Faculty of Computer Science and Mathematics

Master of Computer Science

(by Coursework)


The purpose of this programme is to provide and prepare professional graduates to highlight potential in the field of Computer Science, drive and encourage the exploration of competitive and innovative knowledge in the development of education and research.

Students enrolled in this programme are required to fulfil forty (40) credits comprising coursework, Postgraduate Colloquium Project and a dissertation. The dissertation is submitted at the end of the programme. In some programmes, a comprehensive examination is required.

PEO1 Knowledgeable in Computer Science and able to use technical, scientific and critical thinking skills for any computing solution in various disciplines;

PEO2 Able to explore entrepreneurial or business opportunities involving computing technology, work professionally, ethically and keep abreast of the development of computer science and technology by practicing lifelong learning;

PEO3 Able to communicate effectively and sensitive to social issues and responsibilities and able to work individually or in teams; and

PEO4 Mastering digital and numeracy skills and willingly take on the leader role with the advanced knowledge of Computer Science in various disciplines


CSS5014 Software Project Management (4 credits)

This course exposes students to the project management planning, project evaluation and software project estimation. Student will also learn about risk management, resource allocation, monitoring and control and managing people and organizing teams. A project discussion will be held at the end of the course where students will implement software project management that have been learned.


This course introduces students to the techniques of how to measure the effectiveness of a computer algorithm. At the beginning of the course, students will be introduced to knowledge of functions, relational relations, and some notations including asymptotic notation, real-value functions and logarithms. Students will then be exposed to applications that use these notations to analyse an algorithm.

This course exposes the students to the technologies of Internet. Important topics such as Internet communication and networking, sensor networking, Internet of Things, security, measurement and peering of the Internet are taught to the students.

Machine learning is concerned with the question of how to make computers learn from experience. The ability to learn is not only central to most aspects of intelligent behaviour, but machine learning techniques have become key components of many software systems. This course covers both well-established and advanced machine learning techniques such as Neural Network, Support Vector Machines etc.

This course discusses the general methods used in conducting research. The style and method of writing a research proposal paper is also discussed. In addition, issues related to the attitude and value of professionalism as researchers and ethics in writing and publishing are also being highlighted in this course.

This course aims to provide a space for students to demonstrate social skills, teamwork and responsibility in organizing postgraduate colloquium ethically, morally and professionally. In addition, effective oral communication is also emphasized through the individual presentation of the organized colloquium.

This course enables students to expand their knowledge, understanding and skills that are required to solve problem in related field using scientific way. This includes planning, executing and presenting significant research output/project.


General Entry Requirements:

  • Bachelor’s Degree in Computer Science (Software Engineering) or Bachelor’s Degree in Computer Science (Informatics Maritime) with a minimum CGPA of 2.75 from UMT;


  • Bachelor’s degree with Honours in related field with a good grade, OR CGPA of 2.75/4.00 and above; from higher institution recognized by the Senate;


  • Candidate that obtained minimum CGPA 2.50 also qualify if they possesses minimum five (5) years’ work experiences in the related field;


  • Any other academic qualifications equivalent to Bachelor Degree and possesses related professional experiences recognized by the Senate;


  • Passed the APEL assessment conducted by MQA in Computer Science to be eligible for admission to Masters level programs (Level 7, Malaysian Qualifications Framework)
    * Candidate must furnish the APEL Certificate from MQA before the admission process


General Entry Requirements

  • International candidate that possesses qualifications equivalent to Bachelor’s Degree in Computer Science recognized by the Senate.


English Language Requirements

  • TOEFL IBT with minimum score 40; OR
  • TOFEL Essentials (Online) minimum score 7.5; OR
    IELTS with minimum band 6.0.

International students that obtained academic qualifications from Malaysian public higher institutions recognized by Senate are excluded from English qualification.




Additional Costs

RM   10,240

USD 7,220

Find out more about accommodation and living costs, plus general additional costs that you may pay when studying at UMT. 

Government funding

You may be eligible for government finance to help pay for the costs of studying. See the Government’s student finance website

Scholarships are available for excellence in academic and co-curricular activities, and are awarded on merit. For further information on the range of awards available and to make an application see our scholarships website.

Email : arifah_hadi@umt.edu.my
Phone: +609-668 3986 (office)
+6014-833 3058 (mobile)

Programme Information:


Apply online at : http://gsea.umt.edu.my