Programme Overview

Consequent to decades of information technology deployment, organizations today have more information at hand than ever before. But in many cases the information is not being utilized to out-think the rivals. Thus, organizations are missing out on a potent competitive tool.

Business Analytics is about quantitative analysis and predictive modeling towards data-driven competitive strategies. Exemplars of analytics are using tools to identify their most profitable customers; offer the right price; accelerate product innovation; optimize supply chains; identifying the true drivers of financial performance etc. Organizations as diverse as HSBC, PepsiCo, Amazon, Netflix, Barclay's, Capital One, Paytm, and Procter & Gamble illuminate how to leverage the power of analytics. Competence in analytics along with the ability to handle big-data has become a critical skill for managers of the new age business organizations.

This executive long-distance programme would have modules such as Data Mining, Statistics and Mathematics for Business Analytics, Machine Learning, Big Data, Cloud Computing, Data Visualization and Descriptive Analytics, Predictive Modelling, Financial Analytics, Marketing Analytics, Operations Analytics, and others. The overall value gained at the end of the programme is expected to build a solid foundation of business analytics.

Programme Objective
  • The Program provides excellent executive education in the field of Business Analytics.
  • It would help improve managerial and leadership capabilities of participants.

Programme Directors
Professor Anik Mukherjee

Professor Anik Mukherjee

Management Information Systems

Professor Abhipsa Pal

Professor Abhipsa Pal

Management Information Systems

Who Should Attend
  • Professionals interested to build a career in Analytics. The programme would demand adequate familiarity with high-school level mathematics.

Programme Duration and Delivery

The duration of the programme is one year. Sessions will be held once a week for three hours on Sundays (9:00AM-12:00PM).
There will be 2 campus visits spanning 10 days (5+5 days respectively for each visit) in total.


The pedagogy will be highly interactive. It will leverage the use of technology and will consist of a judicious blend of lectures, real-life case studies, quizzes, and assignments.

Programme Content


  • Machine learning
  • Advanced Topics in Analytics: Big Data, Cloud Computing
  • Data Mining Applications in Python
  • Business Analytics and Competitive Advantage
  • Data Visualization and Descriptive Analytics
  • Supervised and Unsupervised Learning
  • Deep learning Business Applications
  • Statistics and Mathematics for Business Analytics
  • Financial Analytics
  • Marketing Analytics
  • Operational Analytics
  • Analytics in Networked Platforms
  • Responsible AI & Ethics in Analytics
  • Cyber Analytics
  • Capstone Project

Programme Sample Certificate

Alumni Status
  • LDP participants who complete the programme successfully become the Alumni of IIMC Executive Education, which currently has over 30,000 members.
  • LDP Alumni are given an email-id in the IIM Calcutta domain.
  • LDP Alumni can register in the IIM Calcutta Alumni portal either with this email-id or with their personal email-ids. The IIM Calcutta Alumni portal is a common platform for Alumni of all programmes of the Institute to interact with each other and stay connected with the Institute.
  • The Institute shares newsletters, important news and articles about the Institute and its activities, the achievements of the Institute's faculty, staff, students and alumni, upcoming events and programmes etc., on the portal.
  • Alumni can post their achievements, write about jobs or LIVE project opportunities for other alumni to see.
  • The IIM Calcutta alumni network can also be accessed on mobile phones through the mobile app.
  • Executive Education Alumni are entitled to a discount of 5% on the programme fee if they opt to do another LDP.
  • By using the different features of the IIM Calcutta portal, alumni across programmes can engage with each other in many meaningful ways. It is up to the alumni themselves to leverage the platform

How to Apply

For further details and for downloading the application form please visit:

Contact Person:
Name: Prathmesh Dali
Number: 1800-843-1552
Email ID: admissions[at]timesgroup[dot]com