Bachelor of Engineering in
Intelligent Manufacturing Engineering (BENG ITME)
工學士 (智能製造工程學)

Admission Code:
JS1216 for JUPAS (HKDSE) applicants
1216 for Non-JUPAS (local), international, or mainland applicants

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BENG ITME

The Department of Advanced Design and Systems Engineering (ADSE) offers a single major, the BEng in Intelligent Manufacturing Engineering. This major emphasizes the integration of intelligent manufacturing systems, modeling and optimization, artificial intelligence, industrial big data, industrial Internet of Things, automation and robotics, management analytics and advanced manufacturing technologies. This multi-disciplinary programme aims to produce graduates who are capable of using cutting-edge engineering knowledge, computational, experimental and analytical techniques to plan, design, implement and improve technology-based manufacturing and operations systems.

What You Will Be Studying

The curriculum provides the students with systematic training in systems engineering, with a focus on intelligent manufacturing. Specifically, the GE and College required courses equip students with the necessary background in English, basic science 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, knowledge and application in disciplines of industrial systems engineering, electronics and semiconductor, and advanced manufacturing technologies. The Integration Block emphasizes the integration of cutting-edge knowledge and up-to-date applications, particularly in data analytics, intelligent manufacturing systems and Industry 4.0. The Application Block provides practice opportunities and industrial experience to the students with the Engineering Workshop, Final-year project, Industrial attachment and Internship. The major electives offer an opportunity for students to broaden or deepen their knowledge in different disciplines of electronics, manufacturing technology, and industrial systems engineering.



Source: Hong Kong Productivity Council



Source: Department of Advanced Design and Systems Engineering


Our Target

The major aims to nurture students' cutting-edge engineering knowledge, computational, experimental and analytical techniques to plan, design, implement and improve technology-based manufacturing and operations systems. It emphasizes the technological, analytical and managerial skills of integrating different technologies in intelligent manufacturing systems.

BEng in Intelligent Manufacturing Engineering students are trained to become analytical and versatile engineering graduates with the right skill-sets to adapt to the rapid technological advancements in the world of modern enterprises, intelligent production, and boundary-less information flow and integration.

BEng in Intelligent Manufacturing Engineering graduates

  • have a good understanding of today’s science, engineering and technology;
  • are knowledgeable about the high-end technology and managerial skills of manufacturing system fitting the Industry 4.0;
  • use systems concepts and tools to analyse processes and operational problems in enterprises, and to improve processes, operations and qualities in enterprises; and
  • are equipped with analytic and quantitative skill sets to grapple with real-world problems that are associated with massive amounts of data and information in enterprises.


Core Courses

Course Code Course Title
GE2339 Smart City – a Systems Engineering Perspective
MNE2036 Engineering Computing
SEEM2016 Manufacturing Engineering Workshop
SEEM2100 Engineering Statistics and Experimentation
SEEM3003 Design and Analysis of Manufacturing Processes and Systems
SEEM3004 Production Planning and Control
SEEM3060 Operations Research
SEEM3102 Quality Engineering
SEEM4001 Digital Manufacturing and Operations
SEEM4003 Artificial Intelligence and Augmented Reality in Manufacturing and Operations
SEEM4005 Industrial Data and Manufacturing Analytics
SEEM4006 Semiconductor Manufacturing and Process Control
SEEM4036 Manufacturing Systems Modelling and Optimization
SEEM4064 Reliability Engineering
EE1002 Principles of Electrical Engineering
EE2005 Electronic Devices and Circuits
MSE2102 Introduction to Materials Science and Engineering
MSE4171 Electronic Packaging and Materials
MNE3007 Computer Aided Design and Manufacturing
MNE3046 Automation Technology
MNE3119 Manufacturing Technology
SEEM4068 / SEEM4116 Final Year Project / Capstone Project II

Electives

Course Code Course Title
EE2000 Logic Circuit Design
EE3009 Data Communications and Networking
EE3315 Internet Technology
PHY3202 Modern Physics
PHY4265 Semiconductor Physics and Devices
MSE4127 Smart Sensors: From Engineering to Applications
MSE4175 Advanced Technology in Biomedical Devices
MSE4178 Nanostructures & Nanotechnology
MNE2109 Engineering Mechanics
MNE3059 Intelligent Robot Design
MNE4032 Robotics and Machine Vision
MNE4048 Advanced Manufacturing Technologies
SDSC2004 Data Visualization
SEEM3026 Contemporary Human Factors for Industry 4.0
SEEM4007 eLogistics and Supply Chain Management
SEEM4024 Project Management
SEEM4027 Occupational Safety for Intelligent Manufacturing Systems
SEEM4035 Quality and Environmental System and Management
SEEM4103 Decision Analysis and Risk Management
SEEM4108 Product Development and Innovation
SEEM3116 Capstone Project I
SEEM4047 Directed Studies

Optional Courses

Course Code Course Title
FS4001 Co-operative Education Scheme (CES)
FS4002 Industrial Attachment Scheme (IAS)

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.

Typical starting positions:

  • Industrial Engineer
  • Manufacturing Engineer
  • Entrepreneur / Consultant
  • Project Engineer
  • Production / Operations Engineer
  • Quality Assurance / Quality Control Engineers
  • Reliability / Testing Engineer
  • ISO9000 / ISO14000 Controllers / Auditors
  • Logistics / Systems Engineer
  • Supply Chain / Materials / Procurement Engineer
  • Facilities and Distribution Engineer
  • Management Trainees / Graduate Trainees / Business Analyst Trainee

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.



* Notes:

  1. The University Grants Committee usually carries out a Planning Exercise every three years to review the recent development of local universities and assess the proposals for the future.
  2. The Planning Exercise for the 2022-25 triennium is in full swing and is targeted to be completed by the end of 2021.
  3. The acceptance of applications to this programme for 2022 entry will be confirmed later, pending the approval of the University Grants Committee.

Last modified on 4 June, 2021