The Master of Science in Computational Finance and Risk Management (MS-CFRM) addresses the demand in the financial services profession for advanced quantitative and computational finance skills, and next generation risk management competencies. -
For students and current professionals with strong mathematical and quantitative skills, the MS-CFRM degree program provides exciting new opportunities for advancement in a new or current career pathway in the numerous fields in finance.
What the program covers
- Rigorous mathematical and statistical foundations of quantitative finance
- Extensive instruction in use of the open source R-programming environment and rapid growth of cutting edge R finance packages
- Classical volatility and mean-variance methods of risk analysis and portfolio optimization, modern fat tails and tail risk methods of risk management, and portfolio optimization
- Integration of theory, methods, and computation
- Separate study options in computing and risk management as critical focal points in today’s markets
The MS-CFRM is a MS degree program offered by the Department of Applied Mathematics (AMATH) within the College of Arts and Sciences. It is offered with 3 options: a 42 credit General program option, a 54 credit Risk Management option with extended internship, and a 54 credit Computing option with extended internship. As with other MS and PhD degrees at the University of Washington, the MS-CFRM degree is awarded by the University of Washington Graduate School.