Ph. D. in Computer Science and Engineering

Yes. Applicants with an MCA from a recognised university with at least 55 percent marks in a relevant discipline, in line with UGC norms, can apply for a Ph. D. in Computer Science and Engineering. For further details, refer to the eligibility criteria in the Admissions Process Page.

Yes. The program is positioned to create thought leaders and change agents who address global challenges, bridge academia–industry gaps, and drive innovation in high-demand areas like AI/ML, Data Science, Cloud Computing, and Cyber Security, which are among the most sought-after skills in today’s technology ecosystem.

Applicants must hold a master’s degree (or equivalent) with a minimum of 55 percent marks or equivalent grade. Graduates of four-year undergraduate (Honours) programs with 75% or above may apply directly. Eligibility is also extended to candidates with M.Phil., foreign master’s degrees approved by the university’s Equivalence Committee, and high-performing four-year honours graduates who satisfy the National Credit Framework conditions. For further details, refer to the eligibility criteria in the Admissions Process Page.

Yes. A NET qualification is not mandatory for candidates. Candidates who have not appeared for NET can be admitted based on the Alliance Research Aptitude Test (ARAT) and subsequent selection stages. However, for candidates who have a NET qualification, it is not mandatory to appear for the ARAT exam.

The research areas under the Ph. D. in Computer Science and Engineering areas are Artificial Intelligence and Machine Learning, Artificial Intelligence of Things (AIoT), Data Science, Cyber Security, and Cloud Computing, with scope to explore innovative solutions across related computing domains.

Following the UGC regulations and individual research timelines, the duration ranges from three to six years.

Scholars can work on advanced areas such as deep learning models, intelligent systems, cyber defence frameworks, big data analytics, cloud-based solutions, and AI-driven applications through the University’s Centres of Excellence and supervised research projects.

Yes. The Ph.D. in Computer Science and Engineering scholars are encouraged to integrate computing research with fields such as engineering, business, healthcare, and sustainability, promoting innovation across disciplines.

The University offers advanced computing labs, Apple labs, robotics labs, AI and data science facilities, cyber security centers, cloud computing environments, immersive technology labs, centres of excellence, and access to high-performance systems and research databases.

Yes. The University supports research projects through collaborations with government and non-government agencies through Centres of Excellence, projects funded by government and industry, and academic–industry partnerships.

Full-time Ph. D. scholars receive a monthly fellowship of Rs. 35,000 per month and an annual contingency grant of Rs. 25,000 per year. Additional support is available for presenting papers in national and international conferences and for entrepreneurial initiatives.

A Ph. D. in Computer Science and Engineering program supports academic development through research methodology training, publication requirements, access to research databases like IEEE and Scopus, and opportunities to present at national and international conferences.

After a Ph. D. in Computer Science and Engineering, graduates can enter fields such as AI research, data science, cyber security research, cloud architecture, and advanced computing roles, depending on their research specialisation.