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Course Starts
13th May, 2024

Course Fees
₹12,20,000 + GST

Duration
24 Months

The two-year Executive MBA (Analytics) by IIM Kashipur aims to prepare participants to become business leaders who can harness the power of analytics to improve organisational processes. The programme trains learners in the emerging and interdisciplinary areas of analytics, technology, and management through cross-functional academic and practical learning. The programme boasts a meticulously reverse-engineered curriculum based on industry needs and trends, enabling learners to implement everything they learn in the workplace almost instantaneously. IIM Kashipur’s dynamic Executive MBA (Analytics) programme disseminates knowledge through a globally benchmarked curriculum with a focus on key emerging areas, including Business Analytics, Artificial Intelligence, Machine Learning, Deep Learning, Management, and Strategy. The topics are covered in a hands-on manner with real-world case studies to enable participants to succeed in business and analytics roles. By learning about multi-dimensional management frameworks and deepening their understanding of data analytics, learners are equipped to take on data-driven management responsibilities and advance in their companies.

Course Highlights

Comprehensive Learning: 900 contact hours spread across six terms over 24 months

Flexible Curriculum: Participants can choose credits from a pool of 40+ electives across 9 domains

Virtual Office Hours: One-to-one virtual meeting with faculty to exchange opinions

IIM Kashipur Alumni Status: Access to a global network of peers and alumni network to unlock new career opportunities

Course Content

First Year Courses

Term I

  • Organisational Behaviour
  • Financial Accounting
  • Financial Markets
  • Microeconomics
  • Statistics I
  • Mathematical Foundations
  • Introduction to Excel and SQL
  • Programming in R

Term II

  • Marketing Management
  • Operations and Supply Chain Management
  • Entrepreneurship
  • Design Thinking and Innovation
  • Decision Modelling
  • Statistics II
  • Management Information Systems
  • Introduction to Business Analytics with Python

Term III

  • People Management in Organisations
  • Strategic Management
  • Corporate Finance
  • Marketing Research
  • Data Visualisation
  • Data Science and Machine Learning
  • Econometrics

Second Year Courses

Term IV

  • Multivariate Data Analysis
  • Data Management and Big Data
  • IT for Business
  • Electives
  • Electives
  • Industry Workshop (one)

Term V

  • Electives
  • Electives
  • Electives
  • Industry Workshop (one)

Term VI

  • Electives
  • Electives
  • Electives
  • Simulation and Games
  • Industry Workshop (one)

Tentative List of Electives

Operations Management and Decision Science

  • Quality Management and Six Sigma
  • Logistics Management
  • Decision Making Using R: A Case Study Approach
  • Advanced Operations Research
  • Multivariate Data Analysis
  • Project Management
  • Management of Technology
  • Supply Chain Analytics
  • Strategic Sourcing Management
  • Data mining for Business Analytics using R
  • Advanced Managerial Decision Analysis

IT & Systems

  • Natural Language Processing
  • Information Technology and Project Management
  • Social Media and Web Analytics
  • Artificial intelligence and Deep Learning
  • Data Management and Big Data
  • IT for Business
  • Enterprise Resource Planning Systems
  • Social Network Analytics
  • Business Intelligence and Business Analytics
  • Business Innovation through Blockchain
  • Robotics Process Automation
  • Advanced AI Using Reinforcement Learning
  • Artificial Intelligence in Cloud
  • ML Applications with Spark

OB & HRM

  • Emotional Intelligence and Organizational Excellence
  • Making Teams Work
  • HR Analytics
  • Negotiation and Conflict Management
  • Digital Leadership
  • Managing Change in a Disruptive World: Learning Through Simulations

Economics

  • Sustainability Analytics
  • Application of Game Theory
  • Business Analytics for Public Policy
  • International Trade Analytics

Finance and Accounting

  • Financial Derivatives
  • Business Valuation
  • Commercial Bank Management
  • Financial Econometrics
  • Financial Risk Measurement and Management
  • Private Equity and Investment Banking
  • Combinatorial Optimisation and Graph Theory

Strategy

  • Strategies for Emerging Markets (SEM)
  • Management Consulting
  • International Business

Marketing

  • Digital Marketing
  • Pricing Management
  • Social Marketing
  • Business to Business Marketing
  • Consumer Behavior
  • Marketing Analytics

*Courses are subject to change.

Programme Certificate

In order to complete the programme, the participants should acquire 34.5 credits across the six terms.

On successful completion of the two-year programme, participants would be awarded Master of Business Administration (Analytics).

Successful participants will also be accorded IIM Kashipur Alumni status.

Disclaimer: All certificate images are for illustrative purposes only and may be subject to change at the discretion of IIM Kashipur.

Class Schedule

Saturdays
First session: 09:15 a.m. to 05:30 p.m.
Sundays
First session: 09:15 a.m. to 05:30 p.m.

Past Participant Profiles

Top Industries

  • Information Technology/IT
  • Automotive
  • Banking/Mortgage
  • Computer Software/Engineering
  • Education Management

Top Job Profiles

  • Manager
  • Business Analyst
  • Engineering
  • Consultant
  • Associate
  • CEO
  • Lead
  • Director
  • Vice President

Eligibility

I. Bachelor's Degree

II. Work Experience

III. Reservation Criteria

*Internships and trainee Experiences will not be considered as full-time work experience.

Testimonials

Programme Director

Prof. Sunil Kumar Jauhar
Assistant Professor & Area Chair, Operations Management & Decision Sciences

Dr. Sunil Kumar Jauhar holds M. Tech in Industrial Engineering from Visvesvaraya National Institute of Technology Nagpur and Ph.D. in Operations and Supply Chain Management from the Indian Institute of Technology Roorkee. He was a Postdoctoral Fellow at Ted Rogers School of Management, Toronto Metropolitan University (FKA: Ryerson University), Canada during 2018–19.

Prior to joining IIM Kashipur, he was a faculty member at the Indian Institute of Management Jammu. His research interests include Supply Chain Sustainability, Circular Economy, Digital Transformation, Explainable AI. He has contributed several articles in research journals. A few among them are the Annals of Operations Research, Computers and Industrial engineering, International Journal of Production Research, Business Strategy and the Environment, Journal of Cleaner Production, and editing a special issue in Computers and Industrial engineering.

He is a member of several research societies such as the Institute for Operations Research and Management Sciences (INFORMS), Decision Sciences Institute (DSI), and the Canadian Operational Research Society (CORS). Currently, he is involved in the Indo-Czech joint R&D Project under the India-Czech Scientific and Technological Cooperation Programme. This is a project funded by the Department of Science and Technology, Govt. of India and the Ministry of Education, Youth and Sports (MEYS) of the Republic of Czech.

Admissions Process

Easy 3-Step Admission Process

Stage 1

Stage 2

Stage 3

Past participants hail from

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