Core Courses
– Financial Accounting Information and Analysis (2 credit hours)
– Financial Markets and Institutions (2 credit hours)
– Asset Pricing and Management (2 credit hours)
– Corporate Finance and Risk Management (2 credit hours)
– RegTech – Regulatory Technology (2 credit hours)
– Blockchain and Cryptocurrencies (2 credit hours)

– Robotics and Financial Technology (2 credit hours)
– Mathematics and Statistical Methods for Financial Analytics (2 credit hours)
– Practical Projects, Case Studies, and M.Sc. Research Seminar (2 credit hours)
– Ethics and Governance in FinTech (2 credit hours)

Elective/Concentration Courses
Students apply 8 credit hours of specialized coursework to the M.Sc. in FinTech and Analytics degree
from the following, in consultation with their academic advisor.
– Special Topics in Financial Technology and Analytics (2 credit hours)
– Cloud Computing (2 credit hours)
– Advanced Statistical Methods for Financial Analytics (2 credit hours)
– Advanced Mathematics in Finance (2 credit hours)
– Financial Applications of Natural Language Processing (2 credit hours)
– Financial Applications of Machine Learning (2 credit hours)
– Financial Applications of Blockchain Technology (2 credit hours)
– Financial Applications of Web Technologies (2 credit hours)
– Risk Evaluation and Management (2 credit hours)
– Risk Management and Cybersecurity (2 credit hours)
– Digital Banking and Payments (2 credit hours)
– Algorithmic Trading and Robo-Advising (2 credit hours)
– Spreadsheet Modelling and Analytics (2 credit hours)