🎓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.
My name is Franco Carlos, and I am currently a graduate student 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. I am also involved in a few organizations outside of the classroom as well.
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 so far:
Investment Science
Options and Other Derivatives
Financial Data Access & Analysis
Financial Data Science
Monte Carlo Methods in Finance
Risk in Financial Institutions
Asset Allocation and Portfolio Management
Ethics in the Finance Profession
Machine Learning for Finance
Advanced Trading Systems
Endowment and Institutional Investment Management
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
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