About this Program
Possessing quantitative and computational skills is a major advantage in many areas of the financial industry. In this program we’ll study the key mathematical, statistical and econometric foundations of modern computational finance. You’ll gain a thorough understanding of the concepts behind the major theories of portfolio optimization and risk management, probability and statistics, and financial modeling. You’ll also be prepared for more advanced work or study in the field.
Professionals, post-graduates and undergraduates in business, economics or related fields who want to enhance their quantitative finance skills.
WHAT YOU’LL LEARN
- Fundamental mathematical methods for studying computational finance, including calculus and multivariable calculus, linear algebra, and constrained and unconstrained optimization
- Foundational probability and statistical tools and theories
- Data analysis and econometric modeling
GET HANDS-ON EXPERIENCE
You can choose to take an optional fourth course (R Programming for Computational Finance) that includes the performance of statistical and financial modeling using open source R programming. This course is not required to complete the certificate.
PREPARE FOR CERTIFICATION
This program offers partial preparation for the Financial Risk Manager certification by the Global Association of Risk Professionals and the Chartered Financial Analyst certification by the CFA Institute.
Earn Credit Toward Your Bachelor’s Degree
By completing this certificate program, you can earn credit toward your bachelor’s degree. Because policies vary, check with your undergraduate program to make sure the credits will apply.
Visit the Computational Finance & Risk Management program website for more details and to sign up for email updates.