HONG KONG BAPTIST UNIVERSITY · HONG KONG
Master of Science in Finance (FinTech and Financial Analytics)
Master's · Taught in en
At a glance
12 mo
Duration
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IELTS
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Tuition / yr
en
Language
Master's
Level
This interdisciplinary Master of Science in Finance program focuses on FinTech and Financial Analytics, acknowledging the transformative impact of new technologies on traditional finance. Taught by faculty from both Finance and Information Systems departments, the program aims to deepen students' understanding of the evolving financial landscape. It equips students with knowledge in areas such as FinTech, Machine Learning, Financial Computing, Big Data, AI, Cybersecurity, Blockchain, Virtual Assets, Algorithmic Trading, Financial Fraud, and Regulatory Compliance. Graduates will be well-prepared for the growing demand in the data-driven economy and ready to advance the financial industry. The program offers a flexible structure with options for full-time study over one year or part-time study over two years. It comprises fifteen courses, requiring students to complete eight core courses (24 units) and two elective courses (6 units) from a selection of six. All courses are offered by the Department of Accountancy, Economics and Finance. To be awarded the degree, students must pass all courses and achieve a cumulative Grade Point Average (cGPA) of 2.50 or above.
Curriculum
The program requires a total of 30 units, consisting of 24 units from core courses and 6 units from elective courses.
- Core Courses (24 units)
- FinTech, Digital Transformation and Web 3.0FIN 7780
- Machine Learning for Financial Market Modelling and AnalysisFIN 7790
- Corporate FinanceFIN 7800
- Investment Management and Alternative FinanceFIN 7810
- Financial Computing with PythonFIN 7830
- Blockchain Engineering and Virtual AssetsFIN 7840
- Financial Derivatives and Risk ManagementFIN 7870
- Cybersecurity and Privacy for Financial TechnologyFIN 7900
- Elective Courses (6 units - choose two)
- Applied Financial EconometricsFIN 7820
- Algorithmic and High-Frequency TradingFIN 7850
- International Financial ManagementFIN 7860
- Data-Driven Decision with Big Data and AIFIN 7880
- Policy, Regulation, Compliance for Financial TechnologyFIN 7890
- Applied FinTech Industry ProjectFIN 7911
- Applied FinTech Industry ProjectFIN 7912
- Smart Contract Engineering and Auditing in FinTechFIN 7960
Frequently asked questions
- What is the duration of the Master of Science in Finance program?
- The program can be studied full-time over one year or part-time over two years.
- What is the total credit requirement for the program?
- You need to complete 30 units in total, comprising 24 units from core courses and 6 units from elective courses.
- What are the core areas covered in the program?
- The program covers FinTech, Machine Learning, Financial Computing, Big Data, AI, Cybersecurity, Blockchain, Virtual Assets, Algorithmic Trading, Financial Fraud, and Regulatory Compliance.
- What is the minimum GPA required to graduate?
- To be awarded the degree, students must achieve a cumulative Grade Point Average (cGPA) of 2.50 or above.
- Where can I find information on tuition fees and living costs?
- Details on tuition fees and living costs for postgraduate programs are not available in the provided documents; please refer to the university's admissions website.
- What career opportunities are available for graduates?
- Graduates will be well-prepared for roles in the data-driven economy and can advance the financial industry.
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Fees
Tuition (international)Tuition fee amounts for this program are not specified in the provided documents.
Tuition (home)Tuition fee amounts for this program are not specified in the provided documents.
LivingEstimated living costs are not provided.
Details on tuition fees and living costs for postgraduate programs are not available on the provided 'Fees and Charges' page, which focuses on undergraduate studies.
Scholarships
Admission ScholarshipsVaries
Frequently asked questions
What is the duration of the Master of Science in Finance program?
+
The program can be studied full-time over one year or part-time over two years.
What is the total credit requirement for the program?
+
You need to complete 30 units in total, comprising 24 units from core courses and 6 units from elective courses.
What are the core areas covered in the program?
+
The program covers FinTech, Machine Learning, Financial Computing, Big Data, AI, Cybersecurity, Blockchain, Virtual Assets, Algorithmic Trading, Financial Fraud, and Regulatory Compliance.
What is the minimum GPA required to graduate?
+
To be awarded the degree, students must achieve a cumulative Grade Point Average (cGPA) of 2.50 or above.
Where can I find information on tuition fees and living costs?
+
Details on tuition fees and living costs for postgraduate programs are not available in the provided documents; please refer to the university's admissions website.
What career opportunities are available for graduates?
+
Graduates will be well-prepared for roles in the data-driven economy and can advance the financial industry.