PhD in Computer Science


Duration – As per DITU PhD Ordinance

The maximum period will count from the date of enrollment to the date of submission of the PhD theses.

In exceptional circumstances, to the satisfaction of the Vice-Chancellor, a candidate may be granted (a) an extension of maximum of one year over and above the maximum duration as specified above or (b) a relaxation of one year in the minimum duration as specified above provided (s)he is a full time candidate with MCA or equivalent as entry qualification.

In case a PhD scholar is not able to successfully complete the PhD within the maximum duration as specified above (including 6.2(a) above) his/her registration will expire and his/her PhD program will stand automatically terminated.


Minimum 55% marks or CGPA not less than 6 on scale of 10 in regular MCA Degree (Not distance or any other mode) of a University or equivalent for PhD in Engineering /Technology in respective branch.
GATE/NET qualified students shall be preferred.

Higher Education

The Ph.D. prepares students for an academic career in the field of higher education for research and related scholarly activities. Coursework emphasizes research and theory including in-depth exploration of an academic discipline. Through coursework and a research assistantship with their advisor, students develop the skills they need to conduct quality primary research in higher education.



  • Admissions Twice in year (June & December)
  • Subject to availability of guide
  • Eligible candidates need to register online. The registration fee is Rs 1250, To fill the Registration Form Online, please Click Here
  • Mere registration will not entitle the candidates for counseling. The decision of the admission committee of the University will be final in all matters concerning the list of candidates called for counseling as well as those offered admission.

Admission Procedure

Counseling on Merit, based on DIT University Entrance Test-DUET’19 and interview conducted by the University.

Area of Research

Machine Learning, Image Processing & Computer Vision, Computational Biology, Big Data Analytics, Cloud Computing, Computer Networks, Cognitive Sciences, Computer Architecture


    • SEATS

      As per availability of Guide