IIT Madras Launches New B.Tech Course in AI and Data Analytics; Check Details Here

New Delhi: Indian Institute of Technology Madras (IIT Madras) has launched a new B.Tech Course in AI and Data Analytics. The course code is 412L: Artificial Intelligence and Data Analytics and students will be able to apply from the academic session 2024-25. 

The admission to the B.Tech course will be through JEE (Advanced) exam. The Program aims to cultivate expertise in diverse aspects of AI and data analytics, offering a panoramic view of its applications across industries. A total of 50 seats will be available for admission for each batch. 

The course is being offered through the Wadhwani School of Data Science and AI and will offer a lot of academic flexibility, allowing students to tailor their learning journey through a wide range of electives from within the department and outside.

What is the Course Curriculum? 

You will study the intricacies of Speech and Language Technology and Computer Vision to exploring Applications in Control and Detection and Time-Series Analysis as part of the course curriculum. 

Key areas of this B.Tech. program includes focusing on application to real-world problems and Fair and Responsible AI. This includes how to apply data analytics and AI techniques to tackle real-world challenges across diverse domains, fostering innovation and impact besides embracing the principles of fairness and responsibility in AI development, and ensuring ethical and equitable deployment of technology.

The core curriculum has been designed to provide a comprehensive foundation in AI and data analytics, covering a diverse array of subjects essential for success in this field. From foundational courses in linear algebra and calculus to specialized modules in machine learning, deep learning, and reinforcement learning, you will be prepared to tackle the varied challenges in this discipline.

Furthermore, you will get practical experience through laboratory sessions, workshops, and real-world projects, ensuring that you graduate not only with theoretical knowledge but also with hands-on expertise ready for immediate application in the industry.

What Professors have to Say on the B.Tech Course?

Prof. V. Kamakoti, Director, IIT Madras, and a Computer Science faculty himself, said, "AI is evolving across engineering, science and humanities disciplines. It is extremely important to understand these multi-disciplinary connections to be successful in this field. The B.Tech. in AI and Data Analytics is uniquely positioned to address this aspect. It is first of its kind in the world. The curriculum has evolved based on the experience gained by our faculty over more than a decade. Through this offering, IITM aspires to produce top-notch AI professionals, entrepreneurs and researchers who can take up with great confidence the grand AI challenges in the evolving market".

Prof. B. Ravindran, Head, Wadhwani School of Data Science and AI, IIT Madras, said, "AI is at a point where computer science was 30 years back. Artificial Intelligence is going to be a very transformative technology and will be the defining technological development of this generation, and perhaps another generation to come. The flagship program is going to be the undergraduate program - The B.Tech. in AI and Data Analytics. We will ensure that the students know enough about the fundamentals of AI so that they can pick up things on their own if they want to get into a research career."

Prof. B. Ravindran added, "The program that we have developed is designed from the ground up to focus both on the fundamentals of AI and how to build applications and a system-oriented design of AI. Since we are looking at the entire pipeline of AI design, I think it makes this program fairly unique."

 Prof. Arun K. Tangirala, Faculty, Wadhwani School of Data Science and AI, IIT Madras, said, "We can divide the curriculum into four parts - First is 'Foundation in Sciences' that deals with mathematics, sciences, and statistics, followed by 'Modelling Techniques' such as convolutional neural network, deep net and so on, with the third being 'Training and Deployment of Models' in which the algorithms will be covered and finally, 'Domain Applications' which puts everything together. Our interface with the Industry is very strong. In terms of internships, UG Research, and so on, the student here will have a much brighter chance of getting practical experience."

The Research Themes of the Wadhwani School of Data Science and AI include Healthcare, Responsible AI, Language technology, and responsible development and deployment of AI for social impact.

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