BITS Pilani | MBA AI for Business for Working professionals
2 - 30 yrsAnywhereFee
INR 73,100 per semester
Duration
2 Years
Experience
2 - 30 yrs
Delivery Method
Blended- Online
Gen AI & NLP | Human-Centric AI | AI Product Management
Course Detail
Programme Introduction
The MBA - AI for Business is a prestigious four-semester Work Integrated Learning Programme from BITS Pilani, designed for professionals aspiring to build leadership careers at the intersection of business strategy, Artificial Intelligence, and advanced analytics. The programme integrates contemporary management education with practical applications of AI and Machine Learning, empowering professionals to drive intelligent decision-making, operational excellence, and digital transformation across industries. With a strong focus on experiential learning and workplace relevance, the programme prepares learners to emerge as future-ready business leaders in an increasingly AI-powered world.
Programme Objectives
- Strategically leverage AI technologies to transform business models, enhance decision-making, and drive competitive advantage across industries
- Analyze and interpret complex data to build effective AI models that deliver actionable insights for solving business challenges
- Apply AI-driven solutions across functional domains such as marketing, finance, operations, and human resources to optimize performance and efficiency
- Ensure the ethical, transparent, and responsible implementation of AI systems, addressing societal and legal considerations
- Effectively communicate AI-enabled strategies and innovations to diverse stakeholders while adapting to evolving business and technology landscapes
Desired Candidate Profile
- Employed professionals holding an Integrated First Degree of BITS or its equivalent such as B.E./ M.Sc. in relevant disciplines,with at least 60% aggregate marks and minimum of one year work experience If any other degrees like B.Sc. / B.Com. / BCA with minimum 2 years of Work Exp is required and having studied at least one course in mathematics or statistics at 10+2 or higher level, and with minimum of two years work experience in relevant business domains or Employed professional holding recognized professional qualifications such as CA/CS/CWA/CMA/CPA, and having studied at least one course in Mathematics or Statistics at 10+2 or higher level, and with minimum of one year work experience in relevant business domains.
- Employed professionals holding a three-year undergraduate degree in such areas as Mathematics, Statistics, Science, Economics, Commerce, Humanities, and Business Management, and having studied at least one course in mathematics or statistics at 10+2 or higher level, with at least 60% aggregate marks and with minimum of two years work experience in relevant business domains.
- Employed professional holding recognized professional qualifications such as CA/CS/CWA/CMA/CPA, and having studied at least one course in Mathematics or Statistics at 10+2 or higher level, with at least 60% aggregate marks and with minimum of one year work experience in relevant business domains.
Course Modules
Programme Curriculum
First Semester
- Business Statistics
- Managerial Accounting
- Managing People and Organizations
- Marketing Management
Second Semester
- Corporate Finance
- Operations Management
- AI Applications and Ecosystem
- Applied Data Science
Third Semester
- Managerial Economics
- Strategic Management and Business Policy
- Applied Machine Learning and Deep Learning
- Domain Elective 1
Fourth Semester
- Domain Elective-2
- Domain Elective-3 / General Management Elective
- Project
Pool of Domain Electives
- AI in Finance
- AI in Human Resource Management
- AI in Marketing
- AI in Operations and Supply Chain
- AI Strategy, Ethics and Governance
- Computer Vision for Business
- Disruptive Applications of AI and Emerging Technologies
- FinOps for AI
- Human-centric AI
- Management of AI Products
- NLP and GenAI for Business
- Advanced Marketing Management
- AI for Competitive Advantage
- Business Environment, Laws, and Ethics
- Business Research Methods
- Data Visualization and Communication
- Decision Analysis
- Entrepreneurship and New Ventures
- Entrepreneurial Finance
- Enterprise Risk Management
- Indian Ethos in Management
- International Business and Trade
- Leadership and Managing Change
- Management Control Systems
- Project Management
- Strategic Human Resource Management
- Technology Management in Business
