Wadhwani School of Data Science & AI

Wadhwani School of Data Science and AI

Indian Institute of Technology Madras (IIT Madras) announced an endowment of Rs. 110 Crore by Mr. Sunil Wadhwani towards setting up the Wadhwani School of Data Science and AI. An MoU was signed on 30^th Jan 2024 between the IIT alumnus Mr. Sunil Wadhwani and Prof. V. Kamakoti, Director, IIT Madras, in the presence of faculty, students, alumni and researchers.

With a vision to be among the top AI-focused schools worldwide, Wadhwani School of Data Science and AI also aims to advise the Government and policymakers on Data Science and AI-related policy areas. IIT Madras has started this highly interdisciplinary school involving faculty from many departments joining hands to work on niche areas, including Responsible AI.

Courses Offered

Wadhwani School of Data Science and AI will offer the following courses:

• B.Tech. programme in AI and Data Analytics
• M.Tech. programme in Data Science and AI
• MS & PhD Programmes in Data Science and AI
• Joint M.Sc. in Data Science and AI with the University of Birmingham, UK
• International Interdisciplinary Masters Programme in Data Science
• Interdisciplinary Dual Degree in Data Science
• Web-enabled M.Tech. in Industrial AI

Admissions will commence in July 2024. The school will also run a Joint MSc in Data Science and AI with the University of Birmingham, U.K., admitting 30 students and an International Interdisciplinary Masters Programme.

The Wadhwani School will enable close collaboration between domain experts and AI researchers to develop solutions that integrate AI with existing approaches. Various degree programs will train students in core AI techniques, data-driven problem solving, and interdisciplinary design adhering to principles of responsible AI. There will be programs that cater to industry professionals and an international student body.

Applied Research Areas

Extensive interdisciplinary research efforts will place IIT Madras at the forefront of Data Science and AI. This new School will integrate core and fundamental research with application research.

The Applied Research Areas of this School will be:

• Healthcare
• Agriculture
• Smart cities and transportation
• Financial analytics
• Manufacturing
• Energy and environment
• Defence
• Education
• Systems biology

Source: PIB