Master of Science in Smart Manufacturing
Entrance Year Sept 2025
Programme Code 45100
Stream Code
SMF (Full-time)
SMP (Part-time)
Mode of Study Mixed Mode
Normal Duration
1.5 years (Full-time)
2.5 years (Part-time)
Fund Type Self-Financed
Credits Required for Graduation
31
Initial Registration Credits
6 for local students
12 for non-local students
Local Application Deadline 30 Apr 2025 * Early Round Application Deadline: 2024-11-21; Main Round Application Deadline: 2025-04-30
Non-Local Application Deadline 30 Apr 2025 * Early Round Application Deadline: 2024-11-21; Main Round Application Deadline: 2025-04-30
Tuition Fees
HK$231,000 per programme
Programme Leader(s)
Prof. George Huang
BEng., PhD., CEng., FASME, FCILT, FHKIE, FIET, FIISE
Prof. Sandy To
BEng., MPhil, PhD., MCIRP, MIEEE, MIET, MASPE
Remarks
This programme is offered within the Postgraduate Scheme in Industrial and Systems Engineering.
Aims and Characteristics
Programme Aims
The Master of Science in Smart Manufacturing programme is with aims as follows:
- To equip students with an in-depth knowledge of smart manufacturing technologies and developments;
- To prepare students with the capabilities of developing, selecting, deploying and managing smart manufacturing solutions by assessing industrial needs for real-life applications of digital transformation and upgrading;
- To train students with the ability to integrate smart manufacturing into global supply chain context; and
- To prepare students with the ability of manufacturing management and the enthusiasm of enrolling themselves into the process in a lifelong learning setting by leverage the power of smart manufacturing.
Intended Learning Outcomes (ILOs)
The programme has the following intended learning outcomes:
- Professional knowledge: Graduates from the programme will possess professional knowledge and skills in the smart manufacturing area. They will be able to apply their professional knowledge learned from this programme to develop and enhance their future professional careers.
- Competence of specialists and leadership: Graduates will have their professional competence in the areas of smart factory and industrial analytics.
- Systems and innovative thinking: Graduates will be able to think holistically in dealing with complex problems and situations pertinent to their professional practices in Industrial 4.0. They will be versatile problem solvers with good mastery of critical thinking and innovative skills.
- Lifelong learning capability: Graduates will be able to recognize the need for, and engage in lifelong learning.
