Studies indicate that automation will remove 85 million jobs within the next decade yet AI and data science technologies will generate 97 million new positions. All industries have to find innovative business approaches to stay competitive during this period of rapid industry transformation. Professionals with strong business management and technology skills are in more demand as industries change. The AI and Data Science MBA program at TAPMI combines traditional business education with practical experience in cutting-edge technology to equip students for this fast-paced world.
TAPMI MBA Iin AI&DS 2025-27 Admissions Open
Why is TAPMI's Curriculum Your Gateway to Success?
1. Multi-Dimensional Curriculum
The AI and Data Science MBA program at TAPMI consists of five core pillars that include business management knowledge, AI and DS fundamentals, industrial sector exposure, and practical hands-on experiences through internships and capstone projects. The curriculum contains the following main elements:
|
Dimension |
Focus Area |
Courses Offered |
|
Business Management |
Multi-disciplinary business education including finance, marketing, HR, strategy, and operations. |
Marketing, Finance, HR, Strategy, Operations, Managerial Communication |
|
AI and Data Science |
Technical training in AI, machine learning, big data analytics, and cloud computing. |
Machine Learning, Data Engineering, Deep Learning, AI for Management, Data Visualization |
|
Summer Internship Projects |
Hands-on experience in industry verticals across AI, DS, and business functions. |
Internship in Business Verticals (Term 4) |
|
Capstone Projects |
Research-driven projects across various business and technological domains. |
Industry-based Research Projects (Terms 3 & 4) |
|
Industry Projects |
Immersion in real-world industry problems through collaboration with businesses. |
Industry Projects in Terms 5 & 6 |
2. Focus on Real-World Business Applications
The MBA in AI and Data Science program at TAPMI has a strong emphasis on applied learning, connecting theoretical concepts with practical commercial solutions. Through the program's combination of practical technical expertise and a strong business basis, students can acquire critical problem-solving abilities. Students apply principles through business case studies. They work with technologies like Python, R, Tableau, and Power BI in technology labs. This helps gain experience in the industry through projects and internships.
3. Industry-Specific Focus on AI & Data Science
The Manipal School of Information Science (MSIS) and TAPMI together offer the program, which gives students specialized exposure to DS, AI, and technological tools. The curriculum integrates the most recent technologies, methods, and trends in the industry while emphasizing both theoretical and practical understanding in data science and artificial intelligence. The key technical learning areas are:
|
Topic |
Tools & Technologies |
|
Data Science Fundamentals |
Python, R, MongoDB, MySQL, Tableau, Power BI |
|
Machine Learning |
Amazon Web Services (AWS), Microsoft Azure, Google Cloud |
|
Big Data Analytics |
Hadoop, Apache Ecosystem Components, MongoDB |
|
AI and Deep Learning |
TensorFlow, Keras, PyTorch |
|
Cloud Computing |
Google Cloud, AWS, Microsoft Azure |
4. Industry-Ready Through Internships & Projects
Students gain industry experience through a substantial focus on internships and capstone projects that occur during early stages of their program. Students overcome theoretical-practical divides through applied data science model development alongside artificial intelligence solutions for real organizations. The main educational opportunities include:
-
Summer Internships: Term 4 industry internships across a range of business sectors provide students a firsthand look at how businesses using AI and data science operate on a daily basis.
-
Capstone Projects: Students work with industry partners to create and execute AI-based solutions through research-based projects in Terms 3 and 4.
-
Industry Projects: During Terms 5 and 6, the program incorporates immersion projects to expose students to challenging issues in actual business settings.
5. Complete Tech & Analytics Tools Coverage
TAPMI's MBA program in AI and Data Science provides its graduates with a complete set of tools which includes different technologies and analytics platforms crucial for data-oriented choices. The program supports new graduates in their future careers by providing complete knowledge of innovative AI and data science tools.
|
Category |
Technologies/Tools Covered |
|
Programming Languages |
Python, R |
|
Data Visualization |
Power BI, Tableau |
|
Data Management Systems |
MongoDB, MySQL, Oracle |
|
Cloud Platforms & Big Data |
Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Apache Ecosystem Components |
|
Social Media Analytics |
Social Media Analytics Tools |
Conclusion
The MBA in AI and Data Science curriculum at TAPMI facilitates instruction in data science through technical subjects complemented by business management education and real-world experience. Through its innovative coursework, students acquire fundamental capabilities needed to handle data-driven undertakings while resolving complex business problems. This builds their success potential in AI and data science. Graduates gain skills for innovation and good decision-making in the rapidly transforming IT industry which enables them to add value across multiple businesses.
Stay informed, Stay ahead and Stay inspired with MBA Rendezvous.