SkillsFuture Career Transition Programme · SCTP
NUS Digital FinanceProject Managementwith AI
Shaping the future of financial project management with AI.
- Format
- Hybrid
- Duration
- 98 hours
- Next Course Run
- To be confirmed
- Pre-Requisites
- Min. Diploma
Programme overview
Our Digital Finance Project Management with AI programme delivers a comprehensive, practical overview of how Artificial Intelligence is reshaping project management and operations across the financial sector.
Read programme overview
You'll gain hands-on insights into managing digital finance projects in an AI-driven environment, from improving project planning and execution to leveraging data-driven approaches that enhance efficiency, streamline workflows, and support innovation in financial services.
The programme also covers how AI technologies integrate into financial projects, alongside the ethical, regulatory, and governance frameworks essential for responsible adoption. Through real-world examples and industry-relevant case studies, you'll see firsthand how financial institutions are using AI to lead digital transformation.
By the end, you'll have the knowledge and practical perspective to confidently support and manage AI-enabled projects in today's rapidly evolving financial industry.
Who is this programme for?
Professionals seeking a career transition into fintech, digital finance, or AI-driven roles
Individuals interested in project management within financial services
Finance, business, or technology graduates looking to build relevant industry skills
Professionals aiming to upskill in AI applications and digital transformation in finance
Pre-Requisites: Min. Diploma
Industry context
$2.6T to $4.4 T
in estimated annual global economic value generative AI could deliver across industries, including finance, unlocking efficiencies and transforming how organizations generate and act on insights.
Source: McKinsey Global Institute
71%
of organizations are already using AI in their finance operations, with machine learning, deep learning and generative AI delivering measureable benefits including faster insights and better decision-making
Source: KPMG
Programme details
- Understand AI applications and the development lifecycle in financial services.
- Manage digital finance projects with ethical and regulatory awareness.
- Apply learning through a practical capstone project.
View detailed learning outcomes
Holistic Learning in AI-Driven Financial Transformation
Gain a comprehensive understanding of how Artificial Intelligence (AI) is transforming financial services and digital operations.
Understanding the AI Development Life Cycle
Explore the key stages of AI development, from identifying business problems to deploying and monitoring AI solutions in financial workplaces.
AI in Financial Services
Learn how AI tools and technologies are applied in financial sector to enhance operations, improve decision making and support innovation
Ethical and Regulatory Considerations
Understand the ethical responsibilities and regulatory frameworks involved in implementing AI technologies in the financial industry.
Digital Finance Project Management
Develop practical knowledge of managing digital and AI driven projects in financial institutions, including planning, execution and stakeholder coordination
Capstone Project
Apply your learning through a practical project focused on managing AI initiatives within financial organisations.
Programme fees & funding
Course Fees: SGD 12150.00 (before subsidies)
SkillsFuture Code:TGS-2025055569
This programme is eligible for subsidies under SWDA Funding. Singaporeans and Permanent Residents can enjoy subsidies up to 95%.
Self-sponsored participants
Singapore Citizens aged 40 years and above
SGD 1,543.05²Including 9% GSTSingapore Citizens & Permanent Residents under Persons With Disabilities (PwDs)
SGD 935.55³Including 9% GSTAll fees stated above are net fees payable after subsidies and include 9% GST.
All Singaporeans aged 25 years old and above are eligible to claim their SkillsFuture Credits to further offset the net fees payable.
¹Up to 70% course fee funding
²Up to 90% course fee funding under MCES or ETSS
³For PwDs, up to 95% course fee funding. More information under HERE.
Course modules
Financial Applications of Artificial Intelligence
Understand how AI, Machine Learning, and Neural Networks are applied in financial services to enhance processes such as fraud detection, financial analysis, forecasting, and investment decision-making.
Financial Organizations Adopting Emerging Technologies: Strategies and Best Practices
Learn how financial institutions strategically implement AI to strengthen risk management, fraud prevention, regulatory compliance, and data driven financial decision making
Financial Services Project Management using Emerging Technologies
Explore project management practices in financial services and how emerging technologies like AI are transforming processes such as credit scoring, trading, risk assessment, and financial forecasting.
Financial Ethics and Regulatory Considerations in AI Adoption
Examine the ethical, regulatory, and governance considerations of AI in finance, including fairness, transparency, privacy, and responsible AI implementation.
Towards Financial industry transformation: understanding the AI Development Life Cycle
Understand the AI development lifecycle and how financial organisations deploy AI solutions to improve operations such as credit analysis, transaction monitoring, KYC, and risk management
Finance in the Age of Technology: Emerging Trends and Financial Technologies
Discover how emerging technologies such as blockchain, digital currencies, cloud computing, and AI are transforming financial systems, data integration, and financial advisory services.
Digital Transformation in Finance & Technology Firms
Gain real world insights through industry exposure to how financial and technology firms use AI to improve financial analysis, automation, and client decision making
Project Management in the Financial Sector: Capstone Project
Apply your knowledge of AI and emerging technologies to solve real financial industry challenges through a practical, industry focused capstone project
Programme schedule
The listed Aug–Nov 2026 run is closed. The next course run is to be confirmed.
Schedule Aug - Nov (Closed)
| Modules | Schedule |
| Financial Applications of Artificial Intelligence | 26, 29 Aug 2026 |
| Financial Organizations Adopting Emerging Technologies: Strategies and Best Practices | 8, 12 Sep 2026 |
| Financial Services Project Management using Emerging Technologies | 15, 19, 22, 26 Sep 2026 |
| Financial Ethics and Regulatory Considerations in AI Adoption | 29 Sep, 3 Oct 2026 |
| Towards Financial industry transformation: understanding the AI Development Life Cycle | 6, 7, 13, 14, 17 Oct 2026 |
| Finance in the Age of Technology: Emerging Trends and Financial Technologies | 20, 24 Oct 2026 |
| Digital Transformation in Finance & Technology Firms (In-person company visit) | 27, 28 Oct 2026 |
| Project Management in the Financial Sector: Capstone Project (In-person @ NUS) |
30 Sep, 1, 8, 15, 21, 21, 22, 27, 28, 29, 31 Oct 2026 |
- Modules running on Weekdays will be held from 19:00 to 22:00
- Modules running on Saturday will be held from 09:00 to 13:00
- Modules for 27, 28 Oct will be held in-person on-site in the afternoon
- Project Management (Capstone) modules will be held in-person @ NUS from 19:00 to 22:00
- An assessment will be held on the last day of each module
- Sessions that are not conducted in-person will be held online
*All stated sessions are required to be attended
*Schedule is subject to changes
*Please note that registration for the this scheduled run is closed
Programme Director & Instructors
Programme Director
Dr Joey Tan
Vice President, DAMAC Digital
Adjunct Professor, Asian Institute of Digital Finance
Global technology executive with over 27 years of leadership experience in AI, cloud and digital transformation.
Read full biography
Dr. Joey Tan is a global technology executive with over 27 years of leadership experience driving AI, cloud, and digital transformation initiatives across APAC, EMEA, and LATAM. He has held senior leadership roles including Chief Operating Officer at Microsoft Singapore, Managing Director at Alibaba Group, and Head of Commercial Sales at Amazon Web Services Singapore, where he worked closely with governments and enterprises on large-scale digital transformation and cloud adoption.
At the NUS Asian Institute of Digital Finance, he serves as an Adjunct Associate Professor and Programme Director, designing and delivering executive programmes that help financial leaders bridge the gap between AI strategy and real-world implementation. His teaching focuses on areas such as Generative AI, agentic enterprises, responsible AI adoption, and evaluating the business value of emerging technologies in the financial sector.
Beyond academia, Dr. Tan remains active in the professional community as the Chair of the Sustainable Tech Executive Committee at the Singapore Computer Society, where he contributes to advancing discussions on sustainable and responsible technology development. He also serves as a Board Trustee for the Global Centre for Risk and Innovation.
Dr. Tan holds a Doctorate in Business Administration from Singapore Management University and a Bachelor of Applied Science in Computer Engineering from Nanyang Technological University.
Programme Instructor
Dr Ashish Kakar
Strategic Advisor, Asian Institute of Digital Finance
LinkedIn profileDirector (Research) Financial Insights at IDC, with experience in banking and fintech.
Read full biography
Ashish Kakar is a Director (Research) Financial Insights at IDC. Previously he was a banker and has managed his own fintech. Ashish received his DBA from Durham University and emlyon business school, France. Ashish has won multiple awards including best thesis at Durham University and CXO conference 2.0 business leadership. Ashish co-authored a research paper on Smart Cities that was launched in the House of Lords, UK Parliament. The paper was recognized by thinkers 360 in 2025 as a global thought leadership content. Currently, Ashish is an advisor to AIDF, NUS and a visiting fellow with Durham University Business School.
Managing Director, APAC at Swarm AI and founder of Deriv Asia X, with extensive financial markets experience.
Read full biography
Sam Ahmed is Managing Director, APAC at Swarm AI and founder of Deriv Asia X. He previously served as Group COO for Global Financial Markets at DBS Bank in Singapore. Prior to DBS, he held senior roles at Lehman Brothers, Merrill Lynch, and Citi across trading, sales, risk, and operations functions in Asia-Pacific. His work focuses on financial markets infrastructure, risk, front to back workflows, and the application of artificial intelligence and emerging technologies in banking. Sam also serves as a guest lecturer on the NUS Executive MBA programme and Advisor for SMU's graduate programs at the LKC School of Business. He regularly speaks at international conferences on the impact of emerging technology on Global Markets and Finance. He received his BA in Economics from Macquarie University and his MSc in Communications (Behavioural Science) from Singapore Management University
Career advisory support
To support your career transition, the SCTP programme includes career advisory services from NUS SCALE. You will gain access to career coaching, job search guidance, and opportunities to connect with potential employers in the digital finance sector.
*NUS SCALE is committed to helping you maximise your employment prospects. However, as hiring decisions ultimately rest with employers and depend on multiple factors, we are unable to guarantee job placement.
View career support & potential roles
Here's what to look forward to:
- Career advisory sessions to help you plan your next move
- Opportunities to network with relevant employers and government agencies
- Support in navigating the job market in digital finance and AI job market
Where can this programme take you?
Based on industry demand, graduates of this programme may be well-positioned for roles such as:*
- Technology Project Manager (Financial Services)
- IT Business Analyst (AI & Analytics Projects)
- Digital Project Coordinator (Finance / FinTech)
- Scrum Master for AI and Technology Teams
- Product Analyst (Digital Banking / FinTech)
- Operations, Compliance, Risk, and Business Transformation Roles
- Non-Technical Leaders Transitioning into AI and Digital Programmes
*Roles listed here are indicative and based on industry research and not comprehensive.
Frequently asked questions
Read the SCTP frequently asked questions from NUS SCALE.
View FAQs (PDF)Register your interest
Contact our team about the programme and upcoming course runs.