PhD (Computer Science) - School of Computer Sciences
A research degree is awarded primarily on the basis of a thesis embodying the results of a research project and any coursework topics (when necessary) or other formal studies required by the University and the School of Computer Sciences to be undertaken during the candidature period.
The degree can be pursued under the supervision of at least one academic staff of the school. Under this mode of study, the candidate is required to complete a thesis within a stipulated time period. Usually, full-time candidates for M.Sc. complete their thesis in 12 - 18 months and for Ph.D. in 30 - 40 months.
Current research and development activities are organised under three research clusters:
Service Computing | COM11-Enterprise Computing | 01 | Service Science and Innovation |
02 | Management of Information Systems (MIS) | ||
03 | Human Computer Interaction (HCI) | ||
04 | IT Operations and Management | ||
05 | Technopreneurship | ||
COM12-Software Engineering | 01 | Service Systems Engineering (SSE) | |
02 | Software Analysis and Design Patterns | ||
03 | Software Productivity and Quality | ||
04 | Value-Based Software Engineering | ||
05 | Sustainable and Evolutionary Software Systems | ||
COM13-Social and Sustainable Computing | 01 | Social Informatics | |
02 | Computer Ethics | ||
03 | Collaborative Computing | ||
04 | Information Evaluation | ||
05 | Usability Engineering | ||
COM14-Multimedia Computing | 01 | Virtual Reality and Animation | |
02 | Multimedia Retrieval, Processing and Analysis | ||
03 | Distributed Multimedia and Multimedia Communication | ||
04 | E-Learning | ||
05 | Multimedia Tools and Applications | ||
Data to Knowledge | COM21-Computational Intelligence | 01 | Intelligent System Techniques |
02 | Scheduling/Timetabling/Planning | ||
03 | Evolutionary Computing | ||
04 | Collective Intelligence | ||
05 | Brain Inspired Computing | ||
COM22-Computer Vision and Image Processing | 01 | Image Analysis | |
02 | Semantic Image and Video Knowledge Extraction | ||
03 | Image Retrieval | ||
04 | Multimodal Integration | ||
COM23-Visual Computing | 01 | Data Visualisation | |
02 | Information Visualisation | ||
03 | Knowledge Visualisation | ||
04 | Computer Graphics | ||
05 | Visual Analytics | ||
06 | Virtual Environment | ||
COM24-Language Engineering | 01 | Natural Language Processing | |
02 | Automated Translation | ||
03 | Speech Recognition | ||
04 | Speech Synthesis | ||
05 | Semantic Web Search | ||
06 | Text Summarisation | ||
COM25-Knowledge Engineering | 01 | Health Informatics | |
02 | Knowledge Management and Engineering | ||
03 | Data Mining | ||
Enabling Technologies and Infrastructure | COM31-High Performance Computing | 01 | Distributed Systems |
02 | Parallel Tools and Applications | ||
03 | Cluster and Multicore Computing | ||
04 | Grid Computing | ||
05 | Peer-to-Peer Computing | ||
COM32-Computer Networks | 01 | Embedded Systems | |
02 | Wireless and Mobile Computing | ||
03 | Quality of Service | ||
04 | Network and Communication Protocols | ||
05 | Network Modeling | ||
06 | Wireless Sensor Networks | ||
COM33-Information Security | 01 | Network Security | |
02 | Malware | ||
03 | Cryptology | ||
04 | Steganography | ||
05 | Data Privacy and Preservation | ||
06 | Security Management | ||
07 | Digital Forensic | ||
COM34-High Performance Computational Biology | 01 | Parallel Sequence Analysis Algorithms | |
02 | Parallel Structure Prediction Algorithms | ||
03 | Concurrency Theory in Biology | ||
04 | Parallel Biological Data Mining |
Note:- The above may serve as a guide for applicants to choose his/her title and research field.
Expertise available in the following School: School of Computer Sciences
Applicants should possess the following:
- A Master’s degree with minimum CGPA of 3.00 or equivalent in Computer Science/ Information Technology or equivalent or
- A Master’s degree with minimum CGPA of 3.00 or equivalent in Electronic Engineering/ Electrical Engineering/ Computer Engineering (60% of the core component must be Computer Science related) with
- A Bachelor’s degree in related area with minimum CGPA 3.67/4 (fast-track to PhD)
(Applicable for International Applicants Only)
The minimum score for each programme can be vary from the below list, candidates are required to check for each programme requirements.
- A minimum of Band 6 for IELTS; or
- A minimum score of 60 for TOEFL (Internet-based); or
- A minimum of Band 8.5 for TOEFL Essentials (Online); or
- A minimum score of 169 for Cambridge English: Advance (CAE)/Proficiency (CPE) /Preliminary (PET) /First (FCE)/ Linguaskill Online min. score 169/ Occupational English Test (OET) min. score 250; or
- A minimum score of 59 for Pearson Test of English (PTE); or
- A minimum of Band 109 for CIEP Level (ELS); or
- A minimum of Band 4 for Malaysian University English Test (MUET)
Exemption is given to candidate if:
- English is the candidate’s mother tongue or National Language; or
- Candidate graduated from an Institution of Higher Learning in which the medium of instruction at Bachelor and/or Master degree level is English (statement of proof required)
IMPORTANT: Candidates are required to provide any of the above English result upon application. Incomplete application will be rejected.
Full-time: Min 2 years / Max 5 years
Part-time: Min 3 years / Max 7.5 years
Malaysian (MYR) | |
Full Time | Part Time |
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International (USD) | |
Full Time | Part Time |
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** Fees are subject to change