Dual Master of Business Administration/Master of Science in Business Analytics
Objectives
The dual MBA/MSBA provides the perfect pairing for students to learn data science and hone their leadership skills. The School of Business and the Department of Statistical Science have strengths in these areas that can result in a strong program offering to meet demand from our own graduates, and others across the country.
Admission
Applicants must submit two separate applications – one for the MBA degree and a second application for the MSBA degree. Application materials, such as transcripts, resume, test scores, and letters of recommendation can be shared across applications. Admission decisions are made by the respective Graduate Program Director for their respective program. If approved by both programs, the applicant can pursue the dual degree program. See each program for admissions requirements.
Students in the joint MBA/MSBA will complete 36 MBA Hours and 36 MSBA hours for a total of 72 hours.
| Code | Title | Hours |
|---|---|---|
| Required MBA Courses | ||
| BUS 5401 | Business Frameworks | 4 |
| ACC 5300 | Accounting Tools for Management Decision Making | 3 |
| BUS 5111 | Professional Career Development for First Semester Graduate Students | 1 |
| BUS 5112 | Professional Career Development for Second Semester Graduate Students | 1 |
| BUS 5390 | Management Communication | 3 |
| ECO 5340 | Economic Tools for Management Decision Making | 3 |
| FIN 5360 | Seminar in Corporate Finance | 3 |
| MGT 5310 | Management of Organizational Behavior | 3 |
| MGT 5325 | Leadership in the Global Marketplace | 3 |
| MGT 5385 | Strategic Management | 3 |
| MGT 5320 | Manufacturing and Service Operations | 3 |
| MIS 5355 | Management of Information Systems | 3 |
| MKT 5310 | Seminar in Marketing Strategy | 3 |
| Required MSBA Courses | ||
| MIS 5322 | Advanced Python for Analytics | 3 |
| MIS 5340 | Database Management Systems | 3 |
| MIS 5342 | Business Intelligence | 3 |
| MIS 5343 | Seminar in Data Visualization | 3 |
| MIS 5390 | Ethics in Data Analytics | 3 |
| STA 5300 | Statistical Methods | 3 |
| STA 5384 | Multivariate Statistical Methods | 3 |
| STA 5V85 | Practice in Statistics | 3 |
| STA 5303 | Applied Regression Analysis | 3 |
| Select three courses from the following | 9 | |
| Advanced Object-Oriented Development | ||
| Cloud Computing | ||
| Econometric Theory and Methods | ||
| Data Science I | ||
| Data Science II | ||
ECO 6V98 | Advanced Causal Inference | |
| Causal Inference and Research Design | ||
| Customer Analytics | ||
| Statistical Machine Learning | ||
| Time Series Analysis | ||
| Computational Statistical Methods | ||
STA 5330 | SAS Programming for Data Analytics | |
| Methods in Data Mining and Management | ||
| Total Hours | 72 | |