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.