College of Business and Technology
Business Analytics (MS)
The Master of Science in Business Analytics program prepares students to harness the power of data to drive strategic business decisions. With a focus on cutting-edge tools and techniques, this program equips graduates with the skills to manage and analyze large-scale data, automate business processes, and apply advanced analytics methodologies to real-world problems. Emphasizing emerging technologies such as AI, machine learning, and IoT, students will develop a future-focused approach to business analytics, positioning themselves as leaders in data-driven organizations. This program combines hands-on experience with industry-standard tools, ensuring students are prepared for the dynamic and evolving landscape of business analytics.
| Code | Title | Credits |
|---|---|---|
| DAT 517 | Machine Learning for Business Analytics | 3 |
| DAT 527 | Business Analytics and Cloud Platforms | 3 |
| DAT 537 | Business Process Automation and Optimization | 3 |
| DAT 557 | Data Mining and Text Analytics | 3 |
| DAT 560 | Prescriptive Analytics and Optimization Techniques | 3 |
| DAT 565 | Predictive Analytics and Programming | 3 |
| DAT 570 | Data Governance, Ethics, and Security | 3 |
| DAT 575 | Real-Time Data Analytics and IoT | 3 |
| DAT 580 | AI-Driven Business Strategies | 3 |
| DAT 590 | Advanced-Data Analytics and Visualization Tools | 3 |
| Total Credits | 30 | |