Doctor of Philosophy (Computer Science)



The Doctor of Philosophy, Field: Computer Science is offered on a full-time basis. The programme is offered only at the UTM Main Campus in Johor Bahru. The duration of study for the programme is subjected to the student’s entry qualifications and lasts between three (3) years to a maximum of six (6) years.

The programme is offered on full-time only and are based on a 2-Semester per academic session. This is a full research programme. The candidate is supervised by a qualified academic staff. The directed research work introduces candidates to the process by which new knowledge is developed and applied accordingly. Assessment is done by examining first assessment reports (research proposal), each semester’s progress reports, and thesis examination (viva-voce).

General Information

1.   Awarding Institution Universiti Teknologi Malaysia
2.   Teaching Institution Universiti Teknologi Malaysia
3.   Programme Name Doctor of Philosophy in Computer Science
4.   Final Award Doctor of Philosophy in Computer Science
5.   Programme Code PCSSA2AJA
6.    Professional or Statutory Body of Accreditation Ministry of Higher Education
7.    Language(s) of Instruction English

8.   Mode of Study (Conventional, distance learning, etc)


9.   Mode of operation (Franchise, self-govern, etc) Self-governing
10. Study Scheme Full Time
11. Study Duration

 Minimum : 6 semesters

Maximum:12 semesters


Type of Semester No. of Semesters No of Weeks/Semester
Full Time Part Time Full Time Part Time
Normal 6 12


Course Classification 

No. Classification Credit Hours Percentage
i. University Courses 3 100%
ii. Core Courses 0 0%
iii.  Research 0 0%




3 100%
Total Credit Hours to Graduate   3 credit hours


After having completed the programme, graduates should be able to:

  • Apply knowledge critically to solve complex issues in a field of computing and digital technology through research.
  • Investigate and comprehend new and complex information and problems from the field of computing and digital technology
  • Apply research skills to solve complex issues and problems in a field of Computing and Digital Technology with high degree of originality and independence
  • Collaborate with different people in communities ethically and professionally.
  • Communicate effectively the results of research and scholarship by oral and written communication.
  • Use digital technologies and software to support research works or studies competently
  • Analyse numerical and graphical data using quantitative or qualitative tools in solving problems.
  • Demonstrate leadership, autonomy and responsibility in conducting and managing research and resources.
  • Exemplify self-advancement through continuous academic development
  • Initiate entrepreneurial project with relevant knowledge and expertise.
  • Demonstrate respectable ethical research conducts and professionalism skills in an organization and society.


  1. Information Assurance and Security
  • Web Filtering
  • Cyber Threat Analytic
  • Intrusion Detection/Prevention System
  • Malware Detection
  • Digital Forensic
  • Cryptography
  • Watermarking & Information Hiding
  • IoT and Wireless Sensor Security
  • Information Security & Management
  • Information Disaster & Risk Management
  1. Applied Industrial Analytics
  • Modeling
  • Optimization
  • Simulation
  • Industrial Analytics
  • AI-Softcomputing
  1. Pervasive Computing
  • Internet of Things
  • Wireless Sensor Network
  • Wireless Mesh Network
  • Mobile Ad Hoc Network (MANET)<
  • Vehicular Ad Hoc Network (VANET)
  • Wireless Body Area Network
  • Cloud Computing
  • Network Security
  • Blockchain
  1. Soft Computing
  • Computational Intelligence
  • Data Mining and Knowledge Discovery
  • Pattern Recognition
  • Intelligent Database Systems
  • Information Retrieval and Text Analytics
  • Intelligent E-Learning
  • Intelligent Computer Aided Manufacturing
  • Medical Informatics
  • Cheminformatics and Bioinformatics
  • Intelligent Financial Analysis
  1. Software Engineering
  • Software Modeling and Specification
  • Software Quality and Testing
  • Software Usability and Reusability
  • Software as Service
  • Dependable Embedded Real-Time Systems
  • Agile Software Development
  • Intelligent Software Systems
  • Model Driven Architecture
  • Software Product Line
  • Software Maintenance and Evolution.
  1. Visual, Visualisation and Vision
  • Computer Graphics and Visualization
  • Computer Vision
  • Image Processing
  • Speech Processing
  • Human Computer Interaction
  • Webometric
  • Intelligent System
  1. Artificial Intelligence and Bioinfomatics
  • Bioinformatics<
  • Computational Biology
  • Artificial Intelligence
  • Operation Research
  • Image Processing In Silico Biotechnology
  • Timetable/Scheduling
  • Pattern Recognition
  • Computational Manufacturing
  1. Information Engineering Behavioral Informatics
  • Pattern Recognition
  • Multimedia Information Retrieval
  • Intelligent Database Systems and Data Warehousing
  • Intelligent E-Learning
  • Intelligent Computer Aided Manufacturing
  • Medical Informatics
  • Chemo-informatics
  • Bioinformatics
  • Text Analytics
  • Intelligent Financial Analytics
  • Modelling and Simulation
  • System Dynamics Analysis

Award Requirements

To graduate, students must:

  • Achieve a total minimum of 3 credits hours with a minimum CPA of 3.0.
  • Successfully defend a comprehensive oral examination (viva voce) of the thesis submitted at the completion of study.
  • Graduation Checklist

Further Information

Associate Chair
(Academic & Student Development)
School of Computing
Faculty of Engineering
Universiti Teknologi Malaysia
81310 UTM Johor Bahru, Johor, Malaysia
Tel : 607-553 2009
Fax : 607-553 8829


Program Coordinator
Tel : 607-553 8758
Fax : 607-553 8822 / 553 8829