MPhil in Smart Manufacturing
The Hong Kong University of Science and Technology
Key Information
Campus location
Hong Kong, Hong Kong
Languages
English
Study format
On-Campus
Duration
2 years
Pace
Full time
Tuition fees
HKD 42,100 / per year **
Application deadline
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Earliest start date
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** per year
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Introduction
Smart Manufacturing refers to the fully integrated, collaborative manufacturing systems that respond in real-time to meet changing demands and conditions in the smart factory, in the supply network, and in customer needs. It is the use of real-time data and cutting-edge technologies to support factories to make effective and accurate engineering decisions and create highly differentiated, cost-effective, and competitive products that match the market needs.
The Master of Philosophy (MPhil) Program in Smart Manufacturing aims to provide students with a detailed understanding of each level of the manufacturing process, combining skills in mathematics, science, and business to prepare them in developing innovative ways of systems design and product production. The program design focuses on providing fundamental knowledge as well as hands-on training in the curriculum. Students graduating from the program will be versatile and well-equipped to derive valuable insights and make sound decisions. The programs will also offer new pedagogical training to prepare research students with specialized and transferrable skills to cope with new manufacturing engineering settings.
A graduate of the MPhil Program should be able to demonstrate a good mastery of knowledge in process engineering, system design, and management aspects of manufacturing; establish competitive advantages for the company, and formulate strategies to meet challenges.
Admissions
Program Outcome
Learning outcomes
On successful completion of the MPhil program, graduates will be able to:
- Model a manufacturing system in order to create a formal process for characterizing manufacturing performance;
- Demonstrate a broad-based knowledge and process capability of various smart manufacturing technologies and production processes;
- Demonstrate critical thinking and analytical skills and apply them to manufacturing engineering;
- Conduct original research in areas of manufacturing and systems engineering and provide a scientific contribution to the discipline;
- Translate and transform fundamental research insights effectively into practical applications in the industry; and
- Apply cross-disciplinary knowledge and skills in data analytics, real-time sensing, and optimal planning to improve manufacturing process capabilities.