Ph.D. in computer Application

Intake: 50

  • Program Code
  • Duration 3 Year
  • Level Doctoral Programme
  • Department Department of Computer Applications
A Ph.D. in Computer Applications signifies an advanced level of expertise and research in the field of computer science and its practical applications.

It demonstrates a deep understanding of theories, methodologies, and the ability to contribute significantly to advancements in technology, software development, data analysis, and more. It opens doors to careers in academia, research institutions, industry leadership, and innovative problem-solving within the tech domain.

A Ph.D. in Computer Applications holds significance as it represents the pinnacle of expertise in the field. It signifies mastery, innovation, and a deep understanding of complex computer systems, algorithms, and their real-world applications. Graduates contribute to cutting-edge research, advance technological frontiers, mentor future professionals, and often lead impactful initiatives in academia, industry, or entrepreneurship, shaping the future of technology.

Eligibility Criteria

55% (50% for SC/ST) marks in Post-Graduation. A pass in M. Sc. or M.S. degree in (Computer Science/Information Technology/Information Science/Software Engineering/Computer Technology/Multimedia) or MCA, and its related disciplines with a minimum of 55% or a First Class in M.Phil. degree in the concerned subject or its equivalent grade point average in the relevant discipline of this university or any other university accepted by the Syndicate as equivalent thereto.

Admission Procedure

Admission to the Ph.D. Programme would be through an entrance exam and personal interview. Those who have valid score cards of the NET will be exempted from the entrance examination.

  • Graduates often pursue roles as researchers, professors, or experts in specialized fields within computer science.
  • They can work in academia, research and development, tech companies, government agencies, or even as consultants.
  • The skills acquired—such as advanced programming, algorithm design, data analysis, and problem-solving—make them valuable assets in various industries like AI, cybersecurity, software development, and data science.

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