BachelorFaculty of Digital Business and Innovation

Future Financial Technologies (FinTech)

Welcome to the dynamic world of financial innovation. I am Prof. Dr. Yoon-woo Song. As a specialist in the innovations disrupting traditional banking and the future of digital finance, I am dedicated to empowering the next generation of financial leaders in the Future Financial Technologies (FinTech) (Bachelor's) program at Nexier University.

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Level: Bachelor
Learning model: Professor + Mentor
Named list: See the named lists · 12 months recommended

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The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Future Financial Technologies (FinTech), Digital Payments, Peer-to-Peer Lending, Robo-Advisors, Role of AI and Big Data in Financial Services.

Practical focus

Digital Payments, Peer-to-Peer Lending, Robo-Advisors, Role of AI and Big Data in Financial Services, Financial Product Innovation, Market Viability.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

FinTech Product Manager for a financial institution or startup
Digital Payments Specialist for a technology company
Robo-Advisor Developer for a wealth management firm
Financial Analyst for a FinTech company

Career opportunities

FinTech Analyst for a financial institution or startup
Digital Payments Specialist for a technology company
Robo-Advisor Developer for a wealth management firm
Data Scientist for a FinTech company

Jobs and projects

Advanced analytical and problem-solving skills for financial challenges
Strategic thinking and design for FinTech solutions
Effective communication and presentation of complex financial concepts

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- Mastering the practical application of digital payments, peer-to-peer lending, and robo-advisors.
- Gaining expertise in the role of AI and big data in financial services.
- Developing a deep understanding of financial product innovation and market viability.
- Cultivating a commitment to building a more intelligent and inclusive financial system.
Skills you build
- Mastering the principles of FinTech and its impact on traditional banking. Gaining expertise in digital payments, peer-to-peer lending, and robo-advisors. Developing strategic thinking for leveraging AI and big data in financial services. Cultivating an interdisciplinary approach, integrating technology, finance, and economics.

Listed courses

Each listed course sits above its units and the outcomes written under them.

Future Financial Technologies (FinTech)

01Introduction to FinTech
1. FoundationsFoundations of Introduction to FinTech
  The learner can master the practical application of digital payments, peer-to-peer lending, and robo-advisors, as applied to Introduction to FinTech.
  The learner can gain expertise in the role of AI and big data in financial services, as applied to Introduction to FinTech.
2. MethodsMethods in Introduction to FinTech
  The learner can develop a deep understanding of financial product innovation and market viability, as applied to Introduction to FinTech.
  The learner can cultivating a commitment to building a more intelligent and inclusive financial system, as applied to Introduction to FinTech.
3. ApplicationApplication of Introduction to FinTech
  The learner can master the principles of FinTech and its impact on traditional banking, as applied to Introduction to FinTech.
  The learner can gain expertise in digital payments, peer-to-peer lending, and robo-advisors, as applied to Introduction to FinTech.
02Digital Payments & Blockchain in Finance
1. FoundationsFoundations of Digital Payments & Blockchain in Finance
  The learner can develop strategic thinking for leveraging AI and big data in financial services, as applied to Digital Payments & Blockchain in Finance.
  The learner can cultivating an interdisciplinary approach, integrating technology, finance, and economics, as applied to Digital Payments & Blockchain in Finance.
2. MethodsMethods in Digital Payments & Blockchain in Finance
  The learner can apply a method from Digital Payments & Blockchain in Finance to a documented case.
  The learner can select an appropriate method from Digital Payments & Blockchain in Finance for a stated problem.
3. ApplicationApplication of Digital Payments & Blockchain in Finance
  The learner can evaluate a practice of Digital Payments & Blockchain in Finance against a stated criterion.
  The learner can transfer Digital Payments & Blockchain in Finance to a new documented context.
03Robo-Advisors & Wealth Management
1. FoundationsFoundations of Robo-Advisors & Wealth Management
  The learner can explain the core terms of Robo-Advisors & Wealth Management.
  The learner can distinguish related ideas inside Robo-Advisors & Wealth Management.
2. MethodsMethods in Robo-Advisors & Wealth Management
  The learner can apply a method from Robo-Advisors & Wealth Management to a documented case.
  The learner can select an appropriate method from Robo-Advisors & Wealth Management for a stated problem.
3. ApplicationApplication of Robo-Advisors & Wealth Management
  The learner can evaluate a practice of Robo-Advisors & Wealth Management against a stated criterion.
  The learner can transfer Robo-Advisors & Wealth Management to a new documented context.
04AI & Big Data in Financial Services
1. FoundationsFoundations of AI & Big Data in Financial Services
  The learner can explain the core terms of AI & Big Data in Financial Services.
  The learner can distinguish related ideas inside AI & Big Data in Financial Services.
2. MethodsMethods in AI & Big Data in Financial Services
  The learner can apply a method from AI & Big Data in Financial Services to a documented case.
  The learner can select an appropriate method from AI & Big Data in Financial Services for a stated problem.
3. ApplicationApplication of AI & Big Data in Financial Services
  The learner can evaluate a practice of AI & Big Data in Financial Services against a stated criterion.
  The learner can transfer AI & Big Data in Financial Services to a new documented context.
05Financial Innovation & Disruption
1. FoundationsFoundations of Financial Innovation & Disruption
  The learner can explain the core terms of Financial Innovation & Disruption.
  The learner can distinguish related ideas inside Financial Innovation & Disruption.
2. MethodsMethods in Financial Innovation & Disruption
  The learner can apply a method from Financial Innovation & Disruption to a documented case.
  The learner can select an appropriate method from Financial Innovation & Disruption for a stated problem.
3. ApplicationApplication of Financial Innovation & Disruption
  The learner can evaluate a practice of Financial Innovation & Disruption against a stated criterion.
  The learner can transfer Financial Innovation & Disruption to a new documented context.
06Digital Payments Systems
1. FoundationsFoundations of Digital Payments Systems
  The learner can explain the core terms of Digital Payments Systems.
  The learner can distinguish related ideas inside Digital Payments Systems.
2. MethodsMethods in Digital Payments Systems
  The learner can apply a method from Digital Payments Systems to a documented case.
  The learner can select an appropriate method from Digital Payments Systems for a stated problem.
3. ApplicationApplication of Digital Payments Systems
  The learner can evaluate a practice of Digital Payments Systems against a stated criterion.
  The learner can transfer Digital Payments Systems to a new documented context.
07Peer-to-Peer Lending Platforms
1. FoundationsFoundations of Peer-to-Peer Lending Platforms
  The learner can explain the core terms of Peer-to-Peer Lending Platforms.
  The learner can distinguish related ideas inside Peer-to-Peer Lending Platforms.
2. MethodsMethods in Peer-to-Peer Lending Platforms
  The learner can apply a method from Peer-to-Peer Lending Platforms to a documented case.
  The learner can select an appropriate method from Peer-to-Peer Lending Platforms for a stated problem.
3. ApplicationApplication of Peer-to-Peer Lending Platforms
  The learner can evaluate a practice of Peer-to-Peer Lending Platforms against a stated criterion.
  The learner can transfer Peer-to-Peer Lending Platforms to a new documented context.
08Robo-Advisors and Wealth Management
1. FoundationsFoundations of Robo-Advisors and Wealth Management
  The learner can explain the core terms of Robo-Advisors and Wealth Management.
  The learner can distinguish related ideas inside Robo-Advisors and Wealth Management.
2. MethodsMethods in Robo-Advisors and Wealth Management
  The learner can apply a method from Robo-Advisors and Wealth Management to a documented case.
  The learner can select an appropriate method from Robo-Advisors and Wealth Management for a stated problem.
3. ApplicationApplication of Robo-Advisors and Wealth Management
  The learner can evaluate a practice of Robo-Advisors and Wealth Management against a stated criterion.
  The learner can transfer Robo-Advisors and Wealth Management to a new documented context.
09AI and Big Data in Finance
1. FoundationsFoundations of AI and Big Data in Finance
  The learner can explain the core terms of AI and Big Data in Finance.
  The learner can distinguish related ideas inside AI and Big Data in Finance.
2. MethodsMethods in AI and Big Data in Finance
  The learner can apply a method from AI and Big Data in Finance to a documented case.
  The learner can select an appropriate method from AI and Big Data in Finance for a stated problem.
3. ApplicationApplication of AI and Big Data in Finance
  The learner can evaluate a practice of AI and Big Data in Finance against a stated criterion.
  The learner can transfer AI and Big Data in Finance to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My academic focus is on the strategic application of technology to reshape the financial landscape. I delve into the complexities of digital payments, the intricacies of peer-to-peer lending, and the transformative power of robo-advisors. My work seamlessly integrates AI, big data, and financial principles to create a holistic understanding of how FinTech can drive efficiency, inclusion, and innovation in financial services. My thought leadership is evident through my regular insightful articles on the innovations disrupting traditional banking and the future of digital finance on his LinkedIn profile, with the motto "Architecting the Future of Money."

Applied mentorship

My expertise lies in the practical application of technology to reshape financial services. I specialize in digital payments, peer-to-peer lending, and robo-advisors. I have a deep understanding of the role of AI and big data in financial services, and I am committed to helping my students to design and implement FinTech solutions that are not only efficient but also effective and ethical. My work is dedicated to helping my students to understand not just the theory, but also the practice of financial innovation.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research is focused on the strategic application of technology in finance:

Book: "The Algorithmic Bank: Future Financial Technologies (FinTech)." This book provides a foundational understanding of Future Financial Technologies (FinTech). It covers digital payments, peer-to-peer lending, robo-advisors, and the role of AI and big data in financial services.

Peer-Reviewed Journal Article: "AI-Powered Robo-Advisors for Personalized Wealth Management." (Journal of Digital Finance) This article presents groundbreaking research on the development and efficacy of AI-powered robo-advisors for personalized wealth management. It details novel machine learning algorithms that analyze individual financial goals, risk tolerance, and market conditions to provide automated investment advice.

Article: "AI for Fraud Detection in Digital Payments: Leveraging Machine Learning for Real-Time Anomaly Identification." This article details the application of AI algorithms for real-time fraud detection in digital payment systems. It explores how machine learning models can analyze massive transaction streams, user behavior patterns, and network anomalies to identify and flag fraudulent activities.

Blog Post (Current Academic Topic): "The Rise of Embedded Finance: Seamless Financial Services in Everyday Life." This blog post academically explores the emerging trend of embedded finance, where financial services are seamlessly integrated into non-financial platforms and apps at the point of need. It discusses how APIs, AI, and big data are enabling this integration.

Blog Post (Controversial Topic): "Algorithmic Inclusions/Exclusions: If AI Decides Your Financial Future, Is It Fairness or Discrimination? The Ethical Minefield of Robo-Lending and Predictive Banking." This article provocatively discusses the highly controversial implications of AI algorithms making critical financial decisions, such as loan approvals, credit scoring, or personalized insurance premiums. It questions whether AI, despite its potential for efficiency, could inadvertently perpetuate or exacerbate existing biases.

R / 02

Mentor practice lens

My publications are focused on the practical challenges of building the future of finance:

Technical Manual: "Digital Payments Systems: Architecture, Security, and Future Trends." A practical guide to the architecture, security, and future trends of digital payment systems.

Research Paper: "Peer-to-Peer Lending Platforms: Risk Assessment and Regulatory Challenges." An analysis of the different risk assessment and regulatory challenges of peer-to-peer lending platforms.

Review Article: "Robo-Advisors and the Future of Wealth Management: A Customer Experience Perspective." An overview of the different customer experience perspectives of robo-advisors and the future of wealth management.

Adaptive capability

Professor superpower

I possess the "FinTech Innovation Scanner," a superpower that allows me to foresee and engineer the future of financial systems. When a student proposes a new FinTech solution, the GAF-powered scanner can instantly analyze market trends, regulatory frameworks, and technological feasibility. This tool identifies potential for disruption, predicts market adoption, and highlights regulatory hurdles, allowing for rapid ideation and validation of innovative financial technologies.

Adaptive capability

Mentor superpower

I provide my students with the "Financial Product Innovator." This GAF-powered tool is a virtual laboratory for the FinTech developer. When a student is brainstorming new FinTech products, the Innovator allows them to see how it will perform in the real world. It can analyze market gaps, consumer needs, and regulatory landscapes, and generate novel product concepts and assess their market viability and disruptive potential.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Prof. Dr. Yoon-woo Song

Future Financial Technologies (FinTech), Digital Payments, Peer-to-Peer Lending, Robo-Advisors, Role of AI and Big Data in Financial Services.

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AI Super Mentor

Dr. Amelia Young

Digital Payments, Peer-to-Peer Lending, Robo-Advisors, Role of AI and Big Data in Financial Services, Financial Product Innovation, Market Viability.

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Same faculty and level

Related programs

Named lists

Named lists for this house

Core. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor This programme	Master	Doctorate
9 months · Fast track	15000 EUR	12000 EUR	15000 EUR
12 months · Recommended	18000 EUR	15000 EUR	18000 EUR
15 months · Standard	21000 EUR	18000 EUR	21000 EUR
18 months · Flexible	24000 EUR	21000 EUR	24000 EUR
21 months · Extended	27000 EUR	24000 EUR	27000 EUR
24 months · Part-time	30000 EUR	27000 EUR	30000 EUR

These are the owner lists. Enrolment is not open. Nothing here is a sale.

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Future Financial Technologies (FinTech)

Academic focus

Practical focus

FinTech Product Manager for a financial institution or startup

Digital Payments Specialist for a technology company

Robo-Advisor Developer for a wealth management firm

Financial Analyst for a FinTech company

FinTech Analyst for a financial institution or startup

Digital Payments Specialist for a technology company

Robo-Advisor Developer for a wealth management firm

Data Scientist for a FinTech company

Advanced analytical and problem-solving skills for financial challenges

Strategic thinking and design for FinTech solutions

Effective communication and presentation of complex financial concepts

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Yoon-woo Song

Dr. Amelia Young

Find the program that expands your universe.