Specialisation in Industry 4.0
Introduction
(Available from AY22/23 onwards)
The Industry 4.0 Specialisation within the Bachelor of Engineering (Computer Engineering, Electrical Engineering, Mechanical Engineering, and Chemical Engineering) curriculum at NUS is a multi-disciplinary study drawing expertise from various departments. The specialisation allows students to learn about machines augmented with sensors which communicate with each other, servers, the cloud, and people to enhance autonomy, visualisation and decision making. Design systems to boost industrial productivity. The Industry 4.0 specialisation will equip students for the digitalised industry and the challenges associated.
The Fourth Industrial Revolution, Industry 4.0, is revolutionising manufacturing processes by integrating operation and information technologies with the aim of increasing productivity. The advent of Industry 4.0 and availability of Big Data have transformed how industries manage operations, maintenance, and productivity. Sensor data generated from IoT-powered manufacturing systems enable the use of data analytics and machine learning for system health monitoring and optimisation.
The advent of Industrial Internet of Things (IIoT) is transforming production plants into cyber physical systems that generate Big Data throughout the operational life cycle. The large amounts of data and interconnectivity among machineries have led to new opportunities and challenges for the manufacturing industry. Digitalisation, a key component of Industry 4.0, achieves production optimisation through real-time monitoring of asset performance, data analytics and predictive maintenance.
Structure of the Programme
You spend the first two years building a solid foundation in engineering. Specialisation starts from Stage 3. Students will need to complete 20 MCs according to the following requirements:
- Complete two compulsory modules (a) EE3331C Feedback Control Systems (4 MCs) or ME2142 Feedback Control Systems and (b) EE3306 / ME3163 Introduction to Cyber Physical Systems (4 MCs).
- Complete three electives (12 MCs) from a basket of modules.
| Requirements – 20 MCs | Two core modules | Three technical electives | ||
|---|---|---|
| Two core modules (8 MCs) |
EE3331C/ME2142Â Feedback Control Systems | |
| EE3306/ME3163Â Introduction to Cyber Physical Systems | ||
| Three electives (12 MCs) |
EE4211Â Data Science for IoT EE4212Â Computer Vision EE4302Â Advanced Control System EE4303Â Industrial Control Systems EE4305Â Fuzzy/Neural Systems for Intelligent Robotics EE4307Â Control System Design and Simulation |
ME3242Â Automation ME4262Â Automation in Manufacturing ME4248 Simulation and Control of Manufacturing Systems ME4246 Modern Control Systems ME5405Â Machine Vision CN4227RÂ Advanced Process Control CN4221RÂ Control of Industrial Processes |
Careers
Industry 4.0 encompasses various areas, viz., Artificial Intelligence, Augmented & Virtual Reality, Blockchain, Collaborative Robotics, 3D Printing, Drones and Internet of Things (IoT). There is no integrated programme that brings together these areas. The programme is also targeted at engineering from various disciplines and focuses on practical applications.
With the specialisation, students will have basic knowledge with their University-wide and respective department requirements in the first two years. The Industry 4.0 specialisation is aimed to expose students to various relevant areas and prepare them for the fast-changing industry with digitalisation. The specialisation will enable the students to work in Industry 4.0 relevant areas.
The target industries are widespread due to the various areas related to Industry 4.0. The industries include advanced engineering sectors, manufacturing, healthcare, and service industries. Relevant job scopes include industrial automation, robotics, IoT, technology development, engineering support and preventive maintenance, new product development and process development.
Admission Requirements
The Industry 4.0 specialisation is aimed to prepare future ready graduates where digitalisation is transforming industries. With exposures along Industrial Automation, Internet of Things, Robotics, Artificial Intelligence and Deep Learning, the programme will ready the workforce for high-tech industries in Singapore.
You may apply for admission at the point of entry into the NUS BEng programmes in Computer Engineering, Electrical Engineering, Mechanical Engineering or Chemical Engineering. You may also apply later in Stage 3 of your studies, subject to places being available and meeting a minimum CAP of 3.5. Your selection to and continuation in the specialisation is based on overall merit, as well as your aptitude in related foundational modules.