Sample Plan of Study for Dual Degree Master of Science in Finance and Master of Science in Business Analytics
| Code | Title | Credits |
|---|---|---|
| Required Background Courses | ||
| Applied Business Statistics 1 | ||
| Python Fundamentals 1 | ||
| Principles of Finance | ||
| MSF Courses | ||
| FNCE 6530 | Corporate Finance | 3 |
| FNCE 6540 | Investment Analysis | 3 |
| FNCE 6545 | Portfolio Management | 3 |
| FNCE 6560 | Global Financial Markets and Institutions | 3 |
| FNCE 6565 | Derivative Securities | 3 |
| FNCE 6580 | Financial Risk Management | 3 |
| FNCE 6595 | Research Methods in Finance | 3 |
| MSBA Courses | ||
| DATA 6500 | Leading with Analytics | 3 |
| DATA 6505 | Data Munging in Python | 3 |
| DATA 6510 | Data Warehousing and Visualization | 3 |
| DATA 6999 | Capstone: Business Analytics Applications | 3 |
| Select any three from the following: | 9 | |
| Analytics Consulting and Strategy | ||
| Statistics and Forecasting | ||
| Business Intelligence and Data Storytelling | ||
| Data Science and MLOps | ||
| Big Data Management and Data Ops | ||
| Elective | ||
| Any 6000-level Dolan graduate course | 3 | |
| Total Credits | 45 | |
*Additional credits may be required if student does not meet required background.
- 1
Courses cannot be waived. Either or both may be waived with successful completion of an online test-out exam.
MSF candidates, in order to obtain the 30 credits required by that program, will use MSBA courses to fill the 9 elective credits required of the MSBA degree.