🎓Master of Science in Computational Finance & Risk Management

This article is meant to break down UW's MS-CFRM, with some commentary on my experience through the program.

I enrolled in the University of Washington’s Master of Science in Computational Finance & Risk Management (UW MS-CFRM), as a member of the 2023 cohort. The program is under the Department of Applied Mathematics, housed in Lewis Hall.

The CFRM program at the University of Washington addresses the demand in the financial services industry for advanced quantitative computational finance competencies and next-generation risk management skills. CFRM provides students with a rigorous mathematical and statistical foundation as well as extensive instruction in the use of open source R-programming. The CFRM program at the University of Washington addresses the demand in the financial services industry for advanced quantitative computational finance competencies and next-generation risk management skills. CFRM provides students with a rigorous mathematical and statistical foundation as well as extensive instruction in the use of open source R-programming.

I've taken the following courses in the program:

501: Investment Science
502: Financial Data Science
503: Asset Allocation and Portfolio Management
504: Options and Other Derivatives
505: Monte Carlo Methods in Finance
506: Financial Data Access & Analysis
509: Ethics in the Finance Profession
521: Machine Learning for Finance
523: Advanced Trading Systems
532: Endowment and Institutional Investment Management
540: Risk in Financial Institutions
542: Credit Risk Management

As part of my coursework and program, I've applied and reinforced my skills in the following programming languages:

Python
R
Excel VBA
SQL

NextIndependent Study

Last updated 1 month ago