Catalog 2024-2025

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Master of Science in Finance

The Master of Science in Finance is designed to increase student’s ability to use mathematical, accounting and statistical data and to suggest and implement financial management decisions that create cash flows and/or firm value. Corporate financial theory is explored through valuation models and risk and return models. The STEM-certified MS in Finance has two tracks: the Financial Analysis track, which supports the CFA(r) curriculum, and the Quantitative Analysis track, which focuses on data analytics and interpretation. Both tracks, with 16 hours of electives, allow students to develop a specialization in an area of their choice. 

Degree Requirements

Business Essentials courses: (10 credit hours)

ACC 500Essentials of Financial Accounting

2
ECO 500Microeconomics for Managers

2
or
ECO 501Macroeconomics for Managers

2
FIN 500Foundations of Finance

2
QMB 500Statistics for Decision Makers

4

All Business Essentials requirements must be met prior to taking the MS-FIN core. Please see the Business Essentials section for more information.

Required MS-FIN courses: (16 credit hours)

FIN 640Investment Portfolio Management

4
FIN 626Financial Analysis for Management

4
QMB 612Decision Modeling and Analysis

4
Select one of the following:
FIN 645Advanced Portfolio Management

4
(Financial Analysis Track)
ITM 615Data Mining for Business

4
(Quantitative Finance Track)

Elective courses: (16 credit hours)

Note: At least 2 of the elective courses must be FIN courses.
ACC 611Mergers and Acquisitions

4
ACC 625Advanced Accounting Analytics

4
ACC 657Advanced Financial Statement Analysis and Valuation

4
ECO 611Econometrics

4
FIN 616Corporate Finance and Valuation

4
FIN 617Analytics in Finance

4
FIN 630International Finance

4
FIN 645Advanced Portfolio Management

4
FIN 650Venture Capital and Alternative Investments

4
FIN 660Applied Corporate Finance

4
FIN 670Financial Markets and Derivatives

4
ITM 615Data Mining for Business

4
QMB 660Advanced Forecasting and Predictive Analytics

4

Total Credit Hours: 32-42