IIT Kharagpur launches MTech in AI & CPS-PRAYAS

Students can choose six electives from the list of available courses offered by the Centre of Excellence in Artificial Intelligence and some other departments of IIT Kharagpur.

This new MTech course curriculum in IIT Kharagpur is divided into four semesters. (Source: IIT Kharagpur)

The Indian Institute of Technology, Kharagpur (IIT KGP) has launched an MTech course in Artificial Intelligence (AI). This new course by IIT Kharagpur has been launched under the aegis of the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), DST, Government of India.

This new MTech course curriculum in IIT Kharagpur is divided into four semesters. The first two semesters are dedicated to build a strong foundation through ten theory courses, of which four are compulsory. Students can choose six electives from the list of available courses offered by the Centre of Excellence in Artificial Intelligence and some other departments of IIT Kharagpur. The last two semesters are dedicated to project work and internships.

Course details

The MTech programme offers Theory Courses in Foundations of Machine Learning; Algorithmic and Mathematical Foundations of Artificial Intelligence; Deep Learning Foundations and Applications; Artificial Intelligence Foundations and Applications along with Lab Courses in Machine Learning Laboratory; Data Engineering Laboratory and Deep Learning Laboratory.

Also read | IIT-Kharagpur, Ericsson partner for joint research in AI, compute, radio

Elective Courses for the programme comprises of Linear Algebra for AI/ML; Statistical Foundations of AI/ML; Artificial Intelligence for Manufacturing; Artificial Intelligence for Economics; Graph Machine Learning: Foundations and Applications; Visual Computing with AI/ML; Interpretable Machine Learning; AI/ML for Robot Autonomy; Graphical and Generative Models for Machine Learning; Machine Learning for Earth System Sciences; Big Data Processing; Secure and Dependable AI/ML; Knowledge Modeling and Semantic Web Technologies; Advanced Learning Paradigms in AI and Artificial Intelligence for Cyber-Physical Systems etc.

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