Universities / University of Minnesota
MS Mathematics: Financial Mathematics emphasis (MS Math FinMath)
A named financial-mathematics emphasis inside the Mathematics MS. Mathematical finance and financial modelling lead into electives in machine learning, risk, fixed income, hedge-fund strategies and optimisation.
What you’ll study
Core
- Math Finance I
- Math Finance II
- Financial Modeling I (Python)
- Financial Modeling II (C#)
Electives
- Machine Learning in Finance
- Quantitative Risk Management
- Fixed Income Markets
- Quantitative Hedge Fund Strategies
- Portfolio Optimization
- Market Microstructure
Source: cse.umn.edu ↗
Before you apply
The programme doesn’t publish detailed entry requirements beyond a general admissions page.
After graduation
The programme doesn’t publish an employment report.
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Financial Mathematics is a named emphasis within the MS Mathematics degree.
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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