Digital Finance Course

Lesson 1 • Regulatory Landscape Overview

Outlines the functional categories of regulation governing digital finance globally. Sets expectations for compliance themes revisited throughout the course.

Lesson 2 • Business Models in Digital Finance

Surveys revenue models including platform fees, interest spreads, and data monetization. Connects business model choice to competitive positioning.

Lesson 3 • Enabling Technologies at a Glance

Introduces the core technologies powering digital finance without deep technical detail. Provides context for technology-driven chapters that follow.

Lesson 4 • Defining Digital Finance Today

Establishes a precise definition of digital finance and its scope across payments, lending, and investment. Anchors all subsequent chapters in shared terminology.

Lesson 1 • Mobile and Digital Wallets

Examines wallet architecture, stored-value mechanics, and integration with loyalty and identity systems. Demonstrates how wallets aggregate multiple payment instruments.

Lesson 2 • Payment System Architecture

Explains how payment messages flow between payers, payees, and intermediaries. Establishes the technical vocabulary used throughout this chapter.

Lesson 3 • Card-Based Payment Products

Covers debit, credit, and prepaid card mechanics including authorization and chargeback processes. Connects card economics to issuer and acquirer profitability.

Lesson 4 • Real-Time and Instant Payments

Analyzes real-time payment rails, their design principles, and use cases in retail and corporate contexts. Highlights liquidity and risk implications of instant settlement.

Lesson 1 • Alternative Data in Underwriting

Explores non-traditional data sources such as transaction history, utility payments, and behavioral signals. Evaluates their predictive power and fairness implications.

Lesson 2 • Automated Underwriting Models

Covers scorecard construction, machine learning model deployment, and model governance in lending. Links model accuracy to portfolio performance metrics.

Lesson 3 • Digital Origination and Onboarding

Details the end-to-end digital application journey from identity verification to loan offer generation. Connects UX design choices to conversion and fraud outcomes.

Lesson 4 • Credit Fundamentals for Digital Lenders

Reviews core credit concepts including risk assessment, pricing, and portfolio management in a digital context. Grounds subsequent technical content in financial principles.

Lesson 1 • Blockchain Architecture Fundamentals

Explains blocks, chains, consensus mechanisms, and node types without assuming prior technical knowledge. Builds the vocabulary needed for applied DLT discussions.

Lesson 2 • Digital Assets and Tokenization

Covers asset tokenization, token standards, and the spectrum from utility tokens to security tokens. Prepares students for digital asset strategy discussions.

Lesson 3 • Central Bank Digital Currencies

Analyzes CBDC design choices including retail vs. wholesale models and their monetary policy implications. Situates CBDCs within the broader digital money landscape.

Lesson 4 • DLT Use Cases in Financial Services

Evaluates proven and emerging DLT applications in settlement, trade finance, and identity. Applies a structured framework to assess DLT fit vs. traditional databases.

Lesson 1 • AI Applications in Fraud and Risk

Examines real-time fraud detection, anomaly detection, and credit risk AI models in production. Addresses false positive management and operational integration.

Lesson 2 • Predictive Modeling in Finance

Introduces regression, classification, and time-series models applied to churn, default, and revenue forecasting. Connects model selection to business problem framing.

Lesson 3 • Responsible AI and Model Governance

Addresses fairness, explainability, and regulatory expectations for AI models in financial services. Equips students to build governance frameworks for AI deployment.

Lesson 4 • Descriptive and Diagnostic Analytics

Applies statistical summarization and root-cause analysis to financial datasets. Develops the analytical thinking needed before predictive modeling is introduced.

Lesson 1 • Product Design and Personalization

Applies user-centered design and data-driven personalization to digital banking product development. Demonstrates how personalization drives engagement and cross-sell.

Lesson 2 • Core Banking Technology Stack

Examines legacy core banking systems, cloud-native alternatives, and microservices architectures. Connects technology choices to agility, cost, and scalability outcomes.

Lesson 3 • Customer Acquisition and Onboarding

Covers digital acquisition channels, onboarding funnel optimization, and KYC automation. Links acquisition cost to lifetime value in digital banking economics.

Lesson 4 • Unit Economics and Scaling Strategy

Analyzes customer acquisition cost, lifetime value, and contribution margin for digital banks. Identifies the levers that drive profitability at scale.

Lesson 1 • Regulatory Security Requirements

Surveys mandatory security controls, penetration testing obligations, and breach notification rules. Links compliance requirements to operational security program design.

Lesson 2 • Threat Landscape in Digital Finance

Catalogs the primary cyber and fraud threats facing digital financial institutions today. Establishes a risk-based mindset for all subsequent security content.

Lesson 3 • Incident Response and Recovery

Outlines incident classification, response playbooks, and recovery procedures for financial cyber events. Prepares students to lead or support a structured incident response.

Lesson 4 • Fraud Detection and Prevention Systems

Examines rule-based and machine learning fraud detection systems and their operational integration. Addresses the speed-accuracy trade-off in real-time fraud decisions.

Lesson 1 • AML and Financial Crime Compliance

Covers the full anti-money laundering program lifecycle from risk assessment to suspicious activity reporting. Connects AML obligations to digital product design decisions.

Lesson 2 • Open Banking and Data Sharing Frameworks

Analyzes open banking mandates, API standards, and consent management architectures. Evaluates strategic opportunities created by data portability for digital finance firms.

Lesson 3 • Measuring and Communicating Digital Finance Value

Defines KPIs, OKRs, and board-level metrics for digital finance initiatives. Equips students to present strategy and performance to senior stakeholders.

Lesson 4 • RegTech Solutions and Applications

Surveys RegTech tools for KYC, transaction monitoring, and regulatory reporting automation. Demonstrates how technology reduces compliance cost and error rates.