The Doctor of Philosophy in Computer Science is a full research programme designed to nurture proficient computing experts capable of leading research and development (R&D) initiatives across diverse realms within computer science. Tailored for students passionate about digital and technology skills, including but not limited to artificial intelligence, data analysis, computer vision, and more, the program equips them with robust knowledge and digital proficiency.
Students will delve deep into advanced theories and technologies, facilitating a comprehensive understanding of research issues. They will engage in rigorous research, crafting original solutions and creatively justifying their approaches. Upon programme completion, students will showcase not only research excellence but also an entrepreneurial spirit, coupled with a steadfast commitment to lifelong learning in the ever-evolving landscape of computer science.
Career Opportunities
– Data Scientist
– Research Scientist
– Computer Science Professor
– Systems Analyst
– IT Specialist
– Machine Learning Engineer
– AI Consultant
– Usability Analyst
– Business Intelligence Consultant
– Chief Information Technology Officer
Programme Modules
– Research Methodology
– Directed Readings and Research
– Doctoral Thesis
2. Conduct Literature Review
3. Identify Research approach and Design
4. Present Research proposal
5. Conduct Original Research and Collect Result
6. Present Research Conclusion
7. Write a Thesis and submit it as a Dissertation
8. Defend Thesis in an Oral Viva Vace Examination
– Conference Presentation
– Publication
– Attending Workshop / Training
PEO 1: Computing experts who are competent with a strong knowledge and digital skills in computer science to foster R & D of new knowledge in the areas of study.
PEO 2: Computing experts who will be able to act autonomously, uphold the ethical conduct, integrity, and demonstrate behaviour that is consistent to professional practices.
PEO 3: Computing experts who will be able to lead in their areas of expertise, interact and communicate effectively with the stakeholders.
PEO 4: Computing experts who will be able to demonstrate entrepreneurial mindset and advocate lifelong learning.
*The programme module structure shown on this page is based on Intake A. The module is subject to change.
*The MPU Modules are translated to English. Please visit [here] for the original module name.
AREA OF DISSERTATION
| – Artificial Intelligence (AI) – System Development |
– Human Computer Interaction – Embedded Systems and Applications |
– Computer Vision and Image Processing – Data Analytics |
If you are interested in other areas, please contact us to schedule a consultation with our programme director.
Centre for Postgraduate Studies (CPS)
Postgraduate Study Handbook
Postgraduate Study Admission Guideline
Postgraduate Study Support
Centre of Professional Development (CPD)
Networking & Industry Collaboration
Commercialisation
Industry Research
Workshop & Seminar
Short Training Course
Career and Professional Development
Research Management Centre (RMC)
Manage research project
Research Grant for RU Academician and student
Provide guideline and support in research publication
Centre for Innovative Teaching & Learning (CiTL)
Open Distance Learning (ODL) Support
ODL LMS Support
Technology in Teaching & Learning
ADMISSION PROCESS
Prospective students are encouraged to contact Raffles University’s education consultants for expert advice on programmes, entry requirements, and scholarship opportunities. The consultants offer clear and personalised guidance, helping individuals navigate the admission process and explore financial support options.
Applicants must submit their highest academic qualifications and English language test results to fulfil the entry requirements. Depending on the programme, additional criteria such as a CV or interview may also be required. It is essential for applicants to carefully review the specific requirements for their chosen programme to ensure all necessary documents are submitted.
Applicants have the option to receive a Supporting Guidance on Writing an Effective Statement of Research Interest (SRI) as part of the admission process. This guidance offers guidance on creating a well-structured SRI that aligns with their academic goals. Additionally, it provides insight for both the applicants and the university, ensuring that the university’s resources and research direction are well-suited to the applicant’s interests.
The guidance may cover
The structure and key components of a successful SRI.
How to align research interests with the expertise of faculty members.
Research design and feasibility.
Examples of well-structured SRIs.
Once the Statement of Research Interest (SRI) is completed, applicants are required to submit it to the university. The university will then appoint a Faculty Evaluation Panel to review the SRI. This panel will carefully assess the applicant’s research interests, ensuring alignment with the university’s academic resources and research directions.
An interview will be conducted with the Faculty Evaluation Panel to provide constructive feedback on the applicant’s Statement of Research Interest (SRI). This interview offers a valuable opportunity for applicants to engage directly with faculty members, receive insights on their research interests, and discuss how they align with the university’s resources and objectives.
Accepted and Proceed to Admission with Adjustments: If the alignment and quality of the Statement of Research Interest (SRI) are moderate to strong, and the applicant demonstrates openness, the research can proceed with some adjustments.
Revise Research Topic and Resubmit SRI: If the alignment and quality of the SRI are below moderate and weak, but the applicant shows flexibility and commitment, revisions will be recommended to better fit the programme and faculty’s expertise. The applicant will need to resubmit the revised SRI for further evaluation.
Rejection and Alternative Programme: If there is no alignment and the quality of the SRI is weak, and the applicant refuses to adapt, guidance will be offered toward other programmes that may better suit their research interests. This ensures that the applicant can find a more suitable academic path.
Entry Requirements
– A Master’s Degree (MQF Level 7) in the field of Computing or related fields as accepted by the University Senate
– A Master’s Degree (MQF Level 7) in non- Computing fields with a minimum of Five (5) years of working experience in Computing or related fields must undergo appropriate prerequisite courses as determined by the University
– A Master’s Degree (MQF Level 7) in non- Computing fields with less than Five (5) years of working experience in Computing or related fields must undergo a thorough rigorous assessment as determined by the University to identify the appropriate prerequisite courses that equivalent to their working experience in Computing or related fields
– Other qualifications equivalent to a Master’s degree in Computing or related fields recognised by the Government of Malaysia as equivalent to the above requirement
Malaysian Student
MALAYSIAN ENGLISH ENTRY REQUIREMENT
Completed a Master’s Degree in English
IELTS: 6.0
TOEFL: 550
TOEFL Essentials (Online): 8.5
TOEFL iBT: 60
PTE: 59
MUET: Band 4
Cambridge English / Linguaskill: 169
*Students who did not meet the English Requirement are required to enrol the RU English Preparation Programme (EPP) AND achieve the requirement of any equivalent English qualification.
International Student
INTERNATIONAL STUDENT ENGLISH ENTRY REQUIREMENT
Completed a Master’s Degree in English
IELTS: 6.0
TOEFL: 550
TOEFL Essentials (Online): 8.5
TOEFL iBT: 60
PTE: 59
MUET: Band 4
Cambridge English / Linguaskill: 169
*International Students who did not meet the International English Requirement are required to enrol the RU English Preparation Programme (EPP) AND achieve the requirement of any equivalent English qualification.
