FIN 606 – FinTech

General Information

This course covers recent technological innovations and the emergence of new players in the financial services industry that both fall under the umbrella term of FinTech. A special focus will be on blockchains and other relevant technologies and their application to decentralized finance, cryptocurrencies, and smart contracts. Other introduced innovations include alternative payment systems, crowd finance, InsurTech, and robo advising, while also presenting associated risks and regulatory approaches.

Learning Outcomes

After the completion of this course, students will have gained a thorough understanding of the FinTech industry. They will be able to describe its underlying technologies, analyze the industry’s recent developments, recognize associated risks, and explain its impact on the more traditional financial services industry.

Further Information

  • Course Outline

    This is just a preliminary outline. A detailed syllabus will be provided at the beginning of the course.

    1. What even is FinTech?
    2. The Tech in FinTech
    3. Payments, Banking, and Investing
    4. Blockchains and Cryptocurrencies
    5. Crowd Finance and Social Trading
    6. InsurTech
    7. RegTech and Regulating FinTech (if time permits)

    You will find the lecture slides and additional material on Ilias.

  • Time & Venue

    In the fall semester 2023, the course takes place every Tuesday from 8:30am to 10:00am in M003.

    The first lecture is on September 5th. Due to a public holiday, there will be no lecture on October 3rd.

  • Language

    The course is taught in English. All materials and the exam will be in English.

  • Assessment

    There will be a final written exam that makes up 100% of the final grade.

  • Requirements

    The course generally assumes some basic knowledge of finance (e.g., present value methods, portfolio theory, equilibrium models, derivatives, trading, banking), mathematics (analysis, optimization) and statistics (e.g., mean, variance, correlation, and multivariate regression).


Dr. Stefan Scharnowski

Dr. Stefan Scharnowski

University of Mannheim
Business School
L 9, 1–2 – Room 201
68161 Mannheim
Consultation hour(s):
by appointment