Master of Science in Business Analytics and FinTech
*Subject to University’s approval
The medium of instruction of the MSc(BAFT) Programme is Chinese (mainly Putonghua).
Programme Introduction
The Master of Science in Business Analytics and FinTech [MSc(BAFT)] programme is established in direct response to the profound transformation of the global financial services industry and business landscape, driven by digital technologies, artificial intelligence, and big data. The Programme offers two streams: Business Analytics and FinTech.
The programme is strategically designed to cultivate a new generation of strategic talents and practitioners who possess an integrated mastery of FinTech applications such as blockchain, digital payments, algorithmic trading, and Regulatory Technology (RegTech), alongside advanced business analytics capabilities like data mining, machine learning, data visualisation, and predictive modelling.
The programme is built upon the philosophy of “Data-Driven Finance and Business in the Digital Era”, ensuring that core financial principles are systematically interwoven with cutting-edge knowledge in Artificial Intelligence (AI), big data analytics, blockchain technology, and regulatory technology.
Graduates will be equipped to analyse how digital innovation reshapes financial markets, business models, and regulatory frameworks; to design and implement data-driven financial products and business strategies; and to navigate the complex ethical and regulatory challenges of the digital finance era.
Grounded in a commitment to ethical responsibility and innovative thinking, the programme prepares graduates to become leaders and informed decision-makers capable of driving sustainable and inclusive digital transformation.
General Entrance Requirements
- Applicants should normally hold a recognised Bachelor’s degree or other equivalent qualifications, preferably in disciplines related to business, finance, economics, data science, computer science, information technology, or relevant working experience in these fields.
- All applicants should submit a statement of purpose in English (no more than 1,000 words) outlining their career goals and interest in the programme.
- Applicants may be required to attend an admission interview.
Learn more: Application and Admission
Programme Aims
The aims of the programme include:
- To provide students with a robust, systematic and integrative foundation in the core theories and applications of FinTech, such as blockchain and digital payments, algorithmic trading and quantitative finance, Regulatory Technology (RegTech) and compliance analytics, alongside advanced analytical tools of business analytics and data science, including data mining, machine learning, predictive modelling, and data visualisation. This foundation enables students to critically decode and apply the logic of digital value creation and capture in complex financial and business contexts.
- To develop advanced analytical capabilities that enable students to leverage AI and data-driven techniques for financial forecasting, risk assessment, strategic decision-making, and product innovation, while critically evaluating the economic, ethical, and societal impacts of FinTech innovations.
- To foster strategic, ethical, and regulatory thinking for designing, evaluating, and implementing effective FinTech solutions and business models that address complex challenges posed by digital transformation, algorithmic bias, data privacy, financial compliance, and governance in Hong Kong, China, the Greater Bay Area, and beyond.
- To cultivate leaders and innovators who can exercise accountability and contribute significantly to the development of resilient, inclusive, and sustainable digital financial ecosystems, with a keen understanding of both the opportunities presented by AI and business analytics and the regulatory frameworks needed to harness them responsibly.
Programme Structure
The medium of instruction of this Programme is Chinese (mainly Putonghua).
The programme comprises 30 credit points (cps). Students are required to complete 30 credit points for graduation.
The programme is structured around 5 core courses (15 credit points), two distinct streams of electives (students may select one stream: Business Analytics stream with 3 stream electives, 9 credit points; or FinTech stream with 3 stream electives, 9 credit points), and 2 elective courses (6 credit points).
| Domain | No. of Courses (3 CPs for each course) |
Credit Points (CPs) |
|---|---|---|
| Core Courses | 5 | 15 |
| Stream Courses | 3 | 9 |
| Elective Courses | 2 | 6 |
| Total | 10 | 30 |
Participants normally take one year (full-time mode) to complete the programme. They need to attend classes (in the same or different semester(s)) which may be scheduled on weekday daytime/evenings, weekends and/or during long holidays at the Tai Po Campus / Tseung Kwan O Study Centre / North Point Study Centre / Kowloon Tong Satellite Study Centre and/or other locations as decided by the University.
Programme Curriculum
Core Courses
Students are required to complete all five core courses.
| Course Title | Credit Points |
|---|---|
| Foundation of FinTech and Business Analytics | 3 |
| Applied Programming with Python | 3 |
| Data Visualisation for Business | 3 |
| Database Systems and Management | 3 |
| Foundations for Data Science and AI | 3 |
Stream Courses
Students are required to opt for one stream and complete all three courses in that stream.
Stream 1: Business Analytics (select all 3 courses, 9 cps)
| Course Title | Credit Points |
|---|---|
| Predictive Modelling and Forecasting for Business | 3 |
| Social Computing and Media Data Analytics | 3 |
| Supply Chain and Logistics Analytics | 3 |
Stream 2: FinTech (select all 3 courses, 9 cps)
| Course Title | Credit Points |
|---|---|
| Algorithmic Trading and Quantitative Finance | 3 |
| Virtual Assets and Decentralised Finance | 3 |
| Wealth Management in FinTech | 3 |
Elective Courses (select 2 courses, 6 cps)
Students opting for Stream 1 Business Analytics may select 2 courses as Electives from the following.
| Course Title | Credit Points |
|---|---|
| Algorithmic Trading and Quantitative Finance | 3 |
| Virtual Assets and Decentralised Finance | 3 |
| Wealth Management in FinTech | 3 |
| AI-Driven Data Mining and Econometrics# | 3 |
| Research Project* | 3 |
Students opting for Stream 2 FinTech may select 2 courses as Electives from the following.
| Course Title | Credit Points |
|---|---|
| Predictive Modelling and Forecasting for Business | 3 |
| Social Computing and Media Data Analytics | 3 |
| Supply Chain and Logistics Analytics | 3 |
| AI-Driven Data Mining and Econometrics# | 3 |
| Research Project* | 3 |
[#Notes] This course will be offered by the Master of Science in Digital Economy Programme (MSc(DE)) of the Academy for Applied Policy Studies and Education Futures (AAPSEF).
[*Notes] The Research Project spans the entire one-year full-time programme. Students who wish to undertake a research project are requested to seek a preliminary evaluation from the Programme Teaching Team or their proposed supervisor(s) before commencing the project.
Any aspect of the courses and course offerings (including, without limitation, the contents of the course and the manner in which the course is taught) may be subject to change at any time at the sole discretion of the University if necessary. Without limiting the generality of the University’s discretion to revise the courses and course offerings, it is envisaged that changes may be required due to factors including staffing, enrolment levels, logistical arrangements, curriculum changes, and other factors caused by change of circumstances. Tuition fees, once paid, are non-refundable.
Tuition Fee
The programme is offered on a self-financed basis. The total tuition fee for the whole programme is HK$231,000, applicable to the 2027/28 cohort.
Disclaimer and Important Notes for Students from Chinese Mainland on Overseas Credential Evaluation (國(境)外學歷學位認證)
The University is committed to uphold the educational quality and standard of the programmes it offers. The University, being funded by the University Grants Committee (UGC), is one of the nine self-accrediting institutions in Hong Kong. In addition, the quality of the educational experience in all programmes offered by the UGC-funded universities is subject to the quality assurance process administered by the Quality Assurance Council of the UGC.
Every effort has been made to ensure the accuracy of the information contained in this website. Changes to any aspects of the programmes may be made from time to time as due to change of circumstances and the University reserves the right to revise any information contained in this website as it deems fit without prior notice. The University accepts no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
- Students who have fulfilled the programme requirements will be conferred the degree upon the approval of the University's Academic Board. The University bears no responsibility for the evaluation of its degrees outside of Hong Kong. Students are advised to consult with the relevant authority(ies) for the prevailing rules/regulations.
- Individuals who would seek qualification certification in Chinese Mainland after graduation should contact the Chinese Service Centre for Scholarly Exchange (CSCSE) 中國(教育部) 留學服務中心 (https://www.cscse.edu.cn) for updated details.
- The certification in Chinese Mainland is an independent process from the conferral of academic qualification in Hong Kong by the University. For the avoidance of doubt, no warranties are given in respect of individual graduate's qualification certification or recognition in Chinese Mainland or any other professional qualification or license outside Hong Kong.
- CSCSE takes a very prudent approach in evaluating each application, including the students' residential period in Hong Kong during the entire study period. When evaluating graduates' credentials, the full border entry and exit records of individual applicants will be examined.
- Students who would pursue credential recognition should be aware that short stays in Hong Kong during the study period may not fulfil the CSCSE residential requirements, leading to possible uncertainty and risks to their credential recognition.
- Students are seriously advised to consider the above when making personal plans, such as accommodation and travel plans from Hong Kong, etc. and make necessary arrangements where appropriate.
It is the responsibility of the students to be familiar with and comply with the University regulations and guidelines governing the Taught Postgraduate Programmes. Students should refer to the Graduate School website for the General Academic Regulations and the Code of Practice for Taught Postgraduate Programmes for details.
Students should consult with CSCSE if they have any enquiries.
Disclaimer
Every effort has been made to ensure the accuracy of the information contained in this website. Changes to any aspects of the programmes may be made from time to time as due to change of circumstances and the University reserves the right to revise any information contained in this website as it deems fit without prior notice. The University accepts no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Any aspect of the courses and course offerings (including, without limitation, the contents of the course and the manner in which the course is taught) may be subject to change at any time at the sole discretion of the University if necessary. Without limiting the generality of the University's discretion to revise the courses and course offerings, it is envisaged that changes may be required due to factors including staffing, enrolment levels, logistical arrangements, curriculum changes, and other factors caused by change of circumstances. Tuition fees, once paid, are non-refundable.
EdUHK, has not collaborated with any agency in Chinese Mainland or Hong Kong on admission, and does not encourage students to entrust their applications to any third-party agents and we always contact applicants directly on updates regarding the applications. You must complete and submit your own application via the EdUHK online admissions system and provide your own personal and contact details. Please refer to the official EdUHK channels, such as programme websites and the admissions system, for the required information to complete your application.
The University is committed to uphold the educational quality and standard of the programmes it offers. The University, being funded by the University Grants Committee (UGC), is one of the nine self-accrediting institutions in Hong Kong. In addition, the quality of the educational experience in all programmes offered by the UGC-funded universities is subject to the quality assurance process administered by the Quality Assurance Council of the UGC. Individuals who wish to apply for qualification certification in Chinese Mainland after graduation should contact the CSCSE (website: https://zwfw.cscse.edu.cn/cscse/lxfwzxwsfwdt2020/xlxwrz32/index.html) directly for updated details and confirmation. The certification in Chinese Mainland is an independent process from the conferral of academic qualification in Hong Kong by the University. For the avoidance of doubt, no warranties are given in respect of individual graduate’s qualification certification or recognition in Chinese Mainland or any other professional qualification or license outside Hong Kong.
In the event of inconsistency between information in English and Chinese versions or where an interpretation of the programme content is required, the decisions of the University shall be final.