SkillsFuture Career Transition Programme (SCTP):

Supply Chain Analytics and Operations Management

SCTP in Supply Chain

This is one of the specialisations offered as part of the SCTP Digital Manufacturing and Supply Chain courses, which spans *three-month on a part-time basis.

*The total duration of the SCTP course may slightly vary, being either longer or shorter than 3 months for certain intakes. Please consult the specific course calendar for the intended intake before enrolling.

This specialisation is offered on a part-time basis. Singapore Citizens aged 40 years and above who are admitted into this specialisation may be eligible for the SkillsFuture Mid-Career (Part-time) Training Allowance.

What is SCTP?

The SkillsFuture Career Transition Programme (SCTP) is an initiative of the SkillsFuture Movement to help individuals in career transition by acquiring industry-relevant core competencies.

This Train-and-Place initiative allows the trainees to attend training courses and other immersive learning activities, in addition to access to career advisory services and employment facilitation, while earning recognised certificates.

The SCTP trainees will attend classes, hands-on labs and other immersive learning activities to earn Workforce Skills Qualifications (WSQ) Statement of Attainments (SOAs) or other certificates.

We deliver through

  • Relevant and timely case study-based curriculum
  • Hands-on practical training combined with industry Best Practices insights
  • Access to cutting-edge technology developed by SIMTech and ARTC experts
  • Regular sessions conducted in our state-of-the-art labs
  • Blended learning options combining expert classroom lectures and e-learning convenience
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Career Advisory Services

  • Participate in career talk (workshop, clinic sessions)
  • Job matching and interview facilitation
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Our Training Programme

  • Train-and-Place Modality
  • Industry-focused curriculum
  • Can continue to work
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Course Fee Funding Support

  • Up to 95% subsidies for Singapore Citizens, SPRs, LTVP+ Holders
  • SkillsFuture Credit eligible
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Stage 1
  • APPLICATION
    • Applicant to submit online application and curriculum vitae (CV) via the APPLY NOW Button.
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Stage 2
  • EVALUATION
    • Applications will be evaluated by a committee.
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Stage 3
  • ACCEPTANCE
    • Shortlisted applicants who are successfully enrolled to the programme to receive a course confirmation and offer email.
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Stage 4
  • INDUCTION
    • SCTP trainees attend a course briefing workshop.

Quick Link


Introduction

This specialised SCTP programme is tailored to empower Supply Chain Analysts with adaptive skills and digital leadership competencies essential in the age of Artificial Intelligence (AI). By offering training in Machine Learning technology skills for Supply Chain Analytics and Operations Management, the programme ensures that participants not only remain relevant in today’s dynamic economy but also are primed for new opportunities with their enhanced expertise.

Targeted Job Role(s)
  • Supply Chain Analyst

List of Modules

Introduction

In an era where Artificial Intelligence (AI) and digital technologies are revolutionizing industries, leaders must evolve to navigate the complexities of this digital landscape. The transformation towards Industry 4.0 is not merely a technological shift but a holistic change that encompasses business value, organisational processes, and human capital.

About The Programme

This programme aims to help company leaders understand digital leadership competencies, leading to improvements in productivity, employee motivation and business performance. Enabling leaders to understand digital transformation goes beyond the digital to target the transformation of business value propositions, the organisation process, and its people. This 2 half-day programme equips middle and senior managers with vital skills for leading in the Age of AI. The curriculum covers essential frameworks for digital transformation, helps assess organisational readiness for AI changes, and offers insights into emerging technologies. It also addresses job redesign in the context of AI.

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Course Outline

The programme is delivered through practical applications of Supply Chain, Enterprise & Frontline digital technologies, to enable company leaders to understand the following key topics:

MODULAR TECHNOLOGIES
  • Real-time Planning & Scheduling
  • Digital Workflow Automation
  • Inventory Analytics and Planning System
  • Data-driven Inventory Planning
  • Predictive and Prescriptive Maintenance System
  • Holistic Energy Management
  • Real-time Dashboard
AI TECHNOLOGIES
  • AI-powered Predictive Prescriptive Maintenance
  • AI-driven Rapid Production Capacity Optimisation
  • AI-assisted Cost Estimation
  • AI-driven Pick and Place Robotics
  • AI-powered Inspection System Prototyping
  • Gen-AI Logistics for Customer Service
  • Gen-AI Knowledge Transformation Workflow
DIGITAL MATURITY & TRANSFORMATION
  • Digital Business Strategy
  • Digital Competency
  • Supply Chain Integration
  • Enterprise Connectivity
  • Enterprise Intelligence
JOB REDESIGN IN THE AGE OF AI
  • Task Automation with Human Oversight
  • Skill shift to No-code Development
  • Real-time data Decision Support
  • Human-AI Collaboration Interface
  • Governance, Ethics & Compliance

Find Out More

Introduction

In today’s connected world, machine learning has emerged as a key technologies for improving business operations in organisations. It extracts meaningful insights from raw business data for better decision support & making in the supply chain planning and operations management.

About This Programme

This programme focuses on applying relevant machine learning techniques to extract hidden patterns from either commercial systems such as CRM, ERP or excel files containing large volume of transactions data amassed over the years. Some of the examples are listed below:

  • Sale Order
    • Hidden trend and patterns in demand
  • Sales + delivery (demand) order
    • Order fulfilment performance
  • Purchase + delivery (supply) order
    • Supplier performance
  • Purchase + delivery (supply) order + sales order 
    • Operational uncertainty

Course Outline

The programme adopts the Learn-Practise-Implement™ (LPI™) pedagogy. Participants will acquire knowledge through a gradual learning curve, reinforce the knowledge and skill taught by working on hands-on examples that are related to their work, and apply the knowledge acquired to solve their business problems.

Key focus areas or applications:

  • Data analytics fundamentals
  • Data visualization
  • Supervised learning
  • Unsupervised learning
  • Decision analysis
  • Supplier/customer profiling
  • Demand pattern discovery
  • Order lead-time analysis
  • Demand forecasting
  • Managing demand uncertainty

The machine learning topics covered in this course are aimed to provide insights for better decision support in the areas of demand planning, inventory planning and profile analysis of suppliers and customers.


Find Out More


Additional Information

Certifications

There are 2 modules for completion under the SCTP: Supply Chain Analytics and Operations Management course.

Participants will be awarded a Certificate of Attendance (COA) for passing each of the individual modules listed below:

  • Digital Leadership In the Age of Artificial Intelligence (AI) (8 hours)
  • Machine Learning for Supply Chain Analytics and Operations Management (40 hours)

Note:

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.

Pre-Requisites

  • Only Singapore Citizens, Singapore Permanent Residents and Long-Term Visit Pass Plus Holder (LTVP+) aged at least 21 years old (based on the year of course commencement) who can commit to the SCTP courses on a part-time basis are eligible to apply.

  • 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.

Programme Fees

  Before GST After GST 9%
Full Course Fee $5,800 $6,322
Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders aged 21 years and above ¹  $1,740 $1,896.60
Singapore Citizens aged 40 years and above ²  $580 $736.60
Singapore Citizens who are eligible for Additional Funding Support ³  $290 $446.60
  • ¹ Eligible Singapore Citizens aged 39 years and below, SPRs and LTVP+ holders aged 21 years and above can enjoy a baseline subsidy of up to 70% funding of the course fee.
  • ² Singapore Citizens aged 40 years and above are eligible for up to 90% course funding under the Mid-career Enhanced Subsidy (MCES).
  • ³ Singapore Citizens who meet at least one of the following eligibility criteria can enjoy up to 95% funding under the Additional Funding Support (AFS):
    a. Long-term unemployed individuals (at least 6 months or more); or
    b. Persons with disabilities; or
    c. Individuals in need of financial assistance - ComCare Short-to-Medium Term Assistance (SMTA) recipients or Workfare Income Supplement (WIS) recipients

Additional Information:


Long Term Visit Pass Plus (LTVP+) Holders
The LTVP+ scheme applies to lawful foreign spouses of Singapore Citizens with (i) at least one Singapore Citizen child or are expecting one from the marriage, or at least three years of marriage, and (ii) where the Singapore Citizen sponsor is able to support the family.

All LTVP+ holders can be identified with their green visit pass cards, with the word ‘PLUS’ printed on the back of the card.

How Programme Fees are Calculated

TYPE CATEGORY OF INDIVIDUALS
Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders aged 21 years and above ¹ Singapore Citizens aged 40 years and above ² Singapore Citizens who are eligible for Additional Funding Support ³  
FUNDING SOURCE
SkillsFuture Funding (Baseline) SkillsFuture Mid-career Enhanced Subsidy (MCES) ² Additional Funding Support (AFS)³
 Full Programme Fee $5,800 $5,800 $5,800
Funding Support  ($4,060)  ($5,220)  ($5,510)
Nett Programme Fee  $1,740 $580  $290
GST 9%  $156.60* $156.60* $156.60*
Total Programme Fee Payable to Training Provider  $1,896.60 $736.60 $446.60
* Based on 30% of Full Course Fee

Training Allowance

The SkillsFuture Mid-Career Training Allowance is a scheme under the SkillsFuture Level-Up Programme that supports mid-career Singaporeans aged 40 and above in upskilling and reskilling to stay competitive and relevant in a rapidly changing economy. Please visit the funding agency's website for more information.

Find out more


Why Choose SIMTech's SCTP Digital Manufacturing And Supply Chain Courses

A*STAR SIMTech offers eight SkillsFuture Career Transition Programmes (SCTP) in Digital Manufacturing and Supply Chain, each representing a unique technical pathway. As advanced manufacturing in Singapore grows, these courses help professionals stay ahead in an evolving industry. With digitalisation advancing, companies must adapt to remain competitive. SIMTech's programmes provide participants with the latest skills and knowledge, preparing them for the demands of a dynamic manufacturing and supply chain landscape.
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Browse through other SCTP Digital Manufacturing and Supply Chain courses here.

John, a 40-year-old Engineer, aspires to pivot to a new job role in the automation sector that demands skills and competency in digital leadership and digital business flow. Seeking support for this mid-career job pivot, John explores the train-and-place programme with SIMTech for training suitability and funding eligibility.

After a series of consultations and confirmation of training suitability and eligibility, John registers and begins a three-month SCTP on a part-time basis. During this period, SIMTech supports John with job-specific skills trainings, job placement facilitation, including job referrals, interview opportunities, and career coaching to improve his placement prospects.

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Registration

  • Successful applicants will be notified on their batch's commencement date.

Contact Us


Schedule

SCTP Specialisation
Skills Course Reference Number Expected Commencement Date Registration Status
  • Supply Chain Analytics and Operations Management
TGS-2024046148 Successful applicants will be notified on their batch's commencement date.

Note: A*STAR SIMTech and A*STAR ARTC reserve the right to change the class/schedule/course fee or any details about the course without prior notice to the participants.

Announcement:

  • From 1 Oct 2023, attendance-taking for SWDA-approved/SWDA-funded courses must be done digitally via the Singpass App. More information may be viewed here.
  • Participants will be provided with digital course materials when attending our courses. Please note that printed copies will not be available.