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Programs

Ph.D. in Computer Science & Engineering

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Overview

The Ph.D. in Computer Science & Engineering is a research intensive doctoral programme designed to develop world class scholars, innovators, and academicians. Focused on original contributions, the programme emphasizes problem formulation, rigorous experimentation, and high-quality publications in top-tier journals and conferences. Under the guidance of experienced supervisors, scholars explore advanced topics across AI, Machine Learning, Image Processing, Computer Vision, Networks & Security, Cloud Computing, IoT, Software Engineering, Data Mining, Quantum Computing and Analytics. The programme culminates in the submission and defense of a doctoral thesis, preparing graduates for impactful careers in academia, industry R&D, policy, and emerging technology domains.

Eligibility Criteria

Master’s degree (M.Tech/MCA/MSc/MS or equivalent) with 60% marks

Academic Fee

  • 1st Year : INR.80,000/-
  • 2nd Year : INR.80,000/-
  • 3rd Year : INR.80,000/-

Scholarship

For B Tech Students On the basis of PCM percentage

Candidates eligible for scholarship on the basis of Physics, Chemistry & Mathematics percentage at 10+2 level as mentioned below:

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Note: The scholarship amount received in the first year will be applicable for all subsequent years. The student must maintain a minimum CPI of 8.00 to avail the scholarship in the next year of his/her studies.

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Programs

Ph.D. in Computer Science & Engineering

GLA 3 Years

GLA Download Brochure
Overview

The Ph.D. in Computer Science & Engineering is a research intensive doctoral programme designed to develop world class scholars, innovators, and academicians. Focused on original contributions, the programme emphasizes problem formulation, rigorous experimentation, and high-quality publications in top-tier journals and conferences. Under the guidance of experienced supervisors, scholars explore advanced topics across AI, Machine Learning, Image Processing, Computer Vision, Networks & Security, Cloud Computing, IoT, Software Engineering, Data Mining, Quantum Computing and Analytics. The programme culminates in the submission and defense of a doctoral thesis, preparing graduates for impactful careers in academia, industry R&D, policy, and emerging technology domains.

Eligibility Criteria

Master’s degree (M.Tech/MCA/MSc/MS or equivalent) with 60% marks

Academic Fee

  • 1st Year : INR.80,000/-
  • 2nd Year : INR.80,000/-
  • 3rd Year : INR.80,000/-
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GLdvantage
Designed to Produce Future-Ready Engineers

At GLA University, we emphasize education beyond classrooms with project-based learning to ensure our students imbibe what the industry requires.

Advanced Research in Computer Science and Engineering

Advanced Research in Computer Science and Engineering

The Ph.D. programme is designed for scholars who wish to pursue in-depth research in computer science and contribute to the advancement of knowledge in the field.

Research Driven Academic Environment

Research Driven Academic Environment

The programme offers an academically stimulating environment where scholars work closely with experienced faculty members on specialised research areas. 

Flexible Research Domains

Flexible Research Domains

Scholars can pursue research across a wide range of areas within computer science such as artificial intelligence, data science, networks, software engineering, cybersecurity, and emerging computing technologies.

Access to Modern Computing Facilities

Access to Modern Computing Facilities

Well equipped laboratories and research infrastructure support advanced experimentation, development, and analysis in computing.

Focus on Innovation and Publication

Focus on Innovation and Publication

The programme encourages scholars to publish their research in reputed journals and conferences while contributing innovative solutions to real world technological challenges.

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Rankings & Accreditations

Career Prospects

A Ph.D. in Computer Science and Engineering opens pathways to advanced academic, research, and leadership roles in the technology sector.

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Graduates may pursue opportunities in:

  • Universities and higher education institutions
  • Research laboratories and technology centres
  • Government research organisations
  • Technology companies and innovation driven enterprises
  • Research and development divisions of multinational organisations
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Common career roles include:

  • Professor / Academic Researcher
  • Research Scientist
  • Technology Consultant
  • Data Science Specialist
  • Innovation and R&D Specialist
  • Senior Software Architect

Research

Think Beyond Innovation in a Research-Driven Environment

Our researchers pushing the frontiers of knowledge and discovery to explore complex problems and find solutions.

850+

Patents
Published

14

Research
Centres

12k+

Publications in
SCI & Scopus

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Capgemini – CodeXperience Center
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Centre for Automation
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Centre for Skill & Entrepreneurship Development
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Innovation
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Capgemini – CodeXperience Center
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Centre for Automation
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Centre for Skill & Entrepreneurship Development
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Innovation
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Outcomes & Objectives

Demonstrate advanced knowledge and expertise in specialised areas of computer science and engineering.

Conduct independent research that contributes original knowledge to the field of computing.

Analyse complex research problems and develop innovative technological solutions.

Use modern research methodologies, computational tools, and experimental techniques.

Publish and present research findings in reputed academic journals and conferences.

Collaborate effectively with researchers, academic communities, and industry professionals.

Demonstrate ethical responsibility and professional integrity in research and technological development.

Contribute to teaching, research, and innovation in academic or industrial environments.

Develop scholars who can conduct original and high quality research in computer science and engineering.

Prepare researchers to take leadership roles in academia, research institutions, and technology driven industries.

Encourage the development of new ideas, technologies, and computing methodologies that contribute to the advancement of the discipline.

Promote ethical research practices and responsible use of computing technologies for societal benefit.

Conduct innovative research that advances knowledge in specialised areas of computer science and engineering.

Address complex technological and research challenges using advanced computational techniques and analytical approaches.

Publish research outcomes in recognised journals and conferences while contributing to academic and scientific communities.

Develop novel computing solutions, frameworks, or methodologies relevant to modern technological challenges.

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Why Ph.D. in Computer Science & Engineering?

Ph.D. in Computer Science & Engineering is a research-driven program designed for scholars who aim to advance knowledge in computing and emerging technologies. The program focuses on areas such as artificial intelligence, machine learning, data science, cybersecurity, and distributed systems, enabling researchers to develop deep technical expertise and solve complex real-world challenges.

The program emphasizes independent research, innovation, and publication in reputed journals. Scholars work closely with experienced faculty, access advanced computing resources, and engage in interdisciplinary research. This course prepares graduates for careers in academia, high-level research roles, and leadership positions in the technology industry.

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Ph.D. in Computer Science & Engineering grads acquire the following positions
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Research Scientist

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University Professor / Academician

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AI / Data Science Researcher

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Technology Architect

What else can you do while studying at GLA

GLA University offers a wide range of campus extra-curricular activities across all domains.

These activities are organized through student clubs, departmental societies, university festivals, and regular institutional programs. Typical categories and representative examples

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Library, Debating and Quizzing

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Cultural and Performing Arts

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Technical and Professional Clubs

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Ph.D. in Computer Science & Engineering Frequently Asked Questions

Candidates must have a Master’s degree in the relevant discipline with a minimum of 55% marks (50% for SC/ST/OBC). NET/GATE/Equivalent qualification is preferred but not mandatory for all disciplines.

Admission to Ph.D. programs involves an online application, followed by a written entrance test and personal interview. Candidates with valid UGC-NET/UPPSC or GATE scores may be exempted from the entrance test.

Yes, GLA University offers University Research Fellowship to full-time Ph.D. scholars. Selected candidates receive a monthly stipend along with contingency grant to support their research work.

GLA University offers PhD in Computer Science, Law, Pharmacy, Management, Engineering (all branches), Biotechnology, Physics, Mathematics, and several other Science fields.

Ph.D. coursework at GLA University is of one semester (8 months) and includes Research Methodology, subject-specific papers, and a review of literature. Minimum 75% attendance is compulsory.

After successful completion of the entrance test and interview, a Ph.D. supervisor is allotted based on the candidate’s research interest and availability of faculty in the respective department.

Scholars are required to publish at least two research papers in UGC-approved or Scopus-indexed journals before thesis submission as per university and UGC guidelines.

Ph.D. scholars get access to well-equipped laboratories, advanced research instruments, central library with e-resources, and high-performance computing facilities for research work.

The progress of every Ph.D. scholar is monitored through six-monthly progress seminars and reports reviewed by the Departmental Research Committee.

After completing research work and manuscript preparation, scholars submit a plagiarism-free thesis. It is evaluated by two external examiners followed by a final viva-voce.

Yes, hostel accommodation is available for full-time Ph.D. research scholars at GLA University with all necessary amenities.

There is no upper age limit for Ph.D. admission at GLA University. Candidates of any age fulfilling the eligibility criteria can apply.

Research areas in Ph.D. Computer Science include Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Cloud Computing, and Internet of Things.

Ph.D. in Pharmacy covers areas like Pharmacautics, Pharmacology, Pharmaceutical Chemistry, Pharmacognosy, Drug Design, and Clinical Research.

The Research Degree Committee approves the research topic, reviews progress, and recommends thesis submission for all Ph.D. programs.

Yes, GLA University encourages and supports Ph.D. scholars in filing patents for innovative research outcomes through its IPR cell.

Yes, international students can apply for Ph.D. programs. They must fulfill the eligibility norms and provide equivalent certificates as per UGC guidelines.

After Ph.D., candidates can pursue careers as Assistant Professors, Research Scientists, Post-doctoral fellows, or take up leadership roles in industry and R&D organizations.

Candidates must bring original marksheets, degree certificates, research proposal, and valid ID proof for the interview.

Yes, regular workshops, seminars, and conferences on research methodology, academic writing, and data analysis are organized for all Ph.D. research scholars.

Ph.D. duration can be extended up to a maximum of 6 years (including coursework) with proper justification and approval from the competent authority.

Candidates can contact the Ph.D. admission cell through the official university website or email for any queries related to Ph.D. programs.

Admission Process

How to apply to GLA
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Registration

Register online by filling in your basic details on the admission portal.

https://
student.glauniversity.in/
Main/Admission

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Application Fee

Complete your application by paying the online application fee.

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GLA Entrance Test (GLAET)

Appear for the 2-hour online entrance test with multiple-choice questions covering your chosen field, English, and reasoning.

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GLAET Result

Check your result on the portal to know your eligibility for the selected course.

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Pay Token Amount

If you qualify, confirm your seat by paying the token amount.

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Upload Documents

Upload the required documents for verification to complete your admission.

That’s it — your journey with GLA begins here.

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Open for admission year 2026-27
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