Programme Curriculum
The programme aims to equip early to mid-career professionals in the business domain with the ability for data-driven decision-making and leadership in a complex environment. The programme enables participants to elevate their career trajectory, lead with analytical insight, and drive innovation in a digitally evolving global economy. For many, it would serve as a launch pad for entrepreneurial ventures and tech-enabled enterprises.
The programme emphasizes business principles as well as analytical methods equally. Blended learning offers flexibility to working professionals to continue working while upskilling themselves. The pedagogy will include a mix of methods such as case studies, lectures, simulations, supervised project work, peer learning, and self-study.
Programme Benefits & Features
- Rigorous blended learning MBA degree-granting programme offered by the top business school in India.
- Duration: 2 years.
- Designed for working professionals and entrepreneurs with flexibility and benefits of technology-enabled interaction (direct-to-device) to pursue the programme alongside regular job/venture.
- Classroom learning led by globally recognized IIMA faculty complemented through peer learning.
- Unique learnings from IIMA's case method pedagogy, which brings real-life business scenarios to the classroom.
- Access to the world-class learning resources at IIMA, including the Vikram Sarabhai Library, computing infrastructure and expansive set of databases through remote access during the entire duration of the programme.
- Cutting-edge curriculum combining business management, analytics and AI concepts and frameworks through classroom discussions and experiential learning (capstone projects and action-learning projects).
- Access to an excellent peer network from diverse set of industries with career focus on business analytics and AI.
- The graduates of the programme become a part of the globally renowned IIMA Alumni network.
Programme Structure
The curriculum is broadly categorized into six Terms:
First year
Term I: Apply data-driven analytical thinking to solve business problems
Term II: Integrate data insights across business functions
Term III: Collaborate effectively and contribute to teams in a data-driven environment
Second year
Term IV: Lead and innovate with help of data-informed decision making in a global digital economy
Term V: Uphold ethical standards and stakeholder responsibility in analysing and using data insights
Term VI: Lead strategic transformation through AI and analytics and conduct applied research and innovation in analytics and AI
Programme Calendar
First year (Core courses)
Term I
- Probability & Statistics – I
- Programming for Analytics using R & Python
- Introduction to Data Management
- Introduction to Optimization and Decision Models
- Concepts in Business Analytics & AI
- Introduction to Digital Transformation
- Principles of Economics
- Principles of Finance & Accounting
Term II
- Linear Regression Models
- Probability & Statistics – II
- Exploratory Data Analysis (EDA) & Data Visualization
- Foundations for Machine-learning and AI
- Principles of Human Resource Management and Organizational Behaviour
- Principles of Business and Corporate Strategy
- Principles of Marketing
- Principles of Operations Management
- Capstone Project (Initiation)
Term III
- Advanced Machine Learning and AI
- Time-series Forecasting
- Databases and Data Architecture
- Communication of Analytical Findings to Business-leaders
- Digital Strategies
- Applications of Gen AI, Agentic AI in Business
- Capstone Project (completion)
Second year (Core, Elective courses and Projects)
Term IV
- Natural Language Processing
- Deep Learning
- Decision-making under Uncertainty and Simulation
- Business Simulation Game
- Elective courses
Term V
- Elements of Analytics Project Lifecycle and Developing Action Learning Project Proposal
- Ethics and Responsible Usage of Analytics and AI
- Elective courses
Term VI
- Action Learning Projects in Analytics & AI
- Elective courses
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MBA-BPGP: BA & AI
