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Quantitative Investing

Latest articles on Quantitative Investing, covering wide-ranging topics, from portfolio construction and strategic rebalancing to risk premia strategies and statistical arbitrage, with emphasis on combining quantitative methods with financial insights.

MS Degree in Computational Finance & Risk Management (CFRM)

Useful Application Info for 2026

3 min readOct 13, 2025

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Space needle and Mt. Rainier in Seattle, Washington.

The Master of Science in Computational Finance and Risk Management (MS-CFRM), housed within the Applied Math Department at University of Washington — Seattle, addresses the demand in the financial services profession for advanced skills in quantitative analytics and financial data science, along with modern risk management competencies.

For students and current professionals with strong mathematical and quantitative skills, the CFRM program provides exciting new opportunities for advancement in a new or current career pathway in the numerous fields in finance.

The CFRM program has a strong emphasis on professional development & career services. We provide year-round support, ranging from resume book & employers outreach to cover letters & mock interviews, for our MS students with their job search.

CFRM leads the field of quantitative finance and financial engineering programs in terms of flexibility: our domestic and international students, with or without prior finance industry experience, can attend full-time or part-time, on campus or online, completing the CFRM curriculum alongside students ranging from brand-new college grads to senior professionals.

This degree is offered in both a full-time and a flexible part-time schedule, as well as in two cohorts for students in the classroom and online. Nearly all courses are offered simultaneously to both audiences.

Courses

The Master’s degree requires a minimum of 42 credits:

  • 26 credits of mandatory coursework
  • 16 credits of elective coursework

Here are the required courses:

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Students can choose from a wide collection of elective courses, ranging from machine learning & trading systems to fintech & credit risk:

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Course descriptions are available here.

For the 2024–2025 academic year, the fee rate is $1,165 per credit. The complete 42-credit MS costs $48,930 in course tuition. Several scholarships are available for program students and is evaluated along with the application process. Opportunities for funding through research or TA appointments are also possible for CFRM MS students.

The application deadlines are

2026 Master of Science Program
Applications open September 1, 2025
Campus MS: January 30, 2026
Online MS: May 1, 2026

For admissions requirements and application procedure, visit our admissions page. Ready to apply? Start here.

For More Info:

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Quantitative Investing
Quantitative Investing

Published in Quantitative Investing

Latest articles on Quantitative Investing, covering wide-ranging topics, from portfolio construction and strategic rebalancing to risk premia strategies and statistical arbitrage, with emphasis on combining quantitative methods with financial insights.

Tim Leung, Ph.D.
Tim Leung, Ph.D.

Written by Tim Leung, Ph.D.

Endowed Chair Professor of Applied Math, Director of the Computational Finance & Risk Management (CFRM) Program at University of Washington in Seattle

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