Artificial Intelligence (AI) Governance and Data Management in Accounting and Finance
- Analytics & Tech
- Artificial Intelligence
- Finance & Investment
This module 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.
2 days
Weekdays (9am - 6pm)
Singapore Management University
Who Should Attend
- Management Accountants
- Financial Accountants
- Auditors
- Financial Controllers
- Finance Managers
Overview
The course provides a business-focused foundation in how data is managed, governed, and leveraged within organisations. Participants will explore the key components of effective data management, including data quality, lifecycle governance, and control frameworks, and how these directly impact business performance.
The course also examines how AI is applied within finance functions, highlighting the relationship between well-managed data and reliable AI outcomes. By understanding how data supports analytics, reporting, and decision-making, participants will be better equipped to evaluate and contribute to AI initiatives in their organisations. At the end of the course, participants will gain the ability to assess data as a strategic asset, understand its role in enabling AI, and apply sound data management principles to support more informed, data-driven financial decisions.
Learning Objectives
At the end of the 2-day programme, participants will be able to:
- Demonstrate an appreciation for the strategic role of data management in business decision-making, and how high-quality data underpins reliable Artificial Intelligence (AI) outcomes in finance
- Describe key regulatory demands and industry frameworks for data governance, including Singapore's Personal Data Protection Act (PDPA) obligations and international data management standards
- Explain the need for robust data quality controls across the entire data lifecycle, and identify technology approaches that support these controls
- Evaluate how finance professionals' roles are evolving to encompass data management, AI risk oversight, and data sharing governance
- Describe how data innovation, including data monetisation and AI-powered analytics, is being applied in accounting and finance functions
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
Fee Table
| EMPLOYER-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$784.80 (After SWDA Funding 70%) |
$304.80 (After SWDA Funding 70% |
$784.80 (After SWDA Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$304.80 (After SWDA Funding 70% |
$304.80 (After SWDA Funding 70% |
$304.80 (After SWDA Funding 70% |
|
International Participant |
$2,616 (No Funding) |
$2,616 (No Funding) |
$2,616 (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.
Course commencement is subject to sufficient enrolment and confirmation by SMU Academy.
Affiliate Faculty
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