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Master of Science in Finance (FinTech and Financial Analytics)

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 -- how can finance professionals respond early and effectively to ride the wave, and take advantage of the new opportunities before it’s too late?

Through lectures, workshops, round-table discussions, case studies and expert sharing from industry practitioners, this inter-disciplinary programme taught by both Finance and Information Systems and Business Intelligence faculty, will widen and deepen your understanding of the rapidly changing landscape and the impact of new technologies on traditional finance models. You will be empowered with knowledge in

  • Finance
  • FinTech
  • Financial Analytics
  • Machine Learning
  • Financial Computing
  • Textual Analysis
  • Cybersecurity & Privacy
  • Blockchain
  • Virtual Assets
  • Algorithmic Trading
  • Financial Fraud
  • Regulatory Compliance

Get well-prepared for the fast-growing demand of today’s data-driven economy, and develop new insights and perspectives towards emerging technologies and harness them to take the Financial Industry to the next level.

Programme Characteristics

Programme Characteristics How does the programme help?

Programme Objective

The Programme aims at empowering students with knowledge in Finance, FinTech and Financial Analytics, helping them develop the ability to solve finance-related business problems, and nurturing them to better prepare for the fast-growing demand in today’s data-driven economy.

Curriculum Structure

(Subject to review)

Students are required to complete eight core courses and two elective courses for graduation. In addition, students are encouraged to participate in internships during their studies, and the program will assist in providing internship opportunities.

Students will receive a one-year complimentary membership to the Fintech Association of Hong Kong (FTAHK).

International Association of Privacy Professionals (IAPP)

Official IAPP resources (privacy aspects) from the International Association of Privacy Professionals (IAPP) will be adopted in the course “Cybersecurity, Privacy and RegTech for Finance”. Students will receive a complimentary one-year membership from IAPP, which will allow access to their online resources and member benefits. This course will also cover the fundamental privacy concepts of IAPP’s prestigious industry certifications. (IAPP)

Who Should Enrol?

The Department of Accountancy, Economics and Finance is committed to nurture more FinTech talent in Hong Kong

Looking for Change

Candidates who seek to adapt their traditional financial business to the new-age digital economy and prepare for the challenges coming out of the new data-driven economy.

Deepening Knowledge

Candidates who seek to deepen their knowledge in the disruptive innovations and transformative forces in the finance ecosystem.

Entering the New Era

Candidates who seek to enter the FinTech or Financial Analytics Industry. Candidates joining the course are expected to have some exposure to computer coding either from previous experience or taking some online courses before joining the program. 

Seeking Professional Qualification

Candidates who seek to obtain globally recognized professional qualification in FinTech industry.

Core Courses

Total required units of core courses - 24 units (*Subject to change without prior notice)

This course aims to equip students with a comprehensive and profound understanding of Financial Technology’s core principles, preparing to navigate, contribute to, and thrive in this ever-evolving domain; prepare students to delve deeply into the dynamic intersection of finance and technology, exploring the revolutionary transformations shaping the world of global finance, banking, and financial services.

In this course, students will discover the disruptive potential of FinTech and Web3.0, revealing its power to redefine a multitude of financial sectors, including payments, capital raising, remittances, consumer banking, and B2B banking. In addition, students will be introduced to a myriad of innovative financial mediums such as micro-payments via mobile apps, P2P lending platforms, integrated social media spending, and the intelligence of robo-advisors optimizing investment decisions, among others.

Real-world case studies will be a cornerstone of this course’s learning approach, enhancing students’ understanding with practical insights and illustrating the transformative impact of disruptive technologies in creating a new, improved financial ecosystem. These carefully selected cases will not only unveil the intrinsic necessity driving the evolution of the financial landscape but also elucidate the practical methodologies and technologies underpinning this transformation.

This course focuses on the application of machine learning in the financial services industry. It aims to equip students with the necessary skills and expertise to utilize machine learning algorithms and techniques in finance. The course covers the fundamentals of machine learning and explores its application in areas such as stock market forecasting, asset valuation, risk and fraud detection, portfolio management (robo-advisors), and sentiment analysis. Additionally, participants will learn about the factors and steps involved in deploying machine learning models for production use. By gaining knowledge in these areas, students will be prepared to navigate the evolving landscape of the financial services industry and harness the power of machine learning to drive innovation and create value.

This course introduces students to the concepts and techniques in making business financial decisions. The course focuses on the following issues concerning corporate financial managers. These include the decision over the means of financing (Financing Decision), the selection of investment projects (Capital Budgeting), and the making of short-term financial decisions (Current Asset Management). Such knowledge should be helpful to students to explore into other Finance subject areas such as Investments, Personal Financial Planning, Banking, Real Estates, Insurance, Derivatives, International Finance, and Risk Management. Although the corporate perspective will be adopted throughout the course, it will become apparent that the theories, concepts, and techniques are applicable to personal and public financial decision-making. Upon completion of the course, students are expected to gain an appreciation of the role of the financial discipline in the overall economic decision-making process.

This course analyses different principles in the valuation of financial assets including common, preferred stocks, bonds and virtual assets.  The development of portfolio concepts and capital market theories are introduced.  The issue of market efficiency is investigated while asset pricing models are discussed. Techniques on performance evaluation are introduced and performance of mutual funds is also examined. After completing this course, students should be able to perform sound investment and portfolio analysis.

The course is designed to provide a gentle, yet intense, introduction to programming using Python for students with little or no prior experience in programming. The course will focus on planning and organizing programs in Business and Data Analytics, as well as the grammar of the Python programming language.

In the current era of Big Data, the capabilities of a language/platform/tool to perform big data processing and generating quick insights are important to business to remain competitive in the market. This quick and dynamic insight (which changes very frequently) is valuable to the organizations. Python language is selected in this course because it is the most popular option for big data processing due to its simple usage and wide set of data processing libraries. It is also preferred for making scalable applications and can be easily integrated with web applications.

This course aims at providing a thorough understanding and hands-on experience in blockchain technology and its applications in financial industry, especially with respect to virtual assets (cryptocurrencies, NFTs) and smart contracts. This course will traverse the core concepts of blockchain protocol, encompassing an array of essential operations and practical engagements crucial for mastering blockchain technology. The course will start by unraveling the fundamental principles of blockchain protocol. Students will explore the mechanics of creating nodes on blockchain network, establishing and managing accounts, securely unlocking accounts, and delving into the mining process. In addition, this couse will decipher oracles and understanding their role in connecting the blockchain with real-world data, exploring layer 2 solutions like sidechains and state channels for scaling blockchain networks, immersing in the interaction between wallets, decentralized applications (dApps), and the blockchain.

Interactive sessions, workshops, real-world case studies, and sharing from seasoned industry practitioners will facilitate a holistic understanding of blockchain technology and virtual assets. These sessions aim to foster a deep understanding of how blockchain technology can revolutionize not just the financial industry but various other sectors, preparing participants to harness blockchain technology for practical and innovative solutions.

This course enables students to understand the fundamental concepts in derivatives and risk management and their applications. Derivatives have been used extensively in hedging, arbitrage, speculation, and the design of financial products. Executives with knowledge in derivatives can better assess the risk of a business entity. Precautions of using derivatives are also emphasised. Besides application of derivatives in risk management, other techniques in risk management are introduced. In the global environment of business, risk management is an indispensable tool for business managers. Students will be able to apply the concepts in this course to real-world situations after the completion of this course.

As the global marketplace swiftly transitions towards a digital economy, the rise of financial technology (FinTech) and conducive governmental initiatives are at the forefront. This evolution, while catalyzing easier access to financial services and enriching customer experiences, also beckons a surge in criminal targeting, given the financial system’s lucrative nature. Open platforms, despite their myriad advantages, necessitate a delicate balance between accessibility and security to mitigate the burgeoning threats. The escalating frequency and scope of cyber-attacks not only accrue financial losses but also draw heightened regulatory scrutiny, thereby exerting pressure on financial institutions to bolster their cybersecurity measures and ensure compliance.

This course is designed to equip students with a pragmatic understanding of cybersecurity and privacy within the FinTech realm. Through a blend of theoretical knowledge and real-world insights, students will delve into the pivotal security and information protection challenges enveloping the FinTech sector. Additionally, the course provides a comprehensive overview of contemporary regulations and industry compliance frameworks, including the European Union’s General Data Protection Regulation (GDPR). Students will garner an understanding of the regulatory landscape, enabling them to navigate and adhere to the stringent security and privacy mandates that govern the financial technology ecosystem. Through a blend of case studies, interactive discussions, and practical exercises, students will be well-versed in devising and implementing robust cybersecurity strategies, ensuring not only organizational resilience but also fostering a culture of privacy and trust amidst digital transformation.

Elective Courses

Total required units of elective courses - 6 units (*Subject to change without prior notice)

The course provides students with the basic econometric knowledge and skills used in finance. The objective of the course is to help students understand the theoretical framework of econometrics and to develop their ability to use the appropriate tools for solving financial and economic related problems. The course also helps develop knowledge and skills in using computer software for econometric analysis.

The course provides students with the basic knowledge in Algorithmic and High-Frequency Trading. The objective of the course is to help students understand the operations of high-frequency trading and its impact to the modern markets. The course also helps understand the major high-frequency trading strategies, regulation, risk management and implementation of high-frequency trading.

The course introduces students the knowledge of financial management in the international context. The objective of the course is to provide students with knowledge to understand the international financial environment and its impact to Multinational Corporation. The course extends the corporate finance theory from local to international dimension. All traditional areas of corporate finance are approached from the perspective of Multinational Corporation.

This course teaches students how to use big data in business decision-making effectively. It covers techniques and architecture for managing, processing and analysing massive amounts of structured and unstructured data using advanced big data and AI technologies. Students will learn to utilize big data from sources such as social networks, web traffic, customer interactions, and news media to identify market trends, enhance marketing strategies, and offer personalized offerings and services. By the end of the course, students will have acquired the crucial skills needed to make data-driven decisions in a big data environment.

This course provides a comprehensive overview of policy, regulation, and compliance in the Financial Technology (FinTech) sector. Students will learn about global regulatory frameworks, focusing on Anti-Money Laundering (AML), Counter-Terrorist Financing (CTF), and new licensing and regulatory requirements in digital finance. The course explores traditional compliance in financial institutions, adapting to FinTech advancements, alongside FinTech-specific compliance management strategies. Ethical considerations, consumer protection, and the socio-economic impact of FinTech are also discussed. Through case studies and expert guest lectures, students will gain practical insights into applying regulatory and compliance strategies in FinTech. The course aims to equip students with essential knowledge for navigating and contributing to the regulatory landscape of this dynamic industry.

This is a three-unit elective course that can be selected under special circumstance while application and approval in advance is required. The independent study or integrative project is designed only for senior executives who may not be able to attend class at the end of program due to unforeseeable timing conflict with the scheduled class time, or for students who have obtained appropriate prior training on research (proof is needed) and would like to take an individual graduation project concentrating on the integrative application of both accounting and finance knowledge. The independent study/project can be selected to substitute only one elective course.

This is a three-unit elective course that can be selected under special circumstance while application and approval in advance is required.  The independent study or integrative project is designed only for senior executives who may not be able to attend class at the end of program due to unforeseeable timing conflict with the scheduled class time, or for students who have obtained appropriate prior training on research (proof is needed) and would like to take an individual graduation project concentrating on the integrative application of finance, FinTech, and financial analytics knowledge or for students taking industry-sponsored projects. The independent study/project can be selected to substitute only one elective course.

Scholarship and Financial Subsidy

International Postgraduate Scholarships

To enhance internationalization and provide students with a global educational experience, the International Postgraduate Scholarship is offered to outstanding international students. Scholarship recipients will get full tuition waiver plus HK$100,000 living allowance (approx. US$12,820). Eligible international applicants will be automatically considered for the scholarship based on their all-round record and interview performance. For details, please click here.

Entrance Scholarship / Young Talent Scholarships


These Scholarships, range from HK$5,000 to HK$50,000, and will be provided to students with outstanding academic backgrounds and public examination results. Applicants who submit completed applications before the deadline of the first round admission will be considered for the scholarships automatically.

IAPP Westin Scholar Book Award

A cash prize of USD 1,000 with 2 years of complimentary IAPP membership, and 3 exam vouchers for IAPP certification programs will be awarded to the student(s) who have outstanding academic performance in FIN7900 Cybersecurity, Privacy and RegTech.

Eddid Financial Fintech Scholarship

Student(s) who have obtained a minimum cGPA of 3.20 or above after the first trimester would be nominated for the Scholarship.

CEF (Continuing Education Fund)


Students can apply for the HKSAR’s Continuing Education Fund (CEF) for reimbursement up to HK$20,000 (from 1 April 2019) and/or HKSAR’s Government Extended Non-Means Tested Loan Schemes (ENLS).

Diversity Contribution Scholarships

We believe that diversity inspires new thinking, fosters greater understanding and enriches the learning experience. The Diversity Contribution Scholarship is attributed to new entrants who can enhance the diversity of the programme. Applicants are assessed on a broad range of criteria, including international exposure, cultural experiences, overseas education, work experience, special achievement and talents. The scholarship amount ranges from half tuition waiver to full tuition waiver.

University Grants Committee Taught Postgraduate Programmes Fellowships


The UGC (University Grants Committee) offers fellowships for LOCAL students studying the MSc in Finance (Fintech and Financial Analytics) programme. Eight admitted local students could receive HKD120,000 subsidy each by the government. The award of the fellowships will be based on merits taking into account the students’ academic achievements, professional qualifications, relevant working experience and achievements in other areas. Applicants are required to submit a proposal with special attention to their personal statements on how they can contribute to the FinTech and Financial Analytics areas of Hong Kong after completing the programme. (The Fellowship is subject to approval from Legislative Council)

Excellence Academic Performance Awards

Student(s) who obtain the highest cGPA in the class will be awarded at the time of graduation.

SlowMist Cybersecurity Award

A cash prize of USD 2,000 - 4,000 will be awarded to the best Individual Assignment(s) of FIN7900 Cybersecurity, Privacy and RegTech.

About the MScFIN (FTFA) Programme

Nurturing the Next FinTech Generation

Alumni Story

Prasadi Samaranayake

2020 Graduate

Educated in Brunei, the UK and Hong Kong Currently working as an Associate at PwC Hong Kong

Students Sharing

Latest News

Sales & Trading Simulation Training Workshop

The MSc in Finance (FinTech and Financial Analytics) programme recently organized a phenomenal Sales & Trading Simulation Training Workshop...

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MSc in Finance (Fintech & Financial Analytics) participated in the Hong Kong Fintech week 2023

The program showcased its dedication to fostering the growth of the Fintech ecosystem by participating in the Hong Kong...

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IFTA Awards 2023 Awardee HKBU Campus Sharing

Yesterday, our programme, in collaboration with the Institute of Financial Technologists of ASIA (IFTA), organized “IFTA Awards 2023 Awardee...

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Bloomberg Training Workshop

Our programme had the privilege of hosting an exclusive training workshop conducted by the esteemed representatives of Bloomberg. The...

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Diamond Award from IFTA FinTech and Innovation Awards 2022/2023

We are pleased to announce that our program has received the prestigious Diamond Award in the Honorary FinTech Education...

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Industry recognition

Programme Management Team

Teaching Team

The teaching team of this programme includes academic faculty from both Finance and Management Information Systems disciplines, and industry practitioners with variety of backgrounds. Some courses are co-delivered by our faculty and industry practitioners. It is envisaged that parts of these courses will be offered by visiting faculty from overseas and/or will consist of virtual classes in collaboration with overseas faculty from prestigious institutions.

Academic Advisory Committee

The Academic Advisors review the curriculum, design and help ensure the programme meets world-class standards and excellence.

Prof. Arturo Bris

  • Professor of Finance, International Institute for Management Development (IMD)
  • Director, IMD World Competitiveness Center
  • Director, Digital Finance Programme at IMD
  • Co-author of ‘Blockchange! How to survive the crypto economy’ (IMD 2018)

Prof. Raghavendra Rau

  • Sir Evelyn de Rothschild Professor of Finance
  • Cambridge Judge Business School, University of Cambridge
  • Director, Cambridge Centre for Alternative Finance (CCAF)

Prof. Viswanath Venkatesh

  • Professor, Walton College of Business, University of Arkansas
  • George & Boyce Billingsley Endowed Chair in Information Systems
  • Outstanding All-Around Faculty Award for 2018-19, Walton College of Business, University of Arkansas

Admission Requirements

Academic Qualification

  • A Bachelor degree with honours from a recognized university or comparable institution, or a professional qualification deemed to be equivalent.
  • A satisfactory score on the Graduate Management Admission Test (GMAT)/Graduate Record Examination (GRE) is encouraged but not mandatory.

Language Proficiency Requirement

Applicants should possess proof of English proficiency if their first degrees were obtained from non-English-medium institutions.

  • A minimum IELTS overall band score of 6.5; or
  • TOEFL score of 550 (paper-based)/79 (internet-based); or
  • The equivalent score of other tests.


For part-time mode applicants, preference will be given to applicants who have a minimum of three years of relevant work experience, although this may be relaxed for highly qualified applicants.

It is mandatory for students to possess basic training/experience in Finance, Mathematics or Computer Science before embarking on the program. This requirement can be satisfied by the possession of a prior academic degree with major/minor in one of the required fields, by the completion of a substantial number of courses in these fields or by related previous working experience. Applicants who do not possess these qualifications will be required to satisfactorily complete specific preparatory courses covering areas such as quantitative methods (Mathematics, Statistics), Finance and Economics. The students should gain a “pass” in the required preparatory courses before being officially admitted to the Programme.

Qualified applicants will be required to attend an admission interview as part of the selection process.

Student Visa

Student Visa

Students from overseas and Mainland China need a visa to study in Hong Kong. Please note the followings:

For more details, visit the Graduate School or HKSAR Immigration Department website.

Programme Summary


Finance (FinTech and Financial Analytics)

Faculty and Department

School of Business, Department of Accountancy, Economics and Finance

Degree awarded

Master of Science

Degree type

Taught Master

Year of entry

Sept 2024

Programme duration

1 year (Full-time) or 2 year (Part-time)

Funding Nature


Tuition Fee


(This programme has been included in the list of reimbursable courses under the Continuing Education Fund)

Admission Requirements

Bachelor’s degree from a recognized university or comparable institution, or a professional qualification deemed to be equivalent; Good English proficiency.

Application Deadline

First round: 29 February 2024 

Second round: 30 April 2024

Final round: 5 June 2024 (non-local students) / 24 July 2024 (local students)

*(Early closure of application upon quota full)



(852) 3411 2157

Study Location

Hong Kong