Bachelor of Engineering in
Intelligent Manufacturing Engineering (BENG ITME)
工學士 (智能製造工程學)
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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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Future Intelligent Engineering Entrepreneur 明日智能工程企業家
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 |
|---|---|---|
| ADSE2010 | Fundamental Engineering Analysis and Design for Manufacturing Engineers I | 3 |
| ADSE2011 | Fundamental Engineering Analysis and Design for Manufacturing Engineers II | 3 |
| ADSE2046 | Numerical Computation for Manufacturing and Systems Engineerings | 3 |
| ADSE2339 | Smart City - a Systems Engineering Perspective | 3 |
| MSE2102 | Introduction to Materials Science and Engineering | 3 |
| ADSE2016 | Manufacturing Engineering Workshop | 0 |
| ADSE2100 | Engineering Statistics and Experimentation | 3 |
| MNE3007 | CAD/CAM | 3 |
| MNE3046 | Automation Technology | 3 |
| MNE3119 | Manufacturing Technology | 3 |
| ADSE3003 | Design and Analysis of Manufacturing Processes and Systems | 3 |
| ADSE3004 | Production Planning and Control | 3 |
| ADSE3060 | Operations Research | 3 |
| ADSE3102 | Quality Engineering | 3 |
| MSE4171 | Electronic Packaging and Materials | 3 |
| ADSE4001 | Digital Manufacturing and Operations | 3 |
| ADSE4003 | Artificial Intelligence and Augmented Reality in Manufacturing and Operations | 3 |
| ADSE4005 | Industrial Data and Manufacturing Analytics | 3 |
| ADSE4006 | Semiconductor Manufacturing and Process Control | 3 |
| ADSE4036 | Manufacturing Systems Modelling and Optimization | 3 |
| ADSE4064 | Reliability Engineering | 3 |
Select ONE from the following:
| Course Code | Course Title | Credit Units |
|---|---|---|
| ADSE4068 | Final Year Project | 6 |
| ADSE4068C | Final Year Project | 6 |
| ADSE4116 | 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 |
| MNE2109 | Engineering Mechanics | 3 |
| SDSC2004 | Data Visualization | 3 |
| EE3009 | Data Communications and Networking | 3 |
| EE3315 | Internet Technology | 3 |
| PHY3202 | Modern Physics | 3 |
| ADSE3026 | Contemporary Human Factors for Industry 4.0 | 3 |
| ADSE3101 | Basic Methodologies and Tools for Risk Engineering | 3 |
| ADSE3116 | Capstone Project I | 3 |
| MNE4032 | Robotics and Machine Vision | 3 |
| MNE4125 | Principles and Transport Process Fundamentals of Semiconductor Manufacturing | 3 |
| MSE4127 | Smart Sensors: From Engineering to Applications | 3 |
| MSE4175 | Advanced Technology in Biomedical Devices | 3 |
| MSE4178 | Nanostructures and Nanotechnology | 3 |
| PHY4265 | Semiconductor Physics and Devices | 3 |
| ADSE4007 | eLogistics and Supply Chain Management | 3 |
| ADSE4024 | Project Management | 3 |
| ADSE4027 | Occupational Safety for Intelligent Manufacturing Systems | 3 |
| ADSE4035 | Quality and Environmental System and Management | 3 |
| ADSE4047 | Directed Studies | 3 |
| ADSE4103 | Decision Analysis and Risk Management | 3 |
| ADSE4108 | Product Development and Innovation | 3 |
For Undergraduate plus Taught Postgraduate 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 |
|---|---|---|
| ADSE5009 | Industrial Marketing Management for Engineers | 3 |
| ADSE5010 | Engineering Management Principles and Concepts | 3 |
| ADSE6009 | Project Management | 3 |
| ADSE6012 | Technological Innovation and Entrepreneurship | 3 |
| ADSE6015 | Supply Chain Management | 3 |
| ADSE6103 | Financial Engineering for Engineering Managers | 3 |
| ADSE6106 | Intelligent Manufacturing for Engineering Managers | 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 Degree Plus Taught Postgraduate Degree Programme
As part of the CityU Talents Programme, high-caliber BEng in Intelligent Manufacturing Engineering students can opt for the “Undergraduate Degree Plus Taught Postgraduate 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 major is designed to meet the accreditation requirement of the Hong Kong Institution of Engineers (HKIE). Accreditation from HKIE will be sought.
Major Leader
Professor Andy H.F. CHOW
Email: andychow@cityu.edu.hk
Major Structure / Major Requirements
Student Handbook and Model Study Path
Last modified on 28 September, 2023