Programme Overview
A few years ago, The Economist published an article called “The world’s most valuable resource is no longer oil, but data”. Data Science is an emerging discipline to harness, store, and optimally process vast datasets from structured and unstructured sources using statistical modeling and machine learning techniques for decision making that creates business value in today’s context of a highly networked and digital society. Business leaders now understand the pressing need for data visualisation, computational algorithms, advanced predictive modeling, causality, Bayesian techniques for a rapid business transformation. These are becoming increasingly important tools for making strategic business decisions across industry verticals including retail, telecommunications, manufacturing, financial services, and the healthcare sector.
Programme Objective
The emphasis of this programme is to help managers gain a competitive edge in their decision-making by providing them with basic knowledge and understanding of some of the critical aspects of Data Science. The best utilization of cutting-edge analytics processes requires basic knowledge of advanced statistical methodology along with artificial intelligence (AI) tools and the ability to align the output with underlying domain knowledge. Top and middle level managers responsible for making strategic business decisions often may not possess all these skills. This programme aims to fill this gap aided by different data analytics techniques coupled with functional domain knowledge that results in actionable business insights for objective and hence superior decision making.
Key Topics
- Data science for business decision making, its opportunities and challenges
- Making sense of business data: visualization & exploratory analysis
- Causality in decision making: analysing causal relationships among variables using linear and non-linear regression analysis
- Advance predictive & forecasting techniques
- Bayesian techniques for business decisions
- Categorical data analysis for managerial decisions
- Modeling unstructured data: challenges in handling complex high dimensional data
- Computational statistics using R and Python
- Machine learning algorithms to enable data-driven decision making
- Interpretable and Explainable AI model
- Generative AI for business transformation: opportunities for strategic and practical business applications
Programme Directors
Who May Attend
The programme is designed for middle and senior level managers interested in introducing statistical learning and AIdriven decision making and intended to build expertise in data science for strategic business transformation.
Programme Duration and Delivery
- From the morning of November 18, 2025 till the afternoon of November 22, 2025
- Face to face - classroom based
Pedagogy
The program includes a balanced mix of lectures, interactive discussions, hands-on data analysis sessions, and business case studies.
How to Apply
- You can apply/nominate your personnel by clicking on the “Apply Now” link corresponding to the particular MDP, as appearing on our online calendar available at: https://iimcal.ac.in/mdp/mdp-calendar
- Once the candidature(s) is (are) approved, the sponsoring authority or participant (in case of self-nomination) will be intimated over email along with a Proforma Invoice seeking programme fees in advance.
- Programme fees can be remitted online through Electronic Fund Transfer (NEFT/RTGS).
- Upon remitting the fees online, kindly intimate CMDP office with the UTRNo. /relevant transaction details through email, so that we can connect your remittance to your nomination(s). Please note that confirmation of participation is subject to receipt of Programme fees by CMDP Office before commencement of the MDP.
For further assistance, please connect with:
Name: Ms. Payel Majumder
Number: +91 33 7121 6012
Email ID: program_mdp[at]iimcal[dot]ac[dot]in
Programme Brochure
