however, there is not an additional faculty mentor, and the quals chair does NOT serve as the faculty mentor).

The student will be responsible for identifying and asking a faculty member to be the chair of his/her quals committee. Students should determine their qualifying exam chair either at the beginning of the semester of the qualifying exam or in the fall semester of the third year, whichever is earlier. Students are expected to have narrowed in on a thesis advisor and research topic by the fall semester of their third year (and may have already taken qualifying exams), but in the case where this has not happened, such students should find a quals chair as soon as feasible afterward to serve as faculty mentor.

Students are required to meet with their QE chair once a semester during the academic year. In the fall, this meeting will generally be just a meeting with the student and the QE chair, but in the spring it must be a joint meeting with the student, the QE chair, and the PhD advisor. If students are co-advised, this should be a joint meeting with their co-advisors.

If there is a need for a substitute faculty mentor (e.g. existing faculty mentor is on sabbatical or there has been a significant shift in research direction), the student should bring this to the attention of the PhD Committee for assistance.

PhD Student Forms:

Important milestones: .

Each of these milestones is not complete until you have filled out the requisite form and submitted it to the GSAO. If you are not meeting these milestones by the below deadline, you need to meet with the Head Graduate Advisor to ask for an extension. Otherwise, you will be in danger of not being in good academic standing and being ineligible for continued funding (including GSI or GSR appointments, and many fellowships). 

†Students who are considering a co-advisor, should have at least one advisor formally identified by the end of the second year; the co-advisor should be identified by the end of the fall semester of the 3rd year in lieu of finding a Research Mentor/QE Chair.

Expected Progress Reviews: 

* These meetings do not need to be held in the semester that you take your Qualifying Exam, since the relevant people should be members of your exam committee and will discuss your research progress during your qualifying exam

** If you are being co-advised by someone who is not your primary advisor because your primary advisor cannot be your sole advisor, you should be meeting with that person like a research mentor, if not more frequently, to keep them apprised of your progress. However, if both of your co-advisors are leading your research (perhaps independently) and meeting with you frequently throughout the semester, you do not need to give a fall research progress report.

Graduate Student Handbook (Coming Soon: New Graduate Student Handbook)

Phd program overview.

The PhD program prepares students for research careers in probability and statistics in academia and industry. Students admitted to the PhD program earn the MA and MPhil along the way. The first year of the program is spent on foundational courses in theoretical statistics, applied statistics, and probability. In the following years, students take advanced topics courses. Research toward the dissertation typically begins in the second year. Students also have opportunities to take part in a wide variety of projects involving applied probability or applications of statistics.

Students are expected to register continuously until they distribute and successfully defend their dissertation. Our core required and elective curricula in Statistics, Probability, and Machine Learning aim to provide our doctoral students with advanced learning that is both broad and focused. We expect our students to make Satisfactory Academic Progress in their advanced learning and research training by meeting the following program milestones through courseworks, independent research, and dissertation research:

By the end of year 1: passing the qualifying exams;

By the end of year 2: fulfilling all course requirements for the MA degree and finding a dissertation advisor;

By the end of year 3: passing the oral exam (dissertation prospectus) and fulfilling all requirements for the MPhil degree

By the end of year 5: distributing and defending the dissertation.

We believe in the Professional Development value of active participation in intellectual exchange and pedagogical practices for future statistical faculty and researchers. Students are required to serve as teaching assistants and present research during their training. In addition, each student is expected to attend seminars regularly and participate in Statistical Practicum activities before graduation.

We provide in the following sections a comprehensive collection of the PhD program requirements and milestones. Also included are policies that outline how these requirements will be enforced with ample flexibility. Questions on these requirements should be directed to ADAA Cindy Meekins at [email protected] and the DGS, Professor John Cunningham at [email protected] .

Applications for Admission

• Our students receive very solid training in all aspects of modern statistics. See Graduate Student Handbook for more information.
• Our students receive Fellowship and full financial support for the entire duration of their PhD. See more details here .
• Our students receive job offers from top academic and non-academic institutions .
• Our students can work with world-class faculty members from Statistics Department or the Data Science Institute .
• Our students have access to high-speed computer clusters for their ambitious, computationally demanding research.
• Our students benefit from a wide range of seminars, workshops, and Boot Camps organized by our department and the data science institute .
• Suggested Prerequisites: A student admitted to the PhD program normally has a background in linear algebra and real analysis, and has taken a few courses in statistics, probability, and programming. Students who are quantitatively trained or have substantial background/experience in other scientific disciplines are also encouraged to apply for admission.
• GRE requirement: Waived for Fall 2024.
• Language requirement: The English Proficiency Test requirement (TOEFL) is a Provost's requirement that cannot be waived.
• The Columbia GSAS minimum requirements for TOEFL and IELTS are: 100 (IBT), 600 (PBT) TOEFL, or 7.5 IELTS. To see if this requirement can be waived for you, please check the frequently asked questions below.
• Deadline: Jan 8, 2024 .
• Application process: Please apply by completing the Application for Admission to the Columbia University Graduate School of Arts & Sciences .
• Timeline: P.hD students begin the program in September only.  Admissions decisions are made in mid-March of each year for the Fall semester.

Frequently Asked Questions

• What is the application deadline? What is the deadline for financial aid? Our application deadline is January 5, 2024 .
• Can I meet with you in person or talk to you on the phone? Unfortunately given the high number of applications we receive, we are unable to meet or speak with our applicants.
• What are the required application materials? Specific admission requirements for our programs can be found here .
• Due to financial hardship, I cannot pay the application fee, can I still apply to your program? Yes. Many of our prospective students are eligible for fee waivers. The Graduate School of Arts and Sciences offers a variety of application fee waivers . If you have further questions regarding the waiver please contact  gsas-admissions@ columbia.edu .
• How many students do you admit each year? It varies year to year. We finalize our numbers between December - early February.
• What is the distribution of students currently enrolled in your program? (their background, GPA, standard tests, etc)? Unfortunately, we are unable to share this information.
• How many accepted students receive financial aid? All students in the PhD program receive, for up to five years, a funding package consisting of tuition, fees, and a stipend. These fellowships are awarded in recognition of academic achievement and in expectation of scholarly success; they are contingent upon the student remaining in good academic standing. Summer support, while not guaranteed, is generally provided. Teaching and research experience are considered important aspects of the training of graduate students. Thus, graduate fellowships include some teaching and research apprenticeship. PhD students are given funds to purchase a laptop PC, and additional computing resources are supplied for research projects as necessary. The Department also subsidizes travel expenses for up to two scientific meetings and/or conferences per year for those students selected to present. Additional matching funds from the Graduate School Arts and Sciences are available to students who have passed the oral qualifying exam.
• Can I contact the department with specific scores and get feedback on my competitiveness for the program? We receive more than 450 applications a year and there are many students in our applicant pool who are qualified for our program. However, we can only admit a few top students. Before seeing the entire applicant pool, we cannot comment on admission probabilities.
• What is the minimum GPA for admissions? While we don’t have a GPA threshold, we will carefully review applicants’ transcripts and grades obtained in individual courses.
• Is there a minimum GRE requirement? No. The general GRE exam is waived for the Fall 2024 admissions cycle. 
• Can I upload a copy of my GRE score to the application? Yes, but make sure you arrange for ETS to send the official score to the Graduate School of Arts and Sciences.
• Is the GRE math subject exam required? No, we do not require the GRE math subject exam.
• What is the minimum TOEFL or IELTS  requirement? The Columbia Graduate School of Arts and Sciences minimum requirements for TOEFL and IELTS are: 100 (IBT), 600 (PBT) TOEFL, or 7.5 IELTS
•  I took the TOEFL and IELTS more than two years ago; is my score valid? Scores more than two years old are not accepted. Applicants are strongly urged to make arrangements to take these examinations early in the fall and before completing their application.
• I am an international student and earned a master’s degree from a US university. Can I obtain a TOEFL or IELTS waiver? You may only request a waiver of the English proficiency requirement from the Graduate School of Arts and Sciences by submitting the English Proficiency Waiver Request form and if you meet any of the criteria described here . If you have further questions regarding the waiver please contact  gsas-admissions@ columbia.edu .
• My transcript is not in English. What should I do? You have to submit a notarized translated copy along with the original transcript.

Can I apply to more than one PhD program? You may not submit more than one PhD application to the Graduate School of Arts and Sciences. However, you may elect to have your application reviewed by a second program or department within the Graduate School of Arts and Sciences if you are not offered admission by your first-choice program. Please see the application instructions for a more detailed explanation of this policy and the various restrictions that apply to a second choice. You may apply concurrently to a program housed at the Graduate School of Arts and Sciences and to programs housed at other divisions of the University. However, since the Graduate School of Arts and Sciences does not share application materials with other divisions, you must complete the application requirements for each school.

How do I apply to a dual- or joint-degree program? The Graduate School of Arts and Sciences refers to these programs as dual-degree programs. Applicants must complete the application requirements for both schools. Application materials are not shared between schools. Students can only apply to an established dual-degree program and may not create their own.

With the sole exception of approved dual-degree programs , students may not pursue a degree in more than one Columbia program concurrently, and may not be registered in more than one degree program at any institution in the same semester. Enrollment in another degree program at Columbia or elsewhere while enrolled in a Graduate School of Arts and Sciences master's or doctoral program is strictly prohibited by the Graduate School. Violation of this policy will lead to the rescission of an offer of admission, or termination for a current student.

When will I receive a decision on my application? Notification of decisions for all PhD applicants generally takes place by the end of March.

Notification of MA decisions varies by department and application deadlines. Some MA decisions are sent out in early spring; others may be released as late as mid-August.

Can I apply to both MA Statistics and PhD statistics simultaneously?  For any given entry term, applicants may elect to apply to up to two programs—either one PhD program and one MA program, or two MA programs—by submitting a single (combined) application to the Graduate School of Arts and Sciences.  Applicants who attempt to submit more than one Graduate School of Arts and Sciences application for the same entry term will be required to withdraw one of the applications.

The Graduate School of Arts and Sciences permits applicants to be reviewed by a second program if they do not receive an offer of admission from their first-choice program, with the following restrictions:

• This option is only available for fall-term applicants.
• Applicants will be able to view and opt for a second choice (if applicable) after selecting their first choice. Applicants should not submit a second application. (Note: Selecting a second choice will not affect the consideration of your application by your first choice.)
• Applicants must upload a separate Statement of Purpose and submit any additional supporting materials required by the second program. Transcripts, letters, and test scores should only be submitted once.
• An application will be forwarded to the second-choice program only after the first-choice program has completed its review and rendered its decision. An application file will not be reviewed concurrently by both programs.
• Programs may stop considering second-choice applications at any time during the season; Graduate School of Arts and Sciences cannot guarantee that your application will receive a second review.
• What is the mailing address for your PhD admission office? Students are encouraged to apply online . Please note: Materials should not be mailed to the Graduate School of Arts and Sciences unless specifically requested by the Office of Admissions. Unofficial transcripts and other supplemental application materials should be uploaded through the online application system. Graduate School of Arts and Sciences Office of Admissions Columbia University  107 Low Library, MC 4303 535 West 116th Street  New York, NY 10027
• How many years does it take to pursue a PhD degree in your program? Our students usually graduate in 4‐6 years.
• Can the PhD be pursued part-time? No, all of our students are full-time students. We do not offer a part-time option.
• One of the requirements is to have knowledge of linear algebra (through the level of MATH V2020 at Columbia) and advanced calculus (through the level of MATH V1201). I studied these topics; how do I know if I meet the knowledge content requirement? We interview our top candidates and based on the information on your transcripts and your grades, if we are not sure about what you covered in your courses we will ask you during the interview.
• Can I contact faculty members to learn more about their research and hopefully gain their support? Yes, you are more than welcome to contact faculty members and discuss your research interests with them. However, please note that all the applications are processed by a central admission committee, and individual faculty members cannot and will not guarantee admission to our program.
• How do I find out which professors are taking on new students to mentor this year?  Applications are evaluated through a central admissions committee. Openings in individual faculty groups are not considered during the admissions process. Therefore, we suggest contacting the faculty members you would like to work with and asking if they are planning to take on new students.

For more information please contact us at [email protected] .

For more information please contact us at  [email protected]

Quick Links

• Undergraduate Programs
• M.A. Statistics Programs
• M.A. in Mathematical Finance
• M.S. in Actuarial Science
• M.A. in Quantitative Methods in the Social Sciences
• M.S. in Data Science
• PhD Program
• BA/MA Program
• Department Directory
• Faculty Positions
• Founder’s Postdoctoral Fellowship Positions
• Staff Hiring
• Joint Postdoc with Data Science Institute
• Department News
• Department Calendar
• Research Computing

Upcoming Events

• Youth Program
• Wharton Online

PhD Program

Wharton’s PhD program in Statistics provides the foundational education that allows students to engage both cutting-edge theory and applied problems. These include problems from a wide variety of fields within Wharton, such as finance, marketing, and public policy, as well as fields across the rest of the University such as biostatistics within the Medical School and computer science within the Engineering School.

Major areas of departmental research include: analysis of observational studies; Bayesian inference, bioinformatics; decision theory; game theory; high dimensional inference; information theory; machine learning; model selection; nonparametric function estimation; and time series analysis.

Students typically have a strong undergraduate background in mathematics. Knowledge of linear algebra and advanced calculus is required, and experience with real analysis is helpful. Although some exposure to undergraduate probability and statistics is expected, skills in mathematics and computer science are more important. Graduates of the department typically take positions in academia, government, financial services, and bio-pharmaceutical industries.

Apply online here .

Department of Statistics and Data Science

The Wharton School, University of Pennsylvania Academic Research Building 265 South 37th Street, 3rd & 4th Floors Philadelphia, PA 19104-1686

Phone: (215) 898-8222

• Contact Information
• Course Descriptions
• Course Schedule
• Doctoral Inside: Resources for Current PhD Students
• Penn Career Services
• Apply to Wharton
• Financial Aid

DEPARTMENT OF STATISTICS AND DATA SCIENCE

Phd program, phd program overview.

The doctoral program in Statistics and Data Science is designed to provide students with comprehensive training in theory and methodology in statistics and data science, and their applications to problems in a wide range of fields. The program is flexible and may be arranged to reflect students' interests and career goals. Cross-disciplinary work is encouraged. The PhD program prepares students for careers as university teachers and researchers and as research statisticians or data scientists in industry, government and the non-profit sector.

Requirements

Students are required to fulfill the Department requirements in addition to those specified by The Graduate School (TGS).

From the Graduate School’s webpage outlining the general requirements for a PhD :

In order to receive a doctoral degree, students must:

• Complete all required coursework. .
• Gain admittance to candidacy.
• Submit a prospectus to be approved by a faculty committee.
• Present a dissertation with original research. Review the Dissertation Publication page for more information.
• Complete the necessary teaching requirement
• Submit necessary forms to file for graduation
• Complete degree requirements within the approved timeline

PhD degrees must be approved by the student's academic program. Consult with your program directly regarding specific degree requirements.

The Department requires that students in the Statistics and Data Science PhD program:

• Meet the department minimum residency requirement of 2 years
• STAT 344-0 Statistical Computing
• STAT 350-0 Regression Analysis
• STAT 353-0 Advanced Regression (new 2021-22)
• STAT 415-0 I ntroduction to Machine Learning
• STAT 420-1,2,3 Introduction to Statistical Theory and Methodology 1, 2, 3
• STAT 430-1, STAT 430-2, STAT 440 (new courses in 2022-23 on probability and stochastic processes for statistics students)
• STAT 457-0 Applied Bayesian Inference

Students generally complete the required coursework during their first two years in the PhD program. *note that required courses changed in the 2021-22 academic year, previous required courses can be found at the end of this page.

• Pass the Qualifying Exam. This comprehensive examination covers basic topics in statistics and is typically taken in fall quarter of the second year.

Pass the Prospectus presentation/examination and be admitted for PhD candidacy by the end of year 3 . The statistics department requires that students must complete their Prospectus (proposal of dissertation topic) before the end of year 3, which is earlier than The Graduate School deadline of the end of year 4. The prospectus must be approved by a faculty committee comprised of a committee chair and a minimum of 2 other faculty members. Students usually first find an adviser through independent studies who will then typically serve as the committee chair. When necessary, exceptions may be made upon the approval of the committee chair and the director of graduate studies, to extend the due date of the prospectus exam until the end of year 4.

• Successfully complete and defend a doctoral dissertation. After the prospectus is approved, students begin work on the doctoral dissertation, which must demonstrate an original contribution to a chosen area of specialization. A final examination (thesis defense) is given based on the dissertation. Students typically complete the PhD program in 5 years.
• Attend all seminars in the department and participate in other research activities . In addition to these academic requirements, students are expected to participate in other research activities and attend all department seminars every year they are in the program.

Optional MS degree en route to PhD

Students admitted to the Statistics and Data Science PhD program can obtain an optional MS (Master of Science) degree en route to their PhD. The MS degree requires 12 courses: STAT 350-0 Regression Analysis, STAT 353 Advanced Regression, STAT 420-1,2,3 Introduction to Statistical Theory and Methodology 1, 2, 3, STAT 415-0 I ntroduction to Machine Learning , and at least 6 more courses approved by the department of which two must be 400 level STAT elective courses, no more than 3 can be non-STAT courses. For the optional MS degree, students must also pass the qualifying exam offered at the beginning of the second year at the MS level.

*Prior to 2021-2022, the course requirements for the PhD were:

• STAT 351-0 Design and Analysis of Experiments
• STAT 425 Sampling Theory and Applications
• MATH 450-1,2 Probability 1, 2 or MATH 450-1 Probability 1 and IEMS 460-1,2 Stochastic Processes 1, 2
• Six additional 300/400 graduate-level Statistics courses, at least two must be 400 -level

• Skip to Content
• Bulletin Home

• Interdisciplinary Programs >
• Graduate Programs >
• Around Campus
• Academic Program
• Administration
• Arts at MIT
• Campus Media
• Fraternities, Sororities, and Independent Living Groups
• Medical Services
• Priscilla King Gray Public Service Center
• Religious Organizations
• Student Government
• Work/​Life and Family Resources
• Advising and Support
• Digital Learning
• Disability and Access Services
• Information Systems and Technology
• Student Financial Services
• Writing and Communication Center
• Major Course of Study
• General Institute Requirements
• Independent Activites Period
• Undergraduate Research Opportunities Program
• First-​Year Advising Seminars
• Interphase EDGE/​x
• Edgerton Center
• Grading Options
• Study at Other Universities
• Internships Abroad
• Career Advising and Professional Development
• Teacher Licensure and Education
• ROTC Programs
• Financial Aid
• Medical Requirements
• Graduate Study at MIT
• General Degree Requirements
• Other Institutions
• Registration
• Term Regulations and Examination Policies
• Academic Performance and Grades
• Policies and Procedures
• Privacy of Student Records
• Abdul Latif Jameel Poverty Action Lab
• Art, Culture, and Technology Program
• Broad Institute of MIT and Harvard
• Center for Archaeological Materials
• Center for Bits and Atoms
• Center for Clinical and Translational Research
• Center for Collective Intelligence
• Center for Computational Science and Engineering
• Center for Constructive Communication
• Center for Energy and Environmental Policy Research
• Center for Environmental Health Sciences
• Center for Global Change Science
• Center for International Studies
• Center for Real Estate
• Center for Transportation &​ Logistics
• Computer Science and Artificial Intelligence Laboratory
• Concrete Sustainability Hub
• D-​Lab
• Deshpande Center for Technological Innovation
• Division of Comparative Medicine
• Haystack Observatory
• Initiative on the Digital Economy
• Institute for Medical Engineering and Science
• Institute for Soldier Nanotechnologies
• Institute for Work and Employment Research
• Internet Policy Research Initiative
• Joint Program on the Science and Policy of Global Change
• Knight Science Journalism Program
• Koch Institute for Integrative Cancer Research
• Laboratory for Financial Engineering
• Laboratory for Information and Decision Systems
• Laboratory for Manufacturing and Productivity
• Laboratory for Nuclear Science
• Legatum Center for Development and Entrepreneurship
• Lincoln Laboratory
• Martin Trust Center for MIT Entrepreneurship
• Materials Research Laboratory
• McGovern Institute for Brain Research
• Microsystems Technology Laboratories
• MIT Center for Art, Science &​ Technology
• MIT Energy Initiative
• MIT Environmental Solutions Initiative
• MIT Kavli Institute for Astrophysics and Space Research
• MIT Media Lab
• MIT Office of Innovation
• MIT Open Learning
• MIT Portugal Program
• MIT Professional Education
• MIT Sea Grant College Program
• Nuclear Reactor Laboratory
• Operations Research Center
• Picower Institute for Learning and Memory
• Plasma Science and Fusion Center
• Research Laboratory of Electronics
• Simons Center for the Social Brain
• Singapore-​MIT Alliance for Research and Technology Centre
• Sociotechnical Systems Research Center
• Whitehead Institute for Biomedical Research
• Women's and Gender Studies Program
• Architecture (Course 4)
• Art and Design (Course 4-​B)
• Art, Culture, and Technology (SM)
• Media Arts and Sciences
• Planning (Course 11)
• Urban Science and Planning with Computer Science (Course 11-​6)
• Aerospace Engineering (Course 16)
• Engineering (Course 16-​ENG)
• Biological Engineering (Course 20)
• Chemical Engineering (Course 10)
• Chemical-​Biological Engineering (Course 10-​B)
• Chemical Engineering (Course 10-​C)
• Engineering (Course 10-​ENG)
• Engineering (Course 1-​ENG)
• Electrical Engineering and Computer Science (Course 6-​2)
• Electrical Science and Engineering (Course 6-​1)
• Computation and Cognition (Course 6-​9)
• Computer Science and Engineering (Course 6-​3)
• Computer Science and Molecular Biology (Course 6-​7)
• Electrical Engineering and Computer Science (MEng)
• Computer Science and Molecular Biology (MEng)
• Health Sciences and Technology
• Archaeology and Materials (Course 3-​C)
• Materials Science and Engineering (Course 3)
• Materials Science and Engineering (Course 3-​A)
• Materials Science and Engineering (PhD)
• Mechanical Engineering (Course 2)
• Mechanical and Ocean Engineering (Course 2-​OE)
• Engineering (Course 2-​A)
• Nuclear Science and Engineering (Course 22)
• Engineering (Course 22-​ENG)
• Anthropology (Course 21A)
• Comparative Media Studies (CMS)
• Writing (Course 21W)
• Economics (Course 14-​1)
• Mathematical Economics (Course 14-​2)
• Data, Economics, and Design of Policy (MASc)
• Economics (PhD)
• Global Studies and Languages (Course 21G)
• History (Course 21H)
• Linguistics and Philosophy (Course 24-​2)
• Philosophy (Course 24-​1)
• Linguistics (SM)
• Literature (Course 21L)
• Music (Course 21M-​1)
• Theater Arts (Course 21M-​2)
• Political Science (Course 17)
• Science, Technology, and Society/​Second Major (STS)
• Business Analytics (Course 15-​2)
• Finance (Course 15-​3)
• Management (Course 15-​1)
• Biology (Course 7)
• Chemistry and Biology (Course 5-​7)
• Brain and Cognitive Sciences (Course 9)
• Chemistry (Course 5)
• Earth, Atmospheric and Planetary Sciences (Course 12)
• Mathematics (Course 18)
• Mathematics with Computer Science (Course 18-​C)
• Physics (Course 8)
• Department of Electrical Engineering and Computer Science
• Institute for Data, Systems, and Society
• Chemistry and Biology
• Climate System Science and Engineering
• Computation and Cognition
• Computer Science and Molecular Biology
• Computer Science, Economics, and Data Science
• Humanities and Engineering
• Humanities and Science
• Urban Science and Planning with Computer Science
• African and African Diaspora Studies
• American Studies
• Ancient and Medieval Studies
• Applied International Studies
• Asian and Asian Diaspora Studies
• Biomedical Engineering
• Energy Studies
• Entrepreneurship and Innovation
• Environment and Sustainability
• Latin American and Latino/​a Studies
• Middle Eastern Studies
• Polymers and Soft Matter
• Public Policy
• Russian and Eurasian Studies
• Statistics and Data Science
• Women's and Gender Studies
• Advanced Urbanism
• Computational and Systems Biology
• Computational Science and Engineering
• Design and Management (IDM &​ SDM)
• Joint Program with Woods Hole Oceanographic Institution
• Leaders for Global Operations
• Microbiology
• Music Technology and Computation
• Operations Research
• Real Estate Development
• Social and Engineering Systems
• Supply Chain Management
• Technology and Policy
• Transportation
• School of Architecture and Planning
• School of Engineering
• Aeronautics and Astronautics Fields (PhD)
• Artificial Intelligence and Decision Making (Course 6-​4)
• Biological Engineering (PhD)
• Nuclear Science and Engineering (PhD)
• School of Humanities, Arts, and Social Sciences
• Humanities (Course 21)
• Humanities and Engineering (Course 21E)
• Humanities and Science (Course 21S)
• Sloan School of Management
• School of Science
• Brain and Cognitive Sciences (PhD)
• Earth, Atmospheric and Planetary Sciences Fields (PhD)
• Interdisciplinary Programs (SB)
• Climate System Science and Engineering (Course 1-​12)
• Computer Science, Economics, and Data Science (Course 6-​14)
• Interdisciplinary Programs (Graduate)
• Computation and Cognition (MEng)
• Computational Science and Engineering (SM)
• Computational Science and Engineering (PhD)
• Computer Science, Economics, and Data Science (MEng)
• Leaders for Global Operations (MBA/​SM and SM)
• Music Technology and Computation (SM and MASc)
• Real Estate Development (SM)
• Statistics (PhD)
• Supply Chain Management (MEng and MASc)
• Technology and Policy (SM)
• Transportation (SM)
• Aeronautics and Astronautics (Course 16)
• Aerospace Studies (AS)
• Civil and Environmental Engineering (Course 1)
• Comparative Media Studies /​ Writing (CMS)
• Comparative Media Studies /​ Writing (Course 21W)
• Computational and Systems Biology (CSB)
• Computational Science and Engineering (CSE)
• Concourse (CC)
• Data, Systems, and Society (IDS)
• Earth, Atmospheric, and Planetary Sciences (Course 12)
• Economics (Course 14)
• Edgerton Center (EC)
• Electrical Engineering and Computer Science (Course 6)
• Engineering Management (EM)
• Experimental Study Group (ES)
• Global Languages (Course 21G)
• Health Sciences and Technology (HST)
• Linguistics and Philosophy (Course 24)
• Management (Course 15)
• Media Arts and Sciences (MAS)
• Military Science (MS)
• Music and Theater Arts (Course 21M)
• Naval Science (NS)
• Science, Technology, and Society (STS)
• Special Programs
• Supply Chain Management (SCM)
• Urban Studies and Planning (Course 11)
• Women's and Gender Studies (WGS)

Interdisciplinary Doctoral Program in Statistics

The Interdisciplinary Doctoral Program in Statistics is an opportunity for students in a multitude of disciplines to specialize at the doctoral level in a statistics-grounded view of their field. Participating programs include Aeronautics and Astronautics, Brain and Cognitive Sciences, Economics, Mathematics, Mechanical Engineering, Physics, Political Science, and the IDSS Social and Engineering Systems Doctoral Program.

The program is administered jointly by the Statistics and Data Science Center and the participating academic units. Students enrolled in a doctoral program in a participating department may choose to be considered for the Interdisciplinary Doctoral Program in Statistics. Please refer to the program's website for details on the selection process.

Selected students will complete the home department’s degree requirements (including the qualifying exam) along with specified statistics requirements including a doctoral seminar, coursework in probability, statistics, computation and statistics, and data analysis, and a dissertation that utilizes statistical methods in a substantial way. 

For more information about the program, contact the Statistics Academic Administrator .

Print this page.

The PDF includes all information on this page and its related tabs. Subject (course) information includes any changes approved for the current academic year.

Statistics, PHD

On this page:, at a glance: program details.

• Location: Tempe campus
• Second Language Requirement: No

Program Description

Degree Awarded: PHD Statistics

As a science, statistics focuses on data collection and data analysis by using theoretical, applied and computational tools. The PhD program in statistics reflects this breadth in tools and considerations while allowing students sufficient flexibility to tailor their program of study to reflect individual interests and goals. Research can be of a disciplinary or transdisciplinary nature.

Degree Requirements

Curriculum plan options.

• 84 credit hours, a written comprehensive exam, a prospectus and a dissertation

Required Core (3 credit hours) STP 526 Theory of Statistical Linear Models (3)

Other Requirements (15 credit hours) IEE 572 Design Engineering Experiments (3) or STP 531 Applied Analysis of Variance (3) IEE 578 Regression Analysis (3) or STP 530 Applied Regression Analysis (3) STP 501 Theory of Statistics I: Distribution Theory 3 (3) STP 502 Theory of Statistics II: Inference (3) STP 527 Statistical Large Sample Theory (3)

Electives (42 credit hours)

Research (12 credit hours) STP 792 Research (12)

Culminating Experience (12 credit hours) STP 799 Dissertation (12)

Additional Curriculum Information Electives are chosen from statistics or related area courses approved by the student's supervisory committee.

Other requirements courses may be substituted with department approval.

Students must pass:

• one qualifying examination and coursework in analysis
• a written comprehensive examination
• a dissertation prospectus defense

Students should see the department website for examination information.

Each student must write a dissertation and defend it orally in front of five dissertation committee members.

Admission Requirements

Applicants must fulfill the requirements of both the Graduate College and The College of Liberal Arts and Sciences.

Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree in mathematics, statistics or a closely related area from a regionally accredited institution.

Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program or a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program.

All applicants must submit:

• graduate admission application and application fee
• official transcripts
• statement of education and career goals
• three letters of recommendation
• proof of English proficiency

Additional Application Information An applicant whose native language is not English must provide proof of English proficiency regardless of their current residency.

Completion of the following courses (equivalents at ASU are given in parentheses) is required. Applicants who lack any of these prerequisite courses must complete them before being considered for admission.

• calculus (MAT 270, 271 and 272)
• advanced calculus (MAT 371)
• linear algebra (MAT 342)
• computer programming (CSE 100)
• introductory applied statistics (STP 420)

Next Steps to attend ASU

Learn about our programs, apply to a program, visit our campus, application deadlines, learning outcomes.

• Able to complete original research in statistics.
• Proficient in applying advanced statistical methods in coursework and research.
• Address an original research question in statistics.

Career Opportunities

Statistical analysis and data mining have been identified as two of the most desirable skills in today's job market. Data, and the analysis of data, is big business, and the Department of Labor projects that overall employment of mathematicians and statisticians will grow 33% between 2020 and 2030, much faster than the average for all occupations.

For graduates of the doctoral program in statistics, that means a broad variety of career opportunities in fields as diverse as business, finance, engineering, technology, education, marketing, government and other areas of the economy.

These are just a few of the top career opportunities available for a graduate with a doctoral degree in statistics:

• business consultant or analyst
• data science professor, instructor or researcher
• data scientist
• faculty-track academic
• financial analyst
• market research analyst
• software engineer
• statistician

Program Contact Information

If you have questions related to admission, please click here to request information and an admission specialist will reach out to you directly. For questions regarding faculty or courses, please use the contact information below.

• [email protected]
• 480/965-3951

Ph.D. in Statistics

Our doctoral program in statistics gives future researchers preparation to teach and lead in academic and industry careers.

Program Description

Degree type.

approximately 5 years

The relatively new Ph.D. in Statistics strives to be an exemplar of graduate training in statistics. Students are exposed to cutting edge statistical methodology through the modern curriculum and have the opportunity to work with multiple faculty members to take a deeper dive into special topics, gain experience in working in interdisciplinary teams and learn research skills through flexible research electives. Graduates of our program are prepared to be leaders in statistics and machine learning in both academia and industry.

The Ph.D. in Statistics is expected to take approximately five years to complete, and students participate as full-time graduate students.  Some students are able to finish the program in four years, but all admitted students are guaranteed five years of financial support.  

Within our program, students learn from global leaders in statistics and data sciences and have:

20 credits of required courses in statistical theory and methods, computation, and applications

18 credits of research electives working with two or more faculty members, elective coursework (optional), and a guided reading course

Dissertation research

Coursework Timeline

Year 1: focus on core learning.

The first year consists of the core courses:

• SDS 384.2 Mathematical Statistics I
• SDS 383C Statistical Modeling I
• SDS 387 Linear Models
• SDS 384.11 Theoretical Statistics
• SDS 383D Statistical Modeling II
• SDS 386D Monte Carlo Methods

In addition to the core courses, students of the first year are expected to participate in SDS 190 Readings in Statistics. This class focuses on learning how to read scientific papers and how to grasp the main ideas, as well as on practicing presentations and getting familiar with important statistics literature.

At the end of the first year, students are expected to take a written preliminary exam. The examination has two purposes: to assess the student’s strengths and weaknesses and to determine whether the student should continue in the Ph.D. program. The exam covers the core material covered in the core courses and it consists of two parts: a 3-hour closed book in-class portion and a take-home applied statistics component. The in-class portion is scheduled at the end of the Spring Semester after final exams (usually late May). The take-home problem is distributed at the end of the in-class exam, with a due-time 24 hours later. 

Year 2: Transitioning from Student to Researcher

In the second year of the program, students take the following courses totaling 9 credit hours each semester:

• Required: SDS 190 Readings in Statistics (1 credit hour)
• Required: SDS 389/489 Research Elective* (3 or 4 credit hours) in which the student engages in independent research under the guidance of a member of the Statistics Graduate Studies Committee
• One or more elective courses selected from approved electives ; and/or
• One or more sections of SDS 289/389/489 Research Elective* (2 to 4 credit hours) in which the student engages in independent research with a member(s) of the Statistics Graduate Studies Committee OR guided readings/self-study in an area of statistics or machine learning. 
• Internship course (0 or 1 credit hour; for international students to obtain Curricular Practical Training; contact Graduate Coordinator for appropriate course options)
• GRS 097 Teaching Assistant Fundamentals or NSC 088L Introduction to Evidence-Based Teaching (0 credit hours; for TA and AI preparation)

* Research electives allow students to explore different advising possibilities by working for a semester with a particular professor. These projects can also serve as the beginning of a dissertation research path. No more than six credit hours of research electives can be taken with a single faculty member in a semester.

Year 3: Advance to Candidacy

Students are encouraged to attend conferences, give presentations, as well as to develop their dissertation research. At the end of the second year or during their third year, students are expected to present their plan of study for the dissertation in an Oral candidacy exam. During this exam, students should demonstrate their research proficiency to their Ph.D. committee members. Students who successfully complete the candidacy exam can apply for admission to candidacy for the Ph.D. once they have completed their required coursework and satisfied departmental requirements. The steps to advance to candidacy are:

• Discuss potential candidacy exam topics with advisor
• Propose Ph.D. committee: the proposed committee must follow the Graduate School and departmental regulations on committee membership for what will become the Ph.D. Dissertation Committee
•   Application for candidacy

Year 4+: Dissertation Completion and Defense

Students are encouraged to attend conferences, give presentations, as well as to develop their dissertation research. Moreover, they are expected to present part of their work in the framework of the department's Ph.D. poster session.

Students who are admitted to candidacy will be expected to complete and defend their Ph.D. thesis before their Ph.D. committee to be awarded the degree. The final examination, which is oral, is administered only after all coursework, research and dissertation requirements have been fulfilled. It is expected that students will be prepared to defend by the end of their fifth year in the doctoral program.

General Information and Expectations for All Ph.D. students

• 2023-24 Student Handbook
• Annual Review At the end of every spring semester, students in their second year and beyond are expected to fill out an annual review form distributed by the Graduate Program Administrator. 
• Seminar Series All students are expected to attend the SDS Seminar Series
• SDS 189R Course Description (when taken for internship)
• Internship Course Registration form
• Intel Corporation
• Berry Consultants

Attending Conferences 

Students are encouraged to attend conferences to share their work. All research-related travel while in student status require prior authorization.

• Request for Travel Authorization (both domestic and international travel)
• Request for Authorization for International Travel  

Statistics & Data Science

Dietrich college of humanities and social sciences, ph.d. programs, our ph.d. programs enable students to pursue a wide range of research opportunities, including constructing and implementing advanced methods of data analysis to address crucial cross-disciplinary questions, along with developing the fundamental theory that supports these methods..

Unique opportunities for our Ph.D. students include:

• We host four cross-disciplinary joint Ph.D. programs for students who want to specialize in machine learning , public policy , neuroscience , and the link between engineering and policy .
• Our faculty have deep involvement in a range of important, data-rich scientific collaborations, including in the areas of genetics, neuroscience, astronomy, and the social sciences. This allows students to have easy access to both the crucial questions in these fields, and to the data that can provide the answers.
• Students begin work on their Advanced Data Analysis Project in the second semester. This year-long, faculty/student collaboration, distinct from the thesis, provides an immediate intensive research experience.
• Carnegie Mellon is home to the first Machine Learning Department . Many of our faculty maintain joint appointments with this Department and they (and our students) have strong connections to this exciting and growing area of research.

The programs leading to the degree of   Doctor of Philosophy in Statistics   seek to strike a balance between theoretical and applied statistics. The Ph.D. program prepares students for university teaching and research careers, and for industrial and governmental positions involving research in new statistical methods. Four to five years are usually needed to complete all requirements for the Ph.D. degree.

These pages present the requirements for each of our Ph.D. programs.

The page   "Core Ph.D. Requirements"   lays out the requirements for all Ph.D. students, while each of the four joint programs are described under the Joint Ph.D. Degrees pages. Our Ph.D. students can also earn a   Master of Science in Statistics   as an intermediate step towards their ultimate goal.

Joint Ph.D. Programs

Statistics/machine learning, statistics/public policy, statistics/engineering and public policy, statistics/neural computation  .

PhD Program

The PhD Statistics program provides excellent training in the modern theory, methods, and applications of statistics to prepare for research and teaching careers in academia or industry, including interdisciplinary research in a wide array of disciplines. The median time to degree is five years.

Students will take courses in modern theory, methods, and applications of statistics, demonstrate mastery of this material via a qualifying examination, and then conduct statistical research under the supervision of one of the many regular or affiliate faculty members in the department, resulting in a dissertation.

The PhD qualifying examination is primarily based on the first-year curriculum. Most students pass at the end of the summer after the first year of the program. Students select between two versions of the examination, one with questions from mathematical statistics and probability or the second with questions from mathematical statistics and statistical methods.

Graduates are prepared for positions in academia, business, or government. They have taken positions at leading universities such as UC-Berkeley, Penn, and Yale and at top companies such as Google, Facebook, and Eli Lilly. The department strives to support students in the PhD program as teaching, research, or project assistants.

Questions about our Statistics PhD Programs can be directed to our graduate program coordinator at  [email protected] .

Resources, Regulations, and Policies

• Statistics PhD Handbook 2023-2024 More
• Criteria for Satisfactory Progress More
• Current PhD Regulations More
• 2014 PhD Regulations More

PhD Statistics Program Options

There are two program options students can select from – PhD Statistics, Statistics Option or PhD Statistics, Biostatistics Option . 

We have a single admissions process for both options and we encourage applicants to select only one of the options and not list both when applying. Selection of the program to which you apply has very little influence on the admissions decision. If you are unsure of which program option to choose, students who enter our PhD program may readily switch between the programs. 

Please note that the Department of Biostatistics and Medical Informatics has a separate PhD program in Biomedical Data Science that is distinct from the programs in the Department of Statistics.

Statistics Option

Career Outcomes : Students will be prepared for research and teaching careers in academia, industry, and other disciplines.

Coursework : Students will take courses in several broad areas of statistical methods and theory. This includes two-semester sequences in mathematical statistics and in statistical methods, either a course in probability theory or a course in statistical computing, a statistical consulting course, and a wide variety of elective options.

Biostatistics Option

Career Outcomes : Students will be prepared for careers in clinical research, genetics, drug testing, and experimental design in academia, government, and private sector.

Coursework : Students in the Biostatistics named option complete the same required courses as are in the Statistics named option, but have additional required coursework in biostatistics and biology and fewer elective course requirements.

Applying to the PhD Statistics Program

The application deadline is December 1 for a fall term start (no spring admissions).   A reminder to only list either the Statistics Option or Biostatistics Option in your application, not both. Again, students who enter the PhD program in Statistics can readily switch between the programs.

We welcome applications from around the world and strive to admit well-qualified applicants who are interested in the diverse array of research interests of our faculty. We do not make preliminary evaluations of any applicant inquiry based on email communication. No decision will be made until after the deadline has passed and a completed file (including the application fee) has been received.

Before applying to the Statistics Department, please read the Graduate School Frequently Asked Questions. Note that there is a non-refundable application fee. Applicants whose native language is not English, or whose undergraduate instruction was not in English, must provide an English proficiency test score.

To be considered for financial assistantship, all required application materials listed below should be submitted via the electronic application at https://apply.grad.wisc.edu/ by the December 1 deadline.

• Letters of Recommendation
• Transcripts
• Statement of Purpose
• CV or Resumé
• Supplemental Application (Including a List of Courses)
• English Proficiency
• A minimum of three (3) letters of recommendation to be submitted electronically by the recommenders.
• The online application for admission asks for the name and email contact information of the references from whom you request recommendations. A recommendation request will be sent, by email, to each of your references. The email will include your name with a link to each department’s electronic recommendation form. The request can be sent at any time providing you meet department deadlines. You can change references or send a reminder through your application.
• It is common practice to contact your references ahead of time so that they expect your request.
• After you have submitted your application, you can view receipt of your recommendations through the online status system.
• As part of the online application, please upload a clear and easy-to-read PDF copy of your transcript from each institution of higher learning (post High School) that you have attended. Unofficial transcripts are acceptable. If we offer you admission, you will be asked to provide an official copy of your transcript to the Graduate School at that time. Admission will be contingent upon receiving the official transcript.
• If courses at the institution were not taught in English, we will need an electronic copy of both the transcript in the original language, and the transcript in English.
• Your statement of purpose should include why you feel that the UW-Madison program is a good fit for you, and conversely, why you are a good fit for our program. What are you hoping to work on in the field with your degree? Are there any professors here that you would particularly like to work with? Any research areas in statistics that particularly excite you?
• The overall length of the statement is usually about 2 pages, single or double spaced. You can use whatever font and formatting you are comfortable with.

Please upload a PDF copy of your CV or Resumé to the online application.

A supplemental application is required as part of the online application. You will be asked to answer the following questions and provide the following information:

• Are you applying to the Biostatistics option? Yes/No (There is no advantage to applying to both programs.)
• List any major competitive honors, awards, and/or fellowships you have received.
• List any undergraduate or graduate research experiences.
• Provide a table with all courses you have taken, are currently taking, or plan to take prior to coming to UW-Madison that contain substantial mathematical, statistical, quantitative, or computational content. Include courses from other disciplines such as economics, physics, or engineering, if applicable. Use one row per course with columns for the course number, course title, textbook used (if possible), and grade received (if already completed). Upload this document as a pdf.

The GRE is not required.

• For all international degree-seeking students, see the  Graduate School requirements page  for additional information.

Consult the Graduate School for general information about graduate admissions to the University of Wisconsin-Madison.

If you have any further questions, please email [email protected] . Please include your full name and what semester you are interested in applying for.

The Ph.D. in Mathematics, with a Specialization in Statistics is designed to provide a student with solid training in statistical theory and methodology that find broad application in various areas of scientific research including natural, biomedical and social sciences, as well as engineering, finance, business management and government regulations. It aims to produce future researchers in contemporary statistics, both in academia and industry, who will contribute to satisfy the tremendous need for new statistics theory and methodology following the rapid growth of computing power, high throughput technology, and the explosion of digital data acquisition technologies.

Prospective students must apply to the  Ph.D. program in Mathematics  and select "Statistics" in the "Current Area of Interest" section of their on line application (this means the person is applying the Specialization in Statistics degree). Demonstration of computer literacy is highly desired; knowledge of a programming language such as Perl or C, and knowledge of a statistical computing package such as SAS, R, S-PLUS or STATA are also desirable. The program may admit students without this level of preparation with the understanding that the student will promptly make up any deficiencies by taking additional courses upon entering the program.

Program Requirements for the Specialization in Statistics

• The specialization requires completion of 72 units before advancement to Ph.D. candidacy.
• Full-time students are required to register for a minimum of twelve (12) units every quarter, eight (8) of which must be graduate-level mathematics courses taken for a letter grade only.
• MATH 280A-B-C (Probability Theory)
• MATH 281A-B-C (Mathematical Statistics)
• MATH 282A-B (Applied Statistics)
• MATH 287A (Time Series Analysis)
• MATH 287B (Multivariate Analysis)
• MATH 287C (Advanced Time Series Analysis)
• MATH 287D (Statistical Learning)
• MATH 202A (Applied Algebra I)
• MATH 240A-B-C (Real Analysis)
• MATH 241A-B (Functional Analysis)
• MATH 261A-B-C (Probabilistic Combinatorics and Algorithms)
• MATH 270A-B (Numerical Analysis)
• MATH 271A-B-C (Numerical Optimization)
• MATH 283 (Statistical Methods in Bioinformatics)
• MATH 285 (Stochastic Processes)
• MATH 289A-B (Topics in Probability and Statistics)
• MATH 294 (The Mathematics of Finance)
• Candidates must acquire experience in statistical consulting and the practical analysis of data. To meet this requirement, students must participate in the MathStorm graduate student consulting seminar for one year. A project outside the consulting seminar can be substituted only if prior approval is obtained from the director of the consulting seminar and the student's advisor. Students should complete at least five quarters of coursework before taking the consulting seminar and are encouraged to fulfill the requirement in their third or fourth year.
• Students must pass two written qualifying exams. One of the required exams is in Mathematical Statistics (MATH 281A-B-C) the other is recommended to be in Real Analysis (MATH 240A-B-C). At least one of the exams should be passed at the Ph.D. level, and both exams should be passed at the provisional doctoral level or better.
• At least one of the exams should be passed at the provisional doctoral level before the start of the second year and both passed before the start of the third year, for the student to remain in the Ph.D. program.
• Before the start of the third year, the student is required to take Applied Statistics (MATH 282A-B) and pass the comprehensive exam in this subject.
• No foreign language requirement.

Advancement to Candidacy

It is expected that by the end of the third year (9 quarters), students should have a field of research chosen and a faculty member willing to direct and guide them. A student will advance to candidacy after successfully passing the oral qualifying examination, which deals primarily with the area of research proposed but may include the project itself. This examination is conducted by the student's appointed doctoral committee. Based on their recommendation, a student advances to candidacy and is awarded the C. Phil. degree.

Dissertation and Final Defense

Students participating in the Ph.D. in Mathematics with a Specialization in Statistics must complete a dissertation and final defense that meets all requirements for the regular Ph.D. in mathematics.

Students who wish to switch between the regular Ph.D. program in Mathematics and the Specialization in Statistics must submit a written request to the graduate vice chair for consideration. Approval is not automatic, however.

9500 Gilman Drive, La Jolla, CA 92093-0112

(858) 534-3590

How to Apply

GRE and TOEFL/IELTS Scores

GRE scores are not required or reviewed. 

Any international student who does not qualify for an English language proficiency  waiver will be required to submit official TOEFL or IELTS scores. There can be no exceptions to this policy. 

Academic Statement of Purpose & Personal Statement

The Statistics PhD program will require applicants to submit both an academic statement of purpose and a personal statement . 

Applications are submitted electronically using the  Web-Based Application form . Required application materials include a CV, transcripts from all undergraduate/graduate institutions, and two letters of recommendation. Additional information beyond what is requested as part of the Web-Based Application form is not required. All requested application materials should therefore be submitted as part of the Web-Based Application process.

IMPORTANT : no other materials should be sent to the Field of Statistics by e-mail, FAX or surface mail unless applicants are contacted directly and asked to submit additional information. Neither the Field of Statistics nor Department of Statistics and Data Science will accept, or otherwise assume liability for, unsolicited information submitted by PhD and MPS program applicants.

Please refer to the Graduate School's page for further details on admission requirements, information on degrees, subjects, and concentrations for the Statistics PhD program. Please refer to the Graduate School Fellowship in Support of Diversity page for details about fellowships. 

Application Deadlines

Applications for the PhD program are due by January 1st for admission in the following Fall term; Spring term admission is not permitted.

PhD in Statistics

The Doctor of Philosophy (PhD) program in Statistics is designed to prepare you to work on the frontiers ofthe discipline of Statistics, whether your career choice leads you into research and teaching or into leadership roles in business, industry and government.

The program is very flexible particularly in the choice of electives and of research topic. You may even choose to do research on the interface of Statistics and some other discipline, such as Computer Science, Genetics, Forestry, Bioinformatics, Economics, etc. The course requirements are designed to ensure that you have sufficient training in Probability, Statistical Inference, Computing, and Applications to prepare you for research on the cutting edge of Statistics.

Many items in this section, with some modifications for the Department’s purposes, are taken from the Graduate Bulletin .

Prerequisite and Application Information

Guidelines for PhD Program 

Detailed Program Information

NEED MORE DIRECTION?

Jaxk Reeves Graduate Coordinator I [email protected]

Liang Liu Graduate Coordinator II [email protected]

We appreciate your financial support. Your gift is important to us and helps support critical opportunities for students and faculty alike, including lectures, travel support, and any number of educational events that augment the classroom experience. Click here to learn more about giving.

Every dollar given has a direct impact upon our students and faculty.

Ohio State nav bar

The Ohio State University

• Buckeye Link
• Find People
• Search Ohio State
• Degrees and programs
• Doctor of Philosophy

Statistics Doctor of Philosophy

The Department of Statistics offers several graduate degree programs, including the MS and PhD in Statistics and the Master of Applied Statistics (MAS) degree. It jointly administers a unique Interdisciplinary PhD Program in Biostatistics  with the Division of Biostatistics in the College of Public Health.

The department aims to contribute to virtually all areas of statistical science, including the development of novel statistical theory and methodology. Specific areas of excellence include Bayesian statistics, spatio-temporal statistics, statistical learning and biostatistics.

Research is directed toward modern and emerging areas of interest. A large portion of the department’s faculty and students are involved in interdisciplinary research and make significant scientific contributions beyond the field of statistics. Faculty members are highly successful at securing competitive grants from various research funding agencies, including the National Science Foundation (NSF) and National Institutes of Health (NIH). In addition, the department is a partner in administering the NSF-funded  Mathematical Biosciences Institute  on the Ohio State campus.

PhD in Statistics

The core of the PhD program consists of course work in mathematical statistics, as well as a variety of applied and theoretical courses in various topical areas. In the early part of the program, students complete required and elective course work in addition to qualifying examinations. Note that we admit students to the statistics department to work in statistics, but not to work with a particular faculty member. For a student’s first two years in the program, the Graduate Studies Chair of the department serves as the advisor and students are encouraged to take independent study courses with faculty members they might like to work with.

After the second year, students, together with faculty members, decide who will be their PhD dissertation advisor(s) and committee members. After completing the qualifying exams and course work, students focus on research and finish the program with their dissertation and defense. Students typically complete the program in about five years although it is possible to finish in less time, depending on the student’s dissertation progress.

For more information, visit stat.osu.edu .

Optional Practical Training (OPT)

International graduates of this major are approved by the Department of Homeland Security for three (3) years of work permission in the United States after graduation. Visit the Office of International Affairs website for more information.

If you have a disability and experience difficulty accessing this content, please contact [email protected] .

Student Academic Services Building | 281 W. Lane Ave. | Columbus, Ohio 43210

Webmaster | Nondiscrimination notice | Annual Security Report | GP program resources

Privacy statement | Cookie settings

Fully Funded PhD Programs in Statistics

Last updated May 14, 2022

As part of our series  How to Fully Fund Your PhD , here is a list of universities that fully fund PhD students in Statistics. PhD in Statistics can lead to a variety of careers in consulting, academia, a variety of industries, and more.

“Full funding” is a financial aid package for full-time students that includes full tuition remission as well as an annual stipend or salary during the entire program, which is usually 3-6 years. Funding usually comes with the expectation that students will teach or complete research in their field of study. Not all universities fully fund their doctoral students, which is why researching the financial aid offerings of many different programs, including small and lesser-known schools both in the U.S. and abroad, is essential.

The  ProFellow database  for graduate and doctoral study also spotlights external funding opportunities for graduate school, including dissertation research, fieldwork, language study, and summer work experiences.

Would you like to receive the full list of more than 1000+ fully funded programs in 60 disciplines? Download the FREE Directory of Fully Funded Graduate Programs and Full Funding Awards !

Columbia University, PhD in Statistics

(New York, NY): All students in the Ph.D. program receive, for up to five years, a funding package consisting of tuition, fees, and a stipend. These fellowships are awarded in recognition of academic achievement and in expectation of scholarly success; they are contingent upon the student remaining in good academic standing. Summer support, while not guaranteed, is generally provided.

Ohio State University, PhD in Statistics

(Columbus, OH): Students who are offered the funding at the time of admission either via a Fellowship or Graduate Teaching Associateship are typically guaranteed funding through the duration of their program (up to five years if needed for a Ph.D. student or two years for a master’s student) provided that the student continues to make appropriate progress toward the degree and carries out assigned duties satisfactorily.

Stanford University, PhD in Statistics

(Stanford, CA): Students accepted to the Ph.D. program are offered financial support. All tuition expenses are paid and there is a fixed monthly stipend determined to be sufficient to pay living expenses. Financial support can be continued for five years, department resources permitting, for students in good standing.

University of Chicago, PhD in Statistics

(Chicago, IL): In recent years our department has been able to provide full support (tuition, most fees, health insurance, and a stipend) for most of its Ph.D. students, and we expect to do so for the foreseeable future. Ordinarily, students are supported for at least four years. Support is not tied to working with a particular faculty member. At present, most fifth-year students receive full support, and most Ph.D. students receive summer support.

University of Nevada, Reno, PhD in Statistics and Data Science

(Reno, NV): All students accepted to the Statistics and Data Science Ph.D. program receive an annual stipend of $17,000, a tuition waiver, and a subsidized medical plan. Students may also pursue departmental and University-wide scholarships.

University of Texas at Austin, PhD in Statistics

(Austin, TX): It is our intention that each PhD Statistics student will be fully financially supported for four academic years, the duration of his/her program of study. There are in general three types of support: academic employment, graduate fellowships, and grants.

University of Texas at San Antonio, PhD in Applied Statistics

(San Antonio, TX): Full-time students admitted to the Ph.D. program are usually awarded fellowships that include a waiver of tuition, a stipend to help cover living expenses, and some health care benefits. The stipend is likely to vary but could be in an amount up to $25,000 annually.

Duke University, PhD in Statistical Science

(Durham, NC): About half of the financial aid specified in your acceptance letter will be given to you without you having to do anything except maintain good academic standing. The other half is contingent upon you being a teaching assistant (TA) or research assistant (RA) within the department.

Need some tips for the application process? See my article  How To Get Into a Fully Funded PhD Program: Contacting Potential PhD Advisors .

Also, sign up to discover and bookmark more than 1800 professional and academic fellowships in the  ProFellow database .

© Victoria Johnson 2020, all rights reserved.

Related Posts:

• Fully Funded PhD Programs in Cinema and Media Studies
• Fully Funded Master's Programs in Statistics
• Fully Funded Master's Programs in Chemistry
• Fully Funded PhD Programs in Health Informatics
• Fully Funded PhD Programs in Mathematics

Fully Funded PhD Programs , PhD in Statistics

The First-Ever Digital IFN Event: Global Experiences of Fellows During...

The usaid donald m. payne international development fellowship: applic..., find and win paid, competitive fellowships.

Be alerted about new fellowship calls for applications, get insider application tips, and learn about fully funded PhD and graduate programs

Fellowship Resources

• Calls for Applications
• Upcoming Fellowship Deadlines
• Fellowships Database
• Interviews with Fellows
• International Fellows Network
• Graduate Funding Directory

Fellowship Tips

• What is a Fellowship?
• Fully Funded Course
• Graduate School Funding
• Fellowship Application Tips
• Fulbright Application Tips
• Fellowship Application Guide
• Our Mission, History & Values
• ProFellow Winner Testimonials
• Fully Funded Course Testimonials
• Fellowship Industry Report
• Advertise With Us
• Terms & Privacy

ProFellow is the go-to source for information on professional and academic fellowships, created by fellows for aspiring fellows.

©2011-2024 ProFellow, LLC. All rights reserved.

Accessibility Tools

Highlight links, change contrast, increase text size, increase letter spacing, readability bar, dyslexia friendly font, increase cursor size, phd in statistics, phd in statistics program.

The Doctor of Philosophy degree program with a major in statistics is designed for students who plan to pursue careers in university teaching and research or in industrial and government research and consulting. A doctoral student pursuing the degree program in statistics may choose to emphasize either statistics or probability.

The Department of Statistics and Probability is accepting applications for our PhD in Statistics program for Fall 2025.

The application for admission, application fee, and all required supporting documents should be submitted no later than  January 15, 2025. The application system opens each August.

For full consideration of MSU Graduate School and College of Natural Science fellowship opportunities, applications should be received by  December 1, 2024 . These fellowships are different than graduate assistant positions awarded by the department to students admitted to the PhD in Statistics program. 

STEPS TO APPLY 

Submit the required documents and complete the application by Jan. 15, 2025 . For University Fellowship consideration, please submit everything by December 1, 2024.

• Help guides for the application process: Domestic Application or International Application
• Create an account. You will need this to access your application, where all documents must be uploaded. explore.msu.edu/apply/
• Choose the PhD major from the dropdown list:   Statistics
• See our PhD Handbook for program requirements STT Graduate Handbook
• You must pay the application fee $65 (domestic) or $75 (international). If you are financially unable to pay the fee, visit the Application Fee Waiver site for assistance: https://grad.msu.edu/application-fee-waiver
• Once you submit and pay the application fee, you can upload all required documents. See list below and please use this helpful checklist: Application Checklist

Applications are accepted for Fall Semester only.  We do not accept applications for Spring or Summer semesters. You can check your application status through the  Application Portal . Questions? Please contact us at [email protected] .  Thank you for your interest in our graduate program.

REQUIRED APPLICATION DOCUMENTS for PhD Program

Please use the Application Checklist to help you. All required documents below must be uploaded to the Application Portal:   explore.msu.edu/apply/

Official Transcripts: All college work (undergraduate and graduate), including diplomas and certificates translated in English, must be sent to MSU Department of Statistics and Probability directly from the school(s) which you attended or are currently attending. Domestic (located in the US) colleges can send electronic transcripts. International colleges are required to send hard (paper) copies.  Note: Applicants are encouraged to upload unofficial transcripts to the student portal for the committee to review while we wait for Admissions to add your official transcripts to your profile.  Our address: Michigan State University Department of Statistics and Probability Wells Hall  619 Red Cedar Road, Room C413 East Lansing, MI 48824 USA

GRE : The GRE test is required for PhD applicants. Sub tests are not required. Test Scores must be submitted to the Michigan State University Graduate Admissions Office by the Educational Testing Service. The Institutional Code for MSU is 1465. No department code is necessary.   

Three (3) Letters of Recommendation: The Department of Statistics and Probability requires THREE (3) letters of recommendation. These must be submitted from professors or other professionals who can assess your promise of success in our graduate program. You cannot upload the letters of reference yourself. There is a place for you to list the name and email of your recommenders and they will be contacted and asked to upload a letter for you. As writing and submitting a letter might take some time, please give your recommenders enough time to prepare their letters.

Register your references /  recommenders through the Application Portal. Under "References” Click “Add Recommender” and enter their information. Decide if you want to waive your right to access your letters of recommendation. Sign electronically and then click "Send to Recommender” or click "Save" to enter details at a later time. When you "Send to Recommender," the system will send your reference an email of instructions on how to submit their letter of reference.

Do not have hard copy letters of recommendation mailed. They must be submitted through the Application Portal: explore.msu.edu/apply/

TOEFL Scores (International Students Only) : TOEFL test scores must be submitted to the Michigan State University Graduate Admissions Office by the Educational Testing Service. The Institutional Code for MSU is 1465. No department code is necessary. Please note that the Department of Statistics and Probability requires TOEFL, and we do not accept other language tests. The TOEFL test is valid for 2 years from the date of the test to the first day of class for the admit semester. For Fall semester 2025 that would be Aug. 28, 2025. The minimal TOEFL scores required for regular admission at MSU MSU English Proficiency Requirements

• Listening 19
• Speaking 19
• *Plus 1 point or more on any of these topics to equal a minimum of 80 points .

***NOTE: Due to cancellations of TOEFL, MSU will be temporarily accepting the TOEFL iBT Special Home Edition from applicants affected by these closures. We will also accept IELTS. 

Advanced Mathematics Profile: Advanced Mathematics Profile Click for link. Fill in the table with every advanced mathematics and statistics course you have completed (with grade) or expect to complete before beginning graduate study at Michigan State University. This information will be used to assess your math and statistics-related preparation. Please list all that apply. Upload your math profile document under the "Personal Statement" section of the MSU online application.

Academic Statement: This is sometimes referred to as your Statement of Purpose. Upload this document under the "Academic Statement" section of the MSU online application.

Resume / CV: A current Resume / CV is required. Please upload to your online application.

PhD Program

Advanced undergraduate or masters level work in mathematics and statistics will provide a good background for the doctoral program. Quantitatively oriented students with degrees in other scientific fields are also encouraged to apply for admission. In particular, the department has expanded its research and educational activities towards computational biology, mathematical finance and information science. The doctoral program normally takes four to five years to complete.

Doctoral Program in Statistics

Statistics phd minor.

• Rankings, Awards, and Stats
• Department Awards
• Diversity and Inclusion
• Undergraduate
• Information for New Statistics Freshmen
• Statistics Major Advising and Registration FAQs
• Statistics Major
• Statistics Minor
• Academic and Research Opportunities
• Clubs and Organizations

Ph.D. Programs

• Master’s Programs
• Online Programs
• Application Process
• Student Life
• Research Areas
• Administration
• Graduate Students
• Faculty Resources
• Staff Resources
• Student Resources
• IT Resources

We are an excellent choice for bright minds seeking an outstanding statistics doctoral education.

Ph.D. in Statistics Our core Ph.D. program focuses on providing students with comprehensive and rigorous training in cutting-edge statistical theory, methodology and applications, state-of-the-art computing skills and ability for conducting high-quality interdisciplinary research. Our Ph.D. graduates typically take positions in academia, government, financial services, and pharmaceutical and IT industries.

Ph.D. Co-major A student pursuing the Ph.D. co-major program must satisfy the requirements of both departments. In the past, co-major degrees at the Ph.D. level were awarded jointly with biomathematics, crop science, economics and operations research. The dissertation must embody the results of original research of a standard that would warrant publication in a research journal from one or both of the two fields. A statistics Ph.D. co-major committee must have at least two statistics faculty (faculty with at least a 25 percent appointment in statistics), including the chair or one of the co-chairs.

Students currently enrolled in a graduate program at NC State may request a statistics minor, unless the program is an option B program. Please consult the university’s Graduate Administrative Handbook for rules about obtaining a minor.

Learn more about minors.

Program Prerequisites

Students are expected to have a good foundation in the material covered in the core courses (ST 701, 702, 703, 704 and 705), even if their master’s degree was received at another institution. Some students with previous master’s degrees find it useful to take these courses at NC State. However, this tends to lengthen the time to degree. Students are also expected to have had a course comparable to MA 425 (Mathematical Analysis I).

Required Coursework

Students that join our doctoral program with a Master of Statistics from another university are required to have a minimum of 54 credit hours in their doctoral Plan of Work (POW). Students who receive their master’s degree from NC State must have a minimum of 72 credit hours on the master’s and Ph.D. POWs combined. The POW may include research credit hours (ST 895); however, students are required to take 24 hours of coursework consisting of core courses, a consulting course, and electives as detailed below.

• ST 779: Advanced Probability
• ST 793: Advanced Statistical Inference
• ST 758: Computation for Statistical Research
• ST 841: Statistical consulting (unless student has taken ST 542 in our department)
• Ethics sequence: Ethics in Statistics (currently offered as ST810-004) and PHI 816 Research Ethics. These partial-semester courses are designed to be taken together.

Nine hours of statistics Ph.D. electives are required from the following list:

• ST 732: Longitudinal Data Analysis
• ST 733: Spatial Statistics
• ST 740: Bayesian Inference and Analysis
• ST 746: Stochastic Processes
• ST 790: Advanced Special Topics

Three hours of supporting electives are also required — a 500 or 700 level course in either statistics or another department with material relevant to the student’s plan of work. Examples include ST 520, ST 733, ST 744 and ST 745.

Other Information

Learn about Ph.D. graduate advisory committee requirements.

Learn about Ph.D. examination requirements.

See the Graduate School’s site for a list of required documents that must be received before graduation.

All questions regarding the graduate programs should be emailed to Graduate Services.

Department of Mathematics and Statistics

College of natural and mathematical sciences, ms and phd programs in applied mathematics or statistics.

The Department of Mathematics and Statistics offers graduate programs leading to the Master’s (MS) and Doctor of Philosophy (PhD) degrees in both Applied Mathematics and Statistics . The department has had an active graduate program in applied mathematics since 1970. It expanded to include a full graduate program in statistics in 1984. The strength of these programs lies in its graduate faculty, who are actively engaged in research in applications of mathematics and statistics in a wide variety of real-world problems, as well as in investigations of fundamental and theoretical questions. The faculty designs and implements courses and curricula with emphasis on innovative research directed toward practical applications, as mandated by the charter from the University System of Maryland Board of Regents.

Both the Applied Mathematics and Statistics programs are intended for those students who are interested in pursuing an advanced degree and who have earned the equivalent of a bachelor’s or master’s degree in mathematics, statistics or in other mathematically oriented disciplines. Students who already hold a master’s degree may apply and enter the doctoral program directly. The doctoral programs provide training suitable for employment in academia, industrial research and development organizations, as well as research-oriented government agencies. The master’s degree programs provide training in applications of mathematics and statistics in areas suitable for employment in industry or government agencies. They also can serve as preparatory steps toward advancing to a PhD program.

Please note: Applications for admission should be submitted through the Graduate School’s site at https://gradschool.umbc.edu/ . The department can only process complete applications submitted to that site.

Individuals wishing to benefit from the department’s course offerings without enrolling as degree-seeking students may do so by filing a non-degree seeking student application form. For students who do not already hold an undergraduate degree, a combined BS+MS program leading to a master’s degree in either applied mathematics or statistics is also offered by the department.

Tracks/options toward the MS degree

To serve the students’ varying range of backgrounds and goals, the department has instituted several tracks/options within its master’s degree programs, as listed below. Each track defines a set of well-focused graduation requirements. Students who intend to continue to the doctoral programs should consider the traditional tracks in Applied Mathematics or Statistics. A student whose final goal is a master’s degree in statistics may consider the applications-oriented track in statistics. Most graduate courses are offered in the late afternoon or in the evening to enable the participation of those who hold full-time employment.

• Comprehensive examination option
• Thesis option
• Traditional track with comprehensive examination option
• Traditional track with thesis option
• Applications-oriented track: Environmental Statistics with comprehensive examination option
• Applications-oriented track: Environmental Statistics with thesis option
• Applications-oriented track: Biostatistics with comprehensive examination option
• Applications-oriented track: Biostatistics with thesis option

The comprehensive examination options require taking 30 credits of courses and passing a written comprehensive examination. The thesis options requires taking 24 credits of courses plus 6 credits of master’s thesis research. Please consult the Graduate Catalog for the details.

The PhD degree programs

The department offers doctoral study in a broad spectrum of both classical and modern applied mathematics and statistics. Admission to these programs presupposes a strong background in mathematics and/or statistics. Doctoral students continue with advanced study and dissertation research, with specialization in any of the departmental fields or in an interdisciplinary area.

Particular emphasis is given to the following areas in applied mathematics: differential equations and applications, numerical analysis and scientific computation, dynamical systems, stochastic processes, mathematical biology, optimization theory and algorithms.

In statistics, the areas of emphasis are: Bayesian analysis, biostatistics, data mining, design of experiments, environmental statistics, nonparametric statistics, reliability, spatial statistics and image analysis, statistical decision theory and inference, survival analysis, time series analysis.

A rough outline of the programs’ requirements is:

• Completing the course work;
• Passing the written Master’s comprehensive examination.
• Passing the written PhD qualifying examination;
• Passing the oral PhD qualifying examination;
• Admission to candidacy;
• Completing residency requirements of the university;
• Completing and successfully defending a doctoral dissertation.

Please consult the Graduate Catalog for the details of the requirements.

Policies and Procedures Handbook

The Policies and Procedures handbook describes policies and procedures pertaining to graduate students in the Department of Mathematics and Statistics at UMBC. It adds, expands and clarifies the requirements set forth in the Graduate Catalog, which is the Graduate School’s official manual for UMBC’s graduate students.

The focus of the handbook is on full-time students who receive financial support from the department. Many, but not all, of the policies described here apply to part-time and independently-supported students as well. If in doubt, please consult the Graduate Program Director for clarification.

Samples of Comprehensive Exams

To help students with preparing for the Master’s and PhD Comprehensive Examinations, the department makes available a selection of exams given in the past. These should give you an indication of the level of preparation expected in these exams.

Pre-application form

If you are interested in applying for admission to the graduate program in Applied Mathematics or Statistics, you may want to submit a pre-application form for a no-cost, no-obligation informal feedback about how well your educational background fits the demands of the program.

For further information regarding graduate programs in Applied Mathematics and Statistics please contact:

Dr. Andrei Draganescu Graduate Program Director Program in Applied Mathematics Phone: 410–455–3237 Email: [email protected]

Dr. DoHwan Park Graduate Program Director Program in Statistics Phone: 410–455–2408 Email: [email protected]

• Accreditation
• Consumer Information
• Equal Opportunity
• Privacy PDF Download
• Web Accessibility

Subscribe to UMBC Weekly Top Stories

I am interested in:.

• I am interested in: Undergraduate
• I am interested in: Graduate
• I am interested in: Professional Masters

Shark attack on South Padre Island, Texas leaves 2 injured, 2 others report encounters

An official emphasized that the shark attack is "a very rare occurrence.".

A Fourth of July at the beach went awry due to a shark attack on South Padre Island, a popular tourist destination on the Southeast Texas Coast. Two people were bitten by a shark, and beachgoers were cleared from the water, officials said.

In addition to the two shark bites, two other people experienced shark encounters but were not seriously injured, Texas Parks and Wildlife stated in a news release. 

The encounters were among six reported in the U.S. within about 30 hours this week.

The two Texas bite victims were taken to a local hospital for treatment, and one of those was flown to another hospital for further treatment, the Wildlife Department said. Game wardens, the South Padre Island Police Department, the Texas Department of Public Safety, and others assisted with crowd control.

Two members of a U.S. Border Patrol search, trauma and rescue team pulled one bite victim from the water and administered “life-saving” aid, the Border Patrol Laredo Sector posted on its Facebook page.

Shark encounters are uncommon in Texas, the Wildlife Department said. 

“The shark was located at the south end of the island and was pushed out to deeper water, “South Padre Island Fire Chief Jim Pigg told Fox 9. “This is a very rare occurrence that happened on the beaches of South Padre. No further sightings or encounters in the last few hours, but we’ll maintain vigilance.”

Shark attacks: Are shark attacks on the rise? | The Excerpt

Two shark bites in "shark bite capital"

Two shark bites also were reported this week in New Smyrna Beach, in Volusia County, Florida. which has the dubious distinction of being considered the "shark bite capital of the world" year after year. Eight shark bites were reported by the county last year.

On Independence Day, a 21-year-old visitor from Ohio was bitten on his right foot while playing football in knee-deep water at around 4 p.m. , said Tamra Malphurs, interim director of the Volusia County Beach Safety and Ocean Rescue.

Then, a little more than 24 hours later, a 26-year-old visitor from Sarasota, Florida was bitten on his left foot while wading in an inner tube in about 5 feet of water, Malphurs said. Neither of the injuries were considered life-threatening but both bite victims were taken to the hospital.

Texas victims and families speak out about shark encounter

One of the victims in Texas, Victoria Ramos, opened up with KHOU about her experience with the shark.

"I just feel, like this pressure, like someone punched me or someone pushed the back of my leg, and I turn around, and there's this shark, and he's turning around, and we're yelling, leaving the water. There's little bite marks on my calf, but I'm alright for now," Ramos recalled.

Videos circulating online show the shark swimming near the shore. Another beachgoer said he saw his son-in-law go under the water before jumping out and saying, "Shark, Shark, Shark!"

"That's when adrenaline kicked in. I started swimming after him," Rayner Cardenas told local news about the bitten victim.

Shark encounters in the U.S. this summer

Several other shark attacks have been reported in the U.S. this summer.

A man in his 40s on a boat offshore of Amelia Island in Northeast Florida suffered a severe shark bite to his forearm and was rescued and airlifted to a hospital for treatment in late June.

That same month, a 14-year-old was attacked in North Topsail Beach , North Carolina, and "Pirates of the Caribbean actor Tamayo Perry died after being fatally injured by a shark in Oahu, Hawaii.

On June 7 alone, four people were left injured . Three were injured in shark attacks on Florida’s northern Gulf coast. One 45-year-old woman was critically injured along the beach in Walton County, Florida. Two teenage girls were injured while in waist-deep water about 4 miles away from the first incident. Also, on June 7, a 25-year-old woman was bitten by a shark off Oahu .

Why do sharks attack?

Last year, 69 unprovoked shark bites were reported worldwide, according to the International Shark Attack File at the University of Florida's Florida Museum of Natural History. That was an increase from the previous year but still considered within normal range, said Gavin Naylor, director of the  shark research program , which tracks shark attacks worldwide.

More than half of those bites – 36 – were in the U.S., a little more than half the worldwide total, but five fewer bites than in 2022.

Naylor and other shark experts say shark bites are most often a case of mistaken identity when sharks mistake swimmers and surfers for fish. Surfers paddling themselves in the water may resemble fish, for example.

The Shark Attack file confirmed ten unprovoked shark-related deaths last year. Ten of those were considered unprovoked, four more than the five-year annual average. Two of the fatal attacks were in the U.S. The program considers a provoked shark attack bite when a shark is intentionally or unintentionally confronted.

Surfers and people participating in other board sports accounted for 42% of the incidents in 2023, the Shark Attack File reported. Swimmers and waders accounted for 39%, and snorkelers and divers for 13%.

Sharks: No match for warming oceans, studies say

How to avoid a shark encounter:

Watch for signals in the water, such as large schools of bait near shore or big flocks of birds diving into the water, which could mean fish are in the water, and avoid those areas.

Other tips from the Shark Attack File include the following:

• Stay close to the beach
• Don't swim alone
• Don't swim at dusk or dawn
• Avoid wearing jewelry because it can resemble fish scales
• Avoid excess splashing
• Don't enter the water if bleeding from an open wound or menstruating

What should you do if you encounter a shark?

Maintain eye contact and move away, leaving the water if you can, according to the shark attack file. And if a shark tries to bite you, hit the shark in the eyes and gills or on the snout to push it away.

Advertisement

Supported by

Fact-Checking Biden’s and Trump’s Claims About the Economy

We fact-checked claims about inflation, jobs and tax policy from both presidential candidates.

• Share full article

By Linda Qiu

Reporting from Washington

Consumer sentiment about the state of the economy could be pivotal in shaping the 2024 presidential election.

President Biden is still grappling with how to address one of his biggest weaknesses : inflation, which has recently cooled but soared in his first years in office. Former President Donald J. Trump’s frequent economic boasts are undermined by the mass job losses and supply chain disruptions wrought by the pandemic.

Here’s a fact check of some of their more recent claims about the economy.

Both candidates misrepresented inflation.

What Was Said

“They had inflation of — the real number, if you really get into the real number, it’s probably 40 percent or 50 percent when you add things up, when you don’t just put in the numbers that they want to hear.” — Mr. Trump at a campaign event in Detroit in June

“I think it could be as high as 50 percent if you add everything in, when you start adding energy prices in, when you start adding interest rates.” — Mr. Trump in a June interview on Fox News

This is misleading. Karoline Leavitt, a spokeswoman for the Trump campaign, cited a 41 percent increase in energy prices since January 2021, and prices for specific energy costs like gasoline rising more than 50 percent during that time.

We are having trouble retrieving the article content.

Please enable JavaScript in your browser settings.

Thank you for your patience while we verify access. If you are in Reader mode please exit and  log into  your Times account, or  subscribe  for all of The Times.

Thank you for your patience while we verify access.

Already a subscriber?  Log in .

Want all of The Times?  Subscribe .

2024-2025 Campus Internship - Research & Development (PhD)

Job location.

Frankenmuth, MI, US, 48787

Employment Type

Job posted on.

5 July 2024

Job Overview

• Industry: Chemical Manufacturing, Research Services, Manufacturing
• Application Deadline: 2 August 2024

Job Description

At Dow, we believe in putting people first and were passionate about delivering integrity, respect and safety to our customers, our employees and the planet.

Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. Were a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If youre looking for a challenge and meaningful role, youre in the right place.

About you and this role - What you would do in this role

Dow has exciting opportunities for Intern Graduate PhD Scientists who are interested in a career in Research and Development. Opportunities exist across the R&D function and are aligned with various organizations and business units in a variety of locations including Texas, Michigan, Pennsylvania and other locations in North America.

We are seeking candidates who have expertise in one or more of the following areas: chemical engineering, materials science, chemistry, polymer science, theoretical modeling, mechanical engineering, data science as well as other dimensions of chemical or materials sciences. You will work with project teams to solve chemical- and material-related problems through both fundamental and applied research. The types of projects span from product research to process research to application development. Examples include new molecule or material synthesis, process scale-up, reaction engineering and study and application of structure-property relationships to new product development. The specific opportunities including project type, geography and timing are variable.

To stay connected with Dow, join our Talent Community for email alerts of new job opportunities that match your interest and events taking place in your area.

Qualifications Required education, experience, knowledge, skills, and abilities that are needed for this role (must haves).

• Currently enrolled in a PhD program in Chemistry, Chemical Engineering, Mechanical Engineering, Materials Science, Polymer Science, Data Science, or other related disciplines.
• A minimum GPA of 2.700 (on a scale of 4.000) is preferred.
• Reliable attendance is an expectation of every Dow employee, therefore reliable transportation is required.

Additional notes

• Some Dow facilities are positioned near navigable waterways and are deemed TWIC facilities as per the Maritime Transportation Security Act. Please review this FAQ on TWIC credentialing and acceptable documentation. If placed at a location that is deemed a TWIC facility, you must be willing and able to adhere to the TWIC credentialing requirements.

Dow (NYSE: DOW) is one of the worlds leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 31 countries and employ approximately 35,900 people. Dow delivered sales of approximately $45 billion in 2023. References to Dow or the Company mean Dow Inc. and its subsidiaries. Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting www.dow.com.

As part of our dedication to the diversity of our workforce, Dow is committed to equal opportunities in employment. We encourage every employee to bring their whole self to work each day to not only deliver more value, but also have a more fulfilling career. Further information regarding Dow's equal opportunities is available on www.dow.com.

Dow is an Equal Employment Opportunity employer and is committed to providing opportunities without regard for race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability and genetic information, including family medical history. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may call us at 1-833-My Dow HR (833-693-6947) and select option 8.

Top Searches

• Intern Jobs near me
• PhD Scientist Jobs near me
• Research Scientist Jobs
• Data Science Jobs near me

Job seekers searching for THE DOW CHEMICAL COMPANY

• Dow Chemical Jobs
• Manufacturing Industry Jobs
• Dow jobs near me
• Materials Science Jobs near me
• Dow Chemical Careers
• Dow Careers
• Chemical Industry Jobs

Other job titles you may consider

• R&D Jobs near me
• PhD Internship Jobs near me
• Laboratory Scientist Jobs near me
• Applied Science Jobs
• Graduate Internships Jobs near me
• Research & Development Scientist Jobs
• Lab Research Jobs
• Research Jobs near me
• Material Science Research Jobs

Trending Searches in Frankenmuth, MI

• Frankenmuth Michigan Jobs
• Jobs hiring near Frankenmuth
• Frankenmuth Michigan Careers
• Job openings in Frankenmuth

Jobs currently in Demand

• Analytical Chemist Jobs near me
• Applied Materials Internship Jobs
• Applied Researcher Jobs near me
• Internship Program Jobs near me
• Engineer Jobs near me
• Chemical Engineering Jobs near me
• Polymer Scientist Jobs
• PhD Chemistry Jobs near me