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SGUS for Data-driven Surface Engineering with Process 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_Surface Engineering

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-2020508867

Programme Introduction

Surface treatment and coatings are key technologies for enhancing many engineering tools or components to meet the desired functional performance, aesthetics, resistance against wear and corrosion as well as high fatigue life, so as to maximise the economic benefits for businesses. With recent advances in materials and processes, surface treatment and coating technologies are playing an increasingly important role in realising new engineering breakthroughs in almost all the industry sectors, including precision engineering, aerospace, marine and offshore, O&G, medtech, microelectronics, civil and construction, home appliances, food and beverage, water and waste treatment. Furthermore, in line with digitalisation towards Industry 4.0, surface technologies are also moving towards the implementation of smart processes, with automation, digitalisation, and data analytics to transform operations for maximum productivity, quality and business outcome.

This programme aims to train participants with the necessary knowledge and practical skills to embark on advanced surface engineering technologies, including surface cleaning and modification, surface manufacturing process, surface characterisation methods, process digitalisation and data analytics concepts, as well as process/product quality control and management.




Brochure and Registration




Webinars

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

Benefits

  • 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

Certifications

There are 10 modules for completion under the SGUS for Data-driven Surface Engineering with Process Digitalisation course.
 

Technical Skills Modules
("LEARN & PRACTISE")

Certifications

  • Apply Surface Enhancement and Finishing Technologies
Participants will be awarded with a WSQ Statement of Attainment for passing each individual module.
  • Apply Advanced Coating Technologies for Wear & Corrosion Protection
  • Review Coating Failure Prevention and Coating Improvement
  • Implement Fundamentals of Corrosion & Corrosion Prevention
  • Plan and Manage Project for Implementation
  • Data Mining for Correlation Analysis (DM-LITE)
Participants will be awarded a SIMTech Certificate of Attendance (COA) for passing each individual module.
  • Materials Characterisation
Participants will be awarded a WSQ statement of Attainment (SOA) certificate for passing this individual module.

Practical Modules
("IMPLEMENT")

Certifications

  • 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.

Apply Advanced Coating Technologies for Wear & Corrosion Protection

This module aims to provide participants with the knowledge and practical skills on using advanced coating technologies for corrosion and wear prevention. It covers electrochemical, sol-gel, and plasma-based coating processes together with applications in corrosion and wear prevention. This module is structured with lectures and lab demonstrations conducted in SIMTech’s process-and-testing laboratories. During practical (hands-on) sessions, participants will get to work on a relevant project of choice under the coaching of topic experts to apply the knowledge and skills learnt to address actual industry problems.

Review Coating Failure Prevention and Coating Improvement

This module highlights frequent coating failures and methods of recognising them. Various types of failure will be discussed in detail through examples. Participants will be trained on the general framework of coating failure analysis in order to acquire the skill of identifying the root cause of specific coating defects. Various approaches to mitigate coating failures, such as wet chemical coatings, paints, electro deposited and vacuum process deposited coatings will also be covered. In-depth learning will be aided by discussions on case studies and laboratory practices which will be customised to the field of work or interest of participants.

Implement Fundamentals of Corrosion & Corrosion Prevention

Corrosion is a multi-disciplinary issue affecting almost all industrial sectors. Losses due to corrosion are enormous and the economic impacts are significant, highlighting the dire need for proactive approaches to corrosion prevention and control. However, lack of knowledge and experience in corrosion and corrosion protection in the local technical community remains one of the main obstacles to effective actions in the industry. This module is designed to cater to local industrial needs with basic fundamental knowledge, correct industrial practices and corrosion assessment tests and protocols. It is organised to be interactive with case studies workouts and hands-on sessions.

Plan and Manage Project for Implementation

This module covers the methods for planning, executing and managing projects for developing technology, products and processes. Participants will also be taught on applications of project planning tools and skills for managing uncertainties and disruptions in project activities. Human, financial and business factors that influence the conduct of projects will be considered and explored.

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.

Materials Characterisation

The manufacturing industry faces a wide range of challenges to maintain a competitive edge in today’s dynamic marketplace. The ability to accurately characterise materials, test components and appropriately analyse the test results for problem-solving can help companies to reduce design cycles and R&D time, solve process problems, as well as improve product quality. This course is designed to provide participants with the core knowledge and skills needed to effectively apply advanced analytical tools and techniques in materials characterisation and testing of materials formulation, process development, failure analysis, and production quality control applications.

Practical Modules ("Implement")

Lab-based Practise Training

This module is designed to provide extensive hands-on practise training on basic skills on common processes, characterisation methods and data analysis encountered in industrial surface engineering. The module consists of 40 sessions (120 hours in total) which will allow participants the opportunity to operate the process equipment 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 experiments in these three categories:

Process Skills Training - Experiments will be carried out on the various surface engineering processes with the respective actual equipment, including electrochemical coating, PVD coating, sol-gel functional coating, and mechanical surface finishing.

Characterisation Methods for Surface Engineering - Hands-on experience with measurements of hardness,roughness, adhesion, chemical composition, microstructure, surface energy, as well as process control parameters.

Data Mining and Data Processing - Participants will be guided to collect data from machines in a model factory, pre-treat/clean and process the data to establish correlations among the process parameters and quality output. The emphasis is on the applications of various data analysis theories and methods to engineering problem-solving.

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

Pre-Requisites

  • 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
 $750*
* 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




Schedules

SGUS Specialisation Skills Course Reference Number
New Cohort's Expected
Commencement Period
  • Additive Manufacturing 
TGS-2020508863
Q1 Yr2022
  • Advanced Instrumentation and Quality Control through Digitalisation
TGS-2021009131Q1 Yr2021
  • Advanced Welding Technologies Robotised Processes
TGS-2020508868
Q1 Yr2022
  • Data-driven Surface Engineering with Process Digitalisation
TGS-2020508867Q1 Yr2022
  • Digital Transformation and Innovation™
TGS-2020508865Q1 Yr2022
  • Industrial Automation
TGS-2020508864
Q1 Yr2022
  • MedTech Product Manufacturing
TGS-2021008931
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