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SGUS for Smart Machining and Digitalisation

  • This SGUS course is completed over a 9-month period.
  • The nett course fee payable by each SC or SPR trainee is $750 (inclusive of GST).
SGUS_Masthead_Smart Machining

What is the SGUnited Skills (SGUS) Programme?

The SGUnited Skills (SGUS) Programme which opens for unemployed or retrenched Singaporeans and Permanent Residents is a full-time Train & Place programme of 6 to 9-month duration. Trainees will also receive a training allowance of $1,200 per month for the duration of the programme to cover basic subsistence expenses.

Applications for the SGUS courses are ongoing and each new intake may only commence upon receiving sufficient registrations to form a class!

Important information:
  • In order to provide opportunities for as many Singapore Citizens and Permanent Residents as possible, individuals can only enrol in a SGUnited Skills Programme ONCE.
  • All information published at SIMTech's website, social medias, webinars or collateral about its courses is correct at time of publication and subject to change.

Skills Course Reference: TGS-2020508869

Programme Introduction

In the era of digitalisation, manufacturing plants worldwide have progressively transformed and no longer operate in the old traditional way. Demanding customers are setting up a higher expectation of end products with higher accuracy and excellent surface finishing yet lower cost. This only can be done through smart machining and digitalisation with less human intervention.

Companies have to expand their business beyond Singapore; this means more travelling yet at the same time being able to manage and monitor their plant offsite. Thus, it is essential to transform themselves towards smart digitalisation, and high-value precision manufacturing technology couple with Industry 4.0.

Given this trend and to align with the government drive towards digitalisation and a smart nation, this course is specially tailored-made to equip you with the essential knowledge and skill set ready to serve your future employer effectively to lessen the machine downtime through Equipment Condition Monitoring; and to reduce operation costs with Overall Equipment Effectiveness; also to manage Operation Excellence and stay competitive in producing superior quality parts with knowledge transfer touches on Data Mining for Correlation Analysis and Dimensional Measurements & Metrology.

Brochure and Registration


Watch our series of SGUS Course Briefings to understand more about each specialisation.

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Benefits for Trainees


  • Get paid while you upgrade and upskill yourself with a training allowance of $1,200* per month during the training period.

  • All SGUS specialised courses are highly subsidised at a nett course fee of $500 (6-month course) or $750 (9-month course), and self-sponsored Singaporean trainees can offset the fee with their SkillsFuture Credit.

  • Attain certificates when you complete the individual modules.

  • Trainees may exit the programme whenever a job opportunity arises, as the SGUS programme is conducted in a modular format.

  • Learn and journey with our SIMTech scientists who will provide hands-on training with state-of-the-art equipment & laboratories.

  • Work on an industry project with your potential employer even before getting hired.

  • Boost your employability for future job opportunities with real-world industrial experiences.

  • More than 5,000 PMETs have attended or completed our courses.
  • Embark on our Learn-Practise-Implement™ (LPI™) pedagogy when you journey with us.

  • Only Singaporeans and Singapore Permanent Residents are eligible to apply for the SGUS Programme.

* Trainees who are concurrently receiving COVID-19 Support Grant (CSG) or Self-Employed Person Income Relief Scheme (SIRS) payouts will receive a lower training allowance as they are already receiving income relief.

Brochure and Registration


There are 10 modules for completion under the SGUS for Smart Machining and Digitalisation course.

Technical Skills Modules


  • Apply Surface Enhancement and Finishing Technologies
Participants will be awarded a WSQ Statement of Attainment certificate (SOA) for passing each individual module.
  • Dimensional Measurements and Metrology
  • Improve Machining Productivity through Dynamics Analysis and Simulation
  • Advanced Smart Machining Technology
Participants will be awarded a SIMTech Certificate of Attendance (COA) for passing each individual module.
  • Data Mining for Correlation Analysis (DM-LITE)
  • IIoT-enabled Equipment Condition Monitoring and Alert
  • Overall Equipment Effectiveness Fundamentals & Calculation (OEE-LITE)

Practical Modules


  • Lab-based Practise Training
Participants will be awarded a SIMTech Certificate of Attendance (COA) for passing each individual module.
  • Project-based Training for Implementation (M1)
  • Project-based Training for Implementation (M2)

Participants will be awarded with a certificate for each individual module, if they meet the following criteria:

  • Achieve at least 75% course attendance;
  • Take all assessments; and
  • Pass the course.

List of Modules

Technical Skills Modules ("Learn & Practise")

Apply Surface Enhancement and Finishing Technologies

This module introduces participants to the fundamentals of mechanical surface enhancement processes including rolling, peening, burnishing, mechanical finishing processes (eg. vibratory bowl finishing, drag finishing, abrasive flow machining, magneto-rheological finishing and grinding), and laser surface texturing, marking, peening and annealing for functionalities. Participants will gain a solid understanding of the surface enhancement and finishing processes, and the issues of surface treatment effect on the work substrates. Participants will also be guided through hands-on project-based sessions on real-world industrial topics using SIMTech equipment and instruments to further enhance their understanding of surface enhancement and finishing technologies for production implementation.

Dimensional Measurements and Metrology

This module introduces the fundamental concept and theoretical knowledge of precision dimensional measurement and nanoscale measurement technologies for applications in the Precision Engineering industry, and as well as other related industrial sectors. It covers the fundamentals of measurement errors, error analysis and uncertainty, precision measurement systems for dimensional measurements (CMM) and surface roughness measurements, precision machine tool calibration by a laser interferometer, scanning near-field optical microscopy and atomic force microscopy for nanoscale dimensional measurements. Participants will be guided by SIMTech mentors through hands-on and practical sessions using the learned knowledge and skills to address practical measurement problems.

Improve Machining Productivity through Dynamics Analysis and Simulation

This module is designed to provide participants with practical and systematic training on machining dynamics analysis and simulation technologies being used to achieve high productivity with good surface quality, high geometrical accuracy, and high efficiency. It covers virtual machining simulations, CNC verification, virtual training labs, machining dynamics fundamentals, machining stability, dynamics analysis of machining units, dynamics characteristics of work material, generation of machining stability lobes, know-how to improve material removal rate, and how to improve machining productivity using machining dynamics toolkit. Actual cases and practises will be conducted at the participants’ workplaces to demonstrate the productivity improvement on actual productions.

Advanced Smart Machining Technology

This module is structured to equip the participants with the fundamentals and state-of-the-art on the latest developments in smart machining technology including tool condition monitoring, machining dynamics, adaptive machining, machine learning for machining, quality assurance & surface integrity, and remanufacturing for industrial applications. Participants will be guided by SIMTech mentors through hands-on and practise sessions using the learned knowledge and skills to address practical problems from their workplace. The knowledge gained during this course benefits both the participants who stand to upgrade their expertise and their companies with the opportunity to improve their productivity and competitiveness.

Data Mining for Correlation Analysis (DM-LITE)

This module covers a set of methodologies of conducting problem-solving using the data mining approach, which includes data collection, pre-process data from multiple sources, cleaning of the data, and finally using data mining techniques to analyse the data and find out hidden correlations among various parameters involved in processes. Through extensive hands-on and discussion of successful case studies, the course will equip participants with the ability to use data mining techniques to solve actual industrial problems.

IIoT-enabled Equipment Condition Monitoring and Alert (IECOM)

Machine breakdowns and unplanned downtime affects equipment availability and interrupts the delivery of services. Monitoring equipment’s condition and alerting its impending failure can help to minimise disruptions and costly repairs. This course provides participants with training in implementing an equipment condition and alert system using Industrial Internet-of-Things (IIoT) devices for remote monitoring of machine conditions. This course is specifically developed for local industry needs and taught by industry practitioners in the field. Case studies are discussed to highlight the applications in industry.

Overall Equipment Effectiveness Fundamentals & Calculation (OEE-LITE)

This module provides participants with the fundamentals of applying Overall Equipment Effectiveness (OEE) to improve machine productivity. It covers the latest knowledge on OEE in Industry 4.0 including OEE concepts with model factory setup, OEE fundamentals and hands-on calculation, data collection for analysis and reporting, and productivity improvement techniques. This course is specifically developed for local industry needs and taught by industry practitioners in the field. Case studies are discussed to highlight the applications in industry.

Practical Modules ("Implement")

Lab-based Practise Training

This module is designed to provide extensive hands-on practise training of basic skills on machine operation and software programming, geometrical measurement and metrology methods, and process digitalisation technologies used to embark on Industry 4.0. The module consists of 40 sessions (120 hours in total) which will allow the participants to operate the processing equipment, measurement and analytical instruments in SIMTech labs to enhance their knowledge learned from the other technical modules.

Under the guidance of the experienced trainers, the participants are expected to do hands-on practise in these three categories:

Machine Operation and Software Programming - Participants will be trained on different types of machine operations including CNC machines, laser processing machines, ultra-precision machining (UPM) centre and abrasive processing machines; CAD/CAM programming and simulation, UPM tool path generation and correction, and machining dynamics analysis.

Geometrical Measurement and Metrology Methods - Hands-on experience with measurements of hardness, strength, surface roughness and profile, CMM, stylus profilometer and white-light interferometer.

Process Digitalisation Technologies - Participants will be guided to connect the sensors, dynamometer and IIoT-based devices with machines to monitor the processing, and collect data to analyse the overall equipment effectiveness and correlations among the process parameters and quality output.

Project-based Training for Implementation (M1); and

Project-based Training for Implementation (M2)

The project-based modules provide opportunities for the participants to embark on an industry project either in-house at SIMTech or work with a participating company.

Pre-Requisites and Nett Course Fee

Pre-Requisites, Full and Nett Course Fees


  • Only Singaporeans and Singapore Permanent Residents aged above 21 years old who are unemployed or retrenched and can commit to the SGUS courses on a full-time basis are eligible to apply for the SGUS programme.

    In addition, the target trainees for the SGUS courses will exclude the following:

    a) Graduated or graduating in Calendar Years (CY) 2019 to 2021 (both years inclusive) from ITE, Polytechnics, Universities, and other educational institutions. This includes graduates from private universities as well as overseas institutions; and

    b) Graduated from the educational institutions mentioned in (a) and completed or completing their National Service (NS) in Calendar Years 2019 to 2021 (both years inclusive) and are entering the labour force.;

  • Applicants should possess a degree in any discipline or a diploma with a minimum of 3 years of related working experience.

  • Applicants who do not have the required academic qualifications are still welcome to apply, but shortlisted candidates may be required to attend an interview for special approval.

  • Proficiency in written and spoken English.

Course Fee

Nett Fee
payable by individuals
* All fees are inclusive of prevailing GST.
 ✓ SkillsFuture Credit Eligible (for self-sponsored registrations only)

For more information about the SkillsFuture Credit, please visit its webpage here.

Additional Information:
  • Trainees have to pay the full amount of nett fees upfront after they are enrolled to the programme.
  • Trainees who find full-time employment and apply for early exit from the programme can receive pro-rated refund of their course fees.

Brochure and Registration

Contact Us


SGUS Specialisation Skills Course Reference Number
New Cohort's Expected
Commencement Period
  • Additive Manufacturing 
Q1 Yr2022
  • Advanced Instrumentation and Quality Control through Digitalisation
TGS-2021009131Q1 Yr2021
  • Advanced Welding Technologies Robotised Processes
Q1 Yr2022
  • Data-driven Surface Engineering with Process Digitalisation
TGS-2020508867Q1 Yr2022
  • Digital Transformation and Innovation™
TGS-202050886518 Jan 2022
  • Industrial Automation
Q1 Yr2022
  • MedTech Product Manufacturing
7 Feb 2022
  •  Operation Management and Innovation (OMI)
TGS-2020508866 Q1 Yr2022 
  • Smart Machining and Digitalisation
TGS-2020508869Q1 Yr2022

Important notes:

  • Each new cohort may only commence when there are a minimum number of trainees to form a class.
  • SIMTech reserves the right to make changes to the programme without prior notice to the trainees.
  • To enroll as a SIMTech's SGUS trainee, please submit your online registration here.

View Frequently Asked Questions

SGUS Programme FAQs