A unique 4-year degree program by IIT Madras, India's top technical institute
Applications Open now for January 2025 Batch
Applications Close: January 02, 2025
Exam: February 23, 2025
Awarded by QS Reimagine Education
Students Enrolled
UGC-approved degree program
Flexible online classes with interactive learning modules
IIT Madras started this unique BS program to provide access to IIT quality education to the learners across the country. Data Science is a growing field and the demand for skilled resources in the market is very high. IIT Madras has a rich history of providing high-quality education and this program is designed to underline the fact that IIT is within the reach of everyone. This BS program is meticulously drafted and is aligned with the goals of the National Educational Policy.
We are planning to make IIT Madras a `Vishwa-guru (Global Teacher)` through innovative approaches to enhance the quality of education. In order to support the students from financially disadvantaged backgrounds to pursue this program, scholarships are being provided.
Prof. V. Kamakoti
Director, IIT Madras
Transform your future with a pioneering curriculum in data science
Learn from carefully designed courses taught by experienced IIT Madras faculty and other industry experts.
The graduates of this programme will have strong fundamentals and industry-ready skills.
Learners from any age and any where in the world can study in this program. Current age of learners : 17 to 81 years.
Our program is flexible with exit points for learners from different backgrounds with different aspirations.
Each course will have discussion forums with an active academic team to help in clearing doubts.
Learners from < 5LPA eligible for up to 75% fee waivers. 2000+ students study for free
Learn from the brightest minds shaping the future of data science
Master the tools, techniques, and mindset of a data science innovator
ML Foundations, Deep Learning, Reinforcement Learning, Computer Vision, LLMs, Big Data
Python, Java, PostGreSQL, Linux commands, C programming, Full Stack Application Development
Flask, Vue, NumPy, Scikitlearn, Pytorch, OpenCV, Kafka and many more relevant for Data Science applications
Business Data Management, Business Analytics, Tools in Data Science, Financial Forensics, Market Research, Managerial Economics