The AI and Data Analytics course will have a strong emphasis on math fundamentals, data science, AI, machine learning foundations, application development, and responsible design. Photo: File | Photo credit: B. VELANKANNI RAJ
The Indian Institute of Technology Madras (IIT-M) has launched a B.Tech program in Artificial Intelligence (AI) and Data Analytics for the academic year 2024-25.
Candidates who have qualified in the Joint Entrance Examination (Advanced) are eligible. Admission will be through the guidance of the Joint Seat Allocation Authority. The course will have a strong emphasis on math fundamentals, data science, AI, machine learning (ML) foundations, application development, and responsible design.
The course is offered by Wadhwani School of Data Science and AI. Students will have the opportunity to tailor their learning path through a wide range of elective courses within and outside the department. Candidates will learn the intricacies of speech and language technology and computer vision, in addition to exploring applications in control and sensing and time series analysis. Students can delve deeper into areas of personal passion and interest.
IIT-M Director V. Kamakoti said, “Through this offering, IIT-M aspires to produce top-notch AI professionals, entrepreneurs and researchers, capable of tackling with great trust the major challenges of AI in an evolving market. »
B. Ravindran, Director, Wadhwani School of Data Science and AI, said, “We will ensure that students know enough about the fundamentals of AI so that they can learn on their own if they wish to pursue a career in research. »
The core program is designed to provide a comprehensive foundation in AI and data analytics, covering a wide range of topics. There will be fundamental courses in linear algebra and calculus and specialized modules in ML, deep learning and reinforcement learning.
The program is divided into four parts, including Science Basics, which covers mathematics, science, statistics and modeling techniques such as convolutional neural networks and deep networking, said Arun K. Tangirala, professor at the Wadhwani School of Data Science and AI. .
