Master of Science in Finance (FinTech and Financial Analytics)

Programme Director: Ms LEUNG, Connie

With the rise of disruptive technologies and the new generation of Big Data and FinTech, concepts of money, payments, identity, and security need to be looked at through a new lens. This inter-disciplinary programme taught by both Finance and Management Information Systems faculty, will widen and deepen students’ understanding of the rapidly changing landscape and the impact of new technologies on traditional finance models. Students will be empowered with knowledge in Finance, FinTech, Financial Analytics, Machine Learning, Financial Computing, Textual Analysis, Cybersecurity, Privacy, Blockchain, Cryptocurrency, Algorithmic Trading, Financial Fraud, and Regulatory Compliance. They will be well-prepared for the fast-growing demand of today’s data-driven economy, and will be able to take the Financial Industry to the next level.

This programme provides flexibility with the options of completing the programme in one-year full-time mode or two-year part-time mode. It offers fourteen courses that provide both in-depth knowledge and broad perspectives of the applications of FinTech and Financial Analytical tools to enable students to meet the continuing challenges in the rapidly transforming financial world. Students are required to complete eight core courses (24 units) and two elective courses (6 units) out of six electives for graduation. All courses are offered by the Department of Finance and Decision Sciences.

All courses in the programme carry equal weight. Students must pass all courses and achieve an overall cGPA of 2.50 or above in order to be awarded the Master of Science in Finance (FinTech and Financial Analytics).

The structure of the curriculum is as follows:

I)	Required Courses	24 units
II)	Elective Courses	6 units
		30 units

Requirements

I.	Required Courses	24 units
	FIN 7780 Financial Technology (FinTech)	3 units
	FIN 7790 Machine Learning for Financial Data	3 units
	FIN 7800 Corporate Finance	3 units
	FIN 7810 Investment Management	3 units
	FIN 7830 Financial Computing with Python and R	3 units
	FIN 7840 Blockchain and Cryptocurrency	3 units
	FIN 7870 Financial Derivatives and Risk Management	3 units
	FIN 7900 Cybersecurity, Privacy and Regtech for Finance	3 units

II.	Elective Courses	6 units
	Two of the following courses:
	FIN 7820 Applied Financial Econometrics	3 units
	FIN 7850 Algorithmic and High-Frequency Trading	3 units
	FIN 7860 International Financial Management	3 units
	FIN 7880 Textual Analysis in Finance and Accounting	3 units
	FIN 7890 Compliance in Finance	3 units
	FIN 7910 Independent Studies/Integrative Project^*	3 units
		30 units

* The Independent Studies/Integrated Project can only be selected to replace an elective course under special circumstances and advance approval is required.