Quantitative Finance, MSF

The quantitative finance MSF program is designed to prepare students for careers requiring analytical rigor in the financial industry. The curriculum for this track integrates economics, mathematics, statistics, and computer science with the theories and applications of finance. Students will study advanced modeling techniques and data analytics applied to financial markets. The rigorous program combines in-depth study of quantitative techniques with practical business problem solving. Elective courses will draw content from computer science, econometrics, and mathematics. Courses include quantitative portfolio management, computational methods in finance, foundations of artificial intelligence, database management systems, and applied econometrics.

Complete all courses and requirements listed below unless otherwise indicated.

Core Requirements

FINA 6203Investment Analysis3
FINA 6331Corporate Finance3
FINA 6332Fundamentals of Financial Math and Financial Markets3
FINA 6333Data Analytics in Finance3
FINA 6334Empirical Methods in Finance3
FINA 6335Derivatives and Risk Analysis3

Electives

Complete four of the following:12
Foundations of Artificial Intelligence
Database Management Systems
Applied Econometrics
Financial Modeling
International Finance Management
Mergers, Acquisitions, and Private Equity
Valuation and Value Creation
Real Estate Finance and Investment
Portfolio Management
Entrepreneurial Finance and Venture Capital
Derivatives and Fixed-Income Securities
Computational Methods in Finance
Alternative Investments

Program Credit/GPA Requirements

30 total semester hours required
Minimum 3.000 GPA required