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MS by Research (Computer Science & Engineering/DoCSE)

Overview

MS by Research is a research‑intensive postgraduate program focused on producing new knowledge in computer science and engineering through independent study and thesis work under faculty supervision. It is structured around a major research dissertation with minimal taught coursework determined in consultation with a supervisor.

  • Course Info

    Affilation Kathmandu University (KU)
    Duration 2-3 Years
    Institute Type College
    Average Fees Incurred Approximately NPR 3 – 4 Lakhs for the full program
    Average Salary Offered Starting: NPR 70,000 – 1,50,000 per month (varies by role, industry, and research expertise)
    Employment Roles
    • Research Scientist / Research Engineer
    • Machine Learning / AI Researcher
    • Data Scientist (research-focused roles)
    • R&D Engineer in tech companies
    • Software Developer / Engineer (advanced projects)
    • Academic roles (Lecturer / PhD candidate)
    • Technical Consultant in research projects

    These opportunities exist in IT firms, research labs, universities, government R&D departments, and multinational tech companies.

  • Admission Criteria

    • Submit an application form to the Department of Computer Science & Engineering (DoCSE)
    • Prepare and submit a research proposal in your chosen area
    • Find a faculty supervisor willing to guide your research before admission
    • Proposal and supervisor approval by the department/committee
    • Final admission is granted based on research potential and departmental review

    This program does not follow a regular entrance exam, and emphasis is on proposal quality and supervisor acceptance.

     
     

  • Salient Features

    • Focused on independent research and original contribution
    • Minimal coursework; major emphasis on thesis/dissertation
    • Close mentoring by faculty supervisors
    • Encourages publications in conferences/journals
    • Flexible structure based on research progress
    • Prepares students for PhD, academia, or R&D roles
    • Ideal for students aiming for advanced technical and research careers
     
     

  • Eligibility

    • Bachelor’s degree in Computer Science, IT, Computer Engineering, or related engineering/science fields
    • Minimum 16 years of education
    • Strong academic record (usually 2nd division or CGPA 2.0/4.0)
    • Applicants must identify a supervisor in the department willing to guide the research
    • Research proposal approval by the department is required for admission
     
     

  • Job Prospectus

    • Research Scientist / Research Engineer
    • Machine Learning / AI Researcher
    • Data Scientist (research-focused roles)
    • R&D Engineer in tech companies
    • Software Developer / Engineer (advanced research projects)
    • Academic roles (Lecturer / PhD candidate)
    • Technical Consultant in research projects

    These opportunities exist in IT firms, research labs, universities, government R&D departments, and multinational technology companies.

  • Curricular Structure

    • The program is research-focused, with major emphasis on thesis/dissertation.
    • Preparatory coursework may be assigned by the supervisor to strengthen research skills.
    • Students start with a research proposal, followed by literature review and identification of research gaps.
    • Conduct experiments, simulations, or data analysis depending on the research topic.
    • Analysis and interpretation of results to produce meaningful findings.
    • Thesis writing, submission, and defense are the main evaluation components.
    • Encourages publication in journals and conferences and participation in seminars.
    • Semester-wise workflow:
      1. Proposal and preparatory courses
      2. Literature review and initial experiments
      3. Main research work and data analysis
      4. Thesis writing and defense

    This structure ensures students gain advanced research skills, with a strong focus on original contribution to the field of computer science and engineering.

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