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Open Data and Intelligent Finance

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Open Data and Intelligent Finance

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Gain insight into a topic and learn the fundamentals.
4.8

33 reviews

Beginner level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.8

33 reviews

Beginner level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Explain the principles of Open Data, Open Finance, and Smart Data, and how they shape modern financial ecosystems

  • Evaluate how AI powers real-time, intelligent financial services and the ethical and regulatory risks involved

  • Design inclusive, data-driven financial systems using platform infrastructure and responsible innovation practices

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Assessments

4 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the AI in Financial Services: Foundations through future trends Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 5 modules in this course

Financial services are changing, from how they’re designed to how they’re delivered. Increasingly, the tools we use to bank, borrow, save, and invest are powered by artificial intelligence, delivered through platforms, and built on open data infrastructure. But what happens when finance becomes invisible? When decisions are automated? When users don’t realise they’re engaging with a financial product?

This course explores the rise of intelligent, data-driven finance and how to design systems that are not only efficient but also ethical and inclusive. You’ll learn how Open Data and Open Finance enable cross-sector innovation, and how AI transforms static products into real-time, personalised services. You’ll explore embedded finance models and platform architectures, and examine real-world case studies from global leaders like the UK, India, and Brazil. Along the way, you’ll investigate risks, from consent fragmentation and data inequality to black-box decision-making and regulatory blind spots. Through hands-on activities and a final design project, you’ll apply your learning to propose responsible, user-centred innovations for the future of finance. By the end of the course, you will be able to: • Define the principles and evolution of Open Data and its relationship to Open Banking and Open Finance. • Analyse the key technical, legal, and ethical components that support intelligent, data-driven financial ecosystems. • Evaluate how AI and blended data sources can improve personalisation, credit access, and service delivery. • Interpret global Smart Data initiatives and policy frameworks in countries like the UK, India, Brazil, and Australia. • Identify risks and governance challenges associated with AI, privacy, consent, and data inequality in finance. • Design responsible, inclusive data-sharing strategies that align with transparency, fairness, and innovation goals. This is the third course in the 'AI in Financial Services: Foundations through Future Trends' specialization. We recommend completing 'AI Fundamentals in Financial Services' and 'Designing the Future of Finance' courses first for a strong foundation before exploring open data and intelligent finance.

This course examines how Open Data, platform ecosystems, and AI are reshaping financial services. You will explore how intelligent systems use open infrastructure to deliver more personalised, embedded, and data-driven experiences. Through global case studies and critical reflection, you will build the tools to engage with the future of ethical and intelligent finance.

What's included

6 videos15 readings1 assignment9 plugins

6 videosTotal 8 minutes
  • Welcome from Professor Pinar Ozcan2 minutes
  • Open Data as public infrastructure2 minutes
  • Example: Amira’s smart dashboard 1 minute
  • Australia CDR 2 minutes
  • Illustration: blended data and the power of financial visibility1 minute
  • Designing consent for smart data systems2 minutes
15 readingsTotal 131 minutes
  • Your learning journey 10 minutes
  • Before you begin: reflect on your learning goals 10 minutes
  • Important note about course communication1 minute
  • Open Data in the digital economy 10 minutes
  • Why Open Finance is a launchpad 10 minutes
  • Sector convergence and the rise of smart data ecosystems 5 minutes
  • From Open Finance to Open Data: the strategic shift 10 minutes
  • Introduction: the state as a data platform 10 minutes
  • Government as enabler: trust, standards, and equity 10 minutes
  • Introduction: more data, better decisions 5 minutes
  • Why blended data matters for inclusion 10 minutes
  • Introduction: balancing promise and risk 10 minutes
  • Privacy, consent, and control 10 minutes
  • Data inequality and the risk of exclusion 10 minutes
  • Key insights and personal reflections 10 minutes
1 assignmentTotal 20 minutes
  • Module quiz20 minutes
9 pluginsTotal 140 minutes
  • Introduction to Open Data 15 minutes
  • Open Data Principles 10 minutes
  • What Open Finance built 10 minutes
  • Why interoperability is the next frontier 15 minutes
  • Case Studies: Smart Data UK & IndiaStack 30 minutes
  • The role of Open Government Data 15 minutes
  • Blended data use cases across finance and beyond15 minutes
  • Policy objectives: What Open Data in finance can achieve 15 minutes
  • Blended data, fragmented responsibility 15 minutes

This module explores how AI and real-time data are transforming traditional financial services into intelligent, personalised, and adaptive systems. From budgeting tools that adjust to income shifts to AI-powered lending platforms that assess risk in milliseconds, you'll examine how smart technologies are reshaping credit, savings, and investment. You’ll also learn to critically assess the design, benefits, and risks of these systems, including the role of automation, personalisation, and decision speed in building financial resilience or exclusion.

What's included

1 video5 readings1 assignment4 plugins

1 videoTotal 2 minutes
  • Introduction: cheaper, better, faster 2 minutes
5 readingsTotal 60 minutes
  • How AI enables intelligence 10 minutes
  • Risks and design challenges 10 minutes
  • Use case: instant credit and loan approvals 10 minutes
  • Infrastructure and data challenges 10 minutes
  • Key insights and personal reflections 20 minutes
1 assignmentTotal 20 minutes
  • Module quiz20 minutes
4 pluginsTotal 60 minutes
  • What makes a financial service ‘intelligent’?15 minutes
  • From one-size-fits-all to hyper-personalisation 10 minutes
  • The need for speed 15 minutes
  • Use cases: Risk modeling and dynamic pricing20 minutes

Finance is no longer limited to banks or dedicated apps, it’s becoming embedded into the digital platforms we use every day. This module unpacks how financial services are delivered through platforms, super apps, and modular ecosystems using open APIs and real-time data. You'll explore how payments, lending, and insurance are becoming invisible, and the new roles of infrastructure providers, BaaS partners, and API aggregators. The module also surfaces the regulatory, ethical, and competitive risks as financial access becomes platform-mediated.

What's included

3 videos8 readings1 assignment5 plugins

3 videosTotal 6 minutes
  • How Open Finance enabled Embedded Finance1 minute
  • What happens when you tap 'Pay Later'1 minute
  • The hidden risks of invisible finance3 minutes
8 readingsTotal 90 minutes
  • From Open Finance to Embedded Finance 15 minutes
  • Why Embedded Finance matters 15 minutes
  • API Aggregators: stitching the ecosystem together 10 minutes
  • Where the gaps are 10 minutes
  • Who’s responsible? 10 minutes
  • Emerging regulatory responses 10 minutes
  • Market power and the platform risk 10 minutes
  • Key insights and personal reflections 10 minutes
1 assignmentTotal 20 minutes
  • Module quiz20 minutes
5 pluginsTotal 85 minutes
  • Overview and definitions 20 minutes
  • How platforms power the future of finance 20 minutes
  • Banking-as-a-Service (BaaS) 15 minutes
  • Super apps: the new financial gatekeepers? 15 minutes
  • Consumer risk in invisible finance 15 minutes

AI-driven finance has the power to expand inclusion, or deepen inequality. This module focuses on the human impact of intelligent financial systems, exploring case studies where design intent shaped user outcomes. You'll examine how incentives, algorithms, and interface design can empower or exploit users. By comparing inclusive innovations with harmful missteps, you’ll learn how to design for fairness, transparency, and long-term wellbeing. The module also introduces practical governance tools and ethical design strategies to guide responsible financial innovation.

What's included

2 videos3 readings1 assignment3 plugins

2 videosTotal 4 minutes
  • The impact of disruption 2 minutes
  • Why intent matters2 minutes
3 readingsTotal 40 minutes
  • What makes AI in Finance so disruptive? 10 minutes
  • Beyond rules, toward responsibility 15 minutes
  • Key insights and personal reflections15 minutes
1 assignmentTotal 20 minutes
  • Module quiz20 minutes
3 pluginsTotal 65 minutes
  • Case studies: Rise and Robinhood30 minutes
  • Design as leverage point 20 minutes
  • AI guardrails and their purpose 15 minutes

In the final module, you’ll consolidate your learning and apply key concepts in a capstone assessment. You’ll revisit your reflections, explore the real-world implications of AI and data-driven finance, and design a fictional but plausible intelligent financial product. This final project invites you to connect data, design, and impact, demonstrating how Open Data, AI, and embedded delivery can be aligned with ethical, inclusive, and transparent financial innovation.

What's included

1 video4 readings1 peer review

1 videoTotal 2 minutes
  • Final thoughts 2 minutes
4 readingsTotal 55 minutes
  • Course summary and reflection 15 minutes
  • Bibliography and further reading10 minutes
  • Written assignment information20 minutes
  • Next steps10 minutes
1 peer reviewTotal 120 minutes
  • Written assignment submission120 minutes

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Instructor

Instructor ratings
4.8 (8 ratings)
Saïd Business School, University of Oxford
2 Courses2,920 learners

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Reviewed on Jun 22, 2025

Good conclusion with well designed written content and knowledge checks.

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