best mathematical finance phd

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

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.

Financial Mathematics Graduate Programs in America

1-25 of 68 results

MIT Sloan School of Management

Cambridge, MA •

Massachusetts Institute of Technology •

Graduate School

• • Rating 4.89 out of 5   9 reviews

Current Master's student: Rigorous and engaging. Great campus with exceptionally humble and kind humans. Good locations with easy access to suburbs. ... Read 9 reviews

Massachusetts Institute of Technology ,

Graduate School ,

CAMBRIDGE, MA ,

9 Niche users give it an average review of 4.9 stars.

Featured Review: Current Master's student says Rigorous and engaging. Great campus with exceptionally humble and kind humans. Good locations with easy access to suburbs. .

Read 9 reviews.

Princeton University

Princeton, NJ •

• • Rating 4.33 out of 5   3 reviews

Master's Student: The best part of the Princeton University mechanical engineering graduate degree is the excellent faculty that teach the courses. They are incredibly knowledgeable and also very willing to help students in office hours or in sponsorship of projects. The worst part of the Princeton University mechanical engineering graduate degree is the lack of structure for the graduate research program which can leave you feeling unsure on the direction of your research. ... Read 3 reviews

PRINCETON, NJ ,

3 Niche users give it an average review of 4.3 stars.

Featured Review: Master's Student says The best part of the Princeton University mechanical engineering graduate degree is the excellent faculty that teach the courses. They are incredibly knowledgeable and also very willing to help... .

Read 3 reviews.

Owen Graduate School of Management

Nashville, TN •

Vanderbilt University •

• • Rating 4.4 out of 5   5 reviews

Master's Student: I attend my first semester in the fall of 2024. My experience so far has been amazing. I cannot wait until I start my experience. ... Read 5 reviews

Vanderbilt University ,

NASHVILLE, TN ,

5 Niche users give it an average review of 4.4 stars.

Featured Review: Master's Student says I attend my first semester in the fall of 2024. My experience so far has been amazing. I cannot wait until I start my experience. .

Read 5 reviews.

Illinois Institute of Technology

Graduate School •

CHICAGO, IL

• • Rating 4.37 out of 5   38

Lehigh University

BETHLEHEM, PA

• • Rating 4.42 out of 5   19

Tulane University

NEW ORLEANS, LA

• • Rating 4.17 out of 5   35

Olin Business School

St. Louis, MO •

Washington University in St. Louis •

• • Rating 4 out of 5   7 reviews

Master's Student: The enrolment process was an absolute pleasure. Being able to sit in on classes and interact with faculty and students was a fantastic opportunity. It gave me a real feel for the academic dynamic and the supportive community. This firsthand experience greatly influenced my decision, and I'm eagerly looking forward to becoming a part of the institution. ... Read 7 reviews

Washington University in St. Louis ,

ST. LOUIS, MO ,

7 Niche users give it an average review of 4 stars.

Featured Review: Master's Student says The enrolment process was an absolute pleasure. Being able to sit in on classes and interact with faculty and students was a fantastic opportunity. It gave me a real feel for the academic dynamic and... .

Read 7 reviews.

Chicago Booth School of Business

Chicago, IL •

University of Chicago •

• • Rating 4.85 out of 5   13 reviews

Current Master's student: Booth is a great program where they don't teach you what to think. Rather, they teach you how to think and give you the toolkit to tackle all sorts of business problems. ... Read 13 reviews

University of Chicago ,

CHICAGO, IL ,

13 Niche users give it an average review of 4.8 stars.

Featured Review: Current Master's student says Booth is a great program where they don't teach you what to think. Rather, they teach you how to think and give you the toolkit to tackle all sorts of business problems. .

Read 13 reviews.

Marshall School of Business

Los Angeles, CA •

University of Southern California •

• • Rating 4.71 out of 5   17 reviews

Current Master's student: Marshall is a fantastic business program. So far, my academic experience has been nothing short of fantastic. I have never enjoyed school before, but almost every class I have learned new, applicable, and incredibly helpful techniques that I apply in my job every day. Most of the professors are very helpful, and passionate about their subjects. Marshall has clubs for almost every industry, so depending on your industry of interest, Marshall has clubs to prepare you for interviews and get you great exposure, and they're a great way to network as well. If your industry is not represented, you have the opportunity to create one. Marshall is still relatively underrepresented in minority categories like women and people of color, but from my understanding, they are working to improve those numbers. ... Read 17 reviews

University of Southern California ,

LOS ANGELES, CA ,

17 Niche users give it an average review of 4.7 stars.

Featured Review: Current Master's student says Marshall is a fantastic business program. So far, my academic experience has been nothing short of fantastic. I have never enjoyed school before, but almost every class I have learned new,... Marshall has clubs for almost every industry, so depending on your industry of interest, Marshall has clubs to prepare you for interviews and get you great exposure, and they're a great way to... Marshall is still relatively underrepresented in minority categories like women and people of color, but from my understanding, they are working to improve those numbers. .

Read 17 reviews.

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Whiting School of Engineering

Baltimore, MD •

Johns Hopkins University •

• • Rating 4.83 out of 5   12 reviews

Master's Student: Just starting now but the onboarding process is great! The student orientation was very helpful and the school has an amazing network. ... Read 12 reviews

Johns Hopkins University ,

BALTIMORE, MD ,

12 Niche users give it an average review of 4.8 stars.

Featured Review: Master's Student says Just starting now but the onboarding process is great! The student orientation was very helpful and the school has an amazing network. .

Read 12 reviews.

The Graduate School of Arts & Sciences - University of Virginia

Charlottesville, VA •

University of Virginia •

• • Rating 4 out of 5   1 review

Alum: Very good in some areas, excellent in other areas, many academic choices available in all areas of study ... Read 1 review

University of Virginia ,

CHARLOTTESVILLE, VA ,

1 Niche users give it an average review of 4 stars.

Featured Review: Alum says Very good in some areas, excellent in other areas, many academic choices available in all areas of study .

Read 1 reviews.

College of Sciences - Georgia Institute of Technology

Atlanta, GA •

Georgia Institute of Technology •

• • Rating 5 out of 5   1 review

Other: Georgia Tech is among the top colleges you can attend. My journey there had its highs and lows, but looking back, every experience contributed significantly to my growth. A piece of advice I'd offer to newcomers is to prioritize building friendships early on. One regret I have as I reflect on my year is not connecting with more people. I initially thought I should always work independently, but that was a misstep in my academic journey. Remember, it's essential to strike a balance between learning and having fun. ... Read 1 review

Georgia Institute of Technology ,

ATLANTA, GA ,

1 Niche users give it an average review of 5 stars.

Featured Review: Other says Georgia Tech is among the top colleges you can attend. My journey there had its highs and lows, but looking back, every experience contributed significantly to my growth. A piece of advice I'd offer... .

Haas School of Business

Berkeley, CA •

University of California - Berkeley •

• • Rating 5 out of 5   3 reviews

Master's Student: I am a new EWMBA admit at Haas and so far the experience has been fantastic! It's a close-knit community of intellectual, humble, and talented working professionals. The entire team of program directors, admissions officers, etc. are SO willing to help! ... Read 3 reviews

Blue checkmark.

University of California - Berkeley ,

BERKELEY, CA ,

3 Niche users give it an average review of 5 stars.

Featured Review: Master's Student says I am a new EWMBA admit at Haas and so far the experience has been fantastic! It's a close-knit community of intellectual, humble, and talented working professionals. The entire team of program directors, admissions officers, etc. are SO willing to help! .

Tandon School of Engineering

Brooklyn, NY •

New York University •

• • Rating 4.73 out of 5   15 reviews

Master's Student: As a bioinformatics master's student at the NYU Tandon School of Engineering, I've had the opportunity to explore the fascinating intersection of biology and computer science. The program has provided a robust curriculum, covering topics such as proteomics, transcriptomics, NGS, and data analysis, which have equipped me with the skills needed to analyze and interpret complex biological data. The faculty at Tandon are experienced and supportive, and I've had the chance to collaborate with fellow students on exciting research projects. The interdisciplinary nature of bioinformatics has allowed me to gain insights into cutting-edge technologies and methodologies that are shaping the future of the field. Overall, my experience at NYU Tandon has been enriching, and I look forward to applying the knowledge and skills acquired during my master's program to contribute meaningfully to the field of bioinformatics. ... Read 15 reviews

New York University ,

BROOKLYN, NY ,

15 Niche users give it an average review of 4.7 stars.

Featured Review: Master's Student says As a bioinformatics master's student at the NYU Tandon School of Engineering, I've had the opportunity to explore the fascinating intersection of biology and computer science. The program has... The faculty at Tandon are experienced and supportive, and I've had the chance to collaborate with fellow students on exciting research projects. The interdisciplinary nature of bioinformatics has... Overall, my experience at NYU Tandon has been enriching, and I look forward to applying the knowledge and skills acquired during my master's program to contribute meaningfully to the field of... .

Read 15 reviews.

Leonard N. Stern School of Business

New York, NY •

• • Rating 4.82 out of 5   28 reviews

Master's Student: As a part-time MBA candidate at NYU Stern, I'm deeply impressed by the program's blend of academic rigor and practical application. The faculty, industry leaders in their own right, provide invaluable insights, fostering a rich learning environment. The diversity among my peers enhances our discussions, offering varied perspectives on business challenges. Stern's location in NYC is ideal for networking and accessing career opportunities, which is crucial for a working professional like me. The flexibility of evening and weekend classes allows me to balance my professional and academic commitments effectively. Stern equips students with advanced business knowledge and fosters personal and professional growth, making it an exceptional choice for anyone aspiring to excel in the business world. ... Read 28 reviews

NEW YORK, NY ,

28 Niche users give it an average review of 4.8 stars.

Featured Review: Master's Student says As a part-time MBA candidate at NYU Stern, I'm deeply impressed by the program's blend of academic rigor and practical application. The faculty, industry leaders in their own right, provide... .

Read 28 reviews.

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Carroll School of Management

Chestnut Hill, MA •

Boston College •

• • Rating 5 out of 5   2 reviews

Master's Student: I am currently enrolled in the part time, professional evening MBA program. So far it has brought me to communicate with like minded individuals and the professors truly want to see you succeed so they will go out of their way to connect with you and help you. ... Read 2 reviews

Boston College ,

CHESTNUT HILL, MA ,

2 Niche users give it an average review of 5 stars.

Featured Review: Master's Student says I am currently enrolled in the part time, professional evening MBA program. So far it has brought me to communicate with like minded individuals and the professors truly want to see you succeed so... .

Read 2 reviews.

College of Natural Sciences

Austin, TX •

University of Texas - Austin •

University of Texas - Austin ,

AUSTIN, TX ,

Questrom School of Business

Boston, MA •

Boston University •

• • Rating 4.29 out of 5   7 reviews

Master's Student: Boston University's MBA program transformed me. Faculty, experts in their fields, nurtured my learning. A diverse student body broadened my perspective. Experiential learning honed skills and purpose. BU's strong alumni network opened doors. The sense of community is invaluable. BU has equipped me for success and instilled a passion for growth. Grateful for this transformative journey. ... Read 7 reviews

Boston University ,

BOSTON, MA ,

7 Niche users give it an average review of 4.3 stars.

Featured Review: Master's Student says Boston University's MBA program transformed me. Faculty, experts in their fields, nurtured my learning. A diverse student body broadened my perspective. Experiential learning honed skills and... .

College of Liberal Arts & Sciences - University of Illinois

Urbana, IL •

University of Illinois Urbana-Champaign •

University of Illinois Urbana-Champaign ,

URBANA, IL ,

Lally School of Management

Rensselaer Polytechnic Institute •

Rensselaer Polytechnic Institute ,

College of Arts and Sciences - University of Miami

Coral Gables, FL •

University of Miami •

• • Rating 4.67 out of 5   6 reviews

Master's Student: I am in graduate school and needed something online but also wanted something that was going to challenge me and provide me with a step further than my undergrad school provided. I compared many MPA programs and chose the University of Miami because the program was so similar to the in-person MPA program, taught by the same professors, and included the same courses. While entirely online, I have come to know my fellow graduate students and come to know the faculty in each of the courses I have taken. I'm currently half-way through the program and cannot wait to complete this degree! ... Read 6 reviews

University of Miami ,

CORAL GABLES, FL ,

6 Niche users give it an average review of 4.7 stars.

Featured Review: Master's Student says I am in graduate school and needed something online but also wanted something that was going to challenge me and provide me with a step further than my undergrad school provided. I compared many MPA... .

Read 6 reviews.

Dedman College of Humanities and Sciences

Dallas, TX •

Southern Methodist University •

Southern Methodist University ,

DALLAS, TX ,

Tulane University School of Science and Engineering

New Orleans, LA •

Tulane University •

Master's Student: I am currently in the materials science and engineering 4+1 program which will allow me to earn my MS in one year instead of two. There are some really amazing professors here despite the department being pretty small. I can think of only one professor that made the class unnecessarily difficult. There are opportunities for research and extracurriculars too. ... Read 3 reviews

Tulane University ,

NEW ORLEANS, LA ,

Featured Review: Master's Student says I am currently in the materials science and engineering 4+1 program which will allow me to earn my MS in one year instead of two. There are some really amazing professors here despite the department... .

Babson College

Babson Park, MA •

• • Rating 4.58 out of 5   12 reviews

Master's Student: The best part of my experience at Babson has been the people. I have met some of the most talented and motivated people in the world. Babson is known for its entrepreneurial focus. Babson offers a variety of hands-on learning opportunities, such as internships, consulting projects, and case competitions. Babson has a strong alumni network and they are always willing to help current students and graduates. And they also provide 1-on-1 tutoring which I found to be very insightful. However, there have also been some challenges - the program is very rigorous, and the workload can be demanding. It is also important to be self-motivated and to take advantage of the resources that Babson has to offer. The MBA program at Babson is expensive. Overall, I have had a very positive experience at Babson College. I have learned a lot, and I have grown both personally and professionally. I would highly recommend Babson to anyone interested in pursuing a career in business and entrepreneurship. ... Read 12 reviews

BABSON PARK, MA ,

12 Niche users give it an average review of 4.6 stars.

Featured Review: Master's Student says The best part of my experience at Babson has been the people. I have met some of the most talented and motivated people in the world. Babson is known for its entrepreneurial focus. Babson offers a... However, there have also been some challenges - the program is very rigorous, and the workload can be demanding. It is also important to be self-motivated and to take advantage of the resources that... Overall, I have had a very positive experience at Babson College. I have learned a lot, and I have grown both personally and professionally. I would highly recommend Babson to anyone interested in... .

College of Science and Engineering - University of Minnesota Twin Cities

Minneapolis, MN •

University of Minnesota Twin Cities •

• • Rating 4 out of 5   2 reviews

Doctoral Student: I started graduate school at UMN during the height of the COVID pandemic. Despite not being able to go to classes in person or get into the lab, the UMN community has been very inclusive and I have felt very supported and welcome. I would recommend UMN to any STEM graduate student because of this great community. ... Read 2 reviews

University of Minnesota Twin Cities ,

MINNEAPOLIS, MN ,

2 Niche users give it an average review of 4 stars.

Featured Review: Doctoral Student says I started graduate school at UMN during the height of the COVID pandemic. Despite not being able to go to classes in person or get into the lab, the UMN community has been very inclusive and I have... .

The Ohio State University College of Arts and Sciences

Columbus, OH •

The Ohio State University •

Graduate Student: Not a bad place, good reputation but the College is cutting funds every year. Cutting funds within sociales sciences and humanities has been a problem that the college face every year. ... Read 1 review

The Ohio State University ,

COLUMBUS, OH ,

Featured Review: Graduate Student says Not a bad place, good reputation but the College is cutting funds every year. Cutting funds within sociales sciences and humanities has been a problem that the college face every year. .

NC State College of Sciences

Raleigh, NC •

North Carolina State University •

North Carolina State University ,

RALEIGH, NC ,

Charles V. Schaefer, Jr. School of Engineering & Science

Hoboken, NJ •

Stevens Institute of Technology •

Stevens Institute of Technology ,

HOBOKEN, NJ ,

Bentley University McCallum Graduate School of Business

WALTHAM, MA

• • Rating 4.7 out of 5   20

University of North Texas

• • Rating 4.61 out of 5   127

College of Business - Lehigh University

Lehigh University •

Showing results 1 through 25 of 68

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PhD Program

• Program of Study

Wharton’s PhD program in Finance provides students with a solid foundation in the theoretical and empirical tools of modern finance, drawing heavily on the discipline of economics.

The department prepares students for careers in research and teaching at the world’s leading academic institutions, focusing on Asset Pricing and Portfolio Management, Corporate Finance, International Finance, Financial Institutions and Macroeconomics.

Wharton’s Finance faculty, widely recognized as the finest in the world, has been at the forefront of several areas of research. For example, members of the faculty have led modern innovations in theories of portfolio choice and savings behavior, which have significantly impacted the asset pricing techniques used by researchers, practitioners, and policymakers. Another example is the contribution by faculty members to the analysis of financial institutions and markets, which is fundamental to our understanding of the trade-offs between economic systems and their implications for financial fragility and crises.

Faculty research, both empirical and theoretical, includes such areas as:

• Structure of financial markets
• Formation and behavior of financial asset prices
• Banking and monetary systems
• Corporate control and capital structure
• Saving and capital formation
• International financial markets

Candidates with undergraduate training in economics, mathematics, engineering, statistics, and other quantitative disciplines have an ideal background for doctoral studies in this field.

Effective 2023, The Wharton Finance PhD Program is now STEM certified.

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About / Departments

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

More information on the Finance PhD

Download the Finance PhD poster (PDF)

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The field of finance covers the economics of claims on resources. Financial economists study the valuation of these claims, the markets in which they are traded, and their use by individuals, corporations, and the society at large.

At Stanford GSB, finance faculty and doctoral students study a wide spectrum of financial topics, including the pricing and valuation of assets, the behavior of financial markets, and the structure and financial decision-making of firms and financial intermediaries.

Investigation of issues arising in these areas is pursued both through the development of theoretical models and through the empirical testing of those models. The PhD Program is designed to give students a good understanding of the methods used in theoretical modeling and empirical testing.

Preparation and Qualifications

All students are required to have, or to obtain during their first year, mathematical skills at the level of one year of calculus and one course each in linear algebra and matrix theory, theory of probability, and statistical inference.

Students are expected to have familiarity with programming and data analysis using tools and software such as MATLAB, Stata, R, Python, or Julia, or to correct any deficiencies before enrolling at Stanford.

The PhD program in finance involves a great deal of very hard work, and there is keen competition for admission. For both these reasons, the faculty is selective in offering admission. Prospective applicants must have an aptitude for quantitative work and be at ease in handling formal models. 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.

Faculty in Finance

Anat r. admati, juliane begenau, jonathan b. berk, greg buchak, antonio coppola, peter m. demarzo, darrell duffie, steven grenadier, benjamin hébert, arvind krishnamurthy, hanno lustig, matteo maggiori, paul pfleiderer, joshua d. rauh, claudia robles-garcia, ilya a. strebulaev, vikrant vig, jeffrey zwiebel, emeriti faculty, robert l. joss, george g.c. parker, myron s. scholes, william f. sharpe, kenneth j. singleton, james c. van horne, recent publications in finance, behavioral responses to state income taxation of high earners: evidence from california, beyond the balance sheet model of banking: implications for bank regulation and monetary policy, fee variation in private equity, recent insights by stanford business, “geoeconomics” explains how countries flex their financial muscles, car loans are a hidden driver of the ride-sharing economy, public pensions are mixing risky investments with unrealistic predictions.

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PhD Program in Finance

2023-24 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 Courses

The 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 - Summer

Math Camp begins on the second Monday in August. 

First Year - Fall Semester

14.121/14.122 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 Semester

14.123/14.124 Micro Theory III/IV

14.453/14.454 Macro Theory III/IV (strongly recommended)

14.382 – Econometrics

15.471 – Corporate Finance

Second Year - Fall Semester

15.472 — 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 Semester

15.473 — Advanced Corporate Finance

 15.474 — Current Topics in Finance (strongly encouraged to take multiple times)

15.475 — Current Research in Financial Economics

Recommended Elective Courses

Beyond 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.

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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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

Mathematics (PHD) – Financial Mathematics Track

Program at a glance.

• In State Tuition
• Out of State Tuition

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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Enter your information below to receive more information about the Mathematics (PHD) – Financial Mathematics Track program offered at UCF.

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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A graduate degree in mathematics can help students hone their skills in a specialty area, from algebra and number theory to discrete mathematics and combinatorics. These are the best graduate-level math programs. Each school's score reflects its average rating on a scale from 1 (marginal) to 5 (outstanding), based on a survey of academics at peer institutions. Read the methodology »

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PhD Profile for Mathematical Finance

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The 10 Best PhD Programs in Finance

In essence, finance is the study of economics and the claims on resources. The best PhD programs in finance help you develop professionally so you can make difficult decisions around fund allocation, financial planning, and corporate financial management. This qualification will also equip you for a career in teaching or research at top universities.

Which of the 10 best finance PhDs is best for you?

Read on to learn everything you need to know.

Table of Contents

Why Get a Doctorate in Finance?

According to the Bureau of Labor Statistics (BLS), finance managerial professionals have an average salary of $131,710  per year, and jobs are estimated to grow by 17%  from 2020 to 2030. This is much more than the average across all occupations. With a PhD in finance, you may work as a finance manager or even become a CEO of a large corporation.

Jobs and Salaries for Doctors of Finance

After earning a PhD in finance, you can find well-paid jobs as a professor or in various corporate finance roles.

Here are some of the most common finance professions with the average annual salaries for each:

• Financial Manager ( $96,255 )
• Financial Analyst ( $63,295 )
• Finance Professor ( $73,776 )
• Chief Financial Officer ( $140,694 )
• Investment Analyst ( $67,730 )

Read More:   The Highest Paying PhD Programs

What’s the average cost of a phd program in finance.

The tuition for a PhD in finance can vary depending on the university, with public institutions generally being much more affordable than private ones.

Across all schools, the average tuition is around $30,000 per year.

However, on top of this, you need to factor in other expenses, which could add up to another $30,000 a year. Some top universities offer full funding, including tuition and a stipend for all students who are successfully admitted to the program.

Read Next: The Average Cost of a Master’s Degree in Finance

Top finance phd programs and schools, stanford university, graduate school of business.

PhD in Finance

Stanford University is one of the most prestigious business schools in the world. Its PhD in finance programs has an emphasis on theoretical modeling and empirical testing of financial and economic principles.

• Courses include: Financial markets, empirical asset pricing, macroeconomics, and financial markets.
• Duration: 5 years
• Tuition : Full funding
• Financial aid: Research & teaching assistantship, grants, outside employment, and outside support.
• Delivery: On-campus
• Acceptance rate: 5%
• Location: Stanford, California

The University of Pennsylvania, The Wharton School

The University of Pennsylvania’s renowned Wharton School of Business is home to faculty who are well-known in the field of business research. The school boasts a low student-faculty ratio in an atmosphere that allows you to work with faculty members as peers. This doctor of finance program emphasizes subjects like asset pricing, corporate finance, and portfolio management. This helps students become experts in research and teaching in these areas.

• Courses include: Topics in asset pricing, financial economics, and international finance.
• Credits: 18 courses
• Financial aid: Fellowships, grants, student employment, health insurance, stipend, and loans.
• Acceptance rate: 9%
• Location: Philadelphia, Pennsylvania

The University of Chicago, Booth School of Business

Booth School of Business is a major center for finance education because its faculty includes Eugene F. Fama, Nobel laureate and the father of modern empirical finance. This finance doctoral degree has an option for a joint PhD in collaboration with the university’s economics department.

• Courses: Financial economics, financial markets in the macroeconomy, and behavioral finance.
• Tuition : Refer tuition page
• Financial aid: Grants, stipends, health insurance, scholarships, fellowships, teaching assistantships, research assistantships, and loans.
• Acceptance rate: 7%
• Location: Chicago, Illinois

The University of Illinois at Urbana-Champaign, Gies College of Business

The University of Illinois at Urbana Champaign is one of the best places for studying and conducting research in finance. Its finance research faculty was ranked #4  in the UTD Top 100 Business School Research Rankings between 2016-2019. In this PhD in finance program, students can take the qualifying examination at the end of the first year and, if successful. They’ll be able to start their research project earlier and complete the degree sooner.

• Courses include: Empirical analysis in finance, corporate finance, and statistics & probability.
• Duration: 4-5 years
• Financial aid: Full tuition waiver, stipends, scholarships, grants, student employment, and loans.
• Acceptance rate: 63%
• Location: Champaign, Illinois

Massachusetts Institute of Technology, Sloan School of Management

The Sloan School is one of the top research centers in the world, which aims to transform students into experts who can handle real-world problems in a wide range of spheres, from business and healthcare to climate change. This PhD program in finance gives students the flexibility to choose between a wide range of electives and even study some courses at Harvard.

• Courses include: Current research in financial economics, statistics/applied econometrics, and corporate finance.
• Duration: 6 years
• Financial aid: Full tuition, stipend, teaching assistantships, research assistantships, health insurance, fellowships, scholarships, and loans.
• Location: Cambridge, Massachusetts

Northwestern University, Kellogg School of Management

The Kellogg School of Management allows students to conduct independent research under the supervision of faculty who’ve made significant contributions to the field and have earned numerous prestigious awards. This doctorate of finance program’s admission process has a dual application option. You can also apply to the Economics PhD simultaneously, so if you are not selected for the finance program, you may be considered for economics.

• Courses include: Econometrics, corporate finance, and asset pricing.
• Duration: 5.5 years
• Financial aid: Tuition scholarship, stipends, health insurance, moving allowance, and subsidies.
• Location: Evanston, Illinois

The University of California Berkeley, Haas School of Business

The Haas School of Business in Berkeley is an innovative institution that questions the status quo, takes intelligent risks, and accepts sensible failures in its path to progress. This finance PhD program offers students opportunities to learn about cutting-edge research from faculty from around the world.

• Courses include: Corporate finance theory, stochastic calculus, and applications of psychology & economics.
• Tuition : Refer cost page
• Financial aid: Fellowships, grants, tuition allowance, stipends, teaching assistantships, and research assistantships.
• Acceptance rate: 17%
• Location: Berkeley, California

The University of Texas at San Antonio, Alvarez College of Business

The Alvarez College of Business is one of the forty largest business schools in the USA. It follows a comprehensive and practical approach to education that allows students to apply the knowledge they gain directly in the workplace. This PhD in finance encourages students to do collaborative research with the faculty, which helps them publish their own academic papers before they even complete the program.

• Courses include: Corporate finance, international financial markets, and microeconomic theory.
• Credits: 84 (post-bachelors)
• Financial aid: Scholarships, grants, work-study, teaching assistantships, research assistantships, research fellowships, and loans.
• Acceptance rate: 84%
• Location: San Antonio, Texas

Liberty University, School of Business

Doctor of Business Administration (DBA) in Finance

Liberty University is a non-profit institution among the top five online schools in the USA and has been offering fixed tuition fees for the past seven years. This is one of the best PhD in Finance programs you can do completely online. It aims to prepare students to address issues in business finance through research, best practices, and relevant literature.

• Courses: Managerial Finance, Investments & Derivatives, Business Valuation, etc.
• Credits: 60
• Duration: 3 years average
• Tuition : $595 per credit
• Financial aid: Grants, scholarships, work-study, veteran benefits, and loans.
• Delivery: Online
• Acceptance rate: 50%
• Location: Lynchburg, Virginia

Northcentral University

PhD in Business Administration (PhD-BA) – Finance Management

Northcentral University was founded with the objective of offering flexible, fully-online programs to working professionals around the world. This doctorate degree in finance online is flexible and allows you to design your own schedule. You will also get one-on-one personal mentoring from qualified faculty.

• Courses include: Business financial systems, business statistics, and business leadership & strategy.
• Duration: 84 months average
• Tuition: $1,105 per credit
• Financial aid: Grants, scholarships, and military scholarships.
• Acceptance rate: NA
• Location: Scottsdale, Arizona

Things To Consider When Choosing a Finance PhD Program

The right PhD program for you is a very personal decision and will depend on several individual factors.

However, these general questions will help you to make the right choice:

• Is the university properly accredited?
• Does the university conduct innovative and cutting-edge research?
• Are there renowned faculty members who you’ll want to work with?
• Do they offer subjects or specializations that match your career goals?
• What is the school’s placement history?
• What are the tuition fees, costs, and options for scholarships and financial aid?
• Does the program offer online study options?

It’s also important to consider if you want to pursue a career in academia or work in organizations as a senior finance professional. A PhD degree will generally set you up for a career in research or academia, while a DBA is more suited to a career in business or government.

Preparing for a Finance Doctorate Program

It’s important to start preparing early if you want to be selected for one of the best finance PhD programs.

These handy tips can help you put your best foot forward:

• Research the requirements of the best universities offering PhD in finance degrees, including pre-requisite subjects and qualifying grades. Keep these in mind when completing your bachelor’s or master’s degree.
• Understand your strengths and weaknesses in relation to the program’s requirements. Work on your weaknesses and continue to hone relevant skills.
• Read extensively in the field and keep up-to-date on regional and global developments.
• Join communities of finance professionals to build your network and be exposed to the latest knowledge in the discipline.

Skills You Gain from Earning a PhD in Finance

The most important skills you learn as a doctor of finance include:

• Communication skills, including writing and presentation skills
• Data analytical skills
• Economics and accounting skills
• Critical thinking skills
• Mathematical skills
• Analytical software skills
• Management and leadership skills
• Problem-solving skills

PhD Programs in Finance FAQs

How long does a phd in finance take.

PhD programs in finance usually take between three and eight years to complete.

Is It Worth Getting a PhD in Finance?

A PhD in Finance is a qualification that’s in high demand today. It is a terminal degree and can help you get top-level jobs with lucrative salaries in corporate or large organizations.

How Much Can You Make With a PhD in Finance?

With a finance doctorate, you can expect to earn a salary anywhere from around $45,000 to $150,000, depending on your experience, role, and the organization you work for. According to the BLS, the average salary for finance PhD holders is $131,710 .

What Do You Need To Get a PhD in Finance?

The admissions requirements vary depending on the program, but you’ll typically need a bachelor’s or master’s degree in finance. The programs can take three to eight years of coursework and research.

To apply, you’ll usually need to submit:

• Application
• Academic resume
• Academic transcripts
• Recommendation letters
• GRE or GMAT score
• Personal essay

Final Thoughts

With a doctorate in finance, you can build a rewarding career in academia, research, or the business sector. Like any doctorate, these programs ask for dedication and hard work. By planning early, you’ll set yourself up to pursue one of the best PhD programs in finance.

For more on how to build your career in the field, take a look at our guides to the best master’s degree in finance , the highest paying PhDs , and fully-funded PhD programs .

Lisa Marlin

Lisa is a full-time writer specializing in career advice, further education, and personal development. She works from all over the world, and when not writing you'll find her hiking, practicing yoga, or enjoying a glass of Malbec.

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2024 QuantNet Ranking of Best Financial Engineering Programs

The 2024 QuantNet ranking is best positioned to help prospective applicants decide where to apply and enroll in these master quantitative programs.

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Ranking: M.S. in Mathematical Finance no. 11 in U.S.

UNC Charlotte’s Master of Science in Mathematical Finance program has soared to its highest national ranking ever. The program is No. 11 in the TFE Times’ 2022 Master of Financial Engineering program rankings .

Over the past six years, the M.S. in Math Finance program has increased steadily in the rankings, rising nine slots since 2016.

“UNC Charlotte’s M.S. in Mathematical Finance is proud to be a leader among financial engineering programs in the country,” said Dr. Yufeng Han , M.S. in Math Finance program director. “This ranking places us among elite institutions and demonstrates the quality of our quantitative graduate programs.”

The growth of the program’s success is a testament to the exceptional faculty, combined with a customizable interdisciplinary approach, Han said.

As the second-largest financial center in the United States, Charlotte relies on UNC Charlotte to supply talent and insights — new financial technology — that drives the region’s economy. As a STEM-designated program of the departments of Finance and Economics in the Belk College and the Department of Mathematics and Statistics  in the College of Liberal Arts & Sciences , the program excels as an emerging field in one of the top AACSB accredited business schools in North Carolina.

The program gives students strong preparation for careers in finance, including an emphasis on growing their math and data skills, said Taufiquar Khan , chair of the Department of Mathematics and Statistics.

“Students apply highly sophisticated mathematical models to identify, measure, and manage risk, preparing them for real-world situations they will face,” Khan said. “The mathematical finance program draws upon the expertise of diverse faculty in economics, finance and mathematics. This interdisciplinary approach yields strong outcomes for students and for employers.”

The TFE Times rankings, one of several Belk College national rankings, are among the most comprehensive for graduate financial engineering, financial mathematics, quantitative finance, computational finance and mathematical finance programs in the country.  The rankings are calculated based on several components, including average test scores, starting salaries, undergraduate GPA, acceptance rates and graduate employment rates.

Those interested in learning more about the program are invited to register to attend an upcoming virtual information session. 

About the Belk College of Business

Established in 1970, UNC Charlotte’s Belk College of Business is one of the Carolinas’ largest business schools, with more than 5,100 students, more than 100 full-time faculty, and an alumni network of more than 34,000. Accredited by AACSB International, the college is committed to building strong partnerships in the greater Charlotte region and beyond as North Carolina's urban research business school. Learn more about how the Belk College is driving what’s next at  belkcollege.charlotte.edu , and on  LinkedIn ,  Facebook ,  Twitter  and  Instagram .

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Intellectual Rationale for the MSMF

Two remarkable changes in the last thirty years have led to the demand for a new kind of scientific skill. Globalization has led to greater interdependence of markets: more distant information from many parts of the world intervenes to determine the prices of commodities and securities on US markets. Markets move faster and are much more volatile. As a result many corporations and financial institutions have found themselves exposed to greatly increased risks that traditional financial instruments were ill equipped to handle.

During the same period the theoretical modeling of financial markets underwent a major revolution. A mathematical theory of finance was developed, which led to a new understanding of risk diversification and hedging, and to remarkable pricing formulas for derivative securities which have proved to be of great practical utility for reducing risks. It is now possible to design and price sophisticated, tailor-made securities for controlling the exposure to risk of corporations and financial institutions. The explosion in the growth and calculating power of computers has also made it possible to better evaluate risks and implement highly effective hedging strategies.

Traditional programs at universities have proved ill suited to train a new generation of students, to equip them with the requisite skills. A program that can meet the needs of the new environment is indeed demanding: students must acquire a good mathematical knowledge of stochastic processes, a good knowledge of numerical analysis and computation, plus a good understanding of the structure, functioning and modeling of financial markets. It is with this in mind that the MS degree in Mathematical Finance was created as a joint Program between the Economics and Mathematics Departments at USC. The objective of the Program is to produce graduates with a rigorous foundation in the economic theory and mathematical modeling of financial markets.

Program Objective

The objective of this Master of Science program is to produce graduates with a rigorous foundation in the economic theory and mathematical modeling of financial markets. The program creates an integrated curriculum spanning four disciplines: economics, mathematics, econometrics/statistics and computational/numerical analysis. The program is designed for recent graduates in the fields of applied mathematics, physics and engineering – or for graduates in economics, business and finance with strong mathematical backgrounds – who wish to pursue quantitatively-oriented careers in financial institutions, industry, or government.

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