Universities / University of Southern California
MS in Mathematical Finance (MSMF)
A math-heavy Dornsife degree integrating economics, mathematics, econometrics/statistics and numerical analysis. Core stochastic calculus, financial informatics and time series, with electives in quantitative investing, machine learning and optimal control.
What you’ll study
Core
- MATH 530a/b Stochastic Calculus and Mathematical Finance
- MATH 512 Financial Informatics and Simulation
- MATH 590 Directed Research
- ECON 500 Microeconomic Analysis and Policy (waivable)
- ECON 515 Time Series Analysis
- ECON 577 Foundations of Financial Economics
Electives
- FBE 551 Quantitative Investing
- FBE 555 Investment Analysis and Portfolio Management
- FBE 559 Management of Financial Risk
- MATH 541a/b Introduction to Mathematical Statistics
- MATH 547 Mathematical Foundations of Statistical Learning Theory
- MATH 501 Numerical Analysis and Computation
- MATH 548 Machine Learning in Quantitative Finance
- MATH 585 Mathematical Theory of Optimal Control
- ECON 504 Game Theory
- ECON 514 Empirical Finance
- ECON 555 Topics in Asset Pricing Theory
- ECON 570 Big Data Econometrics
Source: dornsife.usc.edu ↗
Before you apply
- Background
- Recent graduates in applied maths, physics, engineering, or economics/business/finance with strong maths
- Maths
- advanced calculus/analysis (one semester); linear algebra (one semester); advanced probability/statistics (one semester)
- Programming
- MATLAB and C/C++ helpful, not required
- Tests
- GRE General Test highly recommended
- Other
- Statement of purpose and three recommendation letters
Source: dornsife.usc.edu ↗
After graduation
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Checked 6 November 2026 against the sources linked on this page. Fees, units and requirements change each year, so confirm them on the programme’s website before applying.
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