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IIM Kashipur | Executive MBA in Analytics

Course Snapshot
  • FeeINR 12,00,000 + GST
  • Work Experience3 - 30 Years
  • Duration2 Years
  • Delivery MethodOnline
Course Detail

Program Overview

The two-year EMBA (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.

Program 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.
● Robust Pedagogy: Immersive pedagogy comprising case studies, simulations, peer learning, industry workshops, and capstone projects.
● Blended Learning: A combination of online and on-campus learning with IIM Kashipur faculty and industry experts.
● Built-in Feedback: Concurrent and terminal feedback mechanisms built into each course to facilitate dynamic learning.

Desired Candidate Profile

● A full-time bachelor's degree in any discipline or an equivalent academic pursuit (i.e., 10+2+3), with a minimum of 45% marks or equivalent CGPA (42% for NC-OBC, EWS 40% marks for SC/ST/DAP)
● Minimum of three years of full-time work experience, where number of months of work experience is considered as on date of announcement of the online application process for admission.

Course Modules

● Term I
- Organisational Behaviour
- Financial Accounting
- Financial Markets
- Microeconomics
- Statistics I
- Mathematical Foundations
- Introduction to Excel and SQL

● 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
● Term IV
- Multivariate Data Analysis
- Data Management and Big Data
- IT for Business
- Electives
- Electives
- Industry Workshop (one)
● Term V
- Electives
- Electives
- Capstone Project (Part I)
- Industry Workshop (one)
● Term VI
- Electives
- Electives
- Simulation and Games
- Industry Workshop (one)
- Capstone Project (Part II)