Doctor of
Philosophy in
Computing
R/0613/8/0009(FA9389)2/28
Redefine Technology. Reimagine the Future.
The world is powered by code, data, intelligence and connectivity. Now it needs thinkers who can go further.
The PhD in Computing at UNIMY is a research-intensive doctoral programme designed to help you advance knowledge, solve complex technological challenges and create the digital future.
You won’t simply study computing. You will expand its boundaries.
Under the guidance of experienced supervisors, you will conduct original research that addresses real-world problems across areas such as artificial intelligence, cybersecurity, cloud systems, immersive technologies and beyond. Whether you aspire to lead in academia, industry or innovation ecosystems, this programme equips you with the intellectual authority and research depth to do so.
This is where scholars become pioneers.
Awarded by:
UNIMY
Duration:
3 - 5 Years
Pathway:
Postgraduate
Study mode:
Full Time / Part Time
Intakes:
February, May & September
Assessments:
Research
The UNIMY Advantage
Your Future in Technology Leadership Starts Here.
Research That Matters
Your work focuses on impactful, real-world challenges in AI, cybersecurity, data science, IoT, software engineering and emerging digital systems — not theoretical research disconnected from industry needs.
Expert Academic Supervision
Be mentored by experienced academics and researchers who guide your intellectual development, research direction and publication journey.
Industry-Relevant Focus
UNIMY specialises in computing and engineering — meaning your research sits at the centre of digital innovation, not at the periphery.
Strong Industry Connections
UNIMY has established strong collaborations with industry leaders and tech giants. These connections can offer you opportunities for internships, industry projects and exposure to real-world challenges.
State-of-the-Art Facilities and Resources
UNIMY offers state-of-the-art facilities, including advanced labs, research centres, and computing resources. Access to these facilities ensures that you can work on high-quality research projects, utilising the latest tools and technologies in the field.
What Is This Programme About?
The PhD in Computing is a research-focused doctoral programme aimed at developing advanced knowledge, critical thinking, and high-level research expertise in key computing disciplines.
You will:
- Conduct rigorous and original research
- Develop advanced analytical and methodological skills
- Contribute new knowledge to the field of computing
- Engage in collaborative research initiatives
- Publish scholarly work
- Present your findings before academic experts
The programme enhances both academic depth and applied research capabilities, ensuring you graduate ready to lead innovation in today’s digital landscape.
This programme is suited for academics, professionals, technologists and innovators seeking to expand their expertise and make meaningful contributions through research.
Earn Microcredentials from the
WORLD’S BEST UNIVERSITIES
& INDUSTRY GIANTS
Learn in Cutting-Edge Labs & Smart Classrooms
Train in a tech-driven learning environment equipped with modern computing labs, networking facilities, cybersecurity tools, and smart classrooms — simulating real-world working conditions from day one.
Learn in Cutting-Edge Labs & Smart Classrooms
Train in a tech-driven learning environment equipped with modern computing labs, networking facilities, cybersecurity tools, and smart classrooms — simulating real-world working conditions from day one.
COURSE MODULES
Students may pursue research in a wide range of areas, including:
- Al & Intelligent Machine
- IOE (Internet of Everything)
- Cloud Computing
- XR (Extended Reality – AR, VR, MR)
- Blockchain /Business Technology
- Cybersecurity
- Human-Machine Interaction
- DevOps (Coding Development and Operation)
Year 1
- Research Methodology and Academic Writing (compulsory course)
- PhD Research 1
- PhD Research 2
Year 2
- PhD Research 3
- PhD Research 4
Year 3
- PhD Research 5
- PhD Research 6
Year 4
- PhD Research 7
- PhD Research 8
Year 5
- PhD Research 9
- PhD Research 10
The assessment for the compulsory courses prim consists of reports, assignments, projects and presentations.
For the research component, student assessment will be based on the following:
- Research Progress
- Research Proposal Defense
- Colloquium / Seminar
- Thesis Examination
- Viva Voce
- Papers Publication
The Fastest & Smartest Way
to a IT Career
-
Start Here
- SPM
- O-Level
- (or equivalent)
-
- Diploma in Information Technology
-
- Bachelor of Computer Science (Hons)
- Bachelor of Computer Science (Data Science) with Honours
- Bachelor of Software Engineering (Hons)
-
- Master of Science in Engineering
- Master in Computing
- Doctor of Philosophy in Engineering
Career Opportunities
A PhD in Computing places you at the forefront of innovation, strategy and technological leadership. You won’t just work within systems — you will design, optimise and redefine them.
With doctoral-level expertise, you position yourself among decision-makers, researchers and industry pioneers shaping the global digital economy.
University Lecturer, Senior Academic or Professor
- Inspire and mentor the next generation of technologists while leading funded research projects, publishing in high-impact journals, and contributing to global academic discourse. You may head research centres, supervise doctoral candidates and influence national research agendas.
Research Scientist / R&D Director
- Lead breakthrough innovations in artificial intelligence, cybersecurity, extended reality, cloud computing or next-generation systems. Whether in multinational corporations, government agencies, or advanced research institutes, you will drive projects that transform industries and solve complex real-world challenges.
Chief Technology Officer (CTO) or Technology Leader
- Shape enterprise-wide digital strategy at the highest level. As a CTO or senior technology executive, you will oversee innovation pipelines, guide digital transformation, manage high-performing technical teams and align emerging technologies with business growth.
AI Architect or Data Science Manager
- Design intelligent systems that power industries — from predictive healthcare and fintech analytics to smart cities and autonomous systems. You won’t just apply algorithms; you’ll build frameworks and models that redefine how organisations leverage data.
Cybersecurity Strategist or Digital Risk Director
- Safeguard critical infrastructure, financial systems and national digital ecosystems. You will develop advanced security architectures, lead threat intelligence initiatives, and advise organisations on governance, compliance and resilience in an increasingly connected world.
Technology Policy Advisor or Digital Governance Manager
- Influence public policy and regulatory frameworks at national and international levels. Work with governments, think tanks or global institutions to shape ethical AI standards, data governance laws, cybersecurity frameworks and digital transformation strategies.
Innovation Consultant or Digital Transformation Specialist
- Advise corporations and institutions on emerging technologies, system architecture, process automation and innovation strategy — helping them stay competitive in rapidly evolving markets.
Technology Entrepreneur or Deep-Tech Founder
- Commercialise your research and turn innovation into scalable ventures. With doctoral-level expertise, you can launch AI start-ups, cybersecurity firms, immersive tech platforms or SaaS solutions built on proprietary research and intellectual property.
ABOUT THE COURSE
Course Entry Requirements
You'll need one of the following:
- A Master's degree in computing or related fields recognised by the UNIMY Senate; OR
- A Master’s degree in non-computing fields with relevant computing experience, subject to prerequisite courses and assessment as determined by UNIMY; OR
- Other qualifications recognised by the Government of Malaysia as equivalent.
(Subject to Senate approval)
Programme Fees
EPF Withdrawals, EZ Payment Plans, 0% Credit Card Instalment Schemes, Scholarships and Bursaries are available.
Contact us for more details.
Examination Structure
The University of London programme follows a 3+0 structure, consisting of three academic levels: Level 4, 5, and 6 (Year 1, 2, and 3). You will typically complete four subjects per year, totaling 12 law subjects to qualify for certification. While the standard duration is three years, you have up to seven years to complete the programme.
Eligibility for the Certificate of Legal Practice and the UK Bar Course depends on the latest requirements outlined by LPQB and the UK Bar. Assessments are primarily written exams, usually accounting for 100% of the module grade. Some modules may include multiple-choice questions or a combination of assessment formats.
Exams are typically three hours long and conducted in a closed-book format unless stated otherwise. The grading system ranges from First-Class (70% and above) to Fail (below 40%), with resit opportunities available in the October exam session.
