

MBA in Analytics & Data Science





Application Closing soon for Jan 2026 Batch
EMI Starts From: ₹5000/-
Live Class:Online
Average Salary:₹12.0LPA






Application Closing soon for Jan 2026 Batch
EMI Starts From: ₹5000/-
Live Class:Online
Average Salary:₹12.0LPAThe Online MBA in Analytics & Data Science from Sikkim Manipal University is a cutting-edge, career-focused program for graduates and working professionals who want to lead in the age of big data. The curriculum blends rigorous business management principles with hands-on training in analytics, statistics, machine learning, data visualization, and data-driven strategy. Students gain experience with industry-standard tools and real-world business cases, enabling them to turn raw data into actionable insights for strategic decision-making.
Whether you want to work in finance, retail, healthcare, IT, consulting, or startups, this program gives you the in-demand skills to launch or accelerate your analytics and data science career. SMU’s 100% online model offers flexibility, peer networking, and live industry interaction, preparing you for high-growth roles in India and beyond.
Master Data-Driven Business Strategy Learn to drive profitability and efficiency using advanced analytics for decision-making across business functions.
Build In-Demand Technical & Analytical Skills: Gain proficiency in statistics, data mining, machine learning, data visualization, and cloud analytics—skills valued across all modern industries.
Real-World, Hands-On Experience Work on capstone projects and live business cases that bridge the gap between theory and real-world application.
Career Growth & Global Mobility Accelerate your career in high-paying roles such as business analyst, data scientist, analytics manager, or consultant—with robust placement support and industry connections.

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| S.No | Credit | Subject |
|---|---|---|
| 1 | 1 | Principles of Management |
| 2 | 2 | Managerial Economics |
| 3 | 3 | Financial & Management Accounting |
| 4 | 4 | Quantitative Methods for Business |
| 5 | 5 | Business Communication |
| 6 | 6 | Introduction to Business Analytics |
| S.No | Credit | Subject |
|---|---|---|
| 1 | 1 | Statistical Analysis for Decision Making |
| 2 | 2 | Marketing Management |
| 3 | 3 | Database Management Systems |
| 4 | 4 | Data Mining & Warehousing |
| 5 | 5 | Business Intelligence |
| 6 | 6 | Programming for Data Science (Python/R) |