MS in Computational Finance & Risk Management (CFRM)
A programme with a heavy R and open-source emphasis covering investment science, financial data science, portfolio allocation, derivatives and Monte Carlo methods. Offered both on campus and online, with a per-credit fee structure suited to working professionals.
What you’ll study
Core
- CFRM 501 Investment Science
- CFRM 502 Financial Data Science
- CFRM 503 Asset Allocation and Portfolio Management
- CFRM 504 Options and Other Derivatives
- CFRM 505 Monte Carlo Methods in Finance
- CFRM 506 Financial Data Access & Analysis or CFRM 507 Optimization Methods in Finance
- CFRM 509 Ethics in the Finance Profession
Electives
- 16 credits of electives (vary by term; optional internship CFRM 601)
Source: depts.washington.edu ↗
Before you apply
- Background
- Undergraduate or master's degree in a science or engineering field; MBAs or experienced finance professionals with strong quant skills also considered; Graduate School GPA 3.0 minimum, average incoming about 3.7
- Maths
- calculus through partial differentiation; matrix algebra; one-dimensional optimization; probability and statistics (upper-level undergraduate)
- Programming
- Java, C++ or Python, or MATLAB/R
- Tests
- GRE/GMAT optional; typical GRE at or above 159 Verbal and 167 Quant
- English
- Required for non-native speakers, no specific minimum listed (UW Graduate School Policy 3.2)
- Other
- Statement of purpose, resume, 90-second video, recommendation letters; autumn-only intake
Source: depts.washington.edu ↗
After graduation
The programme doesn’t publish an employment report.
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No placement statistics published on pages checked. Campus 2027 applications due Jan 29, 2027; online May 1, 2027. QuantNet figures not retrieved. Original url cfrm.uw.edu redirects to depts.washington.edu/compfin.
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.