Skip to main content

Quantitative Finance

The MBA concentration in quantitative finance allows students to gain a deeper understanding of the theory and practice of quantitative finance. Students pursuing this concentration will take finance classes offered by the nationally ranked Quantitative and Computational Finance (QCF) program.

The QCF program is an intensive, multidisciplinary graduate program with collaboration from Scheller College of Business, H. Milton Stewart School of Industrial & Systems Engineering, and the School of Mathematics. Students will develop quantitative finance skills needed to embark on a successful career in the financial services industry.

Students pursuing a concentration in quantitative finance should complete the required course below and six additional credit hours (two courses) from the following electives.

Required Course

MGT 6785  Practice of Quantitative and Computational Finance (QCF) (3 credit hours)
The course will consist of case studies, visiting lecturers from financial institutions, and student group projects of an advanced nature — all centered around quantitative and computational finance. The group projects deal with applicable problems in areas such as asset management, credit risk, and pricing of derivatives. The course involves significant data analysis using big data sets. The groups will be required to formulate and analyze the project problem, and implement and present their solutions to the problems.

Other Courses
Students must choose two additional courses from below.

MGT 6078  Finance & Investments (3 credit hours)
Acquire analytical tools for sound investment decisions. Explore concepts of risk, return, asset allocation, portfolio theory, and more. Material is mostly quantitative. Examine the changing landscape of investment management and the causes and impacts of the financial crisis. Includes discussion on ethics in investing.

MGT 6081  Derivative Securities (3 credit hours)
Acquire basic working knowledge of how derivatives markets function. Learn various types of derivatives, including swaps, options, forwards, etc. Discuss basic numerical methods and risk management. Discuss why derivatives are used, how they are used, and how they are priced.

MGT 6090  Management of Financial Institutions (3 credit hours)
Introduction to the financial intermediation sector and the various risks that the financial institutions face. Many tools and topics in the course may be relevant to non-financial firms, such as credit risk. Understand tools to manage financial risks within the firm.

MGT 6769  Fixed Income Securities (3 credit hours)
Understand the basic risk-free term structure models and sensitivity measures as well as standard techniques for valuing fixed income securities and credit risk derivatives as well as their shortcomings. Understand the mathematics of bond market: yield, duration, and convexity.

MBA concentrations and immersive tracks are optional. You have the flexibility to take electives in any combination of areas. There is also an immersive track in computational finance.