

Mahe Manipal Online MBA in Data Science



Application Closing soon for Jul 2026 Batch
EMI Starts From: NA
Live Class:Online
Average Salary:₹14.0LPA




Application Closing soon for Jul 2026 Batch
EMI Starts From: NA
Live Class:Online
Average Salary:₹14.0LPAMahe Manipal's Online MBA in Data Science is a cutting-edge 2-year programme designed to fuse executive management skills with technical data science expertise. This specialization addresses the growing demand for leaders who can navigate machine learning, statistical inference, and multivariate analysis within a business context. Approved by the UGC and AICTE, the programme is perfectly suited for working professionals who wish to master tools like R, Python, and SQL while earning a NAAC A++ accredited degree. The curriculum spans from foundational business ethics to advanced capstone projects, ensuring a holistic understanding of data-driven innovation. Graduates are prepared for high-impact roles in sectors such as technology, e-commerce, and finance, where data is the primary driver of value.
Advanced ML Techniques Master machine learning methods and predictive algorithms for solving complex business challenges
Programming Proficiency Gain hands-on experience in R and Python for professional data manipulation and analysis
UGC Entitled Degree Earn a prestigious MBA degree recognized globally for professional and academic advancement
Statistical Inference Develop deep expertise in probability and statistical methods for accurate data interpretation
Data Visualization Skills Learn to create compelling visual narratives using tools like Tableau and Power BI
Database Management Master SQL and modern data storage architectures for efficient organizational data retrieval
Flexible Learning Platform Balance your career with 24/7 access to high quality recorded and live sessions
Capstone Project Integration Apply your learning to solve a real world data science problem for industry readiness
Technical Leadership Skills
Bridge the gap between data science teams and executive leadership with strategic technical insights.
High-Demand Career Path
Qualify for specialized roles in machine learning, AI strategy, and advanced data consultancy.
Data-Driven Innovation
Learn to identify opportunities for business growth through advanced analytics and algorithmic solutions.
Global Networking Value
Join a community of data professionals and alumni from one of India's top universities.
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Candidates must have a 10 + 2 + 3-year bachelor’s degree from a recognized university/institution or an equivalent qualification as recognized by the Association of Indian Universities.



Total 4 semester
INR 73,000 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 2,92,000
*Inclusive of all taxes
EMI starting at
INR 12,167 / Month
*Terms & Conditions apply
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| S.No | Credit | Subject |
|---|---|---|
| 1 | . | Managing People & Organisations |
| 2 | . | Financial Reporting & Statement Analysis |
| 3 | . | Managerial Economics |
| 4 | . | Business Statistics |
| 5 | . | Business Communication |
| S.No | Credit | Subject |
|---|---|---|
| 1 | . | Marketing Management |
| 2 | . | Financial Management |
| 3 | . | Strategic Management |
| 4 | . | IT for Business |
| 5 | . | Business Leadership |
| 6 | . | Research Methodology |
Yes, MAHE Manipal University's Online MBA in Data Science is UGC-approved and recognized across India for data science, AI roles, and MBA-equivalent.
Graduates from recognized universities can apply for MAHE Manipal University Online MBA in Data Science. IT and data professionals find this program suitable.
MAHE Manipal University offers competitive fees with flexible payment options for Online MBA Data Science. Contact CourseConnect for detailed fee structure and plans.
Apply through CourseConnect for expert admission assistance. Our counselors guide you through application, eligibility verification, document upload, fee payment, and complete MAHE enrollment.
Graduates can work as Data Scientists, ML Engineers, AI Managers, Data Analytics Managers, Chief Data Officers in IT companies, startups, and MNCs.