Next Start Date
September 2019
Learn the essential fundamentals of quantitative finance theory and computational methods. Gain valuable knowledge and skills relating to portfolio optimization, financial data science, quantitative risk management, simulation, machine learning and R programming.
This degree can be completed in the classroom, online or a combination of both.
For more information, see the UW Master's in Computational Finance & Risk Management website.
Examine the mathematical, statistical and econometric principles that underlie the quantitative management of financial investments.
Explore the key mathematical, statistical and econometric foundations of modern computational finance. Study the major concepts and theories of portfolio optimization and risk management.
Learn how to analyze financial data using statistical techniques and leverage the powerful financial data modeling and analysis capabilities of popular programming languages.