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 MS in Finance has two tracks: the Financial Analysis track, which is well suited to the CFA(r) curriculum, and the Quantitative Analysis track, which focuses more on data analytics and interpretation. Both tracks are flexible, with 16 hours of electives, so students can develop a specialization in an area of their choice.
Degree Requirements
Business Essentials courses: (12 credit hours)
ACC 500 | Essentials of Accounting | 2 |
ECO 500 | Foundational Economics for Managers | 4 |
QMB 500 | Statistics for Decision Makers | 4 |
FIN 500 | Foundations of Finance | 2 |
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 640 | Investment Portfolio Management | 4 |
QMB 612 | Decision Modeling and Analysis | 4 |
FIN 626 | Financial Analysis for Management | 4 |
| Select one of the following: | |
FIN 645 | Advanced Portfolio Management | 4 |
| (Financial Analysis Track) | |
ITM 615 | Data Mining for Business | 4 |
| (Quantitative Finance Track) | |
Elective courses: (16 credit hours)
Note: At least 2 of the elective courses must be FIN courses.
FIN 616 | Corporate Finance and Valuation | 4 |
FIN 630 | International Finance | 4 |
FIN 645 | Advanced Portfolio Management | 4 |
FIN 650 | Venture Capital and Alternative Investments | 4 |
FIN 660 | Applied Corporate Finance | 4 |
FIN 670 | Financial Markets and Derivatives | 4 |
ITM 615 | Data Mining for Business | 4 |
QMB 660 | Advanced Business Forecasting | 4 |
ACC 625 | Accounting Research and Analytics | 4 |
ACC 657 | Financial Reporting and Analysis | 4 |
ECO 611 | Methods in Regression Analysis | 4 |
Total Credit Hours: 32-44