Master of Business Administration – Artificial Intelligence and Data Science (MBA-AI &DS)
About the program:
MBA in Artificial Intelligence and Data Science is a unique program jointly offered by T A Pai Management Institute (TAPMI) and Manipal School of Information Science (MSIS). While TAPMI has a legacy in management education for more than four decades, MSIS was started in 1998 with unique industry-focused, postgraduate programs in technology.
The program combines traditional education in business management with advanced training in artificial intelligence, machine learning, and data analytics.
A unique six-month Internship is built into the program, providing an opportunity to work on real-world business problems in the industry across various sectors.
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.
The state-of-the-art TAPMI AI Lab and AI/ML Lab at MSIS-MAHE feature multiple terminals, offering access to Frontier AI Models, Amazon Web Services cloud platform including AWS SageMaker, AWS Bedrock, etc.
Further, faculty with industry experience provide practical training in cloud computing platforms, AI/ML techniques and methodologies.
Industry Relevance:
Organisations across sectors are moving from isolated analytics initiatives to enterprise-wide adoption of AI, machine learning, generative AI, automation, and cloud-based data platforms. Industry therefore needs professionals who can do more than build models: they must identify valuable business problems, translate between technical and managerial teams, evaluate commercial impact, deploy scalable solutions, manage change, and ensure responsible data and AI governance.
TAPMI’s MBA (Artificial Intelligence & Data Science) addresses this need by integrating core management disciplines such as strategy, finance, marketing, operations, human resources, and organizational behaviour—with probability and statistics, data engineering, machine learning, deep learning, natural language processing, generative AI, cybersecurity, visualisation, and cloud computing. Projects, an extended industry internship, laboratory-based learning, industry–academia conclaves, and exposure to tools such as Python, Tableau, Power BI, Amazon Web Services and Microsoft Copilot develop the ability to convert concepts into implementable business solutions.
Graduates are prepared for roles such as Business Analyst, AI Product Manager, Data Scientist, AI/ML Solutions Manager, Analytics Consultant, and Digital Transformation Manager. Their capabilities are relevant to IT and telecom, banking and fintech, consulting, retail, healthcare, manufacturing, energy, education, media, and AgriTech.
By combining technical depth, strategic judgement, leadership, communication, ethics, sustainability, and experiential learning, the program equips graduates to lead AI-enabled transformation in complex environments. It thereby advances TAPMI’s mission of excellence in management education and practice while developing innovative, responsible, industry-ready global leaders and wealth creators.
Ideal Candidate Profile:
The ideal candidate is a quantitatively inclined graduate, preferably with a bachelor’s degree in Artificial Intelligence (AI), Data Science, Analytics, Machine Learning (ML), Information Systems, Information Technology, engineering, computer science, mathematics, statistics, or a related discipline, who wants to combine technical capability with managerial judgement. Fresh graduates and early-career professionals with exposure to analytics, software, consulting, digital products, or technology-enabled business functions would be well suited.
Candidates should demonstrate analytical thinking, comfort with data and quantitative methods, intellectual curiosity, and a willingness to develop hands-on competence in programming, working with data, and business problem-solving. Prior mastery of every tool is not essential; readiness for rigorous, continuous learning and reflective practice is more important.
Equally valuable are communication skills, teamwork, creativity, achievement orientation, adaptability, and the ability to work across technical and business functions. Candidates should recognise that AI decisions have ethical, social, environmental, privacy, and governance implications, and should display integrity, empathy, respect for diversity, and responsible judgement.
The program is especially appropriate for those aspiring to become business analysts, AI product managers, data science managers, AI/ML solutions managers, consultants, entrepreneurs, or transformation leaders who can convert data and emerging technologies into responsible innovation and sustainable value. This profile supports TAPMI’s mission by nurturing industry-ready, globally minded leaders and wealth creators committed to excellence, innovation, continuous learning, and responsible management practice.
Placement Highlights:
- The first batch of MBA AI & DS (Batch 2025-27) is currently in the second year of their program. The six-month internship roles offered to the cohort were Data Science Intern, Gen AI Consultant Intern, Product & AI Integration Intern, Data Engineering and Automation Intern, and Business Analyst. Some of the internship recruiters were JK Paper Ltd., Nevius Solutions (Part of NTT Data), Titan Company Ltd., and F2Fintech. The highest internship stipend was ₹30,000 per month and average stipend was ₹20,300 per month.
