About Course
In Industry 4.0, smart maintenance uses digital tools and sensor data to improve equipment efficiency, reduce downtime, and optimise performance. By analysing real-time data, companies can adopt proactive maintenance strategies and enhance equipment health.
This micro-credential provides learners with the knowledge and skills needed to implement a comprehensive smart maintenance strategy. It also introduces the integration of algorithms and monitoring techniques with Failure Mode, Effects, and Criticality Analysis (FMECA) to ensure a robust maintenance approach.
Key topics include maintenance engineering principles, which cover practical methods and tools for developing and maintaining highly reliable plants, products, and services. It focuses on meeting design requirements while reducing life-cycle costs and promoting sustainability.
Learners will gain expertise in smart sensing for condition monitoring, equipping them with the essential skills to design and implement machine monitoring systems with smart sensors for engineering applications. Additionally, they will learn about condition-based maintenance, focusing on machine health monitoring techniques. This includes topics in data cleaning and noise filtering, feature extraction, fault detection, fault diagnosis and machine condition prediction.
This micro-credential is part of the CSM Pathways in Electrical and Electronic Engineering and Infrastructure and Systems Engineering.
Who Should Attend
Assumed Prior Knowledge
Learners are required to have knowledge of programming, engineering mathematics and data analytics.
Learning Outcomes
This micro-credential is predominantly delivered through a competency-based education (CBE) approach where learners acquire and demonstrate mastery of knowledge and skills that are directly relevant to job functions. This prepares them to be industry-ready where they can apply their newly acquired competencies to their work.
List of Competency Units
| Code | Competency Unit Title | Credits |
|---|---|---|
| ENG2400C | Maintenance Engineering | 6 |
| ENG3400C | Smart Sensing for Condition Monitoring | 6 |
| ENG3401C | Condition-based Maintenance | 6 |
The above are competency units that constitute this micro-credential. Upon completion of the micro-credential, you will be able to:
- Analyse the reliability of engineering systems and recommend improvements in maintenance-related activities using tools such as Root Cause Analysis, Fault Tree Analysis and Failure Mode, Effects, and Criticality Analysis (FMECA).
- Design and build machine condition sensing and data acquisition solutions by applying sensing principles for machine conditions, integration of sensors with embedded hardware and data acquisition and utilisation of IoT and cloud technology for ‘smart’ sensing.
- Implement a fault detection and diagnosis system and apply data analytics for machine condition prediction.
Coaching for Success
During the course, you will have access to a team of qualified success coaches who can work with you on learning strategies or to develop a personalised learning plan. Through the success coaches, you can gain access to a wide range of resources and support services, and be empowered with the necessary tools to navigate your learning journey successfully.
Teaching Team
Zhou Junhong
Associate Professor, Engineering, Singapore Institute of Technology
Hoh Hsin Jen
Assistant Professor, Engineering, Singapore Institute of Technology
Gan Hiong Yap
Associate Professor, Engineering, Singapore Institute of Technology
Kiew Choon Meng
Assistant Professor/Prog Leader, Engineering, Singapore Institute of Technology
Ng Bor Kiat
Associate Professor, Engineering, Singapore Institute of Technology
Wang Yu
Senior Professional Officer, Singapore Institute of Technology
Vincent Chan Siang Huat
Senior Professional Officer, Singapore Institute of Technology
Course Details
Schedule
| Week | Learning Activity | Delivery and Time |
|---|---|---|
| 1 – 12 | Self-directed learning (pre-recorded videos) and discussion forum | Asynchronous online |
| 1 – 12 | Integrative session | Synchronous online |
| 3, 5, 8, 11, 12 & 13 | In-class assessments | In-person Time TBC |
Certificate and Assessment
A Specialist Certificate in Smart Maintenance will be issued to learners who:
- Attend at least 75% of the course and
- Undertake and pass all credit bearing assessments
Assessment Plan
- The learner will undertake a combination of quiz tests and projects
Fee Structure
The full fee for this course is S$10,006.20.
| Category | After SF Funding |
|---|---|
| Singapore Citizen (Below 40) | S$3,001.86 |
| Singapore Citizen (40 & Above) | S$1,165.86 |
| Singapore PR / LTVP+ Holder | S$3,001.86 |
| Non-Singapore Citizen | S$10,006.20 (No Funding) |
Note:
- A one-time, non-refundable matriculation fee of $54.50 will be collected before course commencement.
- All fees above include GST. GST applies to individuals and Singapore-registered companies.
- Should you decide to convert to the degree pathway, you will be subject to SIT’s tuition fees and may qualify for the Ministry of Education (MOE) tuition grant, based on eligibility criteria set by MOE. Please note that the SkillsFuture subsidy will no longer be applicable once you convert to the degree pathway.
SkillsFuture Credit
Learners may use their SkillsFuture Credit and Additional SkillsFuture Credit (Mid-Career Support) to further offset out-of-pocket course fees.
SkillsFuture Mid-Career Training Allowance (Part-time)
Singapore Citizens, aged 40 and above, and in-employment in the past 12 months are eligible for Training Allowance of $300 per month. Login to SkillsFuture Portal with your SingPass to check your eligibility.
Frequently Asked Questions
Fee Subsidy & Funding
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Who qualifies for SkillsFuture course fee subsidy?
Singapore Citizens, Permanent Residents and LTVP+ holders are eligible for SkillsFuture Course Fees Funding. Refer to Fee Structure for details.
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If I fail or drop out of the programme, what will happen to the funding I’ve received?
If you fail the programme or drop out without a valid reason, you may be required to refund the course fee subsidy you received. Learners are encouraged to complete all modules and pass the assessments to fully benefit from the programme and retain the funding support.
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What if I turn 40 years old in the middle of the programme?
If you turn 40 years old during the programme, you will become eligible for the Mid-Career Enhanced Subsidy from the month you turn 40. This subsidy can cover up to 90% of programme fees.
SkillsFuture Mid-Career Training Allowance (Part-time)
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Who is eligible for SkillsFuture Mid-Career Training Allowance?
Singapore Citizens aged 40 years old and above and is in-employment with income in the last 12 months are eligible for SkillsFuture Mid-Career Training Allowance (Part-time) when they enrol into a Competency-based Stackable Micro-credential. Subject to application approval by SkillsFuture Singapore.
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When and how do I apply for the training allowance?
You can login to SkillsFuture Portal with your SingPass to submit your application for the SkillsFuture Training Allowance (Part-time) up to two (2) months before the course start date.
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How much training allowance will I receive upon successful application?
You will receive an allowance of $300 per month for the period of your 3-month micro-credential course.
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What are the requirements I need to fulfil in order to receive the monthly training allowances?
You will need to fulfill a minimum of 75% attendance of the course.
Course Runs
Learning Pathway
Earn Stackable Specialist Certificates
New Engineering Micro-credentials Launching Soon!
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