Research Area(s) in which research students will be admitted to:
- Business and Management (Big Data, Knowledge and Innovation, and
- Computer Science
- Environmental Science, Energy and
- Mechanical Engineering and Sustainable Manufacturing
|Programme Core Courses: (9 credits)|
|Research Methodology and Ethics Course(s): ( 2 credits)|
|Course Code||Course Title||Credit Units|
|SDSC8001||Seminars on Data Science I||1|
|SDSC8002||Seminars on Data Science II||1|
Programme Electives: (9 credits)
All other SGS approved courses for PhD 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 Code||Course Title||Credit Units||Remarks|
|SG8001||Teaching Students: First Steps||1|
|-||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.