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Program Dates
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Venue/Deadline IIMB Campus
Early Bird Deadline: 15 Dec, 2025
Register By: 26 Dec, 2025 |
Program Fees (excluding GST) Residential: Rs.1,42,500 |
Apply Now |
This five-day programme covers the essential market research techniques that can be used for generating customer insights and formulating winning strategies in competitive markets. The coverage includes hands on exposure to statistical software and cases and data sets from a variety of industries.
The in-class learning would be supplemented by assignments and mini-projects through which the participants will be able to absorb the concepts and implement them in an effective manner.
In today’s rapidly evolving market landscape, organizations must leverage both traditional survey based methods and digital analytics to generate actionable customer insights and maintain a competitive edge. This five-day executive education programme on Analytics for Market Research equips professionals with the essential analytical tools to optimize market research across both conventional and digital channels. Covering critical topics such as problem formulation, research design, statistical inference, predictive modeling, and AI-driven market research applications, the programme ensures a well-rounded understanding of both structured survey-based approaches and unstructured digital data analysis.
Participants will gain hands-on experience with statistical software, real-world case studies from various industries, and advanced techniques for designing effective surveys, segmenting customers, and optimizing marketing campaigns. This programme is ideal for professionals from corporate, consulting, and public sectors who seek to integrate survey analytics and digital market intelligence into their strategic decision-making.
Ms. Preethi
Landline No.:+91-80-26993375
Mobile No. +91-8951974073
Email: preethi.s@iimb.ac.in
Senior and middle-level managers in the marketing, business development, market research, advertising and sales functions who have a basic understanding of marketing and customers.
The course will follow a blended learning approach, combining conventional lectures, interactive case studies, hands-on exercises, and group discussions to ensure a comprehensive learning experience. Participants will work on various datasets, engage in practical problem-solving activities, and apply analytical techniques through guided exercises. The course will also feature industry examples and insights, enabling professionals to bridge the gap between theory and practical market research applications.
Participants will leave this programme with a robust understanding of market research analytics and its practical applications in solving real-world business challenges. They will acquire proficiency in key statistical and machine learning techniques, including A/B testing, regression analysis, cluster analysis, and conjoint analysis, enabling them to derive meaningful consumer insights.
By mastering data visualization and storytelling, they will be able to communicate findings effectively to stakeholders, fostering data driven decision-making within their organizations. Additionally, hands on exposure to industry-standard analytical tools will enhance their technical competency, positioning them as valuable assets in their teams. In the long term, businesses will benefit from improved customer segmentation, optimized marketing efforts, and the ability to integrate insights from both structured surveys and digital analytics—ultimately driving smarter, more effective decision-making in competitive markets.
Professor Shubhabrata Das has been a faculty at IIMB since December 1999. He has held visiting faculty positions at various institutes/universities of international repute, including ESSEC Business School, Indian Statistical Institute Calcutta, University of Nebraska, and University of Montana.
His broad research domain is Statistics, Actuarial Mathematics and Operations Research. He has active interest and experience in aptitude testing, market research and analytics, sports analytics and governance, logistics, business forecasting, insurance analytics, statistical analysis of fuzzy data, measurement and scaling problems, health and education. He has published several papers in journals of international repute. He is a coauthor of a book titled, ‘Facing the Future: Indian Pension Systems’. He is also the co-author of the chapter on canonical correlations in the Encyclopedia of Biostatistics. Besides these, he has published several technical reports and delivered seminars at various international conferences and academic institutes of repute across the globe. His co-authored book titled Business Data Analytics: From Data to Decisions, by University Press is expected to be released in 2025.
He has engaged in training and other consultancy services in the domain of Market Research, Business Statistics, Business Analytics, Business Forecasting various leading market research firms, government organisations as well as other prominent companies in the country.
Programme Fee
INR 1,42,500/- Residential and INR 1,15,000/- Non -Residential (+ Applicable GST) per person for participants from India and its equivalent in US Dollars for participants from other countries.
Early Bird Discount
Nominations received with payments on or before 15-Dec-25 will be entitled to an early bird Discount of 10%.
Early Bird Fee (Residential) INR 1,28,250/-(+ Applicable GST)
Early Bird Fee (Non-Residential) INR 1,03,500/-(+ Applicable GST)
Group Discount
Group Discount of 5% percentage can be availed for a group of 3 or more participants when nominations received from the same organization.
Please Note
