DOCTOR OF PHILOSOPHY (COMPUTING) - PART TIME at Sunway University

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Sunway University

Discover Sunway University, a cutting-edge institution nestled in Petaling Jaya, Kuala Lumpur, Malaysia. Despite its youth on the global stage, it has swiftly climbed to the top, ranking within the prestigious top 2% of universities worldwide. Renowned for its diverse array of undergraduate and postgraduate programs in business, science, and technology, Sunway University delivers industry-relevant education that prepares students for success.

Course Information

Academic Qualification
PhD
Duration
4 years
Intake
JANUARY , JULY
English Requirement
6.0
Class Type
Physical
Offer Letter
Free

Yearly Tuition Fees

First Year
12,450
MYR
Second Year
12,450
MYR
Third Year
12,450
MYR
Fourth Year
12,450
MYR
Total Tuition Fees 49,800 MYR

Other Fees

Enrolment Fee 700 MYR
Deposit (refundable) 1,000 MYR
Student Resource Fee 9,600 MYR
Total Additional Fees 11,300 MYR
Grand Total (All Fees) 61,100 MYR

Course Overview

The Doctor of Philosophy (Computing) – Part-Time at Sunway University is a flexible, research-intensive programme designed for working professionals and researchers who wish to advance knowledge in computing while maintaining their professional commitments. The programme develops advanced research, analytical, and problem-solving skills in areas such as software engineering, artificial intelligence, data science, networking, cybersecurity, and emerging computing technologies.

Program Structure: A Pathway to Computing Research Excellence

The PhD (Computing) programme is structured to build research expertise progressively, through coursework, independent research, and thesis submission.

  • Phase 1: Coursework and Research Proposal
    • Research Methodologies: Learn advanced qualitative and quantitative methods applicable to computing research.
    • Literature Review: Conduct a comprehensive review to identify gaps and refine the research topic.
    • Research Proposal Development: Formulate and submit a research proposal under the guidance of a supervisor.
  • Phase 2: Independent Research
    • Data Collection and Analysis: Gather and analyse data using appropriate computing tools and techniques.
    • Experimental and Applied Studies: Conduct empirical or applied investigations as required for the research focus.
    • Thesis Development: Prepare the doctoral thesis documenting methods, findings, analysis, and conclusions.
  • Phase 3: Thesis Submission and Defense
    • Submit the completed doctoral thesis for review.
    • Defend the thesis in an oral examination before a panel of experts.

Entry Requirements

  • Master’s Degree: Relevant Master’s degree in Computing, IT, or related fields with a minimum CGPA of 3.00 or equivalent.
  • Research Proposal: Submission of a research proposal detailing the intended area of study.
  • English Language Requirements: IELTS 6.0, TOEFL IBT 79, Pearson (PTE) 58, or MUET Band 4. Additional English courses may be required if these standards are not met.

Career Opportunities

Graduates of the PhD (Computing) – Part-Time are equipped for high-level research, consultancy, and leadership roles in computing, IT, and technology-driven industries.

  • Computer Science Researcher
  • AI and Machine Learning Specialist
  • Data Scientist / Data Analyst
  • Software Engineering Researcher
  • Cybersecurity Analyst / Consultant
  • IT Project Leader / Technology Strategist
  • Academic Researcher or Lecturer in Computing

Program Highlights

  • Duration: 4–6 years (part-time), designed for working professionals.
  • Mode of Delivery: Part-time with blended learning, including research supervision, seminars, and independent study.
  • Research-Focused: Emphasis on applied and theoretical research with access to advanced computing facilities.
  • Interdisciplinary Approach: Opportunities to explore AI, software engineering, data science, cybersecurity, and other computing domains.
  • Global Recognition: Sunway University is internationally recognized for excellence in computing research.
  • International Collaborations: Opportunities for joint research with global universities and institutions.

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