Doctor of Philosophy (PhD) program in Computer Science and Engineering (CSE)

Doctor of Philosophy (PhD) program in Computer Science and Engineering (CSE)

Program Details

Program Name: PhD Programs

Department Name: Computer Science and Engineering

Short Name: PhD in CSE

Admission Criteria

Eligibility: Candidates must hold a master’s degree in CSE or a closely related field from a recognized university aligned with the university admission policies. 

Outline

PhD in Computer Science and Engineering

Department of Computer Science and Engineering, Comilla University

The PhD program in Computer Science and Engineering (CSE) at Comilla University is designed to cultivate advanced research skills and expertise in core and emerging areas of computing. The program emphasizes original research, critical thinking, and innovation, preparing candidates for careers in academia, industry, and research institutions globally.

Key Features

  • Eligibility: Candidates must hold a master’s degree in CSE or a closely related field from a recognized university.

  • Research Areas: Students can specialize in areas including computer vision, machine learning, deep learning, interactive systems, human-computer interaction, signal and speech processing, data science, artificial intelligence, and software engineering.

  • Supervision: Each PhD candidate is guided by experienced faculty members. Currently, the department supervises candidates both locally and through collaborations with universities worldwide.

  • Program Duration: Typically 3–5 years, depending on research progress and academic requirements.

  • Research Output: Students are encouraged to publish in high-impact journals and conferences, contributing to both theoretical and applied computing research.

  • Facilities: Access to state-of-the-art laboratories, computing resources, and research support within the department and affiliated labs.

The program promotes a research-driven, collaborative, and internationally engaged environment. Candidates gain hands-on experience in experimentation, algorithm development, and scholarly communication, preparing them for impactful careers in academia, industry, or government research.

Further information about ongoing projects, publications, and faculty supervision is available at the department’s official profile on the Comilla University website.

Course List
SL Course Name Short Name