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IIM Nagpur | Blended MBA in Data Science and Management

IIM Nagpur.3 - 30 yrs.Anywhere

Fee

INR 12,10,000/- (Exclusive of Application Fee)

Duration

2 Years

Experience

3 - 30 yrs

Delivery Method

Blended- Online

An IIM degree, an AI-era curriculum

Course Detail

Analytics and AI Without Management Is a Toolset. Management Without Analytics and AI Is a Guess.
Businesses increasingly need professionals who can understand data and AI and translate those capabilities into business decisions. The IIM Nagpur Blended MBA in Data Science and Management is designed for working professionals who want to build this combination of managerial, analytical and AI capabilities through an MBA-level curriculum.

PROGRAMME PHILOSOPHY

  • Fluency over familiarity.
  • Application over abstraction.
  • Leadership as the destination.

Advantages of Blended MBA for Working Professionals

  • Flexibility and Convenience
  • Diverse Networking Opportunities
  • Cost Effectiveness
  • Access to Cutting-Edge Technology
  • Tailored Learning Experience
  • Improved Time Management Skills
  • Exposure to Global Business Practices
  • Enhanced Career Opportunities
  • Work-Life Balance

PROGRAMME HIGHLIGHTS AT A GLANCE

  • IIM Nagpur Alumni Status
  • Group Projects, Business Simulations, Case Studies
  • 4 in-campus immersion modules for face-to-face learning and cohort bonding
  • Classes scheduled Friday and Saturday evenings, Sunday mornings and afternoons - built for a working week
  • Interactive Learning 840+ hours of instruction - 84 credits - 8 terms over 2 years
  • 19 core courses in Year 1 spanning Data Science, AI, Analytics and General Management
  • A mandatory field project applying your learning to a real business problem
  • Top-Tier Faculty & Industry Thought Leaders
  • Chamber Consulting VCC of 1 hour (weekly)
  • Elective tracks in Marketing Analytics & MarTech, Financial Analytics & FinTech, HR Strategy & Analytics, and Digital Supply Chains
  • Dedicated modules on GenAI, Agentic AI, LLMs, and AI Ethics & Regulation

Desired Candidate Profile

  • A Bachelor's degree or equivalent with a minimum of 50% marks or equivalent CGPA from a UGC/AICTE-approved institution.
  • A minimum of 3 years of full-time professional experience after graduation
  • A valid IIMNAT (IIM Nagpur Aptitude Test) Score
  • Designed for experienced working professionals looking to combine management expertise with data, analytics and AI capabilities.
  • No prior coding experience required.

Course Modules

CURRICULUM: YEAR ONE
19 Courses. 480 Hours. Four Terms.
Term I

  • Introduction to Computing (Python/R)
  • Introduction to Data Science
  • Economics Foundations
  • Marketing Management

Term II

  • Probability and Statistics
  • Data Visualization
  • Understanding Financial Statements
  • Corporate Finance
  • Operations and Supply Chain Management

Term III

  • Optimization Models
  • Artificial Intelligence Foundations
  • Human Resource Management in Digital Age
  • Indian Ethos
  • Digital Law & Ethics

Term IV

  • Managing and Using Information Systems
  • Data Mining
  • Research Methods
  • Strategic Management

CURRICULUM: YEAR TWO

Tentative List of Electives ( From Term V-Term VIII)

  • Application of GenAI and Analytics into Enterprise Strategy
  • Natural Language Processing
  • Business and Leadership Communication
  • Business Data Mining and Decision Models
  • Agentic AI Models and Applications in Enterprise IT Consulting
  • Implementing AI in Your Organization
  • Managing ERP in Digital Age
  • IoT, Cloud Computing, Blockchain and Industry 4.0
  • Ethics, Privacy and Regulations in AI
  • Data Monetization and Governance
  • Business Process Simulation
  • Python Programming Fundamental
  • Prescriptive Analytics
  • Database Management Systems
  • Managerial Predictive Analytics
  • Time Series Analysis and Forecasting
  • Operations Analytics
  • Recommendation Systems
  • Supply Chain Management
  • Conversational AI and Virtual Assistance
  • Advanced Analytics
  • Agentic AI
  • Sales and Operations Planning
  • Generative AI for Managers