Step into the world of data-driven decision making with a curriculum that blends analytics, AI, and business intelligence. Gain hands-on expertise in predictive modeling, data visualization, and machine learning tools. Work on live projects that bridge classroom learning with real-world industry challenges. Graduate as a future-ready analyst equipped to transform raw data into strategic business insights.
Transform data into insights to support strategic business decisions.
Advise organizations on how to leverage analytics effectively.
Lead analytics teams and manage enterprise data initiatives.
Analyze consumer and competitor data to shape market strategies.
The curriculum is structured into four semesters, gradually moving from foundational courses to advanced specialization and a capstone project.
| Principles and Practices of Management |
| Managerial Economics |
| Marketing Management |
| Management Accounting |
| Business Communication |
| Introduction to Business Analytics |
| Programming Fundamentals |
| Research Methodology |
| Quantitative Methods for Management |
| Strategic Managemen |
| Human Resource Management |
| Business Law |
| Statistical Methods for Business Analytics |
| Introduction to Python for Data Analysis |
| Big Data Analytics |
| Optimization Techniques for Business Decisions |
| Block Chain |
| Operations Analytics |
| Data Governance and Quality Management |
| Business Simulation |
| Decision Making |
| Capstone Project |