Bachelor of Engineering in
Intelligent Manufacturing Engineering (BENG ITME)
工學(xué)士 (智能製造工程學(xué))
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Admission Code: JS1216 for JUPAS (HKDSE) applicants 1216 for Direct/non-JUPAS applicants 1706A for Advanced Standing I applicants |
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全面培訓(xùn) 成就多元出路
The Department of Systems Engineering (SYE) offers a single major, the BEng in Intelligent Manufacturing Engineering. This major aims to develop the abilities of our students in integrating intelligent manufacturing systems with:
- Industrial Internet of Things,
- Automation and Robotics,
- Management Analytics,
- Artificial Intelligence, and
- Industrial Big Data
As an outcome, our graduates will possess the practical skills in engineering sciences, design innovations, automation and data analytics, so that:
- Our graduates can apply these skills to improve and innovate various operations of modern manufacturing enterprises in the Industry 4.0 setting;
- Our graduates can also apply these skills to service industries and commercial enterprises, in automating their various business operations, to push for ever higher efficiency.
What You Will Be Studying
Our curriculum provides the students with systematic training in engineering sciences, design innovations, automation and data analytics, with a focus on intelligent manufacturing. Specifically:
- The General Education and College required courses equip students with the necessary background in English, basic sciences and computer programming.
- The major core courses are divided into three blocks, namely, the Core Technology Block, Integration Block and Application Block –
- The Core Technology Block includes the scientific principles and applications in industrial engineering and management science, electronics and semiconductor, and advanced manufacturing technologies.
- The Integration Block emphasizes the integration of cutting-edge knowledge and applications, particularly in data analytics, intelligent manufacturing systems, automation and robotics, Internet-of-Things, and Industry 4.0.
- The Application Block provides practical opportunities and industrial experience to the students with the Engineering Workshop, Final-Year Project, Industrial Attachment and Internship.
- Our curriculum also offers elective courses for students with choices to broaden/deepen their knowledge in areas such as electronics, manufacturing technology, and industrial systems engineering.
Source: Hong Kong Productivity Council
Source: Department of Systems Engineering
1. Core Courses (66 credit units)
| Course Code | Course Title | Credit Units |
|---|---|---|
| MNE3007 | CAD/CAM | 3 |
| MNE3046 | Automation Technology | 3 |
| MNE3119 | Manufacturing Technology | 3 |
| MSE2102 | Introduction to Materials Science and Engineering | 3 |
| SYE2010 | Fundamental Engineering Analysis and Design for Manufacturing Engineers I | 3 |
| SYE2011 | Fundamental Engineering Analysis and Design for Manufacturing Engineers II | 3 |
| SYE2016 | Manufacturing Engineering Workshop | 0 |
| SYE2046 | Numerical Computation for Manufacturing and Systems Engineerings | 3 |
| SYE2100 | Engineering Statistics and Experimentation | 3 |
| SYE2339 | Smart City - a Systems Engineering Perspective | 3 |
| SYE3003 | Design and Analysis of Manufacturing Processes and Systems | 3 |
| SYE3004 | Production Planning and Control | 3 |
| SYE3060 | Operations Research | 3 |
| SYE3102 | Quality Engineering | 3 |
| SYE4001 | Digital Manufacturing and Operations | 3 |
| SYE4002 | Fundamentals of Advanced Packaging | 3 |
| SYE4003 | Artificial Intelligence and Advanced Technology in Manufacturing and Operations | 3 |
| SYE4005 | Industrial Data and Manufacturing Analytics | 3 |
| SYE4006 | Semiconductor Manufacturing and Process Control | 3 |
| SYE4036 | Manufacturing Systems Modelling and Optimization | 3 |
| SYE4064 | Reliability Engineering | 3 |
Select ONE from the following:
| Course Code | Course Title | Credit Units |
|---|---|---|
| SYE4068 | Final Year Project | 6 |
| SYE4068C | Final Year Project | 6 |
| SYE4116 | Capstone Project II | 6 |
2. Electives (15 credit units)
| Course Code | Course Title | Credit Units |
|---|---|---|
| EE1002 | Principles of Electrical Engineering | 3 |
| EE2005 | Electronic Devices and Circuits | 3 |
| EE2000 | Logic Circuit Design | 3 |
| EE3009 | Data Communications and Networking | 3 |
| EE3315 | Internet Technology | 3 |
| MNE2109 | Engineering Mechanics | 3 |
| MNE4032 | Robotics and Machine Vision | 3 |
| MNE4125 | Principles and Transport Process Fundamentals of Semiconductor Manufacturing | 3 |
| MSE4178 | Nanostructures and Nanotechnology | 3 |
| PHY3202 | Modern Physics | 3 |
| SDSC2004 | Data Visualization | 3 |
| SYE3018 | Control Systems | 3 |
| SYE3026 | Contemporary Human Factors for Industry 4.0 | 3 |
| SYE3101 | Basic Methodologies and Tools for Risk Engineering | 3 |
| SYE3116 | Capstone Project I | 3 |
| SYE4007 | eLogistics and Supply Chain Management | 3 |
| SYE4024 | Project Management | 3 |
| SYE4027 | Occupational Safety for Intelligent Manufacturing Systems | 3 |
| SYE4035 | Quality and Environmental System and Management | 3 |
| SYE4047 | Directed Studies | 3 |
| SYE4059 | Non-Destructive Testing Technologies for Process Monitoring and Inspection | 3 |
| SYE4103 | Decision Analysis and Risk Management | 3 |
| SYE4108 | Product Development and Innovation | 3 |
For Undergraduate plus Master’s Degree Programmes only
A maximum of 9 credit units of P5 and/or P6 courses can be used to fulfill the MSc degree requirements.
| Course Code | Course Title | Credit Units |
|---|---|---|
| SYE5009 | Industrial Marketing Management for Engineers | 3 |
| SYE5010 | Engineering Management Principles and Concepts | 3 |
| SYE6009 | Project Management | 3 |
| SYE6012 | Technological Innovation and Entrepreneurship | 3 |
| SYE6015 | Supply Chain Management | 3 |
| SYE6053 | Business Process Improvement and Innovation | 3 |
| SYE6102 | Managerial Decision-making Systems with Artificial Intelligence | 3 |
| SYE6103 | Financial Engineering for Engineering Managers | 3 |
| SYE6106 | Intelligent Manufacturing for Engineering Managers | 3 |
| SYE6107 | Contemporary Occupational Safety and Health Management | 3 |
| SYE6110 | Data Analysis and Artificial Intelligence for Systems Engineering | 3 |
| SYE6111 | Transportation and Logistics Management | 3 |
3. Optional Courses
| Course Code | Course Title | Credit Units | Remarks |
|---|---|---|---|
| FS2002 | Industrial Attachment Scheme | 3 | Minimum 6 weeks |
| FS3002 | Industrial Attachment Scheme | 3 | Minimum 6 weeks |
| FS4001 | Co-operative Education Scheme (CES) | 8 | Internship (8 to 12 months) |
| FS4002 | Industrial Attachment Scheme | 3 | Minimum 6 weeks |
Undergraduate plus Master’s Degree Programme
As part of the CityUHK Talents Programme, high-caliber BEng in Intelligent Manufacturing Engineering students can opt for the “Undergraduate plus Master’s Degree Programme” route to earn a bachelor’s degree and a master’s degree upon graduation. Click here to find out more details about this exciting opportunity!
Career Placements
Our graduates have a board range of career opportunities in industrial, services oriented and business enterprises. There is a strong demand for intelligent manufacturing related posts in the industry.
View Career Profiles
Professional Recognition
This programme has been granted provisional accreditation by the Hong Kong Institution of Engineers (HKIE).
Programme Leader
Professor DU Xiaohan
Email: xiaohadu@cityu.edu.hk
Major Structure / Major Requirements
Normative 4-year Degree
Advanced Standing I
Student Handbook and Model Study Path
2024/25
2023/24
2022/23
2021/22
Last modified on 27 March, 2025