Undergraduate Courses 2022-23

This course introduces various case studies drawn from different areas of data and information sciences to illustrate the use of data analytics as a problem-solving tool. Topics include recommendation systems, data from social media and FinTech. Each application integrates mathematical models, numerical techniques and computer implementations into a coherent perspective.

FinTech, short for financial technology, is a remarkably booming industry that aims at improving traditional financial services by applying novel technologies. In this course, students will acquire an understanding of popular financial technologies and learn how they are employed to enhance the effectiveness and efficiency of the existing financial systems. More specifically, this course will cover important financial technologies and innovations, including investment and financing technologies such as P2P lending, crowdfunding, and microloans, payment technologies such as digital wallets and mobile payments, wealth management technologies such as robo‐advisors, and blockchain technologies such as cryptocurrencies (e.g., bitcoin). For DA and RMBI students with approval of the course instructor for enrollment in the course.

This course provides an introduction to FinTech and cryptoventures. Topics include machine learning in financial analytics, Robo-advising, big data alpha models, algorithm trading and high-frequency trading, artificial intelligence, blockchain, cryptocurrencies, smart contracts, markets for smart contracts and applications of blockchain technologies in various finance areas. The class will use R to implement FinTech applications, and Solidity language to demonstrate smart contract development.