College of Business and Technology
Data Analytics and Engineering (MS)
This program aims to empower students with skills and knowledge for proficiently handling qualitative and quantitative datasets. Students will develop the capability to extract meaningful insights, create data products, engineer robust data solutions, and formulate data-driven strategies.
| Code | Title | Credits |
|---|---|---|
| CST 500 | Enterprise Architecture, Strategic and Technical Research | 3 |
| CST 510 | Project Management, Systems Development, and Risk | 3 |
| CST 520 | Database Systems | 3 |
| CST 530 | Artificial Intelligence, High Performance Compute, and Ethical Considerations | 3 |
| CST 540 | Cloud Architecture and Infrastructure | 3 |
| CST 615 | Introduction to Data Engineering | 3 |
| CST 630 | Data Engineering Solutions Applications | 3 |
| CST 655 | Big Data and Data Mining | 3 |
| CST 670 | Predictive Analytics | 3 |
| CST 685 | Empirical Methods and Data Visualization | 3 |
| Total Credits | 30 | |