• Introduction to FinTech and Data Analytics
  • Understanding the FinTech ecosystem
  • Basics of data analytics in finance
  • Historical overview and trends in FinTech
• Digital Banking and Payments
  • Evolution of digital banking
  • Payment systems and mobile wallets
  • Blockchain and cryptocurrencies
• Peer-to-Peer lending and Crowdfunding
  • Overview of P2P lending platforms
  • Crowdfunding models and regulations
  • Risks and benefits of alternative lending
• InsurTech and RegTech
  • Innovations in insurance technology (InsurTech)
  • Regulatory technology (RegTech) solutions
  • Compliance, risk management, and reporting
• Data Analytics for Financial Decision-Making
  • Data collection, cleaning, and pre-processing
  • Descriptive, predictive, and prescriptive analytics
  • Machine learning applications in finance
• Algorithmic Trading and Robo-Advisors
  • Algorithmic trading strategies
  • Role of AI and machine learning in trading
  • Robo-advisory platforms and their impact
• Cybersecurity and Risk Management
  • Cyber threats in FinTech
  • Security measures and best practices
  • Fraud detection and prevention
• Regulatory and Ethical Considerations
  • Regulatory challenges in FinTech
  • Ethical issues and responsible AI
  • Case studies and emerging trends
• FinTech Entrepreneurship and Case Studies
  • Entrepreneurship opportunities in FinTech
  • Guest speakers from FinTech start-ups
  • Case studies and group projects

Financial Technology and Analytics is designed to cater to a diverse group of individuals who are interested in understanding and working at the intersection of finance, technology, and data analytics. Expected participants are:

• Finance Professionals such as financial analysts, investment bankers, portfolio managers, and other finance professionals who want to stay updated on the latest FinTech trends and data analytics techniques to enhance their skills.
• Technology Enthusiasts such as software developers, engineers, and IT professionals, want to explore how technology is transforming the finance industry.
• Data Analysts and Data Scientists want to specialize in financial analytics and data-driven decision-making in the finance sector.
• Entrepreneurs in FinTech start-ups or incorporating FinTech solutions into their business models.
• Regulators and Compliance Officers who need to understand FinTech innovations and regulatory challenges.
• Undergraduate and graduate students in finance, technology, or data science programs undertaking research in FinTech and analytics.
• Banking and Insurance Professionals who wish to leverage technology and data analytics to enhance their organisations’ competitiveness.
• Financial consultants and advisors on FinTech-related strategies and investments.
• Risk management professionals seeking to incorporate data-driven risk assessment
• Audit and Compliance Professionals who need to understand the technology and data management in financial institutions.
• Entrepreneurial Finance Professionals interested in exploring alternative financing models and innovative financial solutions, Government employees responsible for formulating policies related to financial technology and data security.
• Ethical Hackers and Cybersecurity Specialists: Any Individuals with a general interest in the intersection of finance and technology, including investors and technology enthusiasts.

This course is designed to accommodate participants with various levels of expertise and backgrounds, making it suitable for those who want to gain a deep understanding of FinTech and data analytics in the financial industry.

Participants in a Financial Technology and Analytics can expect to gain a wide range of benefits, as they acquire knowledge and skills that are highly relevant in today’s rapidly evolving financial industry. Here are some key benefits that participants can expect to receive from taking this course:

1. Participants will develop a comprehensive understanding of the FinTech ecosystem, including digital banking, blockchain, cryptocurrencies, and payment systems, enabling them to stay updated with the latest trends and innovations.
2. This course equips participants with data analytics skills, allowing them to collect, process, and analyse financial data effectively to make data-driven decisions.
3. Graduates of the course will be well-prepared for careers in the FinTech industry, financial analytics, and traditional finance roles that increasingly rely on technology and data.
4. Aspiring entrepreneurs will gain insights into launching FinTech start-ups and exploring innovative financial solutions, such as crowdfunding and peer-to-peer lending.
5. Participants will learn about risk assessment and mitigation strategies, including cybersecurity measures, which are crucial in the financial industry.
6. Those in regulatory and compliance roles will have a better grasp of FinTech innovations and regulatory challenges, helping them ensure compliance and regulatory adherence.
7. The course covers ethical considerations in FinTech and data analytics, enabling participants to make responsible and ethical decisions.
8. Financial Decision-Making Skills: Participants will be equipped with the ability to use data analytics and technology to make informed financial decisions, both in personal finance and business contexts.
9. The course encourages innovative thinking and creativity in addressing financial challenges, fostering entrepreneurship and problem-solving skills.
10. Participants will have the opportunity to connect with professionals, experts, and organisations in the FinTech industry, expanding their network for potential collaborations and career opportunities.
11. The knowledge gained in the course can also be applied to personal financial management, including investment decisions and financial planning.
12. Graduates will gain a competitive edge in the job market as employers increasingly seek candidates with expertise in FinTech and data analytics.
13. Participants will be equipped with a foundation that enables them to stay updated with emerging trends and technologies in the dynamic field of FinTech.
14. Participants can contribute to the development of innovative financial solutions, helping organisations stay competitive and meet the evolving needs of customers.
15. Career Transition: Career changers can use the course as a stepping stone to enter the FinTech industry or related fields.

Overall, participants in this course will acquire a valuable skill set that empowers them to thrive in the modern financial landscape, whether they are pursuing careers in FinTech, data analytics, traditional finance, or entrepreneurial endeavours.

• Gerard, D. (2019). Financial Technology: The Evolution of FinTech, Blockchain, and Cryptocurrency. O’Reilly Media.
• Sabai, N., & Sindell, K. (2019). FinTech for Dummies. Wiley.
• Sironi, P. (2019). FinTech Innovation: From Robo-Advisors to Goal-Based Investing and Gamification. Wiley.

Journal Articles

• Block, J. H., Hornuf, L., & Moritz, A. (2020). FinTech and the Financing of Entrepreneurs: From Crowdfunding to Marketplace Lending. Entrepreneurship Theory and Practice, 44(2), 314-334.
• Haddad, V., Hornuf, L., & Schmitt, E. (2020). FinTech, Regulatory Arbitrage, and the Rise of Shadow Banks. Journal of Financial Stability, 49, 100787.
• Mohieldin, M., Sahay, R., & Zoli, E. (2019). The Role of FinTech in Financial Inclusion: A Literature Review. Journal of Economic Surveys, 33(2), 300-331.
• Rajan, R. G., & Xiong, W. (2020). FinTech Adoption and Financial Stability: Insights from Machine Learning. Review of Financial Studies, 33(12), 5501-5551.

• FinTech industry reports and publications.
• Access to financial data sets for analytics projects.
• Online resources and forums for staying updated on FinTech trends.

• Quizzes and exams assessing knowledge of FinTech concepts and data analytics.
• Group projects and presentations on FinTech innovations and business models.
• Individual or group research projects on specific FinTech topics.
• Simulation exercises in algorithmic trading or robo-advisory.