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Sustainable Digital Transformation: Redefining Returns of Investment (ROI) with Artificial Intelligence (AI)

  • Artificial Intelligence
  • Environmental, Social & Corporate Governance
  • Basic
  • SkillsFuture
  • Short Courses
  • This module is part of Advanced Certificate in Artificial Intelligence Enabled Climate Transformation

This programme is conducted on-campus.

To use your SkillsFuture Credit, please submit your claim through our payment portal. Do not submit the claim manually via the SkillsFuture page. Please refer to our step-by-step guide here.

Next course starts on
To be advised
Fee
SGD2,180* (as low as SGD254 after maximum funding) Learn More
Duration

2 days
Weekdays (9am - 6pm)

Level
Basic
Venue

Singapore Management University

Who Should Attend

  • Finance Directors
  • Investment & Capital Allocation Managers
  • Digital Transformation Leaders
  • Sustainability Strategy Leads 

PREREQUISITE

  • Participants should have at least 2 years of working experience in a business, sustainability, digital, technology, operations, policy, finance, or related professional role

Overview

Digital transformation is reshaping how organisations evaluate value creation, particularly in the context of sustainable and digital investments.

This course redefines ROI through the lens of AI-assisted decision-making and sustainable digital transformation. Participants will explore how AI tools enhance forecasting, scenario simulation, capital allocation, and sustainability performance measurement. It introduces frameworks that incorporate adaptation benefits, avoided risk costs, and long-term Environmental, Social and Governance (ESG) metrics into financial analysis. 

Through applied case exercises, participants examine how organisations assess digital transformation and sustainable investment opportunities using enhanced ROI models. These approaches account for resilience, carbon impact, and strategic enterprise value, enabling more informed and forward-looking investment decisions. 
 

Learning Objectives

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

  • Assess the limitations of traditional Return on Investment (ROI) models in the context of digital transformation, Artificial Intelligence (AI), and sustainability initiatives 
  • Understand how organisations prioritise digital and sustainable investments, balancing financial returns with long-term value creation 
  • Apply AI and Machine Learning (ML) approaches to identify gaps and opportunities in sustainability performance 
  • Develop AI-informed ROI frameworks that capture both financial and non-financial value drivers 
  • Translate data insights into sustainable innovation strategies that support business growth and competitive advantage 

Assessment

As part of the requirement for Skills and Workforce Development Agency (SWDA), there will be an assessment conducted at the end of the course. Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion.

Calculate Programme Fee

Click here for more information about SkillsFuture Credits (Not applicable for Company-sponsored participants)
For PSEA - Available only for Singapore Citizen below 31 (Not applicable for Company-sponsored participants)

Total Program Fee: SGD0.00

Fee Table

EMPLOYER-SPONSORED

PARTICIPANT PROFILE

SELF-SPONSORED

SME

NON-SME

Singapore Citizen < 40 years old

Permanent Resident

LTVP+

$654

(After SWDA Funding 70%)

$254

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

$654

(After SWDA Funding 70%)

Singapore Citizen ≥ 40 years old

$254

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

$254

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

$254

(After SWDA 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.

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.

Employer 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

Employers who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:

AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)

Intake Information

Next Intake: To be advised

*Registration will close 5 calendar days before the course start date, or once the class is full, whichever comes first.

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