“ISB’s Business Analytics programme is one of the most exhaustive executive-level programmes that equips professionals, with advanced skills required to make data-driven decisions in today’s dynamic business landscape. It is a career-enriching programme that provides rigorous theoretical and practical training, on data management, programming, statistics, machine learning, and artificial intelligence. The critical aspects of the programme are top-notch faculty, world-class campus facilities and industry speaker series, who bring the latest research, best practices and domain knowledge to the diverse mix of students. Continuing our commitment to provide the best education to our students' and to prepare them for the industry we have recently included modules on contemporary topics that cover recent advances in data science and its applications in business domain.”
Associate Professor, Marketing
Executive Director - ISB Institute of Data Science,
Associate Dean – Research and RCI Management, Indian School of Business.
Some of the best minds in management education have been involved in creating a curriculum that is global in scope. ISB constantly strives to ensure that the curriculum is contemporary and relevant to current industry needs.
The curriculum at the Indian School of business is based on cutting-edge research and global best practices.
It is reviewed and upgraded every year in consultation with our associate schools for its theoretical intensity and practical relevance.
All participants get an opportunity to have a unique holistic learning experience.
The programme adopts adult learning pedagogies, with emphasis on action and application, rather than just theory and concepts. The pedagogy involves integrating faculty lectures with case study discussions, simulations, group activities, and other interactive sessions. Experienced industry practitioners visit ISB to interact with participants to share practical perspectives and insights into real business problems.
Participants attend classes at the ISB campus over six residencies of five days each, scheduled every alternate month. During a residency, participants attend day-long classes, and spend their evenings on co-curricular learning engagements. Participants are required to stay on campus during these residencies.
An online interactive technology platform complements classroom-based learning that occurs during residencies. This platform will be used predominantly for tutorials, mentoring, delivering Foundation-Term modules and at times for course content.
Self-Study and Peer Learning
Participants are expected to make maximum use of the learning resources offered, for a seamless learning experience. The resources may include textbooks, business cases, videos, etc. Apart from classroom attendance, participants are expected to dedicate 10-12 hours every week towards assignments, project work, and session pre-readings.
The Foundational Projects runs through the programme, and cuts across its various modules. This helps participants build capabilities to solve different business problems, by integrating classroom learning from various courses.
The Capstone Project is an important component of the programme. It offers participants an opportunity to apply their overall course learning to solve real-world business problems. Each participant group is mentored by a faculty member and an industry mentor, to integrate theoretical and practical aspects. Participants have an option to work on a live project from their organisation. Alternatively, the Programme Office allows them to bid for projects that it brings from other organisations.
Past participants have worked on Capstone Projects in various domains from reputed organisations such as ABP News, Accenture, Ashok Leyland, Bharti Airtel, Capgemini, Cognizant, Cyient, Deloitte, DXC Technology, Expedia, Flextronics, Ford Motors, Franklin Templeton, Gartner, GE Digital, HP Global Analytics, IL&FS, iNautix (BNY Mellon), Infosys, KPMG, L&T Infotech, Microsoft, MuSigma, INTT Data, Polaris (now Virtusa), Reliance Games, Snapdeal, Star TV, S&P Global, Variance.ai, Vodafone, Walmart, and many more.