Programme Partner
Overview
The Digital Finance and Fintech with AI Programme from Singapore Management University (SMU) equips learners with applied skills across AI and machine learning in finance, robotic process automation (RPA), blockchain and tokenisation, and quantum computing.
Each module connects technology to business outcomes—from improving decision-making and risk modelling to designing smarter financial products and sustainable,
data-driven strategies.
Through case studies and exposure to Singapore’s innovation ecosystem, participants will develop the strategic and technical fluency to lead transformation across banking, payments, investment, and regulatory functions. Whether you are a finance professional ready to pivot towards fintech, or a technologist seeking to deepen your understanding of financial systems, this programme offers the frameworks, industry context, and network to accelerate your career in digital finance.
Learners will benefit from faculty experts at the intersection of finance, data analytics, and emerging technology, who bring insights from industry collaborations and applied research in fintech innovation, digital banking, and financial AI.
- Next Course Starts On 31 March 202
- Duration21 Weeks, Online 4-6 hours a week
- VenueOnline
Learning Objectives
➤ Describe the financial services sector, impact of digital disruption and the evolution of fintech
➤ Discuss embedded payments, lending, and insurance within non-financial platforms
➤ Demonstrate the functioning of digital payment systems, mobile banking, neobanking, and innovative lending models.
➤ Analyse the use of big data, predictive analytics, and credit analytics for risk management and fraud detection.
➤ Discuss how emerging technologies —such as blockchain, open banking, API connectivity, cloud computing, quantum computing, AI, and generative AI—can be integrated into financial services processes, along with essential cybersecurity considerations
➤ Design digital business models, formulate customer experience strategies, and develop approaches aligned with regulatory frameworks and fintech requirements.
➤ Evaluate ethical, regulatory, and responsible AI considerations in deploying AI & ML in financial services.
➤ Describe the ways financial institutions and FinTech innovations support sustainable finance through ESG principles, digital tools, and alignment with global sustainability framework
PROGRAMME HIGHLIGHTS
Flexible Learning
Learn at your own pace through pre-recorded sessions that bring cuttingedge insights and global perspectives on fintech and digital transformation.
Live Masterclasses with Faculty
Engage directly with the distinguished SMU faculty in interactive live sessions designed to deepen your understanding of real-world fintech applications and emerging AI trends
Real World Case Studies and Examples
Translate theory into action through practical assignments, tools, and case studies drawn from the world’s leading financial institutions and tech innovators
Capstone Project for Real-World Impact
Apply your learning in a 2-week capstone project that challenges you to solve contemporary digital finance or AI-led business problems using data-driven insights.
Prestigious Certificate
Earn a recognised certificate of completion from Singapore Management University (SMU)—a globally reputed, triple-accredited institution ranked among Asia’s best for business and finance education.
Topics/Structure
- Strategic Impact of GenAI on Banking & FinTech
- Designing Strategic AI Solutions for Competitive Advantage
- Implementation Strategies & FinTech
- Governance, Verification & ESG
- Use Cases
- Quantum as a Natural Evolution of AI in Finance
- Benefits of Quantum Computing
- Practical Use Cases with AI Context
- Bridge to FinTech and Digital Transformation
- From AI to Quantum Readiness
- Overview
- Introduction to Green Finance
- FinTech for Sustainability
- ESG Integration in Financial Services
- Government and Industry Initiatives
- International Collaborations and Frameworks
- Future Trends in Green Finance
- Key Events in Fintech : Global, APAC
- RegTech: Overview and Use Cases
- Regulatory Bodies: Overview, Objective and Actions
- Regulatory Compliance and Legal Frameworks in Fintech
- Regulatory Strategies to Promote Innovation: the Regulatory Sandbox, Innovation
- Offices, Accelerators
- Overview
- Understanding the Disruption in CX
- Introduction to Design Thinking
- Strategy and Tactics to Compete and Win in Financial Services
- Storytelling and Customer Journey
- Design Thinking in Services and Customer Experience
- Empathising with Ethnography
- Defining by (Re)framing
- From Insights to Solutions: Selling Your Proposition
- Value Propositions from the Banking Example
- Consumer Demand of FinTechs
- Summary
- Overview
- The State of Disruption
- How do Networks Work?
- The Digital Economy
- Scaling in Networks
- Platforms
- Leveraging the Platform
- What Has ‘Silicon Valley’ Done for Us?
- Technologies and What They Mean
- From Machine Learning to AI
- Summary
- API Economy, and Supply Chains
- Hybrid Clouds and Social Networks
- Generative AI, Agentic AI, and AI Data Centres
- Digital Currencies
- Cyber Readiness for Ǫuantum
- Traditional Finance vs. Tokenised Finance
- Industry Applications and Case Studies
- Cybersecurity, Governance, Risk, and Compliance Considerations
- Future Trends and Industry Outlook
- Blockchain and Its Key Concepts
- Introduction to Distributed Ledgers and Blockchains
- Cryptocurrencies and Tokenisation
- Central Bank Digital Currencies (CBDCs) and Stablecoins
- Centralisation vs. Decentralisation
- Financial Services Sector
- Impact of Digital Disruption
- Evolution of Fintech
- Action Plan for Legacy FIs
- Prognosis for the Future
- Introduction to Generative AI
- Architecture & Prompt Engineering
- Generative AI in the Financial Services Ecosystem
- Harnessing GenAI for Strategic Advantage in Banking & Finance
- Privacy-Preserving, Low-Latency On-Device GenAI
- Strategic Overview: RPA, AI Agents & Agentic AI
- Emerging Trends & Strategic Opportunities
- Business-Centric RPA Implementation
- Shared Finance Services That Can Benefit from RPA
- Pre-requisites and Factors for Consideration and the Various Tools Needed for AI and Robotics Services
- Industry Use Cases & Impact
- Developing an AI Strategy
- Building AI Capabilities:
- Ethical Considerations
- AI Applications in InsureTech and WealthTech
- Regulatory Compliance
- AI-Driven Fraud Detection and Prevention
- Intelligent Credit & Risk Decisions with AI & ML
- Enhancing Customer Experience Through AI-Powered Automation
- AI-Enabled Market Insights
- Strategic Overview of AI & ML in Financial Services
- AI & ML Evolution in Financial Services
- Harnessing AI & ML for Strategic Advantage in Banking
- Global Trends and Adoption Rates
- Data Analysis—Big Data, Application in Finance
- Descriptive Analysis
- Predictive Analysis
- Credit Analytics
- Analytics in Risk Management and Fraud Detections
- Data Security and Privacy
- Payment Systems Architecture
- Mobile Banking and Digital Wallets
- Neobanking (UOB TMRW focus)
- BNPL Ecosystem (Atome Case)
- Alternative Lending—P2P & Crowdfunding (Funding Societies)
- Ecosystem Mapping for Business Adoption
- Foundations and Value Chain Framework
- Embedded Payments (Singapore Focus)
- Embedded Lending & BNPL
- Embedded Insurance & Wealth
- Strategic Implementation (Changi Airport Group/Capital and Group Fireside Chat)
- Risks, Regulation, and Future Trends
Who Should Attend
The programme is designed for
• Finance and technology leaders who are driving or preparing to drive digital transformation in their organisations
• Professionals seeking to deepen their understanding of fintech innovations, AI-driven financial strategies, and emerging digital business models that are reshaping the financial services ecosystem.
• Mid-Career Professionals or Individuals looking to accelerate their careers by mastering digital and AI-led transformation within finance and related sectors
• Senior Professionals or experienced finance leaders aiming to strategically harness AI, data, and fintech innovations to lead enterprise-wide transformation.
Assessment
Schedule
Start Date(s) : Tue, 03/31/2026 - 12:00
Intake Information :
Refer to Online Singapore Management University Courses - Emeritus - Online Certificate Courses | Diploma Programs for the latest updates on application dates and discounts.
For more enquiries, please email to ur-opsteam-APAC@emeritus.org or ruswelt.pereira@emeritus.org.
Alternatively, you may also write to us at exd@smu.edu.sg for any urgent matters related to the programme.
Programme Fee
US$ 2,500 +Applicable Taxes
*Singapore residents who wish to enrol for this programme will be charged GST.
*Applicable taxes will be charged at checkout.
