P94
MSc Fintech and Digital Assets
理學碩士(金融科技與數字資產)
Year of Entry
2027Application Deadline
20260915T020000Z20261231T155900Z
Programme Aims and Objectives
Programme Highlights
Entrance Requirements
Programme Content
Useful Links
The Master of Science in FinTech and Digital Assets is a cross-disciplinary, professionally oriented programme that responds to the rapid digital transformation of finance markets and services in Hong Kong, the Greater Bay Area, Chinese Mainland and beyond. The programme aims to cultivate graduates who can operate at the intersection of finance, technology and regulation, with emphasis on financial technologies, digital assets and data-driven financial decision-making. By integrating FinTech foundations with systematic understanding of digital-asset developments, the programme prepares students to engage with emerging forms of financial innovation and technology-enabled market structures.
More specifically, the programme aims to:
1. Equip students with a solid quantitative and data-analytic foundation in statistics, regression analysis and data mining, enabling them to understand and apply empirical methods commonly used in FinTech and digital-asset markets.
2. Develop students’ understanding of digital-asset ecosystems, including stablecoins, tokenised real-world assets, decentralised finance (DeFi) protocols and smart-contract platforms, and their implications for financial intermediation, market structure and regulation.
3. Provide an integrated perspective on macroeconomics and digital assets, helping students analyse how monetary policy, macro-financial conditions and regulatory developments shape the evolution of digital-asset markets.
4. Cultivate the ability to apply AI, cloud computing and digital technologies to financial applications such as quantitative investment, sustainable finance and digital marketing in financial services.
5. Prepare students for FinTech-related careers in banks, securities firms, asset-management institutions, technology companies, start-ups and regulatory bodies, particularly in roles involving digital-asset innovation, quantitative analysis and technology-enabled financial services.
Financial Innovation Entering a New Phase
Financial institutions increasingly require professionals who can operate at the intersection of finance, technology and market application, particularly in contexts where cross-border financial activities between Hong Kong and Chinese Mainland continue to expand. The programme is designed in response to this evolving landscape, providing interdisciplinary training aligned with the structural evolution of technology-enabled financial markets.
International Rankings
The College of Business is ranked 36th worldwide and 5th in Asia in the latest UT Dallas Rankings, based on our research contributions from 2021-2025 in 24 leading journals in major business disciplines.
The College of Business is ranked 52nd worldwide and 14th in Asia in Accounting & Finance by Quacquarelli Symonds (QS).
The FinTech and Digital Assets Center (FDAC)
The FinTech and Digital Assets Centre (FDAC) is a research centre of the College of Business at City University of Hong Kong. FDAC serves as a platform for interdisciplinary research, education, industry engagement, and knowledge exchange. The Centre supports education and training that prepares students, professionals, and industry participants for the changing needs of digital finance.
Admissions to the programme will follow the University’s General Entrance Requirements for taught postgraduate programmes. In addition, applicants to this programme are expected to meet the following programme specific requirements:
English Proficiency Requirements:
Applicants whose entrance qualification is obtained from an institution where the medium of instruction is NOT English should also fulfill the following minimum English proficiency requirement:
@TOEFL and IELTS scores are considered valid for two years. Applicants are required to provide their English test results obtained within the two years preceding the start of the University's application period. 'TOEFL iBT Home Edition', ‘TOEFL MyBest Score’, ‘IELTS Indicator’, ‘IELTS One Skill Retake’ and ‘IELTS Online’ are not acceptable. All TOEFL results must be sent directly by the Educational Testing Service (ETS) using CityUHK’s institution code 3401, while IELTS results must be sent via the IELTS Results Service e-delivery to 'City University of Hong Kong - Graduate School'.
#Applicants with an IELTS overall band score of 6.0 or a TOEFL overall score of 4 will be required to pass an interview for English proficiency conducted by the concerned academic unit. Applicants with a comparable overall score of 79 or above shown on the TOEFL report may be exempt from the interview requirement. Interviews for other applicants may not be required.
The Master of Science in FinTech and Digital Assets requires students to complete 30 credit units (CUs). The programme is designed as a one-year full-time degree. Each course carries 3 or 1.5 CUs. The curriculum is organised into core courses that provide foundational and integrative training, and elective courses that allow students to deepen their expertise in specific application areas.
Core courses (18 CUs) – 7 required courses that build the quantitative foundation and core FinTech/digital-asset knowledge:
FB5310 Foundations of Statistics and Probability (3 CUs)
FB5311 Blockchain and Decentralized Finance (3 CUs)
FB5312 The Economics of Generative AI (3 CUs)
FB5313 Quantitative Investment (3 CUs)
FB5315 Machine Learning and Artificial Intelligence for Finance (3 CUs)
FB5317 Blockchain Security (1.5 CUs)
FB5318 Regulation and Compliance for Decentralized Finance (1.5 CUs)
Elective courses (12 CUs) – students select from the courses below to complete the programme:
FB5314 Sustainable Finance in the Digital Age (3 CUs)
FB5320 Digital Marketing (3 CUs)
FB5325 Cloud Computing Applications for FinTech (1.5 CUs)
FB5327 Tokenization and Valuation of Cultural Assets (3 CUs)
FB5329 Latest Development of Digital Assets (1.5 CUs)
SDSC5003 Storing and Retrieving Data (3 CUs) (subject to the approval of the Programme Director and the course offering department)
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