The Mathematical and Computational Finance Program at Stanford University (“MCF”) is one of the oldest and most established programs of its kind in the world. Starting out in the late 1990’s as an interdisciplinary financial mathematics research group, at a time when “quants” started having a greater impact on finance in particular, the program formally admitted masters students starting in 1999. The current MCF program was relaunched under the auspices of the Institute for Computational and Mathematical Engineering in the Stanford School of Engineering in 2014 to better align with changes in industry and to broaden into areas of financial technology in particular. We are excited to remain at the cutting edge of innovation in finance while carrying on our long tradition of excellence.
The MCF Program is designed to have smaller cohorts of exceptional students with diverse interests and viewpoints, and prepare them for impactful roles in finance. We are characterized by our cutting edge curriculum marrying traditional financial mathematics and core fundamentals, with an innovative technical spirit unique to Stanford with preparation in software engineering, data science and machine learning as well as the hands-on practical coursework which is the hallmark skill-set for leaders in present day finance.
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DPhil (PhD) studies in Mathematical Finance @ Oxford
The Mathematical and Computational Finance Group (MCFG) at Oxford is one of the largest and most dynamic research environments in mathematical finance in the world.
We combine core mathematical expertise with interdisciplinary approach. We foster lively interactions between researchers coming from different backgrounds and a truly impressive seminar programme, all this within one of the world's top universities, singular through its tradition and unique environment.
If you are passionate about mathematics and research and want to pursue a DPhil in Financial Mathematics, Oxford simply offers one of the best and most exciting places to do it!
Research Topic and Supervisor Allocation
We welcome students with their own particular ideas of research topic as well as students with a broad interest in the field of Mathematical Finance. You have an opportunity to tell us about your research passions, and indicate potential supervisors, in your application form. This will be followed up during the interview.
In light of this, if you are offered a place, an appropriate supervisor will be proposed prior to your arrival in Oxford. However, there can be some flexibility over this once you arrive. Keeping with the Oxford tradition, we offer our students independence and respect as early researchers, and always aim to match students with the most appropriate supervisors.
Outstanding students with a strong background in analysis, probability and data science are welcome to apply for our DPhil program. Each year we receive a large number of excellent applications. The selection process is extremely competitive and we can only admit a handful of candidates each year.
In order to apply for DPhil studies in Mathematical & Computational Finance, please indicate your interest in Mathematical and Computational Finance on your application form. Selected applicants will be invited for an interview -- either in person or by video call.
For general information on DPhil please consult our Doctor of Philosophy (DPhil) admissions pages .
For the CDT Mathematics of Random Systems please consult our the CDT website .
Or please contact @email .
Funding for DPhil students is available from a variety of sources. Please note that some funding opportunities have deadlines: it is advised to apply before the deadline in order to maximise your chances of receiving funding.
Funding is also available through the Centre for Doctoral Training in Mathematics of Random Systems . To apply for this program please How to Apply .
Email: @email Phone: +44 (0)1865 615234
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DPhil Graduates
Department of Mathematics
Financial mathematics.
A pioneer in its field, the Financial Mathematics Program offers 15 months of accelerated, integrated coursework that explores the deep-rooted relationship that exists between theoretical and applied mathematics and the ever-evolving world of finance. Their mission is to equip students with a solid foundation in mathematics, and in doing so provide them with practical knowledge that they can successfully apply to complicated financial models. Financial Mathematics students become leaders in their field; program alumni have gone forth to find success at companies like JP Morgan, UBS, and Goldman Sachs. Read more
Why Study for a Mathematical Finance PhD?
I was emailed by a reader recently asking about mathematical finance PhD programs and the benefits of such a course. If you are considering gaining a PhD in mathematical finance, this article will be of interest to you.
If you are currently near the end of your undergraduate studies or are returning to study after some time in industry, you might consider starting a PhD in mathematical finance. This is an alternative to undertaking a Masters in Financial Engineering (MFE), which is another route into a quantitative role. This article will discuss exactly what you will be studying and what you are likely to get out of a PhD program. Clearly there will be differences between studying in the US, UK or elsewhere. I personally went to grad school in the UK, but I will discuss both UK and US programs.
Mathematical finance PhD programs exist because the techniques within the derivatives pricing industry are becoming more mathematical and rigourous with each passing year. In order to develop new exotic derivatives instruments, as well as price and hedge them, the financial industry has turned to academia. This has lead to the formation of mathematical finance research groups - academics who specialise in derivatives pricing models, risk analysis and quantitative trading.
Graduate school, for those unfamiliar with it, is a very different experience to undergraduate. The idea of grad school is to teach you how to effectively research a concept without any guidance and use that research as a basis for developing your own models. Grad school really consists of a transition from the "spoon fed" undergraduate lecture system to independent study and presentation of material. The taught component of grad school is smaller and the thesis component is far larger. In the US, it is not uncommon to have two years of taught courses before embarking on a thesis (and thus finding a supervisor). In the UK, a PhD program is generally 3-4 years long with either a year of taught courses, or none, and then 3 years of research.
A good mathematical finance PhD program will make extensive use of your undergraduate knowledge and put you through graduate level courses on stochastic analysis, statistical theory and financial engineering. It will also allow you to take courses on general finance, particularly on corporate finance and derivative securities. When you finish the program you will have gained a broad knowledge in most areas of mathematical finance, while specialising in one particular area for your thesis. This "broad and deep" level of knowledge is the hallmark of a good PhD program.
Mathematical Finance research groups study a wide variety of topics. Some of the more common areas include:
- Derivative Securities Pricing/Hedging: The technical term for this is "financial engineering", as "quantitative analysis" now encompasses a wide variety of financial areas. Some of the latest research topics include sophisticated models of options including stochastic volatility models, jump-diffusion models, asymptotic methods as well as investment strategies.
- Stochastic Calculus/Analysis: This is more of a theoretical area, where the basic motivation stems from the need to solve stochastic differential equations. Research groups may look at path-dependent PDEs, functional Ito calculus, measure theory and probability theory.
- Fixed Income Modeling: Research in this area centres on effectively modelling interest rates - such as multi-factor models, multi-curve term structure models as well as interest rate derivatives such as swaptions.
- Numerical Methods: Although not always strictly related to mathematical finance, there is a vast amount of university research carried out to try and develop more effective means of solving equations numerically (i.e. on the computer!). Recent developments include GPU-based Monte Carlo solvers, more efficient matrix solvers as well as Finite Differences on GPUs. These groups will almost certainly possess substantial programming expertise.
- Market Microstructure/High-Frequency Modeling: This type of research is extremely applied and highly valued by funds engaged in this activity. You will find many academics consulting, if not contracting, for specialised hedge funds. Research areas include creating limit order market models, high frequency data statistical modelling, market stability analysis and volatility analysis.
- Credit Risk: Credit risk was a huge concern in the 2007-2008 financial crisis and many research groups are engaged in determining such "counterparty risks". Credit derivatives are still a huge business and so a lot of research goes into collateralisation of securities as well as pricing of exotic credit derivatives.
These are only a fraction of the total areas that are studied within mathematical finance. The best place to find out more about research topics is to visit the websites of all the universities which have a mathematical finance research group, which is typically found within the mathematics, statistics or economics faculty.
The benefits of undertaking a PhD program are numerous:
- Employment Prospects: A PhD program sets you apart from candidates who only possess an undergraduate or Masters level ability. By successfully defending a thesis, you have shown independence in your research ability, a skill highly valued by numerate employers. Many funds (and to a lesser extent, banks) will only hire PhD level candidates for their mathematical finance positions, so in a pragmatic sense it is often a necessary "rubber stamp". In investment banks, this is not the case so much anymore, as programming ability is generally prized more. However, in funds, it is still often a requirement. Upon being hired you will likely be at "associate" level rather than "analyst" level, which is common of undergraduates. Your starting salary will reflect this too.
- Knowledge: You will spend a large amount of time becoming familiar with many aspects of mathematical finance and derivatives theory. This will give you a holistic view into the industry and a more transferable skill set than an undergraduate degree as you progress up the career ladder. In addition, you will have a great deal of time to learn how to program models effectively (without the day-to-day pressure to get something implemented any way possible!), so by the time you're employed, you will be "ahead of the game" and will know best practices. This aspect is down to you, however!
- Intellectual Prospects: You are far more likely to gain a position at a fund after completing a PhD than without one. Funds are often better environments to work in. There is usually less stress and a more relaxed "collegiate" environment. Compare this to working on a noisy trading floor, where research might be harder to carry out and be perceived as less important.
I would highly recommend a mathematical finance PhD, so long as you are extremely sure that a career in quantitative finance is for you. If you are still unsure of your potential career options, then a more general mathematics, physics or engineering PhD might be a better choice.
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Finance Department | PhD Program
Phd program.
Our faculty, ranked #1 worldwide based on publications in top finance journals (ASU Finance Rankings), consists of more than 30 researchers who study all major areas of finance, making it one of the largest finance faculty in the country. Stern’s finance faculty is highly rated in terms of research output, and faculty members sit on the editorial boards of all major finance journals.
The finance department offers an exceptionally large range of courses devoted exclusively to PhD students. Apart from core PhD courses in asset pricing and corporate finance, students can choose from a range of electives such as household finance, macro-finance, and financial intermediation. PhD students also enjoy the benefits of Stern’s economics department, NYU’s economics department in the Graduate School of Arts and Science (GSAS), and the Courant Institute of Mathematics.
Graduates of Stern’s Finance PhD program have been placed at leading research institutions such as Harvard, MIT, Chicago, Stanford, Wharton, Yale, and UCLA.
Holger Mueller , Finance PhD coordinator
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Mathematics (PHD) – Financial Mathematics Track
Program at a glance.
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Learn more about the cost to attend UCF.
The Financial Mathematics track in the Mathematics PhD program is designed to prepare students for research and leadership positions in industry, government, non-governmental organizations, and academia requiring employment of financial mathematics.
The Mathematics PhD program consists of at least 75 credit hours of course work beyond the bachelor's degree, of which a minimum of 48 hours of formal course work, exclusive of independent study, are required. The program requires 36 credit hours of core courses and 15 credit hours of dissertation research (7980).
Total Credit Hours Required: 75 Credit Hours Minimum beyond the Bachelor's Degree
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Track Prerequisites
Bachelor's degree in related field.
Students entering the graduate program with regular status are assumed to have a working knowledge of undergraduate calculus, differential equations, linear algebra (or matrix theory), boundary value problems, statistics, computer programming, and maturity in the language of advanced calculus (at the level of MAA 4226).
Degree Requirements
Required courses.
- All students are required to complete the following courses with grade of "B" or better.
- MAA5237 - Mathematical Analysis (3)
- MAS5145 - Advanced Linear Algebra and Matrix Theory (3)
- MAP5641 - Financial Mathematics I (3)
- MAP6642 - Financial Mathematics II (3)
- MAP5612 - Computational Methods for Financial Mathematics I (3)
- MAP6616 - Computational Methods for Financial Mathematics II (3)
- MAP6646 - Risk Management for Financial Mathematics (3)
- MAP5606 - Differential Equations for Financial Mathematics (3)
- MAP6195 - Mathematical Foundations for Massive Data Modeling and Analysis (3)
- MAP6207 - Optimization Theory (3)
- STA6857 - Applied Time Series Analysis (3)
- MAP5931 - Proseminar for Financial Mathematics (1)
- MAP5933 - Seminar in Financial Mathematics (2)
- The remaining credit hours consist of additional dissertation research (7980 or 7919), at least 15 credit hours of regular classroom elective courses, and at most 12 credit hours of independent study or independent directed research. Students who pass the qualifying examination may substitute some of the core courses with the approval of the adviser and the graduate program director.
Elective Courses
- Earn at least 24 credits from the following types of courses: Elective courses require the approval of the adviser and the graduate program director; up to 12 credit hours of elective courses may be taken outside the department. At least one-half of the program courses must be taken at the 6000 level. At least 12 hours of elective course work must be formal course work, exclusive of independent study. Electives are chosen in consultation with the student's advisory committee and may be chosen from the suggested options: Discrete Mathematics, General Applied Mathematics, Mathematical Computer Tomography, Image Processing and Computer Graphics, Mathematical Finance, Mathematical Physics, Pure Mathematics, Data Science, and Mathematical Statistics. A list of elective course options can be obtained from the graduate program director. Courses that are taken outside the Mathematics department must be approved by both the adviser and graduate program director. These courses are selected in consultation with the student's advisory committee.
Dissertation
- Earn at least 15 credits from the following types of courses: MAP 7980 - Dissertation Research 15 Credit Hours (minimum) After passing the candidacy examination and meeting the other requirements that are required for admission to candidacy, the student can register for Doctoral Dissertation (MAP 7980). A minimum of 15 Doctoral Dissertation credit hours are required for the degree.
Examinations
Qualifying examination.
- The qualifying/comprehensive examination is based on the core course work. To continue in the PhD program, students must pass the examination at the PhD level. Two attempts are permitted. The examination will be administered twice a year: one in the Fall semester and the other in the Spring semester. To take the examination, students must have earned a "B" or better in each core course, must have a minimum grade point average of 3.0 (out of 4.0) in the program, or must obtain permission from the graduate program director. Students will normally take the examination after the first year and are expected to have passed it by the end of the second year of study, unless a written request for a postponement has been approved by the Graduate Committee at least two months before the examination date. The student must pass the Qualifying Examination in at most two attempts. It is strongly recommended that the student select a dissertation adviser by the completion of 18 credit hours of course work, and it is strongly recommended that the student works with the dissertation adviser to form a dissertation committee within two semesters of passing the Qualifying Examination.
Candidacy Examination
- The Candidacy Examination consists of a written examination based on the materials from two selected two-semester sequence courses taken by the students. A committee formed or selected by the Graduate Committee or the graduate program director is responsible for preparing and grading the written examinations. Each sequence that is selected for the candidacy examination must be approved by the dissertation adviser, the dissertation committee, and the graduate program director. Students in the Financial Mathematics Track will ordinarily select one of the sequences for their candidacy examination to be MAP 5641/MAP6642 Financial Mathematics I and II, and MAP5612/MAP6616 Computational Methods for Financial Mathematics I and II. The Candidacy Examination can be attempted after passing the qualifying examination. The Candidacy Examination must be completed within three years after passing the qualifying examination. A student must successfully pass the Candidacy Examination within at most two attempts.
Admission to Candidacy
- The following are required to be admitted to candidacy and enroll in dissertation hours: Completion of all course work, except for dissertation hours. Successful completion of the candidacy examination. The dissertation advisory committee is formed, consisting of approved graduate faculty and graduate faculty scholars. Submittal of an approved program of study.
Dissertation Proposal Examination
- After passing the candidacy examination, the student will prepare a dissertation proposal and orally present it to the dissertation advisory committee for approval. The proposal will include a description of the research performed to date and an agenda for the research planned to be completed for the dissertation. In addition to standards of correctness, indicating a suitable level of mastery of the material of the area of the dissertation, and suitability of the proposed dissertation topic, the presentation must meet current standards for professional presentations within the discipline of mathematics. For the successful completion of the Dissertation Proposal Examination, the presentation must be judged as passing the requirements for the examination by the majority of the dissertation committee. This exam must be passed within 18 months of passing the candidacy examination and not later than the end of the sixth year of graduate study. A candidate must pass this examination within at most two attempts.
Dissertation Defense
- Upon completion of a student's research, the student's committee schedules an oral defense of the dissertation. Most students complete the program within five years after obtaining their bachelor's degree. Students are expected to complete the dissertation in no more than seven years from the date of admission to the program.
Independent Learning
- The required 15 credit hours of dissertation will provide ample opportunities for students to gain the independent learning experience through studying published research papers and deriving, on their own, new and meaningful research results.
Grand Total Credits: 75
Application requirements, financial information.
Graduate students may receive financial assistance through fellowships, assistantships, tuition support, or loans. For more information, see the College of Graduate Studies Funding website, which describes the types of financial assistance available at UCF and provides general guidance in planning your graduate finances. The Financial Information section of the Graduate Catalog is another key resource.
Fellowship Information
Fellowships are awarded based on academic merit to highly qualified students. They are paid to students through the Office of Student Financial Assistance, based on instructions provided by the College of Graduate Studies. Fellowships are given to support a student's graduate study and do not have a work obligation. For more information, see UCF Graduate Fellowships, which includes descriptions of university fellowships and what you should do to be considered for a fellowship.
The department offers over 20 Graduate Teaching Assistantships every year on a competitive basis. A few Graduate Research Assistantships are also available for qualified students.
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Finance RequirementsI. preparation. The study of financial economics requires a grasp of several types of basic mathematics. Students must enter with or very quickly acquire knowledge of the concepts and techniques of:
It is strongly advised that students without a strong and recent background in calculus, linear algebra, or statistics come to Stanford in June to take courses to strengthen any weak areas. Computer programming skills are necessary in coursework (as early as the first quarter of the first year) and in research. If students do not have adequate computer programming skills, they may wish to take a computer programming course before they arrive at Stanford, or take an appropriate Stanford computer science course while here. II. Course RequirementsAll required courses must be taken for a grade (not pass/fail or credit/no credit). Exceptions are made if the required course is offered pass/fail or credit/no credit only. Each course must be passed with a grade of P or B- or better. Substitutions of required courses require approval from the faculty liaison. Waiving a course requirement based on similar doctoral level course completed elsewhere requires the approval of the course instructor, faculty liaison, and the PhD Program Office.
III. PracticumStudents are required to sign up for either a research or teaching practicum each quarter of enrollment. Below is a description of the practicum requirements for Finance students. During the student’s first year, the student will be assigned each quarter to work with a different faculty member. This assignment will involve mentoring and advising from the faculty member and RA work from the student. The purpose of new assignments each quarter is to give the student exposure to a number of different faculty members. In subsequent years, the practicum will take the form of a research or teaching mentorship, where the student is expected to provide research or teaching support under the guidance and advice of a faculty member. Faculty assignments here will be made through informal discussions between faculty and students, and may be quarterly, or for the entire year. For students of all years, one requirement to satisfy the practicum is that students regularly attend the Finance seminar. The only exception to this will be if there is a direct and unavoidable conflict between the seminar and necessary coursework. IV. Summer Research PapersAll students in all years are expected to complete a research paper over the summer, and present this paper in the Fall quarter. A draft of this research paper should be submitted by the end of September to the field liaison. Students can continue to work on and improve their paper up to their presentation. For students completing their first year, the summer paper should demonstrate the mastery of a specific area in the literature together with the early development of a research idea in this area. The student will be expected to present this paper to a gathering of three Finance faculty members of the student’s choosing in October. In all years after the first year, the summer research paper should be a well-developed research paper. (Well-developed does not mean completed – research is always presented as work in progress. Rather, it means that the work shows enough progress and development to merit a seminar presentation.) Students will then present their papers to the overall Finance faculty and PhD student body in scheduled talks over the Fall quarter. Student presentations will typically be 45 minutes, save for job market paper presentations, which will be a full hour and a half. A passing grade on the paper at the end of the second year is one requirement for admission to candidacy. More generally, these presentations throughout all years will be a primary manner that faculty who are not advising the student become familiar with the student’s work, and will play a crucial role in the assessment of the student’s academic progress. V. Field ExamStudents take the field exam in the summer after the first year. Material from the field exam will be based on required first year coursework. This includes required finance courses, as well as the required microeconomic and econometric classes. The primary purpose of the exam is to ascertain that students have learned the introductory material that is a necessary foundation for understanding and undertaking research in the field. Additionally, studying for the field exam will give students the opportunity to review and synthesize material across all their different first year courses. Students may be asked to leave the program if they fail the field exam, or may be allowed to retake the exam at the Faculty’s discretion. Students who fail the field exam two times will be required to leave the program. VI. Teaching RequirementOne quarter of course assistantship or teaching practicum. This requirement must be completed prior to graduation. VII. Finance Oral ExamThe finance oral exam takes place at the end of the spring quarter of the second year, in early June. At the beginning of the spring quarter of the second year, the student meets with the liaison to determine three finance faculty members who will administer the exam. The student then meets with the selected faculty examiners to discuss a set of topics that will be covered in the finance oral exam. These topics will generally be chosen from coverage in the Finance PhD classes. An important component of the exam involves the student identifying a particular research area to discuss at the exam. The student will be expected to discuss major results in the literature related to this area and to identify important unresolved questions that need to be addressed. In addition the student will be expected to discuss how one or more of these questions might be addressed either theoretically or empirically. This discussion can be viewed as a preliminary step towards identifying the research project of the second year paper. The results from the finance oral exam plus the result from the second-year summer research paper (presented in the fall of 3rd year) and overall performance in the program are weighed in the decision to admit to candidacy. VIII. CandidacyAdmission to candidacy for the doctoral degree is a judgment by the faculty of the student’s potential to successfully complete the requirements of the degree program. Students are required to advance to candidacy by September 1 before the start of their fourth year in the program. IX. University Oral ExamThe university oral examination is a defense of the dissertation work in progress. The student orally presents and defends the thesis work in progress at a stage when it is one-half to two-thirds complete. The oral examination committee tests the student on the theory and methodology underlying the research, the areas of application and portions of the major field to which the research is relevant, and the significance of the dissertation research. Students are required to successfully complete the oral exams by September 1 before the start of their fifth year in the program. X. Doctoral DissertationThe doctoral dissertation is expected to be an original contribution to scholarship or scientific knowledge, to exemplify the highest standards of the discipline, and to be of lasting value to the intellectual community. The Finance faculty defer to the student’s Dissertation Reading Committee to provide general guidelines (e.g., number of chapters, length of dissertation) on the dissertation. Typical TimelineYears one & two.
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Showing results 1 through 25 of 68 Smart. Open. Grounded. Inventive. Read our Ideas Made to Matter. Which program is right for you? Through intellectual rigor and experiential learning, this full-time, two-year MBA program develops leaders who make a difference in the world. A rigorous, hands-on program that prepares adaptive problem solvers for premier finance careers. A 12-month program focused on applying the tools of modern data science, optimization and machine learning to solve real-world business problems. Earn your MBA and SM in engineering with this transformative two-year program. Combine an international MBA with a deep dive into management science. A special opportunity for partner and affiliate schools only. A doctoral program that produces outstanding scholars who are leading in their fields of research. Bring a business perspective to your technical and quantitative expertise with a bachelor’s degree in management, business analytics, or finance. A joint program for mid-career professionals that integrates engineering and systems thinking. Earn your master’s degree in engineering and management. An interdisciplinary program that combines engineering, management, and design, leading to a master’s degree in engineering and management. Executive ProgramsA full-time MBA program for mid-career leaders eager to dedicate one year of discovery for a lifetime of impact. This 20-month MBA program equips experienced executives to enhance their impact on their organizations and the world. Non-degree programs for senior executives and high-potential managers. A non-degree, customizable program for mid-career professionals. PhD Program in Finance2023-24 curriculum outline. The MIT Sloan Finance Group offers a doctoral program specialization in Finance for students interested in research careers in academic finance. The requirements of the program may be loosely divided into five categories: coursework, the Finance Seminar, the general examination, the research paper, and the dissertation. Attendance at the weekly Finance Seminar is mandatory in the second year and beyond and is encouraged in the first year. During the first two years, students are engaged primarily in coursework, taking both required and elective courses in preparation for their general examination at the end of the second year. Students are required to complete a research paper by the end of their fifth semester, present it in front of the faculty committee and receive a passing grade. After that, students are required to find a formal thesis advisor and form a thesis committee by the end of their eighth semester. The Thesis Committee should consist of at least one tenured faculty from the MIT Sloan Finance Group. Required CoursesThe following set of required courses is designed to furnish each student with a sound and well-rounded understanding of the theoretical and empirical foundations of finance, as well as the tools necessary to make original contributions in each of these areas. Finance PhD courses (15.470, 15.471, 15.472, 15.473, 15.474) in which the student does not receive a grade of B or higher must be retaken. First Year - SummerMath Camp begins on the second Monday in August. First Year - Fall Semester14.121/14.122 Micro Theory I/II 14.451/14.452 Macro Theory I/II ( strongly recommended) 14.380/14.381 — Statistics/Applied Econometrics 15.470 — Asset Pricing First Year - Spring Semester14.123/14.124 Micro Theory III/IV 14.453/14.454 Macro Theory III/IV (strongly recommended) 14.382 – Econometrics 15.471 – Corporate Finance Second Year - Fall Semester15.472 — Advanced Asset Pricing 14.384 — Time-Series Analysis or 14.385 — Nonlinear Econometric Analysis (Enrolled students receive a one-semester waiver from attending the Finance Seminar due to a scheduling conflict) 15.475 — Current Research in Financial Economics Second Year - Spring Semester15.473 — Advanced Corporate Finance 15.474 — Current Topics in Finance (strongly encouraged to take multiple times) 15.475 — Current Research in Financial Economics Recommended Elective CoursesBeyond these required courses, students are expected to enroll in elective courses determined by their primary area of interest. There are two informal “tracks” in Financial Economics: Corporate Finance and Asset Pricing. Recommended electives are designed to deepen the student's grasp of material that will be central to the writing of his/her dissertation. Students also have the opportunity to take courses at Harvard University. There is no formal requirement to select one track or another, and students are free to take any of the electives.
PhD Profile for Mathematical FinanceImperial College London Imperial College LondonLatest news.  £150,000 study will explore links between breast cancer and breastfeeding  Bezos Centre for Sustainable Protein launches at Imperial with $30m funding  Public Engagement team celebrate six years of sector-leading Academy Mathematical Finance
 The Mathematical Finance Section of the Department of Mathematics at Imperial College London , is devoted to research on mathematical modeling and computational methods in finance. It is the largest research group in Mathematical Finance in the UK and is recognized as one of the world's leading research groups in this field. Maths Finance homepageResearch conducted in the Mathematical Finance section focuses on the quantitative modeling of financial markets and mathematical tools and theories - probability, statistics, partial differential equations, optimization, simulation - which underpin this modeling process. Recent research efforts have also focused on issues relevant to industry and regulatory issues such as counterparty credit risk, funding valuation, collateral modeling, central clearing of over-the-counter (OTC) derivatives, liquidity risk management, collateral transformation, the impact of new regulations on risk, multiple-curve term structure models and novel, holistic approaches to the modeling of financial risks and systemic risk. Our research is disseminated through the Imperial College Mathematical Finance Working Paper Series . Postgraduate OpportunitiesThe Mathematical Finance section offers PhD research opportunities , which trains highly skilled candidates towards research careers in academia and industry. PhD students are supported by public or private sources of funding and work on a wide range of topics in stochastic analysis, mathematical modeling of finance and computational finance. Some PhD projects are carried out in collaboration with industry sponsors. We are a founding partner of the London Graduate School in Mathematical Finance which provides an array of research-oriented courses for PhD students at participating institutions. The Mathematical Finance section also offers an MSc , designed to prepare graduates with a prior training in mathematics, science or engineering for careers as quantitative analysts in the financial services industry. Welcome to the Math PhD program at Harvard University and the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences. Learn more about Harvard’s Math community and our statement on diversity and inclusion. The Harvard Griffin GSAS Office of Equity, Diversity, Inclusion & Belonging offers student affinity groups for graduate students and many other resources. The Harvard University Office for Gender Equity has dedicated GSAS Title IX resource coordinators who work with and support graduate students. open. The application deadline is December 15, 2021. --> The application deadline for fall 2024 admission has passed. Applications for fall 2025 admission will open in September 2024. For information on admissions and financial support, please visit the Harvard Harvard Kenneth C. Griffin Graduate School of Arts and Sciences. Harvard Griffin GSAS is committed to ensuring that our application fee does not create a financial obstacle. Applicants can determine eligibility for a fee waiver by completing a series of questions in the Application Fee section of the application. Once these questions have been answered, the application system will provide an immediate response regarding fee waiver eligibility.  Alternatively, use our A–Z index Attend an open day Discover more about postgraduate research PhD Financial Mathematics / OverviewYear of entry: 2024
The standard academic entry requirement for this PhD is an upper second-class (2:1) honours degree in a discipline directly relevant to the PhD (or international equivalent) OR any upper-second class (2:1) honours degree and a Master’s degree at merit in a discipline directly relevant to the PhD (or international equivalent). Other combinations of qualifications and research or work experience may also be considered. Please contact the admissions team to check. Full entry requirements Apply online In your application you’ll need to include:
Programme options
Programme descriptionOpportunities for PhD research are available in a range of Financial Mathematics research topics or Mathemathics research areas . For more information, please see advice on choosing a project or find out more about specific projects . Please contact the relevant individual members of staff for information about a specific project, or get in touch with the Postgraduate Admissions Tutor . Students may enter our graduate programme in Mathematical Finance by initially taking our taught M.Sc. course over 1 year. This, subject to satisfactory progress, can lead to admission to the PhD programme. For entry in the academic year beginning September 2024, the tuition fees are as follows:
Further information for EU students can be found on our dedicated EU page. The programme fee will vary depending on the cost of running the project. Fees quoted are fully inclusive and, therefore, you will not be required to pay any additional bench fees or administration costs. All fees for entry will be subject to yearly review and incremental rises per annum are also likely over the duration of the course for Home students (fees are typically fixed for International students, for the course duration at the year of entry). For general fees information please visit the postgraduate fees page . Always contact the Admissions team if you are unsure which fees apply to your project. Scholarships/sponsorshipsThere are a range of scholarships, studentships and awards at university, faculty and department level to support both UK and overseas postgraduate researchers. To be considered for many of our scholarships, you’ll need to be nominated by your proposed supervisor. Therefore, we’d highly recommend you discuss potential sources of funding with your supervisor first, so they can advise on your suitability and make sure you meet nomination deadlines. For more information about our scholarships, visit our funding page or use our funding database to search for scholarships, studentships and awards you may be eligible for. Contact detailsOur internationally-renowned expertise across the School of Natural Sciences informs research led teaching with strong collaboration across disciplines, unlocking new and exciting fields and translating science into reality. Our multidisciplinary learning and research activities advance the boundaries of science for the wider benefit of society, inspiring students to promote positive change through educating future leaders in the true fundamentals of science. Find out more about Science and Engineering at Manchester . Programmes in related subject areasUse the links below to view lists of programmes in related subject areas.
Regulated by the Office for StudentsThe University of Manchester is regulated by the Office for Students (OfS). The OfS aims to help students succeed in Higher Education by ensuring they receive excellent information and guidance, get high quality education that prepares them for the future and by protecting their interests. More information can be found at the OfS website . You can find regulations and policies relating to student life at The University of Manchester, including our Degree Regulations and Complaints Procedure, on our regulations website . Stack Exchange NetworkStack Exchange network consists of 183 Q&A communities including Stack Overflow , the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. Q&A for work Connect and share knowledge within a single location that is structured and easy to search. PhD in Mathematical FinanceI applied to a PhD program in Applied Mathematics, but was accepted to the PhD program in Mathematical Finance instead. It seems that one professor found my background in control theory and signal processing attractive. The school I was accepted to is great, I'd be getting a decent amount of funding and my potential advisor seems to be a nice guy. However, I'm concerned about having the word "finance" in my degree. My fear is that it could pigeonhole me to academic positions in business schools after graduation (where most of the former students of my potential advisors have gone). My original goal was to become a professor in a math/engineering department or a researcher in a tech company after my PhD, and I doubt that a PhD in Mathematical Finance would help me to get that. Does anybody knows where do people with PhDs in Mathematical Finance end up going?
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Learn about the MCF Program at Stanford University, one of the oldest and most established programs of its kind in the world. The program offers a cutting edge curriculum in financial mathematics, software engineering, data science and machine learning for exceptional students.
Learn about the PhD program in Mathematical Finance at Boston University, a research-oriented degree for students with quantitative and analytical skills. Find out the curriculum, course requirements, qualifying exam, dissertation, and academic standards for the degree.
In order to apply for DPhil studies in Mathematical & Computational Finance, please indicate your interest in Mathematical and Computational Finance on your application form. Selected applicants will be invited for an interview -- either in person or by video call.
Learn how to apply mathematics to finance in 15 months of accelerated coursework. The program equips students with a solid foundation in mathematics and practical knowledge of financial models.
Learn why a PhD in mathematical finance can enhance your career prospects in quantitative finance. Explore the research areas, courses and requirements of PhD programs in the US and UK.
Learn about the finance PhD program at NYU Stern, one of the finest and most competitive programs in the world. Explore the courses, faculty, and placement opportunities in various areas of finance research.
A strong background in economics and college-level mathematics is desirable. It is particularly important to realize that a PhD in finance is not a higher-level MBA, but an advanced, academically oriented degree in financial economics, with a reflective and analytical, rather than operational, viewpoint.
Learn about the doctoral program in financial mathematics at UCF, a research-intensive university in Orlando, FL. The program prepares students for careers in industry, government, and academia using financial mathematics.
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Learn about the curriculum, requirements and expectations for the PhD in Mathematical Finance program at Boston University. This handbook covers coursework, qualifying exam, dissertation, teaching, residency, time limit and more.
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Financial Math students use tools like Probability, Statistics, Stochastic Processes, and Economic Theory to predict and plan for the dynamics of financial markets. Graduate careers include investment banking, hedge funds, consulting, brokerage houses, and more. more. Understand Financial Mathematics. 1-2 minutes.
Find out the best financial mathematics graduate programs in America based on reviews, rankings, and scholarships. Compare different schools, programs, and requirements for master's degrees in financial mathematics.
Learn about the curriculum, requirements and courses for the PhD program in finance at MIT Sloan. The program prepares students for research careers in academic finance and covers theoretical and empirical foundations of finance.
PhD Profile for Mathematical Finance. Back to PhD Program Profiles. More about Graduate Education Calendar. 26 Mar Identifying & Articulating Transferable Skills; 28 Mar Presentation Skills; 2 Apr From CV to Resume: Crafting Your Work History; Boston University. Boston University Graduate Education. One Silber Way, 8th Floor, Boston, MA 02215
Learn quantitative methods for finance in this MA program offered by the Department of Mathematics and Statistics. The program consists of ten courses, including probability, statistics, partial differential equations, and financial markets, and requires GRE or GMAT scores.
The Mathematical Finance section offers PhD research opportunities, which trains highly skilled candidates towards research careers in academia and industry. PhD students are supported by public or private sources of funding and work on a wide range of topics in stochastic analysis, mathematical modeling of finance and computational finance. ...
This document provides the curriculum, requirements, and policies for the PhD in Mathematical Finance program at Boston University. It covers topics such as coursework, qualifying exam, dissertation, teaching, and academic conduct.
Learn about the Math PhD program at Harvard University and the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences. Find out how to apply, get financial support, and join the Math community.
Learn quantitative finance with theoretical and practical courses from various departments. Earn a Data Science Certificate or a Certificate in Risk Management, or pursue a dual degree with PhD.
Students may enter our graduate programme in Mathematical Finance by initially taking our taught M.Sc. course over 1 year. This, subject to satisfactory progress, can lead to admission to the PhD programme. Open days. Visit ...
Tony Ware: Mathematical finance, computational finance, energy markets modelling, numerical methods Course load The course requirements for a PhD are determined on an individual basis and must include eight half courses in the student's combined master's and doctoral program in addition to MATH 600 seminar course which must be taken in the ...
1. I applied to a PhD program in Applied Mathematics, but was accepted to the PhD program in Mathematical Finance instead. It seems that one professor found my background in control theory and signal processing attractive. The school I was accepted to is great, I'd be getting a decent amount of funding and my potential advisor seems to be a ...