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SGUS for Digital Transformation and Innovation™ (DTI™ )

  • 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 Website banner_DTI

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-2020508865

Programme Introduction

This SGUS for Digital Transformation and Innovation™ (DTI™) Programme is to train and guide eligible Singaporean and Permant Residents to be Digital Transformers, in leveraging digital technologies to accelerate business model changes and achieve meaningful digital transformation for the company.

Using the Digital Transformation and Innovation™ (DTI™) Methodology, participants will learn to analyse and (re-)design a company’s strategies, business model, value streams, and system architecture to ensure greater alignment, unlock new business growth and achieve sustainable competitive advantage.

Brochure and Registration


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

“Dr Wang is a humble, patient, encouraging, and committed tutor. While imparting inventory planning skills and knowledge to us, his learn-it-all attitude impressed upon me as a role model for learning and excelling in study and in life. My takeaway from him far exceeds the course objective of Inventory Planning.

Thank you Dr Wang.”

Ms Veronica Chiu,
Trainee from SGUS for Digital Transformation & Innovation™


“An exciting learning journey together with SIMTech’s scientists, their unique practical ‘hands-on’ online sessions as well as training at their SMART Model Factory using their patented Digital Transformation & Innovation™ (DTI™) methodology”

Mr David Ong,
Trainee from SGUS for Digital Transformation & Innovation™


"Being a NHB-nominated Intangible Culture Heritage person, with my expertise on musical instruments fabrication & acoustics design, I am delighted to say the SGUS course is useful for me. I could learn something about the concept of manufacturing, improve my productivity and business management skills.

Although I am already over 60 years old, but the Government always encourage us to never stop learning new things, this would increase our chances of being re-employed, and also find more reliable judgment in our future. Thanks to SGUS."

Mr Ng Teck Seng,
Trainee from SGUS for Digital Transformation & Innovation™

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 Digital Transformation and Innovation™ course.

Technical Skills Modules


  • Implement OEE for Productivity Improvement
Participants will be awarded a WSQ Statement of Attainment certificate (SOA) for passing each individual module.
  • Implement Manufacturing Data Mining Techniques
  • Smart System Framework-LITE
Participants will be awarded a SIMTech Certificate of Attendance (COA) for passing each individual module.
  • Data Analytics Driven Inventory Planning
  • Production Planning & Scheduling for Smart Manufacturing
  • IIoT-enabled Equipment Condition Monitoring and Alert
  • Understand Digital Transformation and Innovation™

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 & Practice")

Understand Digital Transformation and Innovation

This DTI™ module provides the necessary fundamental knowledge for participants to understand key concepts of digital transformation. Under the mentoring of experienced trainers, participants learn to identify relevant stakeholders in their organisations to successfully conduct business digitalisation using DTI™ Methodology; systematically determine business strategies and objectives; understand activity landscape and system architecture; identify transformation areas; generate initiatives and develop action plans for digital transformation.

Implement Manufacturing Data Mining Techniques

This module aims to provide participants with up-to-date methodologies in data mining and a thorough discussion of successful case studies. The in-depth learning and hands-on practise on data mining projects will train the participants’ capabilities in data collection, data pre-processing and finally, using data mining techniques to analyse the data to find out hidden correlations among various parameters for performance prediction and root cause analysis. Through extensive hands-on practice and data mining projects, the participants will gain the ability to use data mining techniques to solve actual industrial problems upon completion of the course.

Implement OEE for Productivity Improvement

OEE (Overall Equipment Effectiveness) is a key machine performance metric to identify hidden capacities and improve manufacturing productivity. The module aims to equip participants with a comprehensive understanding and systematic training in applying OEE to achieve high machine productivity. The course contents are designed to be highly practical and intensive with training provided by expert trainers with industrial experience. Participants will learn the latest knowledge about OEE and its developments to current technologies. This course is highly suitable for those currently employed or seeking to better prepare themselves for further career advancement in the manufacturing sector.

Data Analytics Driven Inventory Planning

Many industrial organisations are facing the challenge of excess inventories, which is the root of all evil in business. This module trains participants in inventory planning concept, knowledge and principles, and equip them with skills and tools for conducting inventory performance analysis and optimisation. With these skills, participants will be able to help their companies to achieve right-sized inventory, mitigate inventory risk and maximise inventory performance. Participants will also have the opportunity to engage with SIMTech inventory planning system during the hands-on sessions for reinforcement of the learnt knowledge.

Smart System Framework-LITE

Smart System Framework™ (SSF™) is a highly interactive Rapid Company Assessment (RCA) workshop, integrating over 400 business processes to support rapid company assessment for digital roadmapping and continuous business process improvement. SSF™’s methodologies and tools are derived from more than 4 years of research and development to document small and medium-sized enterprises (SMEs) business processes. Through this development, SSF™ was able to determine over more than 400 business process flows that can represent ‘standard’ industry business processes and best practices. This module aims to train participants how to implement SSF™ and lead their organisations towards the 4.0 Digital Transformation.

Production Planning & Scheduling for Smart Manufacturing

This module aims to equip participants with the essential skills and knowledge for production planning and scheduling, through in-depth discussions and practical sessions including hands-on modelling of real-world industrial planning & scheduling practices into SIMTech’s Smart Manufacturing Operations Management (S-MOM) software. They will gain the knowledge to help their organisations to embark on their digitalisation journey with best practices on Advanced Planning and Scheduling (APS).

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.

Practical Modules ("Implement")

Lab-based Practise Training

This module is designed to provide extensive hands-on practise training on basic skills for common processes on Digital Technologies, Transformation Method and data analysis encountered in industrial applications. The module consists of 30 sessions (120 hours in total), which will allow participants the opportunity to operate digital process equipment and analytical instruments in A*STAR Model Factory @ SIMTech to enhance the knowledge learned from the technical skills modules.

Under the guidance of the experienced trainers, the participants are expected to do hands-on experiments in the following categories:

  • Digital Skills Training – Practical demonstrations on the various Digital Technologies, Digital Processes with the respective actual Digital Machineries, for Supply Chain Optimisation, Enterprise level as well as Shopfloor level, Automation, Connectivity & Intelligence towards Industry 4.0.

  • Practical hands-on applications - Participants will be guided to learn & apply Digital Value Stream Map, System Architecture and Ready-To-Go Technologies in a model factory. The emphasis is on the applications of various Digital Technologies, Process & People perspectives for Digital Transformation.

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-2020508865Q1 Yr2022
  • Industrial Automation
Q1 Yr2022
  • MedTech Product Manufacturing
24 Mar 2022
  •  Operation Management and Innovation (OMI)
TGS-2020508866 9 Mar 2022
  • 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