Advanced Certificate in Supply Chain Intelligence Module 4: Machine Learning and the Digital Supply Chain

Analytics & Tech
Innovation & Business Improvement
Supply Chain Management

Next Intake: 26 Feb 2025 (Wed)

Basic
SkillsFuture
Short Courses
This module is part of Advanced Certificate in Supply Chain Intelligence

This module is conducted in-person.

Next course starts on

26 Feb 2025 (Wed) See Full Schedule

Fee

SGD3,270* (as low as SGD381 after maximum funding) Learn More

Duration

3 days
Weekdays (9am - 5pm)

Level

Basic

Who Should Attend

Business Development, Operations and Solutions executives in the logistics or sales and customer service of a logistics organisation
PMEs who have the relevant work experience from other service industries or sectors wishing to enhance their knowledge and skills or who are planning to expand their job portfolio or are seeking national certification/qualification in the logistics sector
PMEs and career switchers with supervisory or managerial experiences or individuals in other related industries planning to join the logistics sector

PREREQUISITES

Participants must possess at least 4 GCE 'O' level passes or equivalent
Participants with relevant working experiences may be considered for entry on a case to case basis if they do not have the necessary qualification

Overview

Traditional business intelligence has always been about producing insights into data about the past: last quarter's trends, last month's overtime, last week's sales, etc. Those insights are still important but they're no longer sufficient. Supply chain management using machine learning's (ML) predictive capabilities, on the other hand, helps buyers and suppliers get out in front of changes and stay resilient in the face of major disruptions. ML technology can process and analyse data from every layer of an enterprise to provide both high-level and incredibly granular forecasting for demand, delivery, customer behaviour and forward and reverse supply flow.

This module provides participants with essential knowledge of ML and Deep Learning using commercially available software and tools. Participants will also gain an understanding of big data, business data and analytics in business. They will learn how to generate business value from the application of Google AppSheet and RPA and be able to create business analytics reports and analyse business data sets to generate facts, valuable outcomes and sustainable impacts.

Learning Objectives

At the end of the 3-day module, participants will be able to:

Manage “The Big Data” in the supply chain
Align Industry 4.0 solutions within the supply chain
Understand Artificial Intelligence, ML and Deep Learning
Learn about immersive technologies and their applications
Gain an understanding of intelligent transport and distribution systems

Assessment

As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.

Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.

Calculate Programme Fee

Fee Table

COMPANY-SPONSORED

PARTICIPANT PROFILE

SELF-SPONSORED

SME

NON-SME

Singapore Citizen < 40 years old

Permanent Resident

LTVP+

$981

(After SSG Funding 70%)

$381

(After SSG Funding 70%
+ ETSS Funding 20%)

$981

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$381

(After SSG Funding 70%
+ MCES Funding 20%)

$381

(After SSG Funding 70%
+ ETSS Funding 20%)

$381

(After SSG Funding 70%
+ MCES Funding 20%)

International Participant

$3,270

(No Funding)

$3,270

(No Funding)

$3,270

(No Funding)

All prices include 9% GST

SkillsFuture Level-Up Programme for Mid-Career Individuals
A SkillsFuture Credit (Mid-Career) top-up of $4,000 will be provided to Singaporeans aged 40 years and above to further offset out-of-pocket course fees for this programme.

Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.

Self Sponsored

SkillsFuture Credit: Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.

This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.

Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).
Workfare Skills Support Scheme: From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.

Company Sponsored

Enhanced Training Support for SMEs (ETSS)

Organisation must be registered or incorporated in Singapore
Employment size of not more than 200 or with annual sales turnover of not more than $100 million
Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
Trainees must be Singapore Citizens or Singapore Permanent Residents
Trainees must not be a full-time national serviceman
Trainees will be able to enjoy ETSS funding only if the company's SME's status has been approved. To verify your SME's status, please click here.

Please click here for more information on ETSS.

Absentee Payroll