Advanced Certificate in Artificial Intelligence in the Digital Economy Module 2: Machine Learning and Data Analytics for Business Applications

Analytics & Tech
Innovation & Business Improvement

Next Intake: 1 Sep 2025 (Mon)

Basic
SkillsFuture
Short Courses
This module is part of Advanced Certificate in Artificial Intelligence in the Digital Economy

This module is conducted in-person.

Next course starts on

1 Sep 2025 (Mon) See Full Schedule

Fee

SGD2,180* (as low as SGD254 after maximum funding) Learn More

Duration

2 Full Days (Weekdays)

Level

Basic

Who Should Attend

Business professionals, data scientists, and analysts from diverse industries aiming to leverage machine learning and data analytics for strategic decision-making and optimising business processes in the digital economy

PREREQUISITES

There are no prerequisites for this programme. Prior knowledge on any of the topics is not required

Overview

This module is designed to provide participants with a comprehensive understanding of how machine learning and data analytics can be leveraged in the context of business applications within the digital economy. It covers fundamental concepts of machine learning, including supervised and unsupervised learning, as well as advanced techniques such as deep learning. Participants will also gain practical insights into data analytics methodologies, tools, and best practices for extracting meaningful insights from large datasets. Emphasis will be placed on real-world business applications, enabling participants to develop the skills necessary to make data-driven decisions that drive business growth and innovation.

Throughout this module, participants will engage in hands-on exercises using industry-standard tools and platforms to apply machine learning algorithms and data analytics techniques to solve complex business challenges. By the end of the module, participants will have acquire a solid foundation in leveraging machine learning and data analytics for strategic decision-making within modern businesses operating in the digital economy.

Learning Objectives

At the end of the 2-day module, participants will be able to:

Understand the fundamental principles of machine learning and data analytics, including key algorithms and techniques commonly used in business applications
Develop the ability to apply machine learning and data analytics tools to real-world business problems, with a focus on identifying opportunities for automation and optimisation
Gain proficiency in using popular programming languages such as Python for implementing machine learning models and conducting data analysis within a business context
Acquire knowledge of ethical considerations and best practices related to handling sensitive business data when applying machine learning and data analytics techniques
Demonstrate the capability to interpret results from machine learning models, communicate findings effectively, and make informed decisions based on insights derived from data analysis in a business setting

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+

$654

(After SSG Funding 70%)

$254

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

$654

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$254

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

$254

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

$254

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

International Participant

$2,180

(No Funding)

$2,180

(No Funding)

$2,180

(No Funding)

All prices include 9% GST

Please note that the programme fees are subject to change without prior notice.

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 are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here.

Please click here for more information on ETSS.

Absentee Payroll