Specialist Diploma in Industrial Internet of Things


This course will enhance the knowledge and skills of participants and enable them to undertake engineering functions in the field of Industrial Internet of Things (IIOT) in the electronics industry.

Upon graduating from the course, you will acquire skills and techniques essential in developing smart solutions through IOT technologies, manage and analyse IIOT data for the system to gain value through informed intelligent decisions. You can gain employment in the following specialisation areas that are required by companies at various stages of IIOT and Industry 4.0 adoption:

  • Industrial IOT
  • Engineering Analytics and Machine Learning
  • Smart Sensors and Devices

Target Participants

The intended target participants are fresh graduates and working professionals who possess a Polytechnic diploma in Engineering.

This course is eligible for SkillsFuture Study Award. For more information, please visit the website below.

 Course Information

Semester Commencement:

20 April 2020

Course Duration:

6 months (For each PDC)

3 times a week, 7pm to 10pm on weekdays.

Application Period:

04 November 2019 - 19 January 2020

 Course Fees

Course Fee Per Modular Certificate


PDC in IIOT Integration

PDC in Engineering Analytics

Workfare Training Scheme (WTS)1 



SME-sponsored Singapore Citizens & Permanent Residents



Singapore Citizens aged 40 & above



Singapore Citizens aged below 40



Singapore Permanent Residents



Others & Repeat Students



For more details, please click here.

(nett fee payable inclusive of GST)
1Please refer to www.workfare.sg for more information on WTS
MOE subsidy will not be applicable for students who repeat a module or semester.
Fees payable is based on per MC.
The course fees will be reviewed by MOE on an annual basis and adjusted accordingly.

 Career Opportunities

At the entry level, the job positions are Associate Engineers. Upon completing the course under the Earn and Learn Programme, graduates can look forward to role expansion in their work scope. They can also look forward to upgrading their knowledge and skills through further CET and executive programmes offered by local Institutes of Higher Learning.

 Contact Us


Temasek SkillsFuture Academy 
(East Wing Block 1A, Level 3, Unit 81)

What You Will Learn

To be awarded the Specialist Diploma in Industrial Internet of Things, students are required to complete a total of 2 Post-Diploma Certificates (PDCs). Each PDC can be completed in 1 semester, ie. 6 months. A certificate will be issued once the requirements for each PDC are met. 

Post-Diploma Certificate in IIOT Integration

Subject code Subject LevelCredit Units

This subject provides knowledge and skills to enable sensors and devices to become smart and connected. The learner will be exposed to the use of embedded systems to enable processing and data reduction to reduce communication. Data communication technologies for information exchange with other devices will also be covered. The learner will develop and test a smart sensor and device network for typical industrial application scenarios (eg. predictive maintenance, process optimization).


The subject covers knowledge and skills essential for integrating heterogeneous subsystems into a smart system. The subject will adopt a systems engineering approach to examine current and emerging trends, key techniques and strategies for developing system and network integration solutions. Students will be exposed to integration challenges such as legacy integration, human-system integration and system of system integration. The subject will cover knowledge and skills on commonly used IOT protocols and industrial connectivity standards and fieldbuses, as well as relevant hardware and software interfaces suitable for such integration. A mini-project will provide opportunity for the students to apply their learning to integrate heterogeneous subsystems.

Post-Diploma Certificate in Engineering Analytics

Subject code Subject LevelCredit Units

This subject seeks to provide students with the knowledge and skills in managing structured, unstructured and semi-structured data generated by an IIOT system using appropriate cloud, database and layered databus technologies. It provides exposure to the need for alternative database management systems beyond traditional relational database systems in managing IIOT data. The subject covers data acquisition, data reduction, storage and retrieval for big data processing. These would provide the basis for analytics, machine learning, visualization, reports and alerts.


This subject provides knowledge of the concepts and skills in the tools used in data analytics and machine learning. It provides exposure to the process of data gathering, extraction and visualization. The subject covers the various stages of data analytics, from gathering data, asking the right questions to analysing and interpreting data to identify patterns and trends that lead to intelligent actionable recommendations. The subject includes the deployment of machine learning models and algorithms, for e.g. predictive maintenance and big data-driven quality control.


This subject seeks to provide students with the knowledge and skills to integrate and apply relevant knowledge to a work-based problem or scenario while demonstrating appropriate project development skills, professional ethics and attitudes. The deliverable may be a solution to a problem, process/product improvements, development, design, evaluation or implementation of ideas.

Modes of Assessment

Class participation

Class tests



Minimum Entry Requirements

 The minimum entry requirement is at least a Polytechnic Diploma or ITE Technical Diploma/Technical Engineer Diploma/Work-Learn Technical Diploma in Engineering, or equivalent.

Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or 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.

Apply Now

Application Procedures & Enquiries

Submit on-line application via: https://cetoas.tp.edu.sg/Account/Logon

Select Specialist Diploma in Industrial Internet of Things (PEJ) in the course selection page.

Temasek SkillsFuture Academy
Temasek Polytechnic
(East Wing Block 1A, Level 3, Unit 81)
21 Tampines Ave 1
Singapore 529757

Opening Hours
8.30 am to 7.00 pm (Mon to Fri)
Closed on Sat, Sun & Public Holidays

Contact Details
Tel: 6788 1212
Email: tsa_acadcet@tp.edu.sg@tp.edu.sg
URL: http://www.tp.edu.sg/tsa

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

Last updated 6 November 2017