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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)

The world of global finance, banking and financial services is changing rapidly with the emergence of financial technologies, commonly referred to as FinTech. FinTech is also the term which encompasses the disruption of traditional functions: payments, capital raising, remittances, consumer banking, B2B banking and much more. Over the last few years, FinTech has allowed for new mediums of finance, from micro-payments over mobile apps, P2P lending and spending integrated into social media, new electronic methods of institutions trade, through to robo-advisors helping to make decisions about investment portfolios to name a few. This course provides students with the latest practical knowledge on FinTech, enabling students to understand the underlying reasons of why change was needed, and through industry case studies, understand how disruptive technologies have helped to create a new ecosystem. We are only at the early stages of FinTech, thus students will need to prepare themselves with a deeper understanding of Financial Technology.

Machine learning, Big Data and Artificial Intelligence are rapidly becoming key pillars to help financial organisations make more accurate and timely decisions, and to uncover previously undiscovered patterns and relationships with data. This is highly impactful for the Financial Industry as a whole, due to the immense amount of financial data being transacted daily. Machine learning uses computers to run scientific models that forecast future behaviours, outcomes, and trends, and has given birth to new-age algorithmic trading, robo-advisors, and improved understanding of human behaviour in the capital marketplace. This course will give students clearer understanding of the fundamentals of machine learning theory, combined with practical scenarios and hands-on exercises. The course will also draw from numerous case studies and applications, so that students also learn how to build and apply their own algorithms to real life situations.

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 and bonds. 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 and R 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 and R programming languages. In the current era of Big Data, the capabilities of a language/platform/tools 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 and R languages are selected in this course because they are the most popular options for big data processing due to their simple usage and wide set of data processing libraries. They are also preferred for making scalable applications and can be easily integrated with web applications.

With the rise of disruptive technology, particularly in the area of FinTech, new concepts in the use of money, payments, identity, and security need to be looked at through a new lens. Under the rapidly changing landscape, it’s important for an organization to respond early and effectively to ride the wave and take advantage of the new opportunities. Through workshops, round-table discussions, case studies and sharing from expert industry practitioners, the course widens and deepens students’ understanding of the rapidly changing landscape and the impact of Blockchain on the traditional financial industry. Students will develop new insights and perspectives, grab the opportunities from blockchain and cryptocurrency, and harness new technologies to take the financial industry to the next level.

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.

The ecosystem for conducting business is changing rapidly towards a digital economy with the emergence of FinTech. This has introduced new attack surfaces, where financial systems are now one of the most targeted industries by criminals. While open platforms brings easier access to financial services and enhanced customer experience, an organization needs to balance the openness with being secure. As cyber attacks become more frequent and widespread, financial losses and data breaches result in the need for regulators to take closer notice; all these put pressure on financial institutions to act and comply. This course will provide students with a practical perspective on cybersecurity and privacy, enabling them to understand the key security and information protection issues under the broad umbrella of FinTech. This course will also cover the latest regulations such as EU’s General Data Protection Regulation (GDPR) and industry compliance frameworks on security and privacy.

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.

The rapid growth in computing power have made it possible to process large amounts of data from a mixture of sources, and has opened up the ability to perform “textual analysis”. Textual analysis allows us to use machines to extrapolate analysis from a wide range of resources. For example, corporate disclosures (financial statements, regulatory disclosures and filings, press articles, social media etc). The aim of this analysis is to answer questions, “Can we extract intended and unintended sentiment from such disclosures in a way that will inform company valuation?”, “Can we train algorithms to analyse textual data and come to faster and possibly more accurate conclusions before humans do?”, “Can we monitor social media for clues about investor sentiment etc?” The course introduces students to a practical perspective on textual analysis techniques and their applications in finance and accounting settings. It also highlights some of the problems in interpreting results in a meaningful way, and issues with data ethics.

This course provides students with an understanding of compliance in the finance industry. Compliance in the banking industry topics include Anti-Money Laundering and Counter Terrorist Financing. For compliance in the investment industry, the regulatory framework will be introduced. After the completion of the course, students will have basic understanding about compliance in Banking and Investment Industry and will be able to apply compliance procedures.

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.

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