• Hong Kong Baptist University
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    Master of Science in Finance (FinTech and Financial Analytics)
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  • Interdisciplinary Programme

    GROWTH MINDSET

    Courses are taught by both Finance & MIS faculty, andComputer Science Industry experts
  • Practical Experience
    INTERNSHIPS
    We line up with different Finance and FinTech companies to provide internship opportunities to our students
  • Industry Advisory Committee
    EXPERTISE
    Our industry advisory committee is composed of experts from Finance, A.I., Analytics, Cybersecurity, Privacy and more

Prepare for the Future Opportunity and Technological Transformation in the Finance Industry.

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 Management Information Systems 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, Cryptocurrency, Algorithmic Trading, Financial Fraud, and 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 Summary Contact Us
Programme Overview

Who Should Enrol?

The Department of Finance and Decision Sciences is committed to nurture more FinTech talent in Hong Kong

Programme Characteristics

Programme Characteristics

How does the programme help?

  • Students are encouraged to participate in internships during their studies and we will assist with providing internship opportunities.
  • The programme is inter-disciplinary. Courses are taught by both Finance and Management Information Systems faculty, and industry practitioners with finance, business, and computer science backgrounds.
  • Some courses are co-delivered by our faculty alongside industry practitioners to equip students with both theoretical and practical knowledge.
  • Our advisory committee will not only provide advice on programme design, but when possible, share their valuable first-hand experience with the students.
  • Students who have a postgraduate degree in Finance or related disciplines could have up to 50% of credit transferred towards the finance-related curriculum; subject to departmental approval. Students with credit transfers will be offered a discount on the programme fee, proportional to the courses exempted.

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

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.

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 1 Year Membership from IAPP, which will allow access to their online resources and member benefits. This course will also cover the fundamental privacy concepts towards IAPP's prestigious industry certifications. (IAPP)

Core Courses

Total Required Units of Core Courses - 24 units

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.

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 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

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.

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.

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 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.

Scholarships

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.

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.

Entrance Scholarship / Young Talent Scholarships

For full-time applicants only

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.

Excellence Academic Performance Awards

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

Industry recognition

Programme Management Team


Prof. Aris Stouraitis

PhD Finance, Imperial College London
Head, Department of Finance & Decision Sciences
Director, Centre for Corporate Governance & Financial Policy

Aris' research has been published in the Journal of Financial Economics, the Journal of Financial & Quantitative Analysis, the Review of Finance, and other international journals.

His research or commentary has also featured in articles on Bloomberg, The Economist magazine, the leading German financial newspaper Handelsblatt, and other media outlets in Hong Kong, Europe, North and South America.


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Prof. Aris Stouraitis

Dr. Dorothy Chau

Dr. Dorothy Chau

Fellow of Information Privacy, International Association of Privacy Professionals, CIPP/E, CIPP/A, CIPM
PhD Management Information Systems, Hong Kong Polytechnic University
Director, MSc in Finance (Fintech & Financial Analytics)

Dorothy is a seasoned FinTech professional and has been an industry and academic liaison for over 8 years, bringing together the best minds and leaders in Finance, FinTech, A.I., RegTech, Privacy and Cybersecurity.

She is the advisor and chairman of the data privacy special interest group of the Institute of Financial Technologists of Asia (IFTA). She is also the founding council member and chairman of the blockchain education committee of the Hong Kong Blockchain Development Association (HKBCDA).


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Ms. Connie Leung

MBA, Columbia Business School
Associate Director, MSc in Finance (Fintech & Financial Analytics)

Before joining academia, Connie spent 20 years in the banking sector in New York and Hong Kong, where she worked with leading international financial institutions such as Nomura International, Societe Generale, Deutsche Bank, Credit Suisse First Boston, and Swiss Bank Corporation.


Ms. Connie Leung

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.

Finance Faculty Information Systems Faculty
Adjunct Professor Samson Tai

Adjunct Professor Samson Tai

IBM Distinguished Engineer & Chief Technology Officer,
IBM China/Hong Kong Limited

Prof. Samson Tai is an IBM Distinguished Engineer and the Chief Technology Officer of IBM Hong Kong. During his career with IBM, he has held a number of senior technical and business leadership positions in the company. Prof. Tai is an expert in Big Data and Analytics and has spearheaded many innovative solutions by applying emerging technologies across different aspects of the business for clients in Hong Kong. Prof. Tai has a doctoral degree and a master’s degree in business administration and a bachelor degree in computer science. He is also a Chartered Engineer (CEng MIET) of Engineering Council, UK; a Chartered IT Professional (CITP MBCS) of British Computer Society; and a member of Hong Kong Institution of Engineers (MHKIE).

Adjunct Professor Samson Tai

IBM Distinguished Engineer & Chief Technology Officer
IBM China/Hong Kong Limited
Prof. Tai is an IBM Distinguished Engineer and the Chief Technology Officer of IBM Hong Kong. During his career with IBM, he has held a number of senior technical and business leadership positions in the company. [Read More] Linkedin
Adjunct Professor Jason Lau

Adjunct Professor Jason Lau

CISSP, FIP, CIPP/E, CIPM, CGEIT, CRISC, CISA, CISM, CEH, CNDA
Chief Information Security Officer, Crypto.com
Regional Leader, International Association of Privacy Professionals

Prof. Lau is a multiple award winning cybersecurity professional, including the, “Hong Kong Cybersecurity Professional Award” and “Financial Technologist of the Year (Data Privacy)”. Prof. Lau is currently CISO at Crypto.com, a Blockchain FinTech with market cap of over USD 450M as of early 2019; helping them become the first cryptocurrency company worldwide to achieve company-wide ISO27001:2013 certification. Prof. Lau was formerly regional Cyber Security Advisor at Microsoft, with over 18 years of experience holding executive roles, advising international clients such as Credit Suisse, Falcon Private Bank, ETH Zurich, Swiss Air Force, Social Security Administration and many more. Prof. Lau has completed Executive Programs at both Stanford and Harvard, and holds a double degrees in Engineering (Hon) and Commerce. Prof. Lau is also active in industry, with a seat on Cyberport's Entrepreneurship Committee Advisory Group, ISACA’s General Data Protection Regulation (GDPR) Global Working Group, a Fellow of Information Privacy (FIP), and Regional Leader and Co-Chair of the International Association of Privacy Professionals (IAPP) Hong Kong Chapter.

Adjunct Professor Jason Lau

CISSP, FIP, CIPP/E, CIPM, CGEIT, CRISC, CISA, CISM, CEH, CNDA
Chief Information Security Officer, Crypto.com
Regional Leader, International Association of Privacy Professionals
Prof. Lau is a multiple award winning cybersecurity professional including the “Financial Technologist of the Year (Data Privacy)”, and former Cyber Security Advisor at Microsoft with over 18 years in consulting. [Read More] Linkedin
Dr. Paul Sin

Dr. Paul Sin

Partner, Leader of FinTech Practice & Asia Pacific Blockchain Lab, Deloitte

Dr. Paul Sin has over 20 years of IT management and consulting experience focusing in financial services sector, currently a Partner and leading the FinTech practice and Asia Pacific Blockchain Lab in Deloitte. Prior to Deloitte, Paul served as CEO of Fintech, CIO for a bank, a brokerage firm, and a global conglomerate, as well as practice leader for other global consulting firms, specializing in emerging technologies.

Dr. Paul Sin

Partner, Leader of FinTech Practice & Asia Pacific Blockchain Lab, Deloitte Dr. Paul Sin has over 20 years of IT management and consulting experience focusing in financial services sector, currently leading the FinTech practice and Asia Pacific Blockchain Lab in Deloitte. [Read More] Linkedin
Visiting Lecturer Martin Wong

Visiting Lecturer Martin Wong

Executive Director and Head of Exchange Traded Solutions Sales, Asia-Pacific, BNP Paribas

Martin Wong joined BNP Paribas in 2015 and is currently an Executive Director and Head of Exchanged Traded Solutions Sales, Asia-Pacific. Martin is responsible for the bank’s existing businesses of warrant and CBBC in the region, as well as developing Exchange Traded Solutions in the region. Martin has gained extensive experience in listed products across Asia including structured warrants, CBBCs, futures, options and ETFs. He has also served in sales and marketing roles in distribution of common equity-linked products, structured products and correlation-linked structures to private and consumer banks and other financial institutions in the region. Prior to joining BNP Paribas, Martin was a Director and Head of warrants at Citigroup Global Markets Asia Limited from 2013 to 2015 and an Executive Director of Rabobank International within the Equity Derivatives department from 2005 to 2013. Martin holds a MSc in Insurance and Risk Management from CASS Business School, London and a BEng in Mechanical Engineering from Imperial College, London. Martin has been a course lecturer for Hong Kong Baptist University since 2011 specialized in teaching the subject of Securities Derivatives and Risk Management. His investment banking experience has allowed Martin to blend textbook theories with practical case studies in his teaching, which has been well accepted over the years.

Visiting Lecturer Martin Wong

Executive Director and Head of Exchanged Traded Solutions Sales, Asia-Pacific
BNP Paribas
Martin Wong joined BNP Paribas in 2015 and is currently an Executive Director and Head of Exchanged Traded Solutions Sales, Asia-Pacific. Martin is responsible for the bank’s existing businesses of warrant and CBBC in the region, as well as developing Exchange Traded Solutions in the region. [Read More]

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

Industry Advisory Committee

Our 11 prestigious Industry Advisors evaluate and advise on programme curriculum and design. They come from some of the biggest and most prestigious companies from around the world, and their input ensures our program addresses the current and future FinTech industry demands.

Featured Speakers

Knowledge . Passion . Growth

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

  • 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.

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

Others

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

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.

Graduate School Immigration Department

Students from Mainland China should submit their visa applications through the University. Detailed information will be given once admission is offered

Students from other countries should enquire at their local Chinese Embassy or write to the Immigration Department of Hong Kong (Address : 7 Gloucester Road, Wanchai, Hong Kong)

Applications should be made at least two months in advance

Students needing help to find a visa sponsor should contact the Graduate School.

Programme Summary

  • Programme: Finance (FinTech and Financial Analytics)
  • Faculty and Department: School of Business, Department of Finance and Decision Sciences
  • Degree awarded: Master of Science
  • Degree type: Taught Master
  • Year of entry: Sept 2019
  • Programme duration: 1 year (Full-time) or 2 year (Part-time)
  • Funding Nature: Self-financed
  • Tuition Fee: HK$250,000
  • Study Location: Hong Kong
  • Admission Requirements: Bachelor’s degree from a recognized university or comparable institution, or a professional qualification deemed to be equivalent; Good English proficiency.
  • Prospectus: Download here
  • Application Deadline: 8/8/2019 (Local) | 15/6/2019 (Non-local)
  • Email: mscfinance@hkbu.edu.hk
  • Tel: (852) 3411 5218