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Course Overview

The aim of the Specialist Diploma in Industrial Informatics is to deepen the knowledge and skills of participants to enable them to undertake expanded job scopes in engineering and manufacturing functions in the area of Advanced Manufacturing.

 

Upon completing the course, the graduates will be digitally conversant to contribute effectively to a smart and connected workplace, equipped with skills and techniques essential for them to apply smart technologies to their domains, manage and analyse data for the system to gain value through informed intelligent decisions to enhance performance and productivity.

Application/Entry Requirement

The minimum entry requirement is a Polytechnic Diploma, or an ITE Technical Diploma/Technical Engineer Diploma/Work-Learn Technical Diploma.

 

Holders of other equivalent academic qualifications or those who are working in the industry will be considered on a case-by-case basis.

Who Should Attend

Individuals who are keen to pursue a career to expand in area of industrial informatics for digital transformation of smart technology in the industry, to enhance and be prepared for the agile business efficiency of the future.

What You'll Learn

To be awarded the Specialist Diploma, participants are required to complete a total of 2 Post-Diploma Certificates (PDCs). A certificate will be issued upon successful completion of each PDC.

Post-Diploma Certificate in Smart Technology

Subject Code Subject
CII1C01 Data Analytics Essentials

This subject covers an overview of analytics and data lifecycle, including gathering, cleaning, processing and visualising data. Exploratory data analysis methods, descriptive and predictive analytics as well as machine learning applications of industrial / engineering data will also be covered.

CII1C02 Operational Technology (OT) Security

This subject covers the Operational Technology (OT) hardware, software, IoT & network cybersecurity issues and resolutions. Cybersecurity risks, mitigation methods and various OT cybersecurity standards are covered to meet the industry needs and for governance and compliances. 

Post-Diploma Certificate in Manufacturing Analytics

Subject Code Subject
ECCC202 Industrial Edge Computing & Machine Learning

This subject covers the technical skillsets required for applying machine learning algorithms and deploying Artificial Intelligence (AI) models onto edge computing devices. It provides the essential concepts and background on data analytics, supervised and unsupervised machine learning models, the process of optimization and their applications in advanced manufacturing.

ECMF209 Advanced Manufacturing System

This subject introduces the core elements of a smart manufacturing system where real-time manufacturing data enables flexibility and increase productivity. An introduction to advanced manufacturing and key enabling technologies such as Radio Frequency Identification (RFID) systems, Manufacturing Executions Systems (MES) and Augmented Reality (AR) are used to lay the foundation for understanding the application and benefits of smart manufacturing.

Modes of Assessment

 

The assessment will be based on a combination of coursework components such as written and practical tests, case studies, assignments and projects.

Career Opportunities

Graduates of the course can contribute to job roles such as developers in IT and embedded systems, data analytics technologists, firmware, software applications and/or expanded job scope in the area of industrial informatics.

Course Schedule

Intake Info Application Period Course Duration

18 October 2021

18 June – 19 July 2021

1 year
7pm - 10pm on 2 weekdays

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Course Fees

Course fees per Post-Diploma Certificate

Fee Type Total Fees
w GST
SME-sponsored Singapore Citizens & Permanent Residents S$252.36
Singapore Citizens aged 40 & above S$243.96
Singapore Citizens aged below 40 S$372.36
Singapore Permanent Residents S$988.68
Others & Repeat Students  S$2,478.12

SkillsFuture Credit Approved. For more details, please click here

Course fees payable is based on per MC.

Course fees will be reviewed by MOE on an annual basis and adjusted accordingly.

MOE subsidy will not be applicable for students who repeat a module or semester.

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Course Contact

  • 67881212
  • 8.30am – 6.00pm (Mon – Thu)

    8.30am – 5.30pm (Fri)

    Closed on Sat, Sun & Public Holidays

    Due to Safe Management Measures, our office is currently closed.

    Please call or email us your enquiry.

    Thank you for your patience and understanding.

  • Website: https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy
    Temasek Polytechnic
    East Wing Block 1A, 
    Level 3, Unit 81
    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.

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