Master of Science (Information Technology) (By Research)

The faculty offers two accredited postgraduate programme by research, namely Master of Science (Information Technology) and Doctor of Philosophy (Information Technology). The research programmes are designed for students who wish to pursue an academic or industrial career in IT. The programmes equip students with knowledge and skills to solve fundamental problems in ICT and to meet the needs and demands of the society.

• A Bachelor’s degree with minimum CGPA of 3.00 or equivalent, in a Computer Science or Information Technology or relevant field from MMU or institutions recognised by the Senate; OR
• A Bachelor’s degree or equivalent with minimum CGPA of 2.50 and not meeting CGPA of 3.00, in a Computer Science or Information Technology or relevant field from MMU or institutions recognised by Senate, can be accepted subject to rigorous internal assessment; OR
• A Bachelor’s degree or equivalent not meeting CGPA of 2.50, in a Computer Science or Information Technology or relevant field from MMU or institutions recognised by the Senate, can be accepted subject to a minimum of five (5) years working experience in the relevant field.
• English Entry Requirement:
  • Minimum IELTS overall band score of 6.0 or its equivalent*
  • *The equivalency table is as below:

    English Competency	CEFR High B1	CEFR Low B2	CEFR Mid B2	CEFR High B2
    IELTS	5.0	5.5	6.0	6.5
    TOEFL iBT	42	46	60	79
    MUET	Band 3	Band 3	Band 4	Band 4
    Pearson Test of English	47	51	59	63
    Cambridge Qualifications and Test	154	160	169	176

  • In addition to the above, any other qualification which is of equivalent level as determined by the Senate of the University.
  • The English language requirement is waived for the candidates who are natives of and/or have completed their Bachelor’s or Master’s degrees from countries that use English as the medium of instruction as well as the first language.

Fields of Research

• Security Technology
• Cryptography
• Cloud Computing and IoT
• Artificial Intelligence and Machine Learning
• Computer Vision
• Wireless Communication and Networking
• Information Systems and Data Analytics
• Speech and Signal Processing
• Human Computer Interaction
• Natural Language Processing

Contact the institution for current information.