Doctor of Philosophy (Ph.D.) in Informatics

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Level: Doctor of Philosophy (Ph.D)

The PhD in Informatics is by research where the students under the supervision of senior faculty, will undertake independent research contributing towards the science of information, the practice of information processing, and the engineering of information systems. The student is required to complete a thesis research which must constitute a significant original contribution to the advancement of knowledge in the chosen topic. The research can be in a specialized area or across disciplines. Research of inter-disciplinary nature is especially encouraged.

Upon successful completion, the PhD holders take pride in being able to:

Demonstrate an in-depth understanding of the chosen discipline and mastery of skills and research methods related to the field of informatics or information technology.
Contribute to original research that broadens the boundary of knowledge through an in-depth thesis, which has been presented and defended according to international standards, including writing in international and local publications.

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Entry Requirement

Applicants are required to have a Master’s degree (Level 7, MQF): or an equivalent qualification in a relevant field from a recognized university; and Applicants are required to have a Master’s degree (Level 7, MQF): or an equivalent qualification in a relevant field from a recognized university; and Language Proficiency – Applicants will be required to provide documentary evidence of proficiency in English in one of the following examinations: Test of English as a MALAYSIAN UNIVERSITY ENGLISH TEST (MUET) at a score of 4.0 band, or higher; or Test of English as a Foreign Language (TOEFL) at a score of 600, or higher; or International English Language Testing Services (IELTS) at a minimum overall score of 6.5 and at least a 6.0 score in each individual component of the test

Course Content

  • Internet of Things (IoT)
  • IPv6
  • Big Data Analytics
  • Data Mining
  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Cyber/Information Security
  • Pattern Recognition
  • Health Informatics
  • Mobile Applications
  • Social Media Analytics
  • Industry 4.0-related topics

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