Business Analytics (MS)
Objectives
This degree is intended to prepare students for careers as professional business analysts by:
- Learning the fundamentals of information technology and statistics
- Learning tools to understand and visualize data
- Learning fundamental skills in modeling and analysis of multivariate data
- Learning tools for predictive data analysis and forecasting
- Improving programming skills to the professional level for data analytics
- Learning how to integrate AI into business analytics
- Providing a framework to examine ethical implications of collecting and managing big data.
The MSBA program is a STEM-designated 36 credit-hour degree that can be completed in one calendar year.
Admission
Applicants must have a bachelor’s degree from an accredited university or college. Applicants must present a grade point average that is predictive of success in this program. All applicants will need to demonstrate proof of proficiency in Python and have completed at one course in statistics/QBA. Applicants must adhere to the general admissions requirements for graduate study at Baylor University and also meet the admission requirements of the Master of Science in Business Analytics degree program. Additional admissions requirements can be found under the Business School Admissions.
Requirements for an MS in Business Analytics
| Code | Title | Hours |
|---|---|---|
| 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 5303 | Applied Regression Analysis | 3 |
| STA 5373 | Computational Statistical Methods | 3 |
| STA 5384 | Multivariate Statistical Methods | 3 |
| Select one course from the following | 3 | |
| Business Analytics Practicum | ||
| Internship in Information Systems | ||
| Restricted Electives | ||
| Select 6 hrs from the following: | 6 | |
| Total Hours | 36 | |
Business Analytics Elective Options
| Code | Title | Hours |
|---|---|---|
| ACC 5312 | Data and Analytics in Accounting | 3 |
| ACC 5350 | Advanced Accounting Analytics | 3 |
| ECO 5347 | Econometric Theory and Methods | 3 |
| ECO 5349 | Causal Inference and Research Design | 3 |
| ECO 5351 | Data Science I | 3 |
| ECO 5352 | Data Science II | 3 |
| MIS 5301 | Seminar in Object-Oriented Business Programming | 3 |
| MIS 5344 | Data Visualization and Analysis using Excel | 3 |
| MIS 5348 | Cloud Computing | 3 |
| MKT 5360 | Marketing Analytics | 3 |
| SOC 5314 | Regression Analysis for the Social Sciences | 3 |
| STA 5304 | SAS and SAS Programming for Statistical Analysis | 3 |
| STA 5320 | Predictive Analytics | 3 |
| STA 5350 | Statistical Machine Learning | 3 |
| STA 5361 | Methods in Time Series Analysis | 3 |
| STA 5371 | Methods in Data Mining and Management | 3 |
| STA 5376 | Methods in Biostatistics | 3 |