Brij Disa Centre for Data Science and Artificial Intelligence


As a consequence of digital revolution, most of the organizations are deluged with data in the structured and unstructured form. Globally the organizations are facing a huge challenge in converting the information into knowledge for making better decisions. Building skills in data science and artificial intelligence (AI) are thus increasingly valuable for organizations. Data science and AI are poised to infiltrate all organizations.

Organizations at the frontier of knowledge have begun taking advantage of data science and AI to grow and transform their strategies. A deep understanding of these ideas, and its role in business is now essential for the leaders to position their organizations, given that the upcoming wave of competition is going to be based on these new sciences. They need to identify the opportunities for data science and AI to be used profitably, to understand its implication in the business and plan its implementation. Thus, for a forward-looking organization, it is essential to invest in building capabilities in data science and AI to survive and grow. The Centre for Data Science & Artificial Intelligence (CDSA) at IIMA is committed to play a catalytic role in this changing scenario by producing and disseminating knowledge in the realm of data science and AI.


The activities of the centre are five-fold through which the members of the centre engage with businesses, policy makers, students and other academic institutions.

Activities Img

  1. Academic Research- The centre supports and fosters academic research in the field of data science and AI.
  2. Knowledge Dissemination: The centre disseminates research reports/findings to key stake holders including academics through a variety of channels viz., media outreach, participation in academic and professional conferences, authored articles, workshops, etc.
  3. Industry Connect: The centre connects with the industry by collaborating with them in conducting workshops and seminars for the audience that is keen to track the progress of data science and AI in practice.
  4. Consulting Activities: The centre facilitates the businesses by connecting them with researchers who are working on cutting-edge problems and can help solve challenging business problems.
  5. Data-driven Policy Enablement: The centre enables the policy makes and the industries with reports on the trends and the progression of the analytics tools, techniques, market, opportunities, human capital, and other resources, within the country and worldwide.

Advisory Board

Anand Deshpande

Persistent Systems

Sanjiv Das

Santa Clara University

Sunil Gupta

Harvard Business School

Tiziana Di Matteo

King's College London

Centre Chairpersons