Course Catalogue

The course covers emerging and important themes at the intersection of technology and finance, with an emphasis on the economics and socioeconomic implications of AI, digitization, and FinTech. The course will first cover a brief discussion of digital platforms and fintech lending. It moves on introducing robo-advising and will then address recent developments entailing cryptocurrencies, and blockchain forensics. The course next highlights the distinguishing features of financial big data and the need to tailor machine learning models to financial applications, ending with illustrations of how interpretable AI holds promises to advance both research and practice by helping answer key questions in asset pricing and corporate finance.
Upon successful completion of the course, students should understand the most important economic mechanisms of digital platforms, decentralized finance, the usage of big data and AI tools in finance. They will acquire the necessary analytical tools to understand the current regulatory debate about fintech and banking reforms as well as the discussions on digital currency and AI applications in finance. The course will equip the students with the necessary tools to understand the importance of FinTech data, understand the current state FinTech, and be able to successfully work in FinTech firms.
Students are expected to be familiar with basic programming in Python, familiarity with basic models and concepts in finance is a plus