Universities / Claremont Graduate University
MS in Financial Engineering (MSFE)
First financial engineering master's in California, mixing mathematics, finance and computation including machine learning. Aimed at portfolio and risk management roles, with small classes and an exchange option at the University of Lausanne.
What you’ll study
Core
- Methods of Applied Probability and Statistics
- Corporate Finance
- Time Series Data Analysis
- Stochastic Processes
- Mathematical Finance: Fixed Income and Derivatives
- Quantitative Risk Management
Electives
- Asset Management Practicum
- Machine Learning for Asset Pricing and Management
- Statistical Learning
- Quantum Computing and Applications
- Partial Differential Equations
- Math Clinic
- Optimization
- Computational Statistics
- Advanced Big Data Analysis
Source: cgu.edu ↗
Before you apply
- Background
- Undergraduate degree; transcripts from all institutions
- Maths
- multivariable calculus (B or better); linear algebra (B or better)
- Programming
- Recommended: C, C++, Visual Basic, Java or Matlab
- English
- English proficiency exam for international applicants (exemptions listed); TOEFL code 4053; no minimum stated
- Other
- Statement of purpose 3-5 pages, resume, 2 letters of recommendation, US$80 fee
Source: cgu.edu ↗
After graduation
- Typical first roles
- Quantitative Research Associate, Portfolio Analyst, Director Fixed Income, Vice President
- Employers
- Goldman Sachs, Barclays, AIG, BlackRock, Western Asset Management, Capital Group
Source: cgu.edu ↗
Want to see what employers ask for? Browse open quant roles.
STEM-designated (up to 36 months OPT). Employers/roles are alumni examples, not outcomes statistics.
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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