PhD Admissions

PhD Admissions July 2022

June 14, 2022: Candidates shortlisted for interviews for admission to the PhD program have been informed by email. The shortlisting is based on the performance in the written test.

May 24, 2022: Candidates who are shortlisted for the written test for the Ph. D. program have been informed by email.

May 18, 2022: The written test for shortlisted applicants to the PhD program will be held on Saturday, June 4, 2022 in online mode. The shortlisted candidates will be informed by email in a few days.

Currently accepting applications for PhD admissions for July 2022 cycle. Deadline: 17th April 2022. Please see this link for details and application procedures. Please see our brochure link here.


The Department of AI is a newly launched department at IIT Hyderabad. Considering the interdisciplinary nature of AI, a separate department helps in creating a complete ecosystem for AI Academics and Research at IIT Hyderabad. The department will offer B.Tech, M.Tech. and PhD programs, and plans to offer a variety of Minor Programs in AI. The emergence of the department is the consequence of the heavy demand from the industry on artificial intelligence and data analytics, and the need to tackle the many fundamental and foundational research problems arising in a rapidly evolving field. The department’s mission is to

  1. Train students to have a sound understanding of the fundamentals of the theory and practise of Artificial Intelligence and Machine Learning.
  2. Enable students to become leaders in the industry and academia nationally and internationally.
  3. Meet the pressing demands of the nation in the areas of Artificial Intelligence and Machine Learning.

The Department of Artificial Intelligence has a sizable number of highly dedicated and dynamic faculty members, with a wide variety of expertise. Currently there are 22 faculty members affiliated with the AI department. Candidates can discover the profiles and teaching/research areas of different faculty members by visiting Faculty Profiles

The PhD students will be provided with excellent laboratory facilities that they can access at any time. The laboratories are equipped with state-of-the-art facilities including software and hardware (including high-end GPU servers). All the laboratories are provided with internet connectivity.

The Department of AI seeks talented and dedicated PhD students to develop highly skilled human resources who can contribute to modern and cutting edge research and industrial demand in AI.

Eligibility Criteria for Application to the PhD program:

The Eligibility criteria for regular PhD program is MTech/Equivalent Degree in CS/ECE/EE or related areas in Artificial Intelligence. The applicant must have already earned the Master's degree, or should at least be in the final year of the respective pro-gram. In the latter case, it would be assumed that the candidate will be able to complete the degree by the time of admission into the PhD program. Candidates with MSc/MCA/equivalent PG degree with an EMDS at IIT-H may apply for Regular PhD program.

The Department of AI considers Direct-PhD admission, where the eligibility criteria is BTech/BE/MCA/MSc/Equivalent Degree in any engineering discipline or Maths, and have a valid GATE score in CS/EC/EE/MA/ST. Candidate with BTech/BE/MCA/MSc/Equivalent Degree in any engineering discipline or Maths from any Centrally Funded Technological Institutes (CFTI), with CGPA 9 or above can apply without a valid GATE score (For candidates from IITs/NITs/IIITs this is relaxed to CGPA 8 or above).

Department also admit students to the part time PhD program. Part time PhD program have the same eligibility criteria listed above and in addition the candidate must be employed with a relevant employer at the time of application and admission.

Selection Process:

For admission to the program, there will be a preliminary shortlisting depending upon the academic background. Candidates who satisfy the shortlisting criteria need to appear for a written test and/or an interview. The shortlisting criteria could be higher than the eligibility criteria. In addition, the department also reserves the right to set any cut off criteria for shortlisting the candidates and not to select anybody if no appropriate candidates are found.

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