Advanced Certificate in Applied Automation in the Digital Economy Module 3: Industrial Internet of Things (IIoT) and Smart Manufacturing
- Analytics & Tech
- Finance & Investment
- Innovation & Business Improvement
This module is conducted in-person.
2 Full Days (Weekdays)
Who Should Attend
- Professionals in industrial automation, manufacturing, engineering, and technology sectors keen to boost expertise in IIoT and smart manufacturing, including those in production, quality assurance, process optimisation, and supply chain management.
PREREQUISITES
There are no prerequisites for this programme. Prior knowledge on any of the topics is not required.
Overview
Module 3 offers participants a comprehensive insight of the integration of digital technologies into industrial processes. It covers key concepts such as sensor networks, data analytics, cyberphysical systems, and connectivity protocols that form the foundation of industrial internet of things (IIoT). Participants will explore how IIoT enables smart manufacturing by facilitating real-time monitoring, predictive maintenance, and process optimisation. They will also learn about the implementation of advanced automation techniques using IIoT to enhance productivity, quality control, and resource efficiency in manufacturing environments. Through case studies and practical exercises, participants will gain hands-on experience in designing IIoT solutions for various industrial applications. Additionally, they will examine the challenges related to cybersecurity, interoperability, and scalability when deploying IIoT systems in complex manufacturing settings. By the end of the module, participants will be equipped with the knowledge and skills necessary to leverage IIoT technologies for driving innovation and competitiveness within modern industrial operations.
Learning Objectives
At the end of the 2-day module, participants will be able to:
- Understand the fundamental principles and concepts of Industrial Internet of Things (IIoT) and its application in smart manufacturing processes
- Analyse the impact of IIoT on traditional industrial automation systems and identify opportunities for optimisation and efficiency improvement
- Evaluate the integration of sensor technologies, data analytics, and cloud computing in IIoT applications to enhance real-time monitoring and predictive maintenance in smart manufacturing environments
- Demonstrate proficiency in designing and implementing IIoT solutions for specific industrial use cases, considering factors such as security, interoperability, and scalability
- Critically assess the ethical considerations, cybersecurity challenges, and regulatory requirements associated with deploying IIoT technologies within a smart manufacturing framework
Assessment
As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.
Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$654 (After SSG Funding 70%) |
$254 (After SSG Funding 70% |
$654 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$254 (After SSG Funding 70% |
$254 (After SSG Funding 70% |
$254 (After SSG Funding 70% |
|
International Participant |
$2,180 (No Funding) |
$2,180 (No Funding) |
$2,180 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Employer Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Employers who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
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*Online registration will close 5 calendar days before the course start date
