Mathematical Finance (M.A.S.)
The Master of Mathematical Finance program advances education in theoretical, computational, and business aspects of quantitative methodologies relevant to the financial industry to help students pursue careers in financial risk management.
Illinois Tech's new Master of Financial Technology is replacing this program as of Fall 2022.
Learn more about the Master of Financial Technology
Illinois Tech's professional Master of Mathematical Finance program provides a superior quantitative education to prepare for careers in quantitative analysis and financial engineering. Become immersed in the quantitative principles of valuation and hedging of financial securities.
The Master of Mathematical Finance program offers an ideal balance of theoretical knowledge and practical application. Learn from professors affiliated with the Department of Applied Mathematics and Stuart School of Business to get insight into quantitative methods for valuation and hedging of financial derivatives, quantitative risk management in finance, machine learning in finance, algorithmic trading, and more.
Chicago is a vibrant, global hub for the financial community. It is home to prominent financial exchanges as well as some of the nation’s major banks, hedge funds, investment firms, and insurance companies. Research and internship experiences, as well as future employment opportunities, are enriched by the resources available in Chicago.
Program Overview
The program strikes a balance of theoretical knowledge and practical application. Learn from applied math and business professors, as well as financial practitioners with insight into fixed income modeling and practice, computational methods, and trading strategies.
Career Opportunities
Master of Mathematical Finance alumni are employed by CME Group, Citigroup, Discover Financial Services, Envestnet, Goldman Sachs, Intercontinental Exchange, JPMorgan Chase & Co., Morgan Stanley, OCC, PrivateMetrics Group, and Quantitative Risk Management, Inc. (QRM).
- Quantitative trader
- Quantitative analyst
- Quantitative modeler
- Quantitative software developer
Admission requires a bachelor’s degree in a quantitative discipline such as mathematics, quantitative finance, engineering, or statistics with a minimum cumulative GPA of 3.0/4.0.
Applicants must have a background in undergraduate-level probability theory, multivariate calculus, and linear algebra. Background in ordinary differential equations will enhance the chance of admission to the program.
If required, TOEFL scores should be a minimum of 90/250 (internet-based/computer-based test score), or the IELTS score should be a minimum of 6.5.
A two-page professional statement of goals and objectives, and a curriculum vitae, must be submitted.
Two letters of recommendation are required, and at least one must be from academia.
An interview may also be required.
Typically, admitted students score at least 156 on the quantitative portion of the GRE and at least 3.0 on the analytical writing portion.
Ask A Professor
What do climate change, finance, data science, sports analytics, engineering, and software development all have in common? They all have foundations in mathematics. Discover how a degree in applied mathematics can open doors to these careers, and many more, by speaking with Professor Igor Cialenco, director of graduate studies at Illinois Tech’s Department of Applied Mathematics. These virtual visits occur on Thursdays from 3 p.m. to 4 p.m. CST.
Thursday, October 28, 2021 Register
Thursday, November 10, 2021 Register
Thursday, December 8, 2021 Register
Additional Information
Featured Faculty
Igor Cialenco
Matthew Dixon
Fred J. Hickernell
Tao L. Wu
Sergey Nadtochiy
Andrei Lyashenko
Benjamin E. Van Vliet
