PhD in Computer Science: Admission, Eligibility

PhD in Computer Science: PhD stands for Doctor of Philosophy. This blog post aims to provide all the information related to “PhD in Computer Science“. Information like Eligibility, Course fee, Fellowship, Course term, etc. is provided.

One must possess a bachelor’s degree to pursue a PhD, however, most of the institutes prefer a master’s degree for the program. The degree usually takes 4- 5 years to complete. Like in India, many other countries also want their university not to allow Scholars to complete PhD in less than 3 years. You can expect a good salary after doing a PhD in Computer Science or in another subject.

The Ph.D. program in Computer Science imparts the knowledge, skills, and attitude to do world-class research in the area of computer science. It makes a student get expertise in a particular domain.

Ph.D. Topics in Computer Science (2023)

EligibilityB.E/B.Tech/M.E/M Tech all branches, M.Sc, MCA
Duration3-5 Years
Admission ProcessEntrance exam followed by an Interview
PhD ProgramFull-Time/ Part-Time
Course FeeRs. 20000- 2.75 Lakh
StipendMinimum 12000
Average Initial Salary60000
Important Details for PhD in Computer Science

Stipend/ Fellowship/ Scholarship during PhD

The minimum amount you get while doing PhD is Rupees 12000 per month and the maximum is Rupees 80000 per month. It depends on where you are doing your PhD. For instance, you may get a good amount, if you do your PhD for renowned institutes like IITs, IISc, NITs, etc. It also depends on whether you are NET JRF qualified. JRF Qualified candidates get a fellowship of Rupees 35000 per month while doing PhD.

Know more about UGC NET

How to qualify UGC NET and JRF?

Admission Procedure for PhD

Students have to appear for an entrance examination followed by an interview. Only candidates who cleared the entrance exam will be called for the interview. In the interview, students have to discuss their research plan with the panel. The research plan includes a research topic, a research problem in the research topic, and a suitable methodology (solution) for the research problem.

Entrance exam syllabus for PhD in computer science

The entrance exam is conducted by every university which is followed by an Interview. However, in various universities, candidates having UGC NET certificates are exempted from the entrance exam.

The syllabus of the exam is divided into two parts:

  1. The First part covers general knowledge.
  2. The Second part is subject-specific.

Salary after PhD

You can expect a minimum salary of Rupees 50000 after PhD. After doing PhD in Computer Science, you can work either in Academics or in Industries. You will be posted as an Assistant Professor in colleges or Universities.

List of Universities for PhD in Computer Science

In India, there are around 900 universities for doing PhD which include State Universities, Private Universities, Central Universities, and Deemed Universities. Besides these universities, there are also institutes like IITs, NITs, and IISc which offer Ph.D. in Computer Science.

Some Universities and Institutes are as:

  • Indian Institute of Technology Bombay.
  • Dayananda Sagar College of Engineering, Bangalore.
  • RV College of Engineering, Bangalore.
  • Indian Institute of Technology Madras.
  • Jamia Millia Islamia, New Delhi.
  • Indian Institute of Engineering Science and Technology Shibpur.
  • BMS College of Engineering, Bangalore.
  • Lovely Professional University
  • Chandigarh University
  • University of Jammu
  • Shri Mata Vaishno Devi University, Katra
  • Himachal Pradesh University.
  • You can get the list of all Universities from UGC website.

Different research areas for PhD in Computer Science

Scholars have to choose a specialty area such as one of the following:

  • Algorithms, combinatorics, and optimization
  • Human-computer interaction
  • Software engineering
  • Computational biology
  • Data Mining
  • Machine Learning
  • Rough Set Theory
  • Fuzzy Logic
  • Simulation and modeling
  • Web engineering
  • Artificial intelligence
  • Software architecture and testing
  • Language and information technologies
  • Machine learning Robotics

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