SGUS: Advanced Manufacturing

This programme is currently closed for registration. Please visit the NUS SGUS homepage for information on open programmes, or SkillsFuture Singapore’s website for more information and courses.


Programme Overview

The NUS SGUS Programme in Manufacturing Robotics and Automation is designed to train engineers in the fundamental knowledge and skills in robotics and automation. It covers data analytics for manufacturing engineers and provides upskilling opportunities in the areas of robotics, modern automation, manufacturing processes and control systems analysis and design.

NUS is glad to have the support of the following companies for the NUS SGUS Programme in Manufacturing Robotics and Automation:

GS Precision logo
Micron Logo -
Tranzplus LOGO


  • Basic background in mathematics, especially calculus, statistics and probability
  • Basic technical background in engineering, either academic or through work experience
  • At least a polytechnic diploma (or equivalent) in a program related to science and technology

Programme Fee   

Fees Payable by Trainee
(inclusive of GST)

Total Course Fees
(per pax)



NTUC members enjoy 50% of the unfunded course fee support for up to $250 each year for courses supported under UTAP (Union Training Assistance Programme). Terms and Conditions apply. Please visit

Programme Outline

NUS has specially constructed a programme where trainees will receive training not only in the deep skills required for the particular industry (Professional and Technological Literacy), but also in the broad interpersonal skills (Human and Managerial Literacy) and the increasingly important pillar of data and digital skills (Data and Artificial Intelligence Literacy).

Human and Managerial Literacy (1 month)

Professional Certificate in Human and Automated Managerial Skills

This Professional Certificate reinforces the importance of self-awareness, emotional intelligence, and habits for a positive mind-set. It also introduces computational thinking and the creation of simple yet powerful algorithmic solutions to tackle complex real-world problems. Through five courses, you will learn how to manage emotions, build supportive relationships, perform basic data analysis on Microsoft Excel, and create algorithms to identify and solve problems.

Success: Practical Thinking Skills

This award-winning, practical course helps you succeed in work and life, empowers you with the positive values for a resilient life and equips you with powerful problem-solving skills, demonstrated with the success stories and case studies on how to excel in a job interview and study in higher education. The current version (2.1) contains new materials that show how people/businesses may adopt the creative thinking skills in addressing the new world challenges brought on by COVID-19.

Data and Artificial Intelligence Literacy (1 month)

Professional Certificate in Data Analytics for Manufacturing Engineers

In this course, you will be (1) introduced to the basic concepts of data analytics, (2) reviewing traditional operations management principles and practices, and (3) examining how they can be enhanced by harnessing smart technologies that allow for large data collection, efficient data sharing, advanced analytics and increased automation. At the end of the course, you will have a good overview of data analytics and gain a better appreciation of how advances in these fields are changing modern day manufacturing facilities.

Introduction to the Internet of Things (IoT)

This introductory course will enable learners to leverage their business and/or technical knowledge across IoT-related functions in the workplace. In this course, you will examine the concept of IoT, look at the ‘things’ that make up the Internet of Things, how those components are connected together, how they communicate, and how they value add to the data generated. You will also examine cybersecurity and privacy issues, and highlight how IoT can optimize processes and improve efficiencies in your business.

Professional and Technological Literacy (4 months)

Professional Certificate in Robotics in Manufacturing Today

In this course, you will gain an understanding of what a robotic system is, its different components and how they interact with each other. This course will include a good balance of mathematical foundations and practical applications. You will be introduced to different terminologies and will be able to gain a basic understanding of these terms and how they fit in the bigger picture of an intelligent system.

Professional Certificate in Control Systems Analysis and Design

This course provides an overview of what a control system is, and the different approach to model, analysis, design and implementation in practice. You will learn how to build a dynamic model of simple physical system in the form of transfer function, determine the transient response of a system, assess the stability of the system in time and frequency domain and conduct simple experiments to determine performance of control systems.

Professional Certificate in Electric Drives

In this course, you will be introduced to various types of electric drives (AC and DC drives); how one can select a particular type of electric drive for a given application and how to control position, speed and torque of the drive system using Power Electronics and Control Circuits.

Fundamentals of Manufacturing Processes

This course introduces a wide range of manufacturing processes including machining, injection molding, casing, and 3D printing; and explains the fundamental and practical aspects of manufacturing at scale. It will enable you to design a manufacturing process for a multi-part product, make quantitative estimates of cost and throughput, recognise important constraints and tradeoffs in manufacturing processes and systems, and concludes with a perspective on sustainability, digitisation, and the worldwide trajectory of manufacturing.

Project Work

Working in groups, you will conduct a project related to manufacturing. You may choose from a list of projects offered by NUS professors, or propose a topic of your own interest. Assessment will be in the form of a project report and presentation at the end of the project.

For any other questions, please contact us at
28 April 2022