MBA in Artificial Intelligence and Data Science

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

Value Creation through Next-Generation Learning

In today’s rapidly advancing and evolving digital landscape, businesses across all industries want to stay ahead of the curve by embracing Artificial Intelligence (AI) and Data Science to maintain a significant competitive edge. This growing demand for AI and DS professionals is reshaping industries, fueling innovation, and driving change. TAPMI (70%), in collaboration with the Manipal School of Information Science (30%), 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 methodologies and techniques to prepare prospective students for the future challenges and help them gain better professional positions and excel in the corporate world. The program merges advanced technical skill sets with strategic business acumen and knowledge. Prepares the incoming students to lead and manage AI-driven digital transformations in IT or non-IT firms. This is not a Master’s degree program in Technology or M.S. in AI and Data Science, but an MBA degree program that is deeply thought through and one of its kind being offered in India.

 

Career Pathways

The MBA in AI and Data Science is not just about gaining technical expertise – it is about transforming careers and shaping the future of business through data-driven strategies and innovations. The program prepares students to lead the AI revolution, merging technical knowledge with business leadership to solve complex real-world challenges. With first-hand experience, mentorship from industry experts, and 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 Customer Insights Manager, Marketing Analytics Manager, Fintech Data Strategist, Healthcare AI Consultant, AI Solutions Architect, AI Implementation Manager, Data Science Manager, AI/ML Product Manager, Supply Chain Optimization Manager, Manufacturing AI Solutions Manager, Business Analytics Lead, AI & ML Specialist, Data/AI Strategy or Technology or Cloud Consultant, Data Scientist or Analyst, AI Business Analyst etc. 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 an in-detail data-driven decision-making philosophy.

Project Based Learning

Students will engage in projects that simulate real-world industry scenarios throughout their journey. The fifth and sixth terms will be dedicated to summer internships across various industry verticals, allowing students to apply their knowledge in different business environments and contexts. These internships provide invaluable first-hand experience, helping students understand how AI and DS transform businesses globally. Moreover, third and fourth terms will be dedicated to research-based projects for students who want to go in Market Research, or Financial Research roles.

Applied learning is at the heart of this program. Students will work with multiple tools such as Python, R, Tableau, Power BI, Databases, and many more to work on business use cases and technology-driven challenges. Using 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. Focus will also be on learning multiple functional domains and how to take data-driven business decisions across the verticals. Several laboratories will be made available to the students via MSIS and TAPMI. These labs will host multiple high end hardware and enterprise grade cutting-edge software tools.

 

Enhanced Industry Interface

The program’s structure ensures that students are constantly engaged with industry professionals. Students immerse themselves in industry-driven projects in the fifth and sixth terms, working on functional and operational challenges leading organizations and startups face. Additionally, students participate in innovative research projects guided by top professors and industry leaders, further deepening their expertise.

TAPMI’s and Manipal Academy of Higher Education (MAHE)’s close ties with Microsoft will bring AI and DS business solutions into the classroom, giving students exclusive access to industry-leading technologies and frameworks. In terms five and six, students will immerse themselves in industry with live functional or cross-functional projects, further enhancing their industry readiness.

As part of the program, students will have the chance to attend industry-academia conclaves to interact directly with senior management from various sectors. These events allow students to network with professionals and gain insights into the evolving landscape of AI and DS. TAPMI also encourages students to participate as volunteers at various in-house or outside International Research Conferences, offering them a global perspective on the latest developments in this cutting-edge domain. Students will work on enterprise grade datasets and not fictitious or toy datasets. There will be multiple Business Management Domain-Enhancement seminars at Manipal campus. Moreover, TAPMI Manipal will be home to a Centre of Excellence for Artificial Intelligence and Data Science driving innovation and growth.

 

Desired Participant Profile

This MBA program is ideal for industry professionals enthusiastic about the intersection of technology and business. Applicants should have a bachelor’s degree and 2-3 years of industry experience, preferably in the AI or Data Science space. The program is also well-suited for individuals with a strong interest in AI and Data Science, even if their prior exposure to the Technical and Business Analytics domain is limited. Blending technical expertise with strategic thinking is key to success in this program.

Holistic and Cutting-Edge Curriculum

This two-year MBA in AI and Data Science is not just another business degree but a comprehensive learning journey that empowers students with the tools, techniques, and strategic insights to lead in the AI-powered business world. The program features a unique, multi-dimensional curriculum, offering a deep dive into Business Management essentials such as Marketing, Finance, Human Resource, Strategy, International Business, Information Technology, and Supply Chain & Operations while also equipping students with the in-depth expertise in AI, Machine Learning, Deep Learning, Business Analytics, and Data Science.

Since inception, the program will emphasize both Business and Technology. Students are introduced to Core Business Management principles, which will lay the strong foundation for more enhanced AI and DS concepts later in the program. The curriculum focuses on developing and deploying AI and Machine Learning models. It gives students clear practical skills to create and commercialize solutions, bridging the gap between technology and real-world business applications.

 

TERM 1
Course Credits
Basics of Accounting (AEF) 1
Excel Basics (ODS) 1
Learning through Alternative Pedagogies (TAPMI) 1
Managerial Statistics (ODS) 3
Economics for Managers (AEF) 3
Managerial Communication (HROBC) 3
Financial Accounting (AEF) 3
IT for Business (ISA) 3
Probability and Statistics (MSIS) 3
Data Science Fundamentals (MSIS) 3
Data Visualization (MSIS) 3
Total Credits 27
TERM 2
Course Credits
Marketing
Management (MKT)
3
Organization Behavior (HROBC) 3
Financial Management (AEF) 3
Machine Learning (MSIS) 3
Data Engineering (MSIS) 3
Big Data Analytics (MSIS) 3
Legal Aspects of Business (AEF) 2
Management Accounting (AEF) 2
CRP (Concurrently Running Project) (TAPMI) 3
Total Credits 25
TERM 3
Course Credits
Operations Management (ODS) 3
Strategic Management (SGM) 3
Database Management
Systems (MSIS)
3
Deep Learning (MSIS) 3
Human Resources Management (HROBC) 2
Business Research Methods (ODS) 3
CRP (Concurrently Running Project) (TAPMI) 3
AI for Management-1 (ISA) 2
Elective 1 (MSIS) 3
Total Credits 25
TERM 4
Course Credits
Business Leadership (HROBC) 2
Natural Language
Processing (MSIS)
3
AI for Management-2 (ISA) 2
Cyber Security (MSIS) 3
Generative AI (MSIS) 3
Cloud Computing for Business (ISA) 2
Sustainability, Responsibility and Managerial Ethics (SRME) (SGM) 2
Elective 2 (TAPMI) 3
Total Credits 20
TERM 5
Course Credits
Industry Internship (MSIS & TAPMI) 7.5
Industry Internship in 5th & 6th term together will carry 15 credits
Total Credits 7.5
TERM 6
Course Credits
Industry Internship (MSIS & TAPMI) 7.5
Society Ethics Values and Attitude (SEVA) (TAPMI) 4
Strategy Simulation (SGM) 4
Industry Internship in 5th & 6th term together will carry 15 credits
Total Credits 15.5
Elective Courses
Course Name Credits
AI & ML on the Cloud (MSIS) 3
Digital Transformation & Business Automation (TAPMI) 3
Block Chain Technology (MSIS) 3
Design & Critical Thinking (TAPMI) 3
Accounting, Economics, and Finance 14
Information Systems and Analytics 12
HR, OB and Communication 10
Operations and Decision Sciences 7
Strategy and General Management 9
Marketing 3
Manipal School of Information Sciences (MSIS) 36
TA Pai Management Institute 14
MSIS & TAPMI 15
TOTAL 120