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.
Requirements for the Dual Business Administration (MBA)/Business Analytics (MS)
See below for full program: Business Administration (MBA) Business Analytics (MS)
Students in this dual MBA/MS must complete the requirements below. Since both degrees are awarded simultaneously, all requirements in both programs must be completed in order to receive either degree. Students are encouraged to contact appropriate advisors in each program for further details.
| 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 5385 | Strategic Management | 3 |
| 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 5320 | Manufacturing and Service Operations | 3 |
| MIS 5355 | Management of Information Systems | 3 |
| MKT 5310 | Seminar in Marketing Strategy | 3 |
| MBA Subtotal | 36 | |
| Required MS Business Analytics 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 |
| MIS 5394 | Business Analytics Practicum | 3 |
| STA 5300 | Statistical Methods | 3 |
| STA 5384 | Multivariate Statistical Methods | 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 | ||
| Causal Inference and Research Design | ||
| Customer Analytics | ||
| Statistical Machine Learning | ||
| Time Series Analysis | ||
| Computational Statistical Methods | ||
| SAS Programming for Data Analytics | ||
| Methods in Data Mining and Management | ||
| MS Business Analytics Subtotal | 36 | |
| Total Hours | 72 | |
| Code | Title | Hours |
|---|---|---|
| DUAL DEGREE REQUIREMENTS | ||
| MBA TOTAL HOURS | 53 | |
| Credits completed for the MBA Degree | 36 | |
| Credits shared from the MS Degree | 17 | |
| MS TOTAL HOURS | 36 | |
| Credits completed for the MS Degree | 36 | |
| Credits shared from MBA Degree | 0 | |
| TOTAL NON-REPEATING HOURS | 72 | |