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 

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 and Knowledge Engineering
01 Natural Language Processing
02 Automated Translation
03 Speech Recognition
04 Speech Synthesis
05 Semantic Web Search
06 Text Summarisation
07 Health Informatics
08 Knowledge Management and Engineering
09 Data Mining

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
06 Parallel Sequence Analysis Algorithms
07 Parallel Structure Prediction Algorithms
08 Concurrency Theory in Biology
09 Parallel Biological Data Mining

COM32 – Networks
01 Embedded System
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

Applicants should possess the following:

• A Master’s degree in Computer Science/ Information Technology or equivalent or
• A Master’s degree in Electronic Engineering/ Electrical Engineering/ Computer Engineering (60% of the core component must be Computer Science related) with
• A minimum CGPA of 3.00 or equivalent or
• A Bachelor’s degree with GGPA with greater than 3.67in related areas.

(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)

Prerequisite Courses: These requirements are indicated in your offer letter.

• EKC500 (Science and Engineering Research Methodology)
• LKM111 (Malaysian Culture and Malay Language) - for international students only

You may register for EKC500 and LKM111 in the upcoming semester through the Campus Online portal (https://campusonline.usm.my).

Additional prerequisite courses may be indicated in your offer letter, if any.

Publication Requirement: You are required to fulfil the publication requirement, (https://shorturl.at/5IPNN) within your candidature period as a requirement for graduation.

The following requirements need to be fulfilled although not indicated in your offer letter. These requirements are aimed at monitoring your progress and ensuring your active participation in our academic programs:

• CCS591 (Research and Empirical Methods in Computer Science): Starting from Semester I 2024/2025, students are only required to sit-in (physical mode) with attendance of at least 70%. The student must register this course by filling in the CCS591 Registration Form available at the School of Computer Sciences.
• Proposal Review: To be presented by the end of the first year of candidature for PhD students or the 6 months for Master of Computer Science students.
• CSD Points: Students need to collect a total of at least 40 CSD points based on student participation in related research activities during the candidature period. The minimum collection of 40 CSD points will serve as the requirements before the student proceeds to the Research Review stage.

CSD points can be collected from the following activities: Computer Science Postgraduate Colloquium (CSPC) (it is compulsory to attend twice during your candidature.

Students are required to fill in the CSD point collection form yearly according to each research activity category, and submit it together with evidence to Ms. Sheela Muniandy every December.

CDS Point Collection Form: https://shorturl.at/0U1e2

The form will be verified by the School, and the student will be notified about the status of CSD point collection through email. Also, an email notification will be sent to students once a minimum collection of 40 points has been collected.

• Research Review: To be presented by the end of 2 years after clearing the Proposal Review, and is a requirement before being eligible to submit the Notice of Thesis Submission form (for PhD students only).