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MBA in Artificial Intelligence and Data Science

MBA in Artificial Intelligence & Data Science – TAPMI

MBA – Artificial Intelligence and Data Science (AI & DS)

 

Value Creation through Next-Generation Learning

Rapid developments in Artificial Intelligence (AI) and Data Science (DS) are fundamentally reshaping industry sectors, business models, and fueling innovation and the workplace environment.  There is a growing demand for AI and DS professionals to manage this change effectively and lead them with confidence.

TAPMI, in collaboration with the Manipal School of Information Science, has designed an innovative MBA program in AI and Data Science to address this need. A futuristic new age cutting-edge program that combines business management concepts with AI and Data Science techniques to prepare students for the future challenges in the corporate world. The program merges advanced technical skills with strategic business acumen and knowledge. It prepares the students to lead and manage AI-driven digital transformations in IT or non-IT firms. Unlike a Master’s degree program in Technology or M.S. in AI and Data Science or MSc in Machine Learning and Data Science, the MBA in AI/DS program offers an exposure to an ideal mix of business acumen armed with technical know-how.

 

Holistic and Cutting-Edge Curriculum

The program features a unique, multi-dimensional curriculum, offering a deep dive into business management essentials such as Marketing, Finance, Human Resources, Strategy, International Business, Information Technology, and Supply Chain & Operations, while also equipping students with in-depth expertise in AI, Machine Learning, Deep Learning, and Data Science.

The curriculum focuses on developing and deploying AI and Machine Learning models. It gives students practical skills to create solutions, bridging the gap between technology and real-world business applications.

 

Career Pathways

With a curriculum that balances business strategy with technical expertise, TAPMI’s MBA in AI and DS is the gateway to a successful career in one of the most exciting and fast-growing fields today.

Graduates of the MBA in AI and Data Science will be well-positioned for a wide range of high-demand roles in IT & Telecom, Banking, Finance & Fintech, Retail, Healthcare, Manufacturing, Business & IT Consulting, Energy, Education & EdTech, Media & Entertainment, Agriculture & AgriTech domains.

Opportunities include positions such as Business Analyst, Data Science Manager, AI Product Manager, Research Manager, and AI/ML Solutions Manager. The knowledge gained in this program allows graduates to step into management positions in AI-centric or non-AI-centric industries and drive innovation and transformation through a data-driven decision-making philosophy.

Project-Based Learning

Concurrently running projects will be facilitated by faculties (TAPMI and MSIS) and executed by students in terms two and three. Students will engage in projects that simulate real-world industry scenarios throughout their MBA journey.

The fourth term will be dedicated to internships across various industry verticals, allowing students to apply their knowledge in different business environments and contexts. These provide invaluable first-hand experience, helping students understand how AI and DS transform businesses globally.

Applied learning is at the heart of this program. Students will work with multiple tools such as Python, R, Tableau, Power BI, and many more to. Using cloud platforms such as Microsoft Azure, Amazon Web Services, and Google Cloud Platform, the program ensures that students are well-versed in the latest technologies driving AI and DS innovation.

 

Enhanced Industry Interface

The program’s structure ensures that students are constantly engaged with industry professionals. Students immerse themselves in an industry-driven live project in their fourth term, working on functional / cross-functional and operational challenges leading organizations and startups face, further enhancing their industry readiness.

TAPMI also encourages students to participate in various Hackathons, B-school competitions and Research Conferences, offering them an opportunity to network and stay up-to-date with the latest developments in this domain.

 

Desired Participant Profile

This MBA program is ideal for fresh engineers enthusiastic about the intersection of technology and business. Applicants should have a bachelor’s degree in AI/Data Science/Analytics/ML/IS/IT. Blending technical expertise with business domain knowledge is key to success in this program.

 

T A PAI MANAGEMENT INSTITUTE, MANIPAL

REVISED PROGRAME STRUCTURE FOR MBA (AI & DS) PROGRAMME 2025-2027

Term I
SL. No. Course Name Credit
1 Basics of Accounting 1
2 Learning through Alternative Pedagogies 1
3 Excel Basics 1
4 Managerial Statistics 3
5 Economics for Managers 3
6 Managerial Communication 3
7 Financial Accounting 3
8 IT for Business 3
9 Probability and Statistics 3
10 Data Science Fundamentals 3
11 Data Visualization 3
12 Comprehensive Test - I 1
TOTAL CREDITS 28

 

Term II
SL. No. Course Name Credit
1 Marketing Management 3
2 Organization Behavior 3
3 Financial Management 3
4 Machine Learning 3
5 Data Engineering 3
6 Big Data Analytics 3
7 Legal Aspects of Business 2
8 Management Accounting 2
9 CRP 3
10 Comprehensive Test - II 1
TOTAL CREDITS 26

 

Term III
SL. No. Course Name Credit
1 Operations Management 3
2 AI for Management-I 2
3 Strategic Management 3
4 Database Management Systems 3
5 Deep Learning 3
6 Human Resources Management 2
7 Business Research Methods 3
8 Elective I – “AI & ML on Cloud” or “Digital Transformation & Business Automation” 3
9 CRP 3
10 Integrative Assessment 1
TOTAL CREDITS 26

 

Term IV
SL. No. Course Name Credit
1 Industry Internship 15
TOTAL CREDITS 15

 

Term V
SL. No. Course Name Credit
1 Natural Language Processing 3
2 AI for Management-II 2
3 Cyber Security 3
4 Generative AI 3
5 Cloud Computing for Business 2
6 Elective II – “Advanced Marketing Analytics and Research” or “IT Project Management” 3
7 Sustainability, Responsibility and Managerial Ethics 2
TOTAL CREDITS 18

 

Term VI
Sl. No. Course Name Credit
1 Business Leadership 2
2 Society, Environment, Values & Ethics 4
4 Strategy Simulation 4
TOTAL CREDITS 10

 

List of Electives:
SI. No. Course Name Credits
1 AI & ML on Cloud 3
2 Digital Transformation & Business Automation 3
3 Advanced Marketing Analytics and Research 3
4 IT Project Management 3
TOTAL CREDITS 12

 

 

The MBA – AI & Data Science program at TAPMI is a specialised, industry-aligned program designed to build expertise in AI and Data Science.  The unique aspects of the program are as follows: 

 

  • A unique program designed and delivered by TA Pai Management Institute (TAPMI) and Manipal School of Information Science (MSIS). Established in 1981, TAPMI has been a pioneer in management education in India. TAPMI is one of the select institutes in India to be accredited by AACSB and AMBA. MSIS was started in 1998 with unique industry-focused, postgraduate technology programs. The MBA AI-DS programs leverages core strengths of each institute, offering students a blend of expertise. The curriculum combines core MBA disciplines, such as Marketing, Finance, Strategy, HR, Operations, with fundamentals and applications of AI and Data Science.

 

  • A unique six-month Internship built into the program, providing an opportunity to work on real-world business problems in the industry across various sectors.

 

  • Concurrently running projects in Terms 2 and 3, providing students with hands-on experience. The Concurrent Running Projects provide students with hands-on experience in applying Machine Learning, Data Engineering, Analytics, Natural Language Processing, and Deep Learning concepts to address real-world business problems. Each project challenges students to design and implement multiple models, perform comparative analysis, and evaluate solutions based on accuracy, interpretability, and business relevance. Through this experiential learning approach, students develop practical skills in building data-driven solutions, making informed decisions, and bridging the gap between AI technology and business strategy.

 

  • The state-of-the-art TAPMI Analytics Lab and AI/ML Lab at MSIS feature multiple terminals, offering direct access to cloud computing platforms and data science tools to build and test AI models.