Jump to Section

Course Overview

Digitalisation is taking over the world. It requires constant upskilling to stay ahead of the curve. As more companies go digital, there is a strong demand for talent in the field of computer engineering, and you can be one of them!


This course provides reskilling and upskilling training to existing professionals. The new skills acquired will help you leverage the new employment opportunities from industries such as advanced manufacturing, electronics, engineering services and infocomm. You will gain knowledge and skills in emerging technologies in computer engineering, enabling you to contribute in the areas such as industrial smart solutions, data analytics, artificial intelligence and automation.



All students are required to bring their own notebooks for lessons. You may refer to the required technical specifications for notebooks HERE.

Entry Requirements


‘O’ Levels

At least 3 ‘O’ Level passes

and  1 year of relevant working experience OR

Higher Nitec

GPA ≥2.0 OR

GPA ≥1.5 and 1 year of relevant working experience


GPA ≥3.5  OR

GPA ≥3.0 and 1 year of relevant working experience OR

Higher Nitec in Technology/Services

GPA ≥2.0 and 1 year of relevant working experience OR

Nitec in Technology/Services

GPA ≥3.5 with 1 years of relevant working experience OR

WSQ Qualification

Relevant WSQ Qualification with 1 year of relevant working experience and WSQ Workplace Literary Statement of Attainment (SOA) (Level 6) AND Workplace Numeracy Statement of Attainment (SOA) (Level 6)

Without relevant academic qualifications At least 2 years of relevant working experience

Applicants who do not meet the entry requirements may be considered for admission to the course based on supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or entrance test. The Polytechnic reserves the right to shortlist and admit applicants.

Who Should Attend

The intended target audience is non-diploma working professional who is currently working in or aspiring to join the Advanced Manufacturing, Electronics, Engineering Services, Infocomm sector.  This course will provide participants opportunities to learn and apply knowledge in traditional computer engineering areas as well as emerging technologies such as Industrial Internet of Things, Artificial Intelligence and Machine Learning.  Participants will be able to contribute in the converging trends of Operational Technologies - Information Technologies.

What You'll Learn

To be awarded the Diploma in Engineering (Computer Engineering), participants are required to complete a total of 5 modular certificates (MCs). A certificate will be issued upon successful completion of each MC.



Modular Certificate in Computing & Programming

This module provides knowledge and skills in the fundamentals of hardware and software.  It encompasses digital and analog building blocks for embedded systems; and computational building blocks such as data structures, algorithms and coding for problem solving.

Subject Code Subject
ECEE101 Electronics & Digital Principles

This module provides students with basic knowledge of electronics. Fundamental concepts in digital electronics and electronics devices are taught through analysis of basic functional circuits and their applications. With the knowledge, students would be able to understand the functionality of the devices in common applications.  This subject also aims to develop in them proficiency in checking and testing the parameters of these devices, as well as in the analysis of their application in simple digital and analog electronic circuits.

ECSE101 Computing & Programming

It encompasses the process of decomposing a problem into a sequence of smaller abstractions which are implemented in software in a structured top-down approach. Software implementation includes the process of designing, writing, testing, and debugging program code.

CCE1C01 Data Structures & Algorithms

This subject introduces the fundamentals of recursion and data structures in solving problems using a programming language. Topics covered include stacks, queues and linked lists. Searching techniques and sorting algorithms are also covered.

Modular Certificate in Embedded Systems & Networking

This module covers microcontrollers, data acquisition and networking. It equips learners with knowledge and skills on programming microcontrollers and data acquisition devices, and interfacing with sensors and actuators for application development. The module also imparts skills on networking and integration to enable communication between subsystems which will serve as the hardware and connectivity backbone of IOT systems.

Subject Code Subject
ECMC101 Microcontroller Interfacing

This module covers the basic architecture of microcontrollers and the interfacing of various input and output devices to the microcontroller.  It provides knowledge and skills on programming the microcontroller to interface with the real world through the input and output devices.

ECMC102 Microcontroller Applications

This module provides you with working knowledge on microcontroller architecture, the features and characteristics of the internal peripherals in the microcontroller, such as interrupts, Timer and Pulse Width Modulation in order to design and implement an embedded system that involves hardware and software interfacing.  The subject also covers the features of evolving microcontrollers that support Industrial Internet of Things (IIoT) applications.

ECCC103 Data Acquisition & Networking

This module equips student with the knowledge and skills essential for data acquisition from the real world through sensors for further processing and control of equipment, as well as integration with other subsystems through networking.. Commonly used industrial connectivity standards and fieldbuses, as well as relevant hardware and software interfaces suitable for such integration, are also covered.

Modular Certificate in Client Server Applications

Encompassing database systems, enterprise web and mobile applications, this module equips learners with knowledge and skills on full stack development covering server programming, database management and client application development which will serve as the software backbone for IOT systems.

Subject Code Subject
ECSE103 Database Systems

This module provides you with the basic knowledge of designing and implementing of a database, and the appropriate retrieval of the data through queries from the client application through a business logic layer.

ECCC104 Mobile Applications Development

This module covers the development of applications on mobile and wireless computing platforms. It provides an overview of Mobile Web and Mobile Applications, their importance and benefits, as well as the technologies and methodologies for their development, such as the architectures, frameworks, standards, programming languages, design process and tools.

CAN1C01 Web Application Development

This subject introduces the concepts of web application development. Topics covered include web page design, front-end and back-end web development and web deployment.

Modular Certificate in Industrial Internet of Things Technologies

This module provides a range of industrial IOT knowledge and skills essential for digital transformation in this era of Advanced Manufacturing and Industry 4.0. It encompasses the various components of IOT, IOT protocols, Industrial communication protocols to enable the flow of data from sensors and subsystems to the cloud for further IOT data management and analytics. Knowledge and skills on digital twin implementation will be included to enable development of the virtual versions of the physical systems for remote troubleshooting, management, monitoring and control.

Subject Code Subject
ECMC104 IIOT for Advanced Manufacturing

This subject provides knowledge, skills and design approaches in using embedded systems, sensors, actuators and appropriate data communication technologies such as sensor networks, edge and cloud computing to build and setup an IIOT environment. A systems engineering approach will be adopted, under which you will review key technologies from prior learning for the different levels of the IOT (Internet of Things) stack and figure out how these different levels could be integrated to form complete IIOT systems in Advanced Manufacturing.

ECCC102 Industrial IoT Analytics

This subject provides the essential concepts and skills needed for implementing digital transformation in smart manufacturing plants. It covers the application of industrial software platforms to wirelessly interconnect sensors, Internet of Things (IoT) devices and equipment. The students will learn to develop dashboard for acquiring, analyzing and displaying data that is commonly found in Advanced Manufacturing. Modern approaches in activation of hardware and software responses when interventions are required for process improvement or corrective actions are also covered in detail.

CAN1C03 IoT Security

This subject introduces the security and privacy issues involved in the implementation of Internet of Things (IoT) applications and services. Topics covered include cryptography, capability, access-control mechanisms, authentication models and privacy support through data abstraction, integration and data synchronisation.

Modular Certificate in Intelligent Automation

This module comprises subjects imparting Analytics, Visualization, AI and Intelligent Automation skills for digital transformation. It will equip learners with knowledge and skills required for integration of Operational Technology (OT) with Information Technology (IT) to enable hyper-automation for creating smart people-centric spaces and to augment humans.

Subject Code Subject
CAA1C04 Data Visualisation & Analytics

This subject covers the data analytics lifecycle, including gathering, cleaning, processing and visualizing of data. Exploratory data analysis methods, descriptive and predictive analytics and the presentation of insights will also be covered.

ECSE107 Intelligent Automation

This module provides you with basic knowledge and hands-on digital transformation skills on rapid multi-experience application development and integration of users, tasks and systems towards enhancing productivity, human augmentation and automatic data-driven decision-making. It covers techniques on how to leverage on data from information systems and IoT devices for agile response and productivity. This subject will enable you to automate data-driven decision making through integration of advanced analytics and learning models to applications.

ECSE106 Artificial Intelligence Applications

This module provides students with the fundamental concepts of Artificial Intelligence (AI) and Machine Learning (ML). It covers knowledge and skills in AI techniques and tools to build intelligent learning models from real-world data, through training, testing, validation and optimisation. Through hands-on group projects, they will build AI-based applications to add intelligence to existing systems.

Modes of Assessment


  • Written and Practical tests
  • Assignments
  • Projects

For more information on course fee / schedule, or to apply,

Career Opportunities

Graduates of this course can look forward to taking up the following types of positions:


Assistant Equipment Engineer/Assistant Process Engineer/Assistant Integration Engineer/Assistant Product Engineer/Associate Embedded Systems Engineer in the electronics and engineering related sectors


Assistant Software Engineer/Data Analyst/Associate Data Engineer in the engineering and infocomm related sectors

You May Also Be Interested In

Course Contact

  • Mainline 67881212
  • Monday - Thursday: 8:30am - 6:00pm
    Friday: 8:30am - 5:30pm
    Closed during lunchtime, 12:00pm - 1:00pm
    and on weekends and public holidays.

  • https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy (TSA)
    Temasek Polytechnic
    East Wing, Block 1A, Level 3, Unit 109
    21 Tampines Ave 1
    Singapore 529757

  • Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.