Universities / Washington University in St. Louis
MS in Finance - Quantitative (MS in Quantitative Finance) (MSFQ)
A 39-credit, three-semester Olin degree with a core covering derivatives, fixed income, stochastic foundations and risk, plus an introduction to Python and data science. An experiential-learning requirement (internship, applied project or CFAR practicum) gives it a practical finish.
What you’ll study
Core
- Options & Futures
- Derivative Securities
- Advanced Derivative Securities
- Investment Theory
- Data Analysis for Investments
- Stochastic Foundations for Finance
- Data Analysis, Forecasting & Risk Analysis
- Mathematical Finance
- Fixed Income Securities
- Fixed Income Derivatives
- Introduction to Python & Data Science
- Quantitative Risk Management
- Professional Business Communication
Electives
- Machine Learning Tools for Prediction of Business Outcomes
- Database Design & SQL
- Big Data & Cloud Computing
- Introduction to Artificial Intelligence
- Data Mining
- Data Structures & Algorithms
Source: olin.washu.edu ↗
Before you apply
- Background
- Completed undergraduate degree from an accredited institution (most international three-year degrees accepted)
- Maths
- Statistics; Calculus I
- Tests
- GRE/GMAT optional but recommended
- English
- TOEFL iBT 90 (5.0 new scale), IELTS 6.5, Duolingo 125
- Other
- One-page resume; no minimum work experience
Source: olin.washu.edu ↗
After graduation
- Typical first roles
- Asset Manager, Risk Manager, Capital Markets and Research Associate, Financial Engineer, Fund Manager, Derivatives Trader
Source: olin.washu.edu ↗
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Page title is 'MS in Finance - Quantitative'. No placement statistics found. QuantNet figures not retrieved. wustl.edu URL redirects to washu.edu.
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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