Doctor of Philosophy in Data Science
Doctor of Philosophy in Data Science
Award Title
Doctor of Philosophy
Offering Academic Unit
School of Data Science
Mode of Study

Credit Units Required for Graduation

20 and SG8001

Programme Aims

The programme aims to train and produce independent researchers with state-of-the-art expertise who can create original knowledge through innovative research.

Programme Intended Learning Outcomes (PILOs)

Upon successful completion of this Programme, students should be able to:

1. Apply a thorough understanding of the fundamental concepts of their research areas;
2. Adopt excellent methodology and critical thinking in the generation of innovative research; 
3. Generate new strategies/methods to develop internationally competitive research in their fields of expertise;
4. Apply effective communication skills in relation to research.

Programme Requirements

Research Area(s) in which research students will be admitted to:

  • Applied Mathematics
  • Business and Management (Big Data, Knowledge and Innovation, and Healthcare)
  • Computer Science
  • Environmental Science, Energy and Built Environment
  • Mechanical Engineering and Sustainable Manufacturing

Programme Core Courses: (9 credits)
Course CodeCourse TitleCredit Units
SDSC8003Machine Learning3
SDSC8004Advanced Statistics3
Research Methodology and Ethics Course(s): ( 2 credits)
Course CodeCourse TitleCredit Units
SDSC8001Seminars on Data Science I1
SDSC8002Seminars on Data Science II1

Programme Electives: (9 credits)

All other SGS approved courses for PhD students. 

Students are required to complete 9 credits of postgraduate courses prescribed by their supervisor based on the relevance of research work. 

Please refer to the updated list of approved courses for research students posted in the SGS website.
Other Requirement (not counted towards the University coursework requirement)
Course CodeCourse TitleCredit UnitsRemarks
SG8001Teaching Students: First Steps1
-Collaborative Institutional Training Initiative (CITI) programme-An online training course on research integrity. Compulsory for RPg students who admitted in 2018/19 and thereafter. To be completed in the first year of study. Details are available in SGS website.

Qualifying Examination (for PhD only):
A written qualifying examination is mandatory for all full-time and part-time PhD students, including those under joint PhD programmes, who commenced study in 2019/20 and thereafter. It is an additional requirement on top of the existing Qualifying Report and Annual Progress Report assessment. A maximum of two attempts will be allowed. Those students who cannot pass the examination by the deadline will result in termination of study.

Qualifying/Annual Report Submission:
Students are required to submit qualifying report and annual report in compliance to the regulations or guidelines as set by the School of Graduate Studies (SGS). Such regulations and guidelines are accessible via the guidebook located at SGS website.


Each student is required to submit a well written thesis to complete the PhD programme of studies.

The thesis must be a scholarly piece of work that can adequately demonstrate the student’s

  • competence in the application of research methodology and tools to undertake an independent scientific enquiry;
  • in-depth knowledge and understanding of a chosen area in advanced manufacturing and technology management; and
  • contribution to the creation of new knowledge in a chosen area of advanced manufacturing and technology management.

In addition, the thesis should also exhibit more than one of the following characteristics:

  • displays a high level of critical understanding and intellectual accomplishment of the chosen area in advanced manufacturing and technology management
  • makes substantial academic contribution to knowledge 
  • makes substantial innovative contribution to professional practices 
  • publishable in the mainstream research or professional journals

The submitted thesis will be examined by a panel of examiners.