If you are passionate about quantitative finance, financial technology, statistics, data analysis, and programming, and you have the determination to take on a demanding curriculum, the Master of Science in Mathematical Finance & Financial Technology (MSMFT) is meant for you.

You will be guided by faculty members, world-renowned authorities in the subject areas comprising the curriculum, to develop a skill set that will set you apart in the highly competitive quantitative finance and fintech job markets. Whether your sights are set on working in financial technology, financial data analysis, financial engineering, risk management, asset management, or quantitative analytics, you will have what it takes to succeed.

MS in Mathematical Finance & Financial Technology

At A Glance

The three-semester program takes you to the cutting edge of financial engineering. The curriculum starts with tools such as stochastic calculus, derivatives, or computational methods necessary in most aspects of our fields. It then lets you explore your special interests, be it quantitative portfolio or risk management, fixed income or equity, You will be exposed to the latest techniques use in financial technology and statistical data analysis. You can explore exciting new frontiers such as machine learning and algorithmic trading.

MS in Mathematical Finance & Financial Technology

Career Support


We’ve got you covered.

Everyone attends the mandatory course, MF 610: Mathematical Finance Career Management. The weekly Friday session includes resume, interview, and coding training, presentations by quantitative finance leaders, many of which regularly hire our students. In addition, the Team; the Executive Director, the Associate Director for industry relations, our quantitative interview skills coach and our soft skills coaches follows you every step of the interview process. Advice is available for course choice, comparing multiple job offers, and more.

MS in Mathematical Finance & Financial Technology

Our students

At Questrom, community is at the core. We’re collaborative, not cutthroat. We’re honest, thoughtful, and eager to see one another succeed. Everybody benefits from others’ success. Faculty, staff, students, or alumni, form a motivated and ambitious, but also welcoming and inclusive community.

MSMFT students hail from around the globe, but they have one thing in common—drive! They are all diligent students, eager to learn, grow, and change the world. Meet a few of our students.

Ready to settle in? You’ll find everything you need to know about on-campus housing on BU’s Housing website. Or, check out this guide with tips on finding off-campus housing nearby.

MS in Mathematical Finance & Financial Technology

Faculty Spotlights

Eugene Sorets has a BS from Cornell and a PhD from the NYU Courant Institute, both in Mathematics. Sorets has been a research mathematician at UC Irvine, the Institute for Advanced Study in Princeton, and Yale University.

He has 20 years of financial industry experience, ranging from fintech startups to establishing hedge funds. He is currently the director of research at Bracebridge Capital, a fixed income arbitrage fund based in Boston.

Steven Kou is Allen Questrom Professor in Management and Professor of Finance at Boston University Questrom School of Business. Previously, he was the Provost’s Chair Professor of Mathematics at National University of Singapore, and Professor at Columbia University (2008-2014).

Professor Kou teaches  courses on the Economics of Financial Technology course in the MSMFT program. At NUS, Kou was the Director of the Risk Management Institute. Currently he is a co-area-editor for Operations Research, co-editor for Digital Finance, and  associate editor at Mathematical Finance, and has served on editorial boards of several other journals, such as Management Science, Mathematics of Operations . He is a fellow of the Institute of Mathematical Statistics, a recipient of the 2021 Shadadpuri Faculty Research award, and won the 2002 Erlang Prize from INFORMS. Kou’s PhD is in Statistics from Columbia.

Philip Sun is a fintech entrepreneur, investment manager, and leader of quantitative research and investment teams with over 25 years of professional experience. Philip is currently the CEO and co-founder of a fintech startup, Adaptive Investment Solutions, LLC. and a Professor of Finance and Entrepreneurship at Hult International Business School.

Philip teaches Algorithmic and High-frequency, where he is working to reshape the class to combine both mathematical rigor and in-depth exposure to real-world data and trading applications.

Philip holds an MBA from the Wharton School, a PhD in Physics from Carnegie Mellon University, and dual Bachelor Degrees in Physics and Mathematics from Stony Brook University. Philip is a Chartered Financial Analyst.

MS in Mathematical Finance & Financial Technology

class profile



73% | 27%


Applications Received Enrolled Students Male | Female Ratio* Age (mean)


164 – 170



GRE Quantitative (Mean) GRE Quantitative
(80% Range)
(80% Range)


3.17 – 3.86



Undergraduate GPA
(Mean on 4.0 Scale)
Undergraduate GPA
(80% Range on 4.0 Scale)
Countries Represented

*While we understand sex and gender may not be binary, this information is based on reporting requirements to the US Federal Government

Countries Represented

  • China
  • Hong Kong
  • India
  • Morocco
  • Pakistan
  • Singapore
  • Taiwan
  • Turkey
  • United States

Take the next step

See for yourself how the Questrom experience can transform your world. Attend an admissions event in-person or online, grab coffee with a student, and more.

Apply to the MSMFT

Ready to apply? Once you’ve submitted your materials, we’ll start the review process. We’re happy to answer your questions along the way.

Rolling Admissions underway – Pending seat availability

Applications Will Be Reviewed Upon Submission
Learn more about BU Questrom programs, admissions process, and events.
Connect with Us