Our PhD programme is designed to hone graduates who are innovative and impeccably knowledgeable in the area of computer science particularly in artificial intelligence, machine learning, evolutionary computation and Big Data science. In line with the principles of entrepreneurship, innovation and sustainability, the programme is engineered to provide a holistic platform for individual success and professional development through high-quality research training and prudent guidance.

Phase 1

• Coursework (Two core courses)
  • Research Process and Academic Writing
  • Research Design and Methodology

The Colloquium 

Allows students to gain public speaking experience, learn about student research from fields within and outside their academic discipline, and experience judging methods used by professional panels for national and international meetings.


Phase 2

• Proposal Defence
  • Each student must submit the first three chapters of his or her thesis for internal assessment. They must then present and defend their PhD research proposal. The student is only allowed to continue with the research to Phase 3 on the passing of the defence of their proposal.

Phase 3

• Data Collection and Thesis Preparation
  • The student proceeds to his/her data collection, data analysis and thesis writing

The Work Completion Seminar 

Serves as a moderation process to assess whether the work done by the candidate is sufficient for the PhD degree. The candidate must pass this before their thesis is allowed to proceed to Viva Voce.


Phase 4

• Viva Voce
  • After submitting the thesis, the students is required to attend a Viva Voce to defend his/her thesis