The Master of Science in Computational Finance and Risk Management (MS-CF&RM) is designed to address the demand in the financial services industry for advanced quantitative and computational finance skills, and next generation risk management competencies. Individuals who understand how to manage assets to enhance investment returns while controlling risk are required throughout the world of financial services, as are individuals who understand and can effectively implement financial risk management methods.
For professionals with strong mathematical and quantitative skills, the MS-CF&RM degree program provides exciting new opportunities for advancement in a current or new 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 pathways in computational finance and risk management as critical focal points in today’s markets
The MS-CF&RM is a Professional 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-CF&RM degree is awarded by the the Graduate School. Registration and operations for the MS-CF&RM program are handled by the University of Washington Professional and Continuing Education (PCE) organization.