Candidates shortlisted for the PhD admission should refer to the syllabus before the written exam and faculty profiles before they appear for the interview.

Syllabus

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Post Graduate Programs

The Department of AI accepts PhD applications in several different categories such as Regular with Institute Assistantship, Individual Fellowship (i.e. CSIR/UGC/DBT/ICMR/INSPIRE etc.), Sponsored, and Working Professionals. We currently have more than 40 students working on different topics of AI and its applications and are supported by several scholarships such as Prime Minister Research Fellowship, TCS Research Scholarship Program, Google PhD Fellowship Program, Microsoft Research PhD Fellowship, etc.

Students can apply through the admission portal and refer to the page for more information. Guidelines related to PhD program for working professionals with minimum residential requirements can be found here.

The curriculum includes four core theory courses and three core lab courses to lay strong foundations for the students. There is a wide variety of specialized electives encompassing many areas of Artificial Intelligence and data science. The MTech project requires the student to spend one year on a substantial research topic.

This program may be opted by students of BTech or BS program belonging to various Departments by the end of their 6th Semester. The selection will be based on seat availability, the students' Department, and the students' academic performance till their 6th semester.

Under Graduate Programs

The B.Tech. in AI course offers a comprehensive education in Artificial Intelligence, covering theoretical, software, systems, and application aspects. It strikes a good balance between fundamental and application-oriented subjects.

This micro-specialization comprises one foundation course on Artificial Intelligence and two electives courses related to Artificial Intelligence and Applications. The foundation course on AI introduces fundamental techniques of AI along with a gamut of real-life problems where AI techniques can be successfully applied.
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Machine Learning for Earth System Sciences

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Foundations and Applications of Machine Learning (Bengali)

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Artificial Intelligence for Economics

AI with purpose, nature in mind!

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Prof. Plaban Kumar Bhowmick was invited by the Department of Education, IIT Kharagpur, to speak about "AI on STEM Education".

Prof. Plaban Kumar Bhowmick was invited by the Centre for Internet and Society to speak about "Future of Commons: A Conversation on AI, Indian Languages, and Archives".

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Knowledge graph based entity selection framework for ad-hoc retrieval

Journal of Web Semantics Pankaj K Jha, Plaban K Bhowmick
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Deep Model Predictive Control with Stability Guarantees

IEEE Transactions on Automatic Control Prabhat K Mishra, Mateus V. Gasparino, Girish Chowdhary

About Us.

The Department of Artificial Intelligence, previously known as the Centre of Excellence in Artificial Intelligence since April 2018, was formally established in 2024 following the introduction of new B.Tech. and M.Tech. programs in AI.

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