Master of Science in Quantitative Finance and FinTech

Students studying for MSc award must complete:

Option 1: 6 compulsory subjects (18 credits) and 4 elective subjects (12 credits); OR

Option 2: 6 compulsory subjects (18 credits), 1 elective subject (3 credits) and a dissertation (9 credits)

Students who opted for the dissertation should have completed 6 compulsory subjects with good academic results. Normally, only students who have completed 6 compulsory subjects (18 credits) with GPA 3.0 or above at the end of Semester 2 will be considered for (Option 2).

Subject Code	Subject Name
AMA566	Advanced Topics in High Frequency Trading
AMA568	Advanced Topics in Quantitative Finance
AF5381	Financial Markets
AMA571	Financial Technology
AMA532	Investment Science
AMA535A	Mathematical Models of Derivative Pricing

(3 credits each unless specified)

Subject Code	Subject Name
AF5115	Accounting for Business Analysis
AF5365	Applications of Computing and Technology in Accounting and Finance I
AF5366	Applications of Computing and Technology in Accounting and Finance II
AF5336	Business Risk Management
AMA564	Deep Learning
AF5123	Financial Analysis and Valuation with Programming
AMA572	Fixed-income and Credit Risk
AMA515A	Forecasting and Applied Time Series Analysis
COMP5564	Machine Learning and Applications in Finance
AMA563	Principles of Data Science
AMA573	Statistical Machine Learning
AMA592	Dissertation (9 credits)

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