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 |
Nitec | 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.
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.
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.
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.
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.
Modes of Assessment
- Written and Practical tests
- Assignments
- Projects
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
Course Contact
- Mainline 67881212
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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
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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.