Program Schedule

Full-time Sample Schedule (One-year)

Sep – Dec 2019 Fall Term

Core Courses (8 courses, 16 credits)

•    AI for FinTech (2 credits)
•    Blockchain (2 credits)
•    Corporate Finance (2 credits)
•    Data Analysis (2 credits)
•    Financial Data Mining (2 credits)
•    FinTech Regulations and Compliance (2 credits)
•    Foundations of FinTech (2 credits)
•    Investment Analysis (2 credits)

Feb – May 2020 Spring Term

Electives* (a selection of 14 credits)


School of Business and Management

•    Cryptocurrency, Blockchain, and Their Business Applications (2 credits)
•    Economics of Financial Technology (2 credits)
•    Entrepreneurship and Innovation in FinTech (2 credits)
•    FinTech: Algorithmic Trading (2 credits)
•    Statistics for Financial Analysis (2 credits)
•    FinTech and Big Data Financial Analytics (2 credits)


School of Engineering

•    Decision Analytics for FinTech (3 credits)
•    Optimization in FinTech (3 credits)
•    Technology and Analytics of Alternative Finance (3 credits)


School of Science

•    Mathematical Foundation of FinTech (2 credits)#
•    Statistical Machine Learning (3 credits)
•    Statistical Methods in Finance (3 credits)

 

Part-time Sample Schedule (Two-year)

 

Sep – May Year 1: Fall, Winter & Spring 2019/20

Core Courses (8 courses, 16 credits)

Sep – May Year 2: Fall, Winter & Spring 2020/21

Electives* (a selection of 14 credits)

* The electives offered in a particular year will be announced at the beginning of each academic year. Students have to take at least one elective course from each of School of Business and Management, Engineering and Science. The offering of elective courses is subject to availability.
# Subject to the decision of the Program Director, promising students who do not have a strong mathematics background may be required to take this elective.