Universities / University of California, Berkeley
Master of Financial Engineering (MFE)
A one-year, intensive Haas programme blending derivatives, empirical finance and financial data science, with an Applied Finance Project and a required internship or industry project. Strong stated expectation of C++ or advanced Python and PDE/numerical analysis background.
What you’ll study
Core
- MFE 230A Investments and Derivatives
- MFE 230E Empirical Methods in Finance
- MFE 230Q Stochastic Calculus with Asset Pricing Applications
- MFE 230T Positioning Yourself for Opportunities in the Financial World
- MFE 230D Derivatives: Quantitative Methods
- MFE 230I Fixed Income Markets
- MFE 230P Financial Data Science
- MFE 230H Financial Risk Measurement and Management
- MFE 230O Applied Finance Project
Source: mfe.haas.berkeley.edu ↗
Before you apply
- Maths
- multivariate calculus; linear algebra; partial differential equations; numerical analysis; advanced statistics and probability
- Programming
- Hands-on C++ or advanced Python; data ETL and algorithm design
- Other
- Two finance courses or equivalent work experience; B or higher in prerequisites or plan to complete before start
Source: mfe.haas.berkeley.edu ↗
After graduation
- Employment
- Class of 2025: 70 seeking, 67 accepted offers (about 96%, ratio calculated from published counts); homepage states 96% of class of 2025 received full-time offers
- Salary
- Class of 2025 median base US$150,000 (homepage cites US$154K median base compensation); median signing bonus US$40,000
- Typical first roles
- Portfolio management/quant research and analysis (55%), Trading (12%), Strats/structuring (10%), Quant developer/engineer (5%), Data science + ML/AI (5%)
- Employers
- BlackRock, BMO Capital Markets, BNP Paribas, Deutsche Bank, Goldman Sachs, Jump Trading, Millennium Management, Morgan Stanley, Optiver, Point72, Societe Generale, Squarepoint, UBS, Walleye Capital
Source: mfe.haas.berkeley.edu ↗
Want to see what employers ask for? Browse open quant roles.
Homepage claims #1 in TFE Times ranking (2026). Class of 2025 profile: avg age 25, 2.47 years work experience, avg GRE quant 91st percentile.
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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