In ​the Master of Science in Computational Finance, students acquire the ability to understand existing financial models in a quantitative and mathematical way. Graduates will be able to apply these quantitative tools to solve complex problems in the areas of portfolio management, risk management and financial engineering.​  

Offered as a joint degree of the College of Computing and Digital Media and the Kellstadt Graduate School of Business, the program is designed to meet the industry-wide need for financial professionals with exceptional programming skills, as well as in-depth understanding of financial concepts and business language. The MS in Computational Finance is for the student who has earned a bachelor’s degree, or who has earned or is earning an MBA.​​

Taught by faculty members with both industry and academic expertise, this degree will help you to develop skills to:

  • Build a trading engine.
  • Implement financial concepts into computer programs.
  • Develop and use numerical algorithms and analytical techniques.
  • Explore pricing of derivative securities.
  • Understand and analyze simulation of financial systems.

This unique program will prepare you for a career in finance, specifically in portfolio management, risk management and financial engineering. 

Click here for Kellstadt Graduate School of Business admission requirements. 

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