best phd program in data science

Advertise with Us

Cryptocurrencies

Top 10 Universities in USA Offering Ph.D In Data Science

In 2011, McKinsey Global Institute called Big Data as the Next Frontier. From then to now, data science has evolved to form an integral part of digital transformation and technological innovation for the next futuristic world. This implies that not only is the demand for data scientists is growing everyday but also they receive lucrative salaries due to high market demand. Every industry from the fields of business, finance, government, healthcare, social networking, and technology, are looking for minds with a data science degree and complementary skills. Further, earning a Post-Doctoral degree in this field is beneficial because it can give students the research skills needed to make an impact in their field of choice. Depending on the university attended, a student might have to take classes such as machine learning and computational statistics, big data, probability and statistics for data science, and inference and representation along with major in data science.

Below is a list of top 10 of universities in the USA that have some excellent data science programs and courses .

Brown University – Providence, Rhode Island

Course: PhD in Computer Science – Concentration in Data Science

Brown University's database group is a world leader in systems-oriented database research; they seek PhD candidates with strong system-building skills who are interested in researching TupleWare, MLbase, MDCC, Crowd DB, or PIQL. To gain entrance, applicants should consider first doing a research internship at Brown with this group. Other ways to boost an application are to take and do well at massive open online courses, do an internship at a large company, and get involved in a large open-source software project. Coding well in C++ is preferred. All students must also train as teaching assistants for at least one semester.

2019-2020 Tuition: $66,702 per year

Length: 6 Credit Hours

Indiana University-Purdue University Indianapolis – Indianapolis, Indiana

Course: PhD in Data Science PhD Minor in Applied Data Science

Doctoral candidates pursuing the PhD in data science at Indiana University-Purdue must display competency in research, data analytics, and at management and infrastructure to earn the degree. The PhD is comprised of 24 credits of a data science core, 18 credits of methods courses, 18 credits of a specialization, written and oral qualifying exams, and 30 credits of dissertation research. All requirements must be completed within seven years. Applicants are generally expected to have a master's in social science, health, data science, or computer science. Currently, a majority of the PhD students at IUPUI are funded by faculty grants and two are funded by the federal government. All students receive scholarships. IUPUI also offers a PhD Minor in Applied Data Science that is 12-18 credits. The minor is open to students enrolled at IUPUI or IU Bloomington in a doctoral program other than Data Science.

2019-2020 Tuition: $368 per credit (Indiana Resident), $1,006 per credit (Non-resident)

Length: 60 credits

New York University – New York, New York

Course: PhD in Data Science

Doctoral candidates in data science at New York University must complete 72 credit hours, pass a comprehensive and qualifying exam, and defend a dissertation with ten years of entering the program. Required courses include an introduction to data science, probability and statistics for data science, machine learning and computational statistics, big data, and inference and representation.

2019-2020 Tuition: $1,856 per unit

Length: 72 Credits

Yale University – New Haven, Connecticut

Course: PhD Program – Department of Stats and Data Science

The PhD in statistics and data science at Yale University offers broad training in the areas of statistical theory, probability theory, stochastic processes, asymptotics, information theory, machine learning, data analysis, statistical computing, and graphical methods. Students need to complete 12 courses in the first year on these topics. Students are required to teach one course each semester of their third and fourth years. Most students complete and defend their dissertations in their fifth year.

2019-2020 Tuition: $43,300 per year

The University Of Maryland, College Park, Maryland

Course: PhD in Information Studies – Concentration in Big Data/Data Science

PhD students can take part in research in a variety of areas, including big data, data science, and informatics. The program is designed for students who want a research-oriented career, and faculty members mentor students in a variety of disciplines. The program does not list any specific prerequisites for the doctoral program, and the interdisciplinary program accepts students with varied academic backgrounds. Students can go for either Full-time or part-time program.

2019-2020 Tuition: $731 per credit (Maryland Resident), $1,625 per credit (Non-resident)

Length: 27 Credit Hours

Kennesaw State University – Kennesaw, Georgia

Course: PhD in Analytics and Data Science

Students pursuing a PhD in analytics and data science at Kennesaw State University must complete 78 credit hours: 48-course hours and six electives (spread over four years of study), a minimum 12 credit hours for dissertation research, and a minimum 12 credit-hour internship. Before dissertation research, a comprehensive examination will cover material from the three areas of study: computer science, mathematics, and statistics. Successful applicants will have a master's degree in a computational field, calculus I and II, programming experience, modeling experience, and are encouraged to have a base SAS certification.

2019-2020 Tuition: $1,066 per credit

Length: 4 years

University of Massachusetts Boston – Boston, Massachusetts

Course: PhD in Business Administration – Information Systems for Data Science Track

The University of Massachusetts – Boston offers a PhD in information systems for data science. As this is a business degree, students must complete coursework in their first two years with a focus on data for business; for example, taking courses such as business in context: markets, technologies, and societies. Students must take and pass qualifying exams at the end of year 1, comprehensive exams at the end of year 2, and defend their theses at the end of year 4. Those with a degree in statistics, economics, math, computer science, management sciences, information systems, and other related fields are especially encouraged, though a quantitative degree is not necessary. Students accepted by the program are ordinarily offered full tuition credits and a stipend ($25,000 per year) to cover educational expenses and help defray living costs for up to three years of study. During the first two years of coursework, they are assigned to a faculty member as a research assistant; for the third year, students will be engaged in instructional activities. Funding for the fourth year is merit-based from a limited pool of program funds.

2019-2020 Tuition: $768 per credit (Massachusetts Resident), $1,499 per credit (Non-resident)

California Institute of Technology, Pasadena, California

Course: PhD in Computing and Mathematical Science focusing on Data Sciences

Caltech has a PhD in Computing and Mathematical Sciences that is multidisciplinary and brings together faculty and students from fields including computer science, electrical engineering, applied math, operations research, economics, and the physical sciences. In their first year, all students take courses in math and computing fundamentals, and each student must take three courses in a focus area and meet breadth requirements. All candidates must complete a dissertation.

Tuition: $54,537 per year

Length: 3 Years

University At Buffalo, Buffalo, New York

Course: PhD in Computational and Data-Enabled Science and Engineering

The curriculum for the University of Buffalo's PhD in computational and data-enabled science and engineering centers around three areas: data science, applied mathematics and numerical methods, and high performance and data-intensive computing. Nine credit course of courses must be completed in each of these three areas. Altogether, the program consists of 72 credit hours and should be completed in 4-5 years. A master's degree is required for admission; courses taken during the master's may be able to count toward some of the core coursework requirements.

Tuition: $5,655 per semester (New York Resident), $11,550 per semester (Non-resident)

Length: 72 Credits

Clemson University / Medical University of South Carolina (MUSC) – Joint Program– Clemson, South Carolina & Charleston, South Carolina

Course: Doctor of Philosophy in Biomedical Data Science and Informatics – Clemson

Students can choose one of three tracks to pursue: precision medicine, population health, and clinical and translational informatics. Students can take courses in each of 5 areas: biomedical informatics foundations and applications; computing/math/statistics/engineering; population health, health systems, and policy; biomedical/medical domain; and lab rotations, seminars, and doctoral research. Applicants must have a bachelor's in health science, computing, mathematics, statistics, engineering, or a related field, and it is recommended to also have competency in a second of these areas. Program requirements include a year of calculus and college biology, as well as experience in computer programming.

2019-2020 Tuition: $668 per credit (South Carolina Resident), $995 per credit (Non-resident)

Length: 65-68 credit hours

Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

_____________

Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.

PhD in Data Science: Program Overview

The field of data science has emerged from advances in computational speed, data availability, and novel analysis methods. It demands a new type of researcher: the rigorously trained, cross-disciplinary, and ethically responsible data scientist.

Launched in Fall 2017, the pioneering CDS PhD Data Science program seeks to produce such researchers. It has gained recognition as one of the top and most selective data science doctoral programs globally, earning an NSF NRT training grant.

CDS PhD students are also being recognized for their outstanding contributions to the field of data science through fellowships and awards that range from industry-sponsored programs like Microsoft Research, Google, and Apple to academic honors such as the National Science Foundation Graduate Research Fellowship.

The CDS PhD program rigorously trains future data scientists to:

Develop methodologies and use statistical tools to answer cross-disciplinary questions
Clearly communicate to extract precise questions from big, heterogeneous, uncertain data
Translate research insights into practical applications across sciences, medicine, industry, and government
Understand the ethical implications of their work

Our mission is to nurture this new generation of data scientists in an environment where methodological innovations are developed and successfully applied to various domains. We believe that combining fundamental research on the principles of data science with translational projects involving domain experts creates a virtuous cycle, advancing both data science methodology and real-world applications.

The program has an innovative core curriculum, a novel data assistantship mechanism that provides training of skills transfer through rotations and internships, and communication and entrepreneurship modules. Students are exposed to a wider range of fields than in traditional PhD programs while working with our interdisciplinary faculty. We also offer a medical school track for those interested in healthcare applications or developing novel theoretical models from medical questions.

Successful candidates are guaranteed financial support, including tuition and a competitive stipend, for up to five years in the fall and spring semesters.*

We invite you to learn more through our webpage or by contacting [email protected] . *Students also have the opportunity to pursue their study and research with Data Science faculty at NYU Shanghai . With this opportunity, students generally complete their coursework in New York City before moving full-time to Shanghai for their research. For more information, please visit the NYU Shanghai Ph.D. page .