CUHK Master's
CUHK Master's
MSc in Finance
Overview
Curriculum
Careers
Alumni
Admissions
Faculty List
Master the World of Finance

The MSc in Finance offers rigorous training to master financial theories and techniques and develop strong quantitative reasoning, along with the latest technological skills in finance. You can study full-time for 1 year, or part-time for 2 years. After you graduate, you will be primed for a career in investment banking, commercial and corporate banking, asset management, regulatory bodies, consulting, financial services, accounting and general management.

Relevant and Applicable Skills

This programme provides a solid foundation in portfolio analysis, credit analysis, risk modelling, structured finance, sales and trading, operations and more. You will receive hands-on training in options, futures, trading strategies and algorithms, arbitrage and high frequency trading.

Practical Experience

You will experience real market operations in the Finance Trading Laboratory and learn how to react to market fluctuations with guidance from professional traders at world-renowned financial organisations. The lab has 53 workstations equipped with Bloomberg and Reuters terminals, carrying with real-time data feeds from all major stock exchanges, including those in Hong Kong, Singapore, Seoul, Osaka, New York and Europe.

MSc in Finance Advisory Committee

The Full-time MSc Programme in Finance established an Advisory Committee in 2019. The members of this Committee are all seasoned professionals in the field of finance and related areas. The Committee provides high level steering on the direction of the programme as well as help in maintaining the quality and relevance of course content. The Committee also facilitates contact with industry for internships and graduate placements, practicums and mentorship programmes. The membership of the Advisory Committee as of 2026 is as follows:

Prof. Martin K Matsui
Adjunct Professor
Department of Finance
CUHK Business School

Mr. Christopher Chan
Former Chief Investment Officer (Public Markets)
Exchange Fund Investment Office
Hong Kong Monetary Authority

Mr. Douglas Chow
Founder & Chief Executive Officer
PortageBay

Dr. Sue Wan Chua
Director, Investment Office
The Hong Kong Jockey Club

Mr. Vincent Chui
Chief Executive
Morgan Stanley Bank Asia Limited

Mr. Albert Goh
Deputy Chief Executive Officer (Exchange Fund Investment Office)
Hong Kong Monetary Authority

Ms. Sau Kwan
Former President
E-Fund Management Co., Ltd

Mr. Mark Leung
Former CEO China, Co-head of Global Equities, CIB Global Management Committee Member
J.P. Morgan

Mr. Andrew Lo
Senior Managing Director & Chief Executive Officer
Invesco Asia Pacific

Mr. Tom Morrow
Chairman of FICC & Equities, APAC & Chief Client Officer, APAC
Goldman Sachs (Asia) LLC

Mr. Nick Pollard
Managing Director, Asia Pacific
CAIA Association

Mr. David Russell
Chairman of Market Advisory Group
CMU OmniClear

Mr. William Shek
Managing Director
Advisor to CEO
Hang Seng Bank

Mr. Tony Tang
Head of China
Chairman of Greater China
Citadel Securities Asia Services Limited

Ms. Haining Yin
APAC Head of Credit Client Solutions
KKR

Dr. Haibin Zhu
Executive Director (Research)
Hong Kong Monetary Authority

Prof. Charles Cao
Chairman
Department of Finance
CUHK Business School

Prof. Griffin Jiang
Director, MSc Programme in Finance
Department of Finance
CUHK Business School

Prof. Nai-pan Tang
Director, BSc Programme in Quantitative Finance
Department of Finance
CUHK Business School

Ms. Ada Lai
Placement Director
Department of Finance
CUHK Business School

Ms. Ye Tian
Senior Programme Manager
MSc Programme in Finance
Department of Finance
CUHK Business School

See Curriculum
Key Facts
Duration
Full-time: 1 year
Part-time: 2 years
Programme Commencement
September
Entry Requirements
  • A bachelor’s degree with Second Class honours or achieving an average grade of B from a recognised university, or an equivalent professional qualification.
  • English language proficiency

Full-time

  • GMAT / GRE scores are not mandatory, but a good GMAT / GRE score will strengthen the application.

Part-time

  • Preferably with 2 years of post-qualification full-time work experience.
Apply Now
Download Brochure (Full-time)
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Download Brochure (Part-time)
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Develop Holistic Skills
Tailored to Suit You

The advanced curriculum is highly flexible. With a wide range of electives to choose from, you can tailor your studies to your interests.

Quality Teaching Methods

Our unique tutorial system keeps classes small with a focus on practical applications. We refine the course material continuously, seeking and incorporating feedback from stakeholders regularly to ensure you get the most up-to-date knowledge and techniques in this field.

A Global Outlook

The Exchange Programme offers an opportunity to study at prestigious business schools abroad and gain a different perspective on business issues while building a global network. We also offer overseas study trips, so you can gain a broader perspective and acquire new skills.

Get to Know Our Alumni
Our alumni are passionate about supporting each other and current students, continuously expanding our network of deep connections and influence in business and society.


Alex Wang (MSc in Finance Full-time Student 2020)

Get to Know Our Alumni

Heather He (MSc in Finance Full-time Student 2017)

Get to Know Our Alumni

CUHK MSc in Finance – Students and Alumni Sharing

Prepare for Your Future

To help you prepare for a rich and rewarding career, we invest significant resources in career support. We give practical workshops on all aspects of the job hunting and application process, as well as comprehensive and personalised career advice and coaching, such as one-to-one or small group mock interviews. We also organise experience sharing and networking sessions with alumni and industry professionals.

Careers after graduation

MSc in Finance graduates are in high demand in Hong Kong and beyond. Our placement office works closely with an impressive and growing list of employers. Our graduates are equipped to take up a wide range of roles, such as portfolio analysis, credit analysis, risk modelling, structured finance, sales and trading, operations and more. They are also suited to roles as graduate or management trainees in general business.

On average, more than 90% of our graduates have found employment within three months of graduation. Around 80% of these work in the banking and finance industry, with about 40% based in Hong Kong.

Ranks 21st Worldwide in Financial Times
Personalised Career Support
Diversified Career Directions
See Careers
Overview

Full-time Programme

This is tailored for fresh graduates and junior professionals who want to obtain a solid foundation in finance and quantitative skills.

To complete the programme, you will need to attain 36 credits of coursework, comprising of 7 core courses and 15 credits of elective.

Part-time Programme

This is for executives with extensive work experience who want to gain in-depth knowledge of corporate finance and investment.

To complete the programme, you will need to attain 30 credits of coursework, comprising of 5 core courses and 15 credits of elective.

Programme Schedule

Notes: Each course is usually 3 hours per week for 12 weeks, or for the intensive option, 6 hours per week for 6 weeks. Core and elective courses are subject to change. The medium of instruction is English.

Full-time Programme (1 Year)
Term 1
Sep-Dec
  • 3 core courses
  • 3 credits of elective
Term 2
Dec-Mar
  • 3 core courses
  • 3 credits of elective
Term 3
Mar-Jun
  • 1 core course
  • 9 credits of elective
Summer Term (Intensive)
Jun-Jul
  • one 3-credit elective course (optional)
Part-time Programme (2 Years)
Year 1
Year 2
Term 1
Sep-Dec
  • 2 core courses
  • 6 credits of elective
Term 2
Dec-Mar
  • 2 core courses
  • 6 credits of elective
Term 3
Mar-Jun
  • 1 core course
  • 3 credits of elective
Summer Term (Intensive)
Jun-Jul
  • 1 elective course (optional)
  • 1 elective course (optional)
Course List
Required Courses for Full-time Programme (1 Year)
Required Courses for Part-time Programme (2 Years)
Elective Courses (Total 15 Credits)
Other Elective Courses
This course provides an in-depth analysis of the financial management decisions of the corporation entity. Specific topics include: theories of agency costs and asymmetric information that underlie financial decisions, capital structure, dividend policy, equity capital and long-term debt funding; warrants and convertibles, and corporate risk management.
This course examines the valuation and market structure of derivative securities. Topics include the role of derivative securities, the determination of forward and futures prices, hedging strategies using futures, trading strategies with futures, properties of options, the pricing of stock options, options on indices, currencies and futures contracts, risk analysis, applications of option pricing models, biases in the Black-Scholes model, interest rate options, exotic options, risk management with options, and trading strategies with options. The course involves extensive and intensive use of computer and relevant software packages.
The foundations underpinning investment decisions are examined alongside portfolio management in this course. Topics include the risk-return tradeoff, the capital asset pricing model, the arbitrage pricing model, security analysis, portfolio selection, performance evaluation, hedging strategies, bond analysis, and an introduction of the uses of derivative securities in portfolio management. A delicate balance will be maintained between theory and practical applications.
The course introduces probability, stochastic processes, and statistics required for quantitative finance study. Topics include: time value of money, probability, probability distributions and descriptive statistics, sampling and estimation, hypothesis testing, correlation analysis and regression, time series analysis, simulation analysis and technical analysis.
This course provides a graduate-level overview of the principles and concepts that underlie corporate financial reporting and the economic consequences of accounting choices. The course focus is on developing the skills required to interpret the information contained in financial statements and its use in decision-making rather than on the skills required to prepare financial statements. Topics include the use of accounting information in evaluating firm performance, and corporate reporting policies.
The course covers both micro- and macro-economics fundamental to finance practice. Topics for microeconomics include: game theory and its application in finance, asymmetric information, consumer and producer behaviours, externality, public goods, information technology and network effect, asset markets and investment under uncertainty, mean variance optimisation and portfolio theory, and behavioural economics. Topics for macroeconomics include: Classical macroeconomics, Keynesian macroeconomics, Output, inflation and unemployment, trade and exchange rate, economic policies, and Economic growth.
Python has rapidly become a powerful and versatile programming language widely used in the financial industry. This course is designed to provide students with the essential skills and knowledge to leverage Python for various financial applications. Throughout this course, students will gain hands-on experience with Python libraries and packages specifically tailored for financial analysis, modeling, and data manipulation. They will learn how to implement quantitative finance techniques, perform data analysis, build financial models, and automate repetitive tasks using Python. Key topics covered in this course include: 1) Overview of Python and its applications in the financial industry;
2) Managing Financial Data; 3) Implementing statistical analysis techniques for financial data; and 4) Financial Modeling and Simulation. This course will prepare students for advanced courses such as Algorithmic Trading Strategies and Machine Learning in Finance.
This course provides an in-depth analysis of the financial management decisions of the corporation entity. Specific topics include: theories of agency costs and asymmetric information that underlie financial decisions, capital structure, dividend policy, equity capital and long-term debt funding; warrants and convertibles, and corporate risk management.
This course provides a graduate-level overview of the principles and concepts that underlie corporate financial reporting and the economic consequences of accounting choices. The course focus is on developing the skills required to interpret the information contained in financial statements and its use in decision-making rather than on the skills required to prepare financial statements. Topics include the use of accounting information in evaluating firm performance, and corporate reporting policies.
This course examines the valuation and market structure of derivative securities. Topics include the role of derivative securities, the determination of forward and futures prices, hedging strategies using futures, trading strategies with futures, properties of options, the pricing of stock options, options on indices, currencies and futures contracts, risk analysis, applications of option pricing models, biases in the Black-Scholes model, interest rate options, exotic options, risk management with options, and trading strategies with options. The course involves extensive and intensive use of computer and relevant software packages.
The course covers both micro- and macro-economics fundamental to finance practice. Topics for microeconomics include: game theory and its application in finance, asymmetric information, consumer and producer behaviours, externality, public goods, information technology and network effect, asset markets and investment under uncertainty, mean variance optimisation and portfolio theory, and behavioural economics. Topics for macroeconomics include: Classical macroeconomics, Keynesian macroeconomics, Output, inflation and unemployment, trade and exchange rate, economic policies, and Economic growth.
The foundations underpinning investment decisions are examined alongside portfolio management in this course. Topics include the risk-return tradeoff, the capital asset pricing model, the arbitrage pricing model, security analysis, portfolio selection, performance evaluation, hedging strategies, bond analysis, and an introduction of the uses of derivative securities in portfolio management. A delicate balance will be maintained between theory and practical applications.
Python has rapidly become a powerful and versatile programming language widely used in the financial industry. This course is designed to provide students with the essential skills and knowledge to leverage Python for various financial applications. Throughout this course, students will gain hands-on experience with Python libraries and packages specifically tailored for financial analysis, modeling, and data manipulation. They will learn how to implement quantitative finance techniques, perform data analysis, build financial models, and automate repetitive tasks using Python. Key topics covered in this course include: 1) Overview of Python and its applications in the financial industry; 2) Managing Financial Data; 3) Implementing statistical analysis techniques for financial data; and 4) Financial Modeling and Simulation. This course will prepare students for advanced courses such as Algorithmic Trading Strategies and Machine Learning in Finance.
The course introduces probability, stochastic processes, and statistics required for quantitative finance study. Topics include: time value of money, probability, probability distributions and descriptive statistics, sampling and estimation, hypothesis testing, correlation analysis and regression, time series analysis, simulation analysis and technical analysis.

(Total 7 courses / 21 credits)

This course provides a graduate-level overview of the principles and concepts that underlie corporate financial reporting and the economic consequences of accounting choices. The course focus is on developing the skills required to interpret the information contained in financial statements and its use in decision-making rather than on the skills required to prepare financial statements. Topics include the use of accounting information in evaluating firm performance, and corporate reporting policies.
The foundations underpinning investment decisions are examined alongside portfolio management in this course. Topics include the risk-return tradeoff, the capital asset pricing model, the arbitrage pricing model, security analysis, portfolio selection, performance evaluation, hedging strategies, bond analysis, and an introduction of the uses of derivative securities in portfolio management. A delicate balance will be maintained between theory and practical applications.
The course covers both micro- and macro-economics fundamental to finance practice. Topics for microeconomics include: game theory and its application in finance, asymmetric information, consumer and producer behaviours, externality, public goods, information technology and network effect, asset markets and investment under uncertainty, mean variance optimisation and portfolio theory, and behavioural economics. Topics for macroeconomics include: Classical macroeconomics, Keynesian macroeconomics, Output, inflation and unemployment, trade and exchange rate, economic policies, and Economic growth.
This course provides an in-depth analysis of the financial management decisions of the corporation entity. Specific topics include: theories of agency costs and asymmetric information that underlie financial decisions, capital structure, dividend policy, equity capital and long-term debt funding; warrants and convertibles, and corporate risk management.
This course examines the valuation and market structure of derivative securities. Topics include the role of derivative securities, the determination of forward and futures prices, hedging strategies using futures, trading strategies with futures, properties of options, the pricing of stock options, options on indices, currencies and futures contracts, risk analysis, applications of option pricing models, biases in the Black-Scholes model, interest rate options, exotic options, risk management with options, and trading strategies with options. The course involves extensive and intensive use of computer and relevant software packages.
This course provides a graduate-level overview of the principles and concepts that underlie corporate financial reporting and the economic consequences of accounting choices. The course focus is on developing the skills required to interpret the information contained in financial statements and its use in decision-making rather than on the skills required to prepare financial statements. Topics include the use of accounting information in evaluating firm performance, and corporate reporting policies.
This course provides an in-depth analysis of the financial management decisions of the corporation entity. Specific topics include: theories of agency costs and asymmetric information that underlie financial decisions, capital structure, dividend policy, equity capital and long-term debt funding; warrants and convertibles, and corporate risk management.
The foundations underpinning investment decisions are examined alongside portfolio management in this course. Topics include the risk-return tradeoff, the capital asset pricing model, the arbitrage pricing model, security analysis, portfolio selection, performance evaluation, hedging strategies, bond analysis, and an introduction of the uses of derivative securities in portfolio management. A delicate balance will be maintained between theory and practical applications.
This course examines the valuation and market structure of derivative securities. Topics include the role of derivative securities, the determination of forward and futures prices, hedging strategies using futures, trading strategies with futures, properties of options, the pricing of stock options, options on indices, currencies and futures contracts, risk analysis, applications of option pricing models, biases in the Black-Scholes model, interest rate options, exotic options, risk management with options, and trading strategies with options. The course involves extensive and intensive use of computer and relevant software packages.
The course covers both micro- and macro-economics fundamental to finance practice. Topics for microeconomics include: game theory and its application in finance, asymmetric information, consumer and producer behaviours, externality, public goods, information technology and network effect, asset markets and investment under uncertainty, mean variance optimisation and portfolio theory, and behavioural economics. Topics for macroeconomics include: Classical macroeconomics, Keynesian macroeconomics, Output, inflation and unemployment, trade and exchange rate, economic policies, and Economic growth.

(Total 5 courses / 15 credits)

Traditional finance seeks to understand financial markets assuming that investors are "rational". Rationality means that investors can access to and have the ability to process information correctly and that competition between investors ensures that securities are correctly priced to reflect all available information. That is, the market is efficient. However, recent studies suggest that markets are not efficient and that investors are not fully rational. For example, particular trading strategies based on past information such as past returns and accounting information are able to outperform the markets. In addition, studies find that investors are committed to certain heuristic-based biases and frame dependent such as overconfidence, optimism, self-attribution, illusion of control, loss aversion, representativeness heuristic, anchoring, availability, ambiguity aversion, hindsight, flaming, etc. Behavioral biases combined with limits to arbitrage may result in securities not to be correctly priced. This course will help students understand how individuals’ attitudes and behaviors affect their financial decisions and financial markets. In the practical side, this course will emphasize the role of investors’ psychological biases on various types of market inefficiency and show how sophisticated investors can take advantage of these behavioral biases. This is a research-oriented course with emphasis on both psychology theories and data analysis skills.
The course enables students to gain comprehensive knowledge and practical insights in the latest trends of corporate finance and investment management. The cases discussed in the course cover important topics including finance resource allocation, mergers and acquisitions, funds investment and trading strategies. Moreover, the group project, being the key component in this course, should enable students to integrate theories in corporate finance and investment to empirical topics in capital budgeting, asset management and trading strategy.
This course is designed to examine and analyse bank's major functions and the principles underlying modern banking operations and practices. It covers issues including bank's payment operations and their roles, the general principles of bank lending, the range of credit services available and the principles of taking securities, trade finance, credit cards and some other major banking services. Various bank risk management methods are conducted in a simulated environment.
This elective course aims to teach the fundamental concepts underlying general and advanced analytical tools in credit risk modelling, credit rating methodology, counterparty credit risk and credit derivatives. Course contents will also relate to latest market regulations and capital requirements.
This course covers econometrics used in empirical finance. Topics will include univariate and multivariate linear models, parametric and nonparametric models of volatility, evaluation of capital asset pricing model, arbitrage pricing theory, risk management models. The course makes extensive use of computer-based applications to draw inferences.
This course will cover exchange rate theory, exchange rate policy, and statistical work on exchange rate determination. It will also touch on important topics of the day, such as China's exchange rate regime, global imbalances, and the problems of the Eurozone.
In recent years, an increasing number of investors around the world chase not only financial returns but also social returns. The asset management industry has actively engaged in impact investment. Firm managers can deliver these social returns by doing better in ESG (Environmental, Social, and Governance). This course focuses on the current trend in sustainable finance and impact investment, their influence on firms and society, and the challenges encountered by both firms and the financial industry.
This course provides an overview of the basic tools in machine learning, with emphases on applications in finance. Machine learning plays an important role in FinTech. Individual investors and financial institutions who are able to leverage these new tools and technology will have a significant advantage. This course discusses these new opportunities and challenges. It seeks to equip students with these highly coveted skills in the market. We will cover topics including: cluster analysis, decision trees, support vector machines, flexible discriminants, and neural networks, accompanied with the corresponding financial applications. Real world finance problems often deal with large datasets, traditionally with historical price and return as well as data on financial statements. More recently, other databases like consumer credit and online data (e.g., Google search, news media, satellite images, etc.) are also becoming more important for financial analysts. Dealing with such large datasets require tools to manipulate them, and we will introduce the use of Python and detailed instructions on how to perform analysis on large datasets. Once students become comfortable with the use of Python and manipulation of large sets, we will introduce students to tools in machine learning, which plays an important role in our financial market, from approving loans, managing portfolios, to assessing risks. Advances in machine learning technology have enabled financial institutions to explore the applications of artificial intelligence in areas like customer service, personal finance, wealth management, and risk management.
This course integrates areas within financial management and investments to analyse merger and acquisition (takeover) markets. The class will be conducted using both lectures and presentations. The topics covered in lectures include an overview of takeover markets, legal aspects and restrictions, capital budgeting techniques, the efficient market hypothesis, the market model and computation of abnormal returns, the dividend discount model and the free cash flow model. The topics covered in presentations will include US and Hong Kong cases of mergers, tender offers and leveraged buyouts. Amongst other things, the efficient market hypothesis is applied to analyse the stock market response to takeover announcement as well as a range of other issues including: welfare gains/losses associated with takeover, the cost of capital for due acquiror and the intrinsic value of the target (using dividend discount and free cash flow models).
Python has rapidly become a powerful and versatile programming language widely used in the financial industry. This course is designed to provide students with the essential skills and knowledge to leverage Python for various financial applications. Throughout this course, students will gain hands-on experience with Python libraries and packages specifically tailored for financial analysis, modeling, and data manipulation. They will learn how to implement quantitative finance techniques, perform data analysis, build financial models, and automate repetitive tasks using Python. Key topics covered in this course include: 1) Overview of Python and its applications in the financial industry; 2) Managing Financial Data; 3) Implementing statistical analysis techniques for financial data; and 4) Financial Modeling and Simulation. This course will prepare students for advanced courses such as Algorithmic Trading Strategies and Machine Learning in Finance.
This course explores quantitative methods in credit risk management and examines market risks, operational risks, integrated risk management, and risk management information technology. Basic Value-at-Risk (VaR) methodologies such as historical simulation, parametric VaR, delta-gamma approximation and Monte-Carlo simulation will be covered. Defaults of bank loans, corporate bonds, and/or counter-parties are addressed. Reduced-form models and structure models are discussed, with application of CreditmetricsTM and KMV methodologies.
This course aims to provide students with a management level understanding of the history and development of the fast-growing wealth management business in Hong Kong as well as Asia. Key topics to be discussed include the regulatory framework for wealth management industry, a review of the relationship between macro-economic cycle and wealth management product development and product shelf management strategies, roles and responsibilities of the various players within the wealth management industry value chain to fulfill various stages of individual customers' financial needs as well as the latest development of Hong Kong as one of the Family Office Hub in Asia under Private Wealth business, business proposition including sales and marketing strategies, and the technology and operational infrastructure required to support the business process and to deliver exceptional customer experience. Moreover, this course will provide students with the opportunity to examine and to develop their understanding of the cause, development, and impact of some of the most significant financial crises during the last three decades and to develop an appreciation and understanding of the impact to customers and the wealth management business. Topics to be discussed include the Wall Street Crash in 1929 followed by the Great Depression, the Black Monday in 1987, Asian Financial Crisis in 1997, Dot-Com Bubble in 2000, Subprime Mortgage Crisis in 2007, and Covid in 2019. We will first examine the inter-relationship between the development of political economy, technology and financial market. Then, on the impact in the financial regulatory framework, in the wealth management industry, and to the individual investors.
This course provides an overview of the capital markets and financing strategies for corporations. It covers equity capital markets, fixed income markets, and loans. Specific topics include analyzing IPO documents, secondary offerings, equity valuation, convertible bonds and other hybrid instruments, debt capital markets, analyzing bond documents, loan revolvers, working capital management, and syndicated loans.
The purpose of this course is to help students study and understand the financial market and financial institutions in China. The history and current issues of China financial system will be addressed.
This course delves into the major issues surrounding equity fund-raising in China. The principal focus is on initial public offerings (IPOs) and seasoned issues in Chinese stocks (including H- share, 'red-chip', private Chinese and 'China-concept' issuers) listed in Hong Kong. The characteristics of the various corporate entities and the nature of the funding methods utilized are critically explored. Case analysis of major IPO and seasoned equity issues (rights issues and private placings) features to amplify these objectives. Shanghai A- share listings are also considered as well as the various reforms to its constituent issuers. These include the transformation of non-tradable stock holdings into tradable form, the development of QFII and QDII schemes and the key reforms to China's leading state-owned commercial banks. Finally, dual listings, such as American depositary receipts, and alternative routes to listing ('reverse takeovers') are also assessed. Upon completion of the course, students will have developed key insights into a major global funding activity.
Frankfurt, Germany: This elective course aims to teach the fundamental concepts underlying general and advanced analytical tools in credit risk modelling, credit rating methodology, counterparty credit risk and credit derivatives. Course contents will also relate to latest market regulations and capital requirements. London, United Kingdom: This 5-day study trip in London complements the MSc programme in Finance with seminars and activities at Imperial College. Students will explore the UK economy and financial markets through lectures, site visits, and meetings with finance, fintech, academic, and government representatives. The course bridges classroom learning with real-world applications.
The focus of this course is on the valuation of fixed-income securities and investment techniques in managing fixed income portfolios. Topics include the term structures of interest rates and forward rates; bond pricing, interest rate and reinvestment risks; risk and hedging in bond portfolio management; duration, convexity and portfolio immunization; corporate bonds, emerging-market bonds and default risks; fixed-income securities with embedded options; callable and convertible bonds, mortgage-backed securities; interest rate derivatives; and interest rate futures, swaps, caps and floors.
This course intends to offer students insight into the implementation of financial theory in the practical trading environment. The main strategies for trading financial instruments will be discussed and the students are to apply their knowledge in practical trading sessions.
This course is designed to introduce students already familiar with the economics of securities markets to the law that governs those markets and the transactions in securities they are designed to execute. The course will closely examine actual legal documentation to show its basic structure and purpose. Further, the course will analyze basic legal principles that shape the law and regulation of corporate finance and securities markets, such as legal strategies to overcome asymmetric information, moral hazard and agency problems, as well as techniques to secure prior claims against assets held in the possession of another entity in any bankruptcy proceedings regarding that entity.
The course introduces mathematical modeling concepts and techniques for financial applications. The classic Black-Scholes Model, local volatility, stochastic volatility are critically evaluated. Interest rate models such as Ho-Lee, Hull-White, Heath-Jarrow-Morton (HJM), Libor Market Model are discussed. Cross currency models for foreign exchanges and modeling for commodity are also covered.
The objective of this course is to integrate various subfields of finance for the formulation of monetary policies. The focus is on the application of financial theory to real-world business decisions, financing and restructuring strategies. The course also emphasizes the impact of institutional constraints on managers' financial decision-making and the implementation of financial strategies.
The course introduces probability, stochastic processes, and statistics required for quantitative finance study. Topics include: time value of money, probability, probability distributions and descriptive statistics, sampling and estimation, hypothesis testing, correlation analysis and regression, time series analysis, simulation analysis and technical analysis.
The course will outline the mechanisms of venture capital (VC) investment and the financing of startups and early growth firms. As VC is a subset of private equity, the course will discuss the management, legal and marketing issues of private equity in general. Topics include raising and structuring private equity funds, the limited partnership, and fund strategies. The course will consider the investment decision of institutional investors in private equity and how funds are structured to meet their needs. It will discuss post-subscription private equity fund management - deal screening, evaluation, negotiation, disbursement, investee management, valuation and exit - and will consider specifically the perspective of the VC investee company - alternative sources of financing, how to approach a VC to maximize chances of success, and governance issues in VC financed firms. The course may also delve into public versus private equity buyouts, valuation of buyouts and corporate restructuring under private equity.
Students taking the topical courses will dive into the latest and most advanced topics in finance subfields, as selected by the expert finance faculty. By staying up-to-date with the latest trends and issues in finance, students will be well-equipped to excel in their careers in this professional field. Topical Course:

  • Business Communication and Negotiation

  • Corporate Governance

  • Entrepreneurial Finance

  • ESG and Sustainable Finance

  • Financial Data Analysis Using Bloomberg and Workspace

  • Fintech Applications, Digital Assets & Web 3.0

  • Hedge Fund*

  • Single Family Office Management

  • Value Investment*

Traditional finance seeks to understand financial markets assuming that investors are "rational". Rationality means that investors can access to and have the ability to process information correctly and that competition between investors ensures that securities are correctly priced to reflect all available information. That is, the market is efficient. However, recent studies suggest that markets are not efficient and that investors are not fully rational. For example, particular trading strategies based on past information such as past returns and accounting information are able to outperform the markets. In addition, studies find that investors are committed to certain heuristic-based biases and frame dependent such as overconfidence, optimism, self-attribution, illusion of control, loss aversion, representativeness heuristic, anchoring, availability, ambiguity aversion, hindsight, flaming, etc. Behavioral biases combined with limits to arbitrage may result in securities not to be correctly priced. This course will help students understand how individuals’ attitudes and behaviors affect their financial decisions and financial markets. In the practical side, this course will emphasize the role of investors’ psychological biases on various types of market inefficiency and show how sophisticated investors can take advantage of these behavioral biases. This is a research-oriented course with emphasis on both psychology theories and data analysis skills.
This course provides an overview of the capital markets and financing strategies for corporations. It covers equity capital markets, fixed income markets, and loans. Specific topics include analyzing IPO documents, secondary offerings, equity valuation, convertible bonds and other hybrid instruments, debt capital markets, analyzing bond documents, loan revolvers, working capital management, and syndicated loans.
The course enables students to gain comprehensive knowledge and practical insights in the latest trends of corporate finance and investment management. The cases discussed in the course cover important topics including finance resource allocation, mergers and acquisitions, funds investment and trading strategies. Moreover, the group project, being the key component in this course, should enable students to integrate theories in corporate finance and investment to empirical topics in capital budgeting, asset management and trading strategy.
The purpose of this course is to help students study and understand the financial market and financial institutions in China. The history and current issues of China financial system will be addressed.
This course is designed to examine and analyse bank's major functions and the principles underlying modern banking operations and practices. It covers issues including bank's payment operations and their roles, the general principles of bank lending, the range of credit services available and the principles of taking securities, trade finance, credit cards and some other major banking services. Various bank risk management methods are conducted in a simulated environment.
This course delves into the major issues surrounding equity fund-raising in China. The principal focus is on initial public offerings (IPOs) and seasoned issues in Chinese stocks (including H- share, 'red-chip', private Chinese and 'China-concept' issuers) listed in Hong Kong. The characteristics of the various corporate entities and the nature of the funding methods utilized are critically explored. Case analysis of major IPO and seasoned equity issues (rights issues and private placings) features to amplify these objectives. Shanghai A- share listings are also considered as well as the various reforms to its constituent issuers. These include the transformation of non-tradable stock holdings into tradable form, the development of QFII and QDII schemes and the key reforms to China's leading state-owned commercial banks. Finally, dual listings, such as American depositary receipts, and alternative routes to listing ('reverse takeovers') are also assessed. Upon completion of the course, students will have developed key insights into a major global funding activity.
This elective course aims to teach the fundamental concepts underlying general and advanced analytical tools in credit risk modelling, credit rating methodology, counterparty credit risk and credit derivatives. Course contents will also relate to latest market regulations and capital requirements.
Frankfurt, Germany: This elective course aims to teach the fundamental concepts underlying general and advanced analytical tools in credit risk modelling, credit rating methodology, counterparty credit risk and credit derivatives. Course contents will also relate to latest market regulations and capital requirements. London, United Kingdom: This 5-day study trip in London complements the MSc programme in Finance with seminars and activities at Imperial College. Students will explore the UK economy and financial markets through lectures, site visits, and meetings with finance, fintech, academic, and government representatives. The course bridges classroom learning with real-world applications.
This course covers econometrics used in empirical finance. Topics will include univariate and multivariate linear models, parametric and nonparametric models of volatility, evaluation of capital asset pricing model, arbitrage pricing theory, risk management models. The course makes extensive use of computer-based applications to draw inferences.
The focus of this course is on the valuation of fixed-income securities and investment techniques in managing fixed income portfolios. Topics include the term structures of interest rates and forward rates; bond pricing, interest rate and reinvestment risks; risk and hedging in bond portfolio management; duration, convexity and portfolio immunization; corporate bonds, emerging-market bonds and default risks; fixed-income securities with embedded options; callable and convertible bonds, mortgage-backed securities; interest rate derivatives; and interest rate futures, swaps, caps and floors.
This course will cover exchange rate theory, exchange rate policy, and statistical work on exchange rate determination. It will also touch on important topics of the day, such as China's exchange rate regime, global imbalances, and the problems of the Eurozone.
This course intends to offer students insight into the implementation of financial theory in the practical trading environment. The main strategies for trading financial instruments will be discussed and the students are to apply their knowledge in practical trading sessions.
In recent years, an increasing number of investors around the world chase not only financial returns but also social returns. The asset management industry has actively engaged in impact investment. Firm managers can deliver these social returns by doing better in ESG (Environmental, Social, and Governance). This course focuses on the current trend in sustainable finance and impact investment, their influence on firms and society, and the challenges encountered by both firms and the financial industry.
This course is designed to introduce students already familiar with the economics of securities markets to the law that governs those markets and the transactions in securities they are designed to execute. The course will closely examine actual legal documentation to show its basic structure and purpose. Further, the course will analyze basic legal principles that shape the law and regulation of corporate finance and securities markets, such as legal strategies to overcome asymmetric information, moral hazard and agency problems, as well as techniques to secure prior claims against assets held in the possession of another entity in any bankruptcy proceedings regarding that entity.
This course provides an overview of the basic tools in machine learning, with emphases on applications in finance. Machine learning plays an important role in FinTech. Individual investors and financial institutions who are able to leverage these new tools and technology will have a significant advantage. This course discusses these new opportunities and challenges. It seeks to equip students with these highly coveted skills in the market. We will cover topics including: cluster analysis, decision trees, support vector machines, flexible discriminants, and neural networks, accompanied with the corresponding financial applications. Real world finance problems often deal with large datasets, traditionally with historical price and return as well as data on financial statements. More recently, other databases like consumer credit and online data (e.g., Google search, news media, satellite images, etc.) are also becoming more important for financial analysts. Dealing with such large datasets require tools to manipulate them, and we will introduce the use of Python and detailed instructions on how to perform analysis on large datasets. Once students become comfortable with the use of Python and manipulation of large sets, we will introduce students to tools in machine learning, which plays an important role in our financial market, from approving loans, managing portfolios, to assessing risks. Advances in machine learning technology have enabled financial institutions to explore the applications of artificial intelligence in areas like customer service, personal finance, wealth management, and risk management.
The course introduces mathematical modeling concepts and techniques for financial applications. The classic Black-Scholes Model, local volatility, stochastic volatility are critically evaluated. Interest rate models such as Ho-Lee, Hull-White, Heath-Jarrow-Morton (HJM), Libor Market Model are discussed. Cross currency models for foreign exchanges and modeling for commodity are also covered.
This course integrates areas within financial management and investments to analyse merger and acquisition (takeover) markets. The class will be conducted using both lectures and presentations. The topics covered in lectures include an overview of takeover markets, legal aspects and restrictions, capital budgeting techniques, the efficient market hypothesis, the market model and computation of abnormal returns, the dividend discount model and the free cash flow model. The topics covered in presentations will include US and Hong Kong cases of mergers, tender offers and leveraged buyouts. Amongst other things, the efficient market hypothesis is applied to analyse the stock market response to takeover announcement as well as a range of other issues including: welfare gains/losses associated with takeover, the cost of capital for due acquiror and the intrinsic value of the target (using dividend discount and free cash flow models).
The objective of this course is to integrate various subfields of finance for the formulation of monetary policies. The focus is on the application of financial theory to real-world business decisions, financing and restructuring strategies. The course also emphasizes the impact of institutional constraints on managers' financial decision-making and the implementation of financial strategies.
Python has rapidly become a powerful and versatile programming language widely used in the financial industry. This course is designed to provide students with the essential skills and knowledge to leverage Python for various financial applications. Throughout this course, students will gain hands-on experience with Python libraries and packages specifically tailored for financial analysis, modeling, and data manipulation. They will learn how to implement quantitative finance techniques, perform data analysis, build financial models, and automate repetitive tasks using Python. Key topics covered in this course include: 1) Overview of Python and its applications in the financial industry; 2) Managing Financial Data; 3) Implementing statistical analysis techniques for financial data; and 4) Financial Modeling and Simulation. This course will prepare students for advanced courses such as Algorithmic Trading Strategies and Machine Learning in Finance.
The course introduces probability, stochastic processes, and statistics required for quantitative finance study. Topics include: time value of money, probability, probability distributions and descriptive statistics, sampling and estimation, hypothesis testing, correlation analysis and regression, time series analysis, simulation analysis and technical analysis.
This course explores quantitative methods in credit risk management and examines market risks, operational risks, integrated risk management, and risk management information technology. Basic Value-at-Risk (VaR) methodologies such as historical simulation, parametric VaR, delta-gamma approximation and Monte-Carlo simulation will be covered. Defaults of bank loans, corporate bonds, and/or counter-parties are addressed. Reduced-form models and structure models are discussed, with application of CreditmetricsTM and KMV methodologies.
The course will outline the mechanisms of venture capital (VC) investment and the financing of startups and early growth firms. As VC is a subset of private equity, the course will discuss the management, legal and marketing issues of private equity in general. Topics include raising and structuring private equity funds, the limited partnership, and fund strategies. The course will consider the investment decision of institutional investors in private equity and how funds are structured to meet their needs. It will discuss post-subscription private equity fund management - deal screening, evaluation, negotiation, disbursement, investee management, valuation and exit - and will consider specifically the perspective of the VC investee company - alternative sources of financing, how to approach a VC to maximize chances of success, and governance issues in VC financed firms. The course may also delve into public versus private equity buyouts, valuation of buyouts and corporate restructuring under private equity.
This course aims to provide students with a management level understanding of the history and development of the fast-growing wealth management business in Hong Kong as well as Asia. Key topics to be discussed include the regulatory framework for wealth management industry, a review of the relationship between macro-economic cycle and wealth management product development and product shelf management strategies, roles and responsibilities of the various players within the wealth management industry value chain to fulfill various stages of individual customers' financial needs as well as the latest development of Hong Kong as one of the Family Office Hub in Asia under Private Wealth business, business proposition including sales and marketing strategies, and the technology and operational infrastructure required to support the business process and to deliver exceptional customer experience. Moreover, this course will provide students with the opportunity to examine and to develop their understanding of the cause, development, and impact of some of the most significant financial crises during the last three decades and to develop an appreciation and understanding of the impact to customers and the wealth management business. Topics to be discussed include the Wall Street Crash in 1929 followed by the Great Depression, the Black Monday in 1987, Asian Financial Crisis in 1997, Dot-Com Bubble in 2000, Subprime Mortgage Crisis in 2007, and Covid in 2019. We will first examine the inter-relationship between the development of political economy, technology and financial market. Then, on the impact in the financial regulatory framework, in the wealth management industry, and to the individual investors.
Students taking the topical courses will dive into the latest and most advanced topics in finance subfields, as selected by the expert finance faculty. By staying up-to-date with the latest trends and issues in finance, students will be well-equipped to excel in their careers in this professional field. Topical Course:
  • Business Communication and Negotiation
  • Corporate Governance
  • Entrepreneurial Finance
  • ESG and Sustainable Finance
  • Financial Data Analysis Using Bloomberg and Workspace
  • Fintech Applications, Digital Assets & Web 3.0
  • Hedge Fund*
  • Single Family Office Management
  • Value Investment*

*=1.5-credit courses
**= Elective courses for Part-Time Students only

Students may choose up to 3 credits of course(s) offered by MBA, MAcc, other MSc programmes and faculty-based courses (BAMS6001) of the Faculty of Business Administration counting towards elective course requirement, subject to approval of Programme Directors concerned. Students are not allowed to take more than one field study trip.

Navigate Your Academic Journey

You may be exempt from taking a course if you have completed an equivalent course in your postgraduate studies and achieved a grade of B or above. You will need to provide supporting documents, such as academic transcripts and a course syllabus. If you are exempt from certain courses, you will need to replace the credits with elective courses.

Granting exemptions is at the discretion of the programme and the University.

Your performance is assessed based on exams and assignments, according to CUHK’s grading system.

To graduate, you must complete the prescribed coursework and achieve a cumulative grade point average (GPA) of at least 2.50.

Students who obtain a cumulative GPA below 2.50 in the term assessment will be put on academic probation. If the probation is not lifted after two consecutive terms, the student will be required to discontinue his or her studies.

Students who receive a grade D+ or below in a course must repeat it or take an approved substitute course.

Students in the top 20 percentile who achieve a cumulative GPA of 3.60 or above are eligible for the Dean’s List. These students will be issued a Dean’s List Certificate, and the honour will be recorded on their academic transcripts.

Enhancing Academic Life
Study Abroad Opportunities

The Exchange Programme offers an opportunity for you to study at prestigious business schools around the world and gain a different perspective on industry issues while building a global network for your future career.

Overseas Study Trips

You can take certain courses at overseas institutions to gain broader experience and acquire new skills.

Study Support

To help students reinforce their understanding of a subject and apply theories in solving real-life problems, we have a well-established tutorial system. These are typically in small groups which allow you to interact more with your tutors. It is best to bring questions with you so you can gain maximum benefit from these sessions.

Mentorship Programme

This programme helps you establish a mentoring relationship with alumni, providing a platform for you to communicate, exchange ideas and share on and off campus experiences. We invite our alumni and final year students to serve as mentors and provide coaching and guidance to help you during your studies at CUHK.

Others

We organise many informal experiential learning activities, such as career talks, company visits, alumni sharing sessions, executive talks, networking events and festival celebrations to make the most of university life.

A Strong Foundation for a Successful Future

The MSc Programme in Finance provides a solid foundation for those pursuing careers in investment banking, commercial and corporate banking, asset management, regulatory bodies, consulting, financial services, accounting and general management.

Our graduates are equipped with skills to take up a wide range of roles in these industries, such as portfolio analysis, credit analysis, risk modelling, structured finance, sales and trading, operations and more. They are also well suited to roles as graduate or management trainees in general business.

The CFA Institute has officially recognised the MSc Programme in Finance as an Affiliate University, giving assurance that our curriculum is closely tied to professional practice and is well suited for preparing students for CFA examinations and ultimately employment in the finance and investment industry.

We strive to help all students discover their potential and give them the aspiration and means to fulfil it.

Personalised Career Support

To help you prepare for a rich and rewarding career, we invest significant resources in career support. We arrange practical workshops on all aspects of the job hunting and application process, as well as comprehensive and personalised career advice and coaching, such as one-to-one or small group mock interviews.

We also organise experience sharing and networking sessions with alumni and industry professionals

Where Our Graduates Work

Our graduates are in high demand, and our careers office works closely with an impressive list of employers in Hong Kong and overseas. On average, over 90% of graduates from the past few years have found employment within 3 months of graduation. Almost 80% of these alumni work in the banking and finance industry, with about 40% based in Hong Kong.

  • Accenture
  • Agricultural Bank of China
  • Alibaba
  • Allianz Global Investors
  • Bain & Company
  • Bank of America
  • Bank of China
  • Bank of East Asia
  • Barings
  • Bloomberg L.P.
  • BNP Paribas
  • CATL
  • Chery Automobile
  • China Construction Bank
  • China Development Bank
  • China Galaxy Securities
  • China Huadian
  • China Huarong
  • China Merchants Bank
  • China Resources Holdings
  • China Securities International
  • CICC
  • CITIC Bank
  • CITIC Securities International
  • Citigroup
  • Crédit Agricole ClB
  • CSOP Asset Management
  • Daiwa Institute
  • DBS Bank
  • Deloitte
  • Deutsche Bank
  • E Fund Management
  • Ernst & Young
  • Fidelity International
  • Fosun Hani Securities
  • FOTIC
  • FTl Consulting
  • GF Securities
  • Goldman Sachs Asia
  • Guosen Securities
  • Guotai Junan Securities
  • Haitong International
  • Hang Seng Bank
  • HKEX
  • HSBC
  • Huatai Financial Holdings
  • Huawei
  • ICBC
  • Jefferies
  • JP Morgan
  • KPMG
  • Lazard Asset Management
  • Macquarie Capital
  • Morgan Stanley
  • Natixis
  • Nomura International
  • PIMCO
  • PwC
  • Royal Bank of Canada
  • Schroders
  • Shenyin Wanguo Securities
  • Shenzhen Stock Exchange
  • Société Générale
  • Standard Chartered Bank
  • Tencent
  • UBS
  • Wells Fargo
  • Willis Towers Watson
  • Zhongtai Securities

Management Trainee (Graduate Programme), Corporate Banking, China Merchants Bank, Beijing

My journey at CUHK’s MScFIN truly ignited my passion for the financial world! The rigorous curriculum, coupled with access to advanced financial databases and the Finance Trading Lab, equipped me with theoretical knowledge and practical skills essential for navigating the dynamic financial industry. The comprehensive career support system, including career talks, mock interviews, and alumni connections, not only prepared me for the professional world but also enriched my life with lifelong friendships and unforgettable experiences such as the enlightening exchange at LBS and insightful field trips. This transformative adventure has been instrumental in shaping my career and personal growth, setting a solid foundation for my future endeavours.

Ines REN
MScFIN 2024

Portfolio Manager, Associate Director, Principal Investment Management, Guotai Junan International, Hong Kong Admission Scholarship Awardee, Distinguished Academic Performance Scholarship

The MScFIN was a life-changing experience for me. It empowered me with the knowledge, positive attitude, and connections essential for advancing my career. As a student with prior working experience, I found the courses and tutorials extremely practical in the financial world. The professors, tutors and alumni are great mentors who provide excellent guidance for me. They are also wonderful industry resources with strong connections that helped me a lot to further my career development. Both academic and hands-on training gave me a strong competitive edge in the industry. The intense project experience also helped me gain valuable and long-lasting friendships. Choosing MScFIN was the best decision I made for my career!

Bob HU
MScFIN 2020

Portfolio Associate, PIMCO, Japan

As a law school graduate, this programme has definitely provided me with everything I need to break into the finance industry. Starting from the fundamentals all the way to the advanced courses in the last term, this programme is well structured and offers all sorts of help to better prepare you for the intensive learning schedule. I like the variety of teaching methods and the teamwork-centric style of arrangement throughout the entire programme. It equips every student with solid presentation skills, and we learn how to cooperate with people from different backgrounds. Another thing I like about this programme is that the majority of the courses are theoretical and practical at the same time. Professors and tutors will relate teaching materials with current market events, which is very helpful for learning, job hunting and professional career building perspectives. I am glad that I have studied this programme and met all the future young talents this year.

Jason LIU
MScFIN 2020

Executive Director, Global Banking & Markets, Goldman Sachs, Hong Kong

The MScFIN proved to be a pivotal investment in shaping my future. The intensive yet remarkable one-year CUHK MScFIN programme pushed me beyond my comfort zone while opening more doors for my life and career choices. It equipped me with rich financial knowledge and transferrable skills from professors and industry veteran lecturers. Insightful career advice and mock interviews were useful in helping me find my career direction and securing job offers. The programme fostered strong and deep relationships with classmates and alumni networks, which all have enduring impact on how I make decisions in an evolving business landscape.

Ri XIA
MScFIN 2016

Credit Officer, Global Markets Credit, Bank of America

Studying at CUHK MScFIN is the most life-changing experience for me. Through the one-year programme, I am not only equipped with solid financial knowledge, but also received excellent career support and built up my network in the industry. Credit to MScFIN, I am able to receive the entrance ticket to my dream job and further develop my career.

Sally YANG
MScFIN 2015

China Business Director, Investment Management (Hong Kong)

The CUHK MScFIN is an intensive training for anyone who has an ambition to achieve in the ever-changing financial world. I wasn’t prepared for the fierce competition before joining this programme. Nevertheless, our career officer, industry veteran lecturers, professors, tutors, and alumni mentors quickly and completely equipped me with the right attitude, frontier knowledge, and core skill set to find the gate which opened up the career path that I’m honoured to contribute to in the long-term. I must admit that the one-year MScFIN had been extremely hard and challenging, but the gains were so worth the pains.

Grace Gao
MScFIN 2014
Entry Requirements

You should have:

  • graduated from a recognised university and obtained a bachelor’s degree, normally with honours not lower than Second Class or achieving an average grade of not lower than “B”; or
  • completed a course of study in a tertiary educational institution and obtained professional or similar qualifications equivalent to a bachelor’s degree.

GMAT / GRE scores are not mandatory, but a good GMAT / GRE score will strengthen the application.

Please also see the English Language Requirements for Admission.

You should have:

  • graduated from a recognized university and obtained a bachelor’s degree, normally with honours not lower than Second Class or achieving an average grade of not lower than “B”; or
  • completed a course of study in a tertiary educational institution and obtained professional or similar qualifications equivalent to a bachelor’s degree.
  • Preferably 2 years of post-qualification full-time work experience.

Although GMAT / GRE scores are not required, they are highly encouraged.

Please also see the English Language Requirements for Admission.

  • Please apply directly to the MScFin programme via the Online Admission System.
  • If your application is not selected in one round, we will reassess it in subsequent rounds until admissions close.
  • If your application is successful, we will send you an offer letter via email. If you do not hear from us approximately 2 months after the last application deadline, you may consider your application unsuccessful. We do not accept email or telephone enquiries about admission results.

2027-28 Admission

Admission Deadline

Full-time
31 Mar 2027

Part-time
30 Apr 2027


Application will be processed on a rolling basis until all places fill up. Therefore, early applications are strongly encouraged. The application deadline may be closed early if places are no longer available. The subsequent applications received may not be considered.

Contact Us

Room 1231, 12/F, Cheng Yu Tung Building,
12 Chak Cheung Street,
Shatin, N.T., Hong Kong
mscfinft@cuhk.edu.hk (Full-time programme)
+852 3943 0504 / 3943 3734 (Full-time programme)
mscfinpt@cuhk.edu.hk (Part-time programme)
+852 3943 3734 (Part-time programme)

 

Apply Now
Fees

Application Fee

You are required to pay a non-refundable application fee of HK$500, which can be paid by credit card through the Online Application System.

Tuition Fees

The tuition fees for the academic year 2027/28 are:

Tuition can be paid in 3 instalments:

  1. HK$160,000 (deposit) within 2 weeks of confirming your offer
  2. HK$150,000 at the beginning of the 2nd trimester
  3. HK$150,000 at the beginning of the 3rd trimester
  1. HK$65,000 (deposit) within 2 weeks of confirming your offer
  2. HK$60,000 at the beginning of the 2nd trimester
  3. HK$60,000 at the beginning of the 3rd trimester
  4. HK$60,000 at the beginning of the 1st trimester of the 2nd year
  5. HK$60,000 at the beginning of the 2nd trimester of the 2nd year
  6. HK$60,000 at the beginning of the 3rd trimester of the 2nd year
Financial Aid

Scholarships

We award scholarships to recognise academic excellence.

Our decisions with respect to awarding scholarships are final and no appeal or further discussion will be entered into with any person.

Merit-based scholarship, STEM scholarship, Bank of China – CUHK International Scholarship and Hong Kong Stock Exchange Scholarship are awarded to applicants in recognition of their academic excellence. One applicant may receive a combination of multiple scholarships, covering up to 100% of the total tuition fee.

This scholarship is awarded to the top 13 full-time students who have completed their studies within the normative period of study, i.e. 1 year, and who have achieved a final cumulative GPA of 3.60 or more for the academic year.

  • 1st Class Scholarship: HK$60,000
  • 2nd Class Scholarship: HK$40,000
  • 3rd Class Scholarship: HK$20,000

All new students of the part-time programme are eligible for this scholarship if they have taken a minimum of 15 credits in the first academic year immediately following their admission, and have achieved a minimum cumulative GPA of 3.60 by the end of the first year.

  • 1st Scholarship: HK$50,000
  • 2nd Scholarship: HK$30,000
  • 3rd Scholarship: HK$20,000

All final year students of the part-time programme are eligible for this scholarship if they have completed their studies within the maximum period of study and have achieved a minimum cumulative GPA of 3.60 by the end of the academic year.

  • 1st Scholarship: HK$100,000
  • 2nd Scholarship: HK$60,000
  • 3rd Scholarship: HK$40,000

Continuing Education Fund (CEF)

Tuition fees for the MSc in Finance Programme (both full-time and part-time) are reimbursable for CEF purposes. If you are eligible, you may be reimbursed up to HK$20,000 once you successfully complete the programme.

Name of Institution: The Chinese University of Hong Kong
CEF Institution Code: 002
CEF Course Title: Master of Science Programme in Finance
CEF Course Code: 33M117637

Government’s Extended Non-means-tested Loan Scheme (ENLS)

Successful applicants who have right of abode in Hong Kong or have lived in Hong Kong continuously for three complete years immediately prior to the start of their year of study may apply for the ENLS. The scheme offers loans up to the full programme fee amount.

For further details, please refer to the Government Student Finance Office website or call the 24-hour hotline on +852 2802 2345 / 2150 6223.

Government Student Finance Office website

How to Apply

For further details about entry requirements, visas and the online application process, please go to the apply page.

Apply Now
Message from the Programme Director

It is my pleasure to welcome you to the Master of Science in Finance programme at CUHK Business School — the first of its kind in Hong Kong. Since our Part-time Programme was established in 1996, followed by the Full-time Programme in 2012, we have built nearly three decades of excellence in finance education and one of the largest alumni networks among finance master’s programmes in the region, offering our students unparalleled connections and career support.

Our programme provides rigorous training in financial theory and quantitative techniques through a flexible curriculum you can tailor to your aspirations. Guided by an Advisory Committee of leaders from world-renowned financial institutions, and enriched by global exchange opportunities, we ensure our students gain cutting-edge knowledge and a truly international perspective. Ranked No. 21 globally by the Financial Times in 2025, with over 90% of graduates employed within three months of graduation, I warmly invite you to join our community and take the next step in your finance career.

Professor JIANG Wenxi
Programme Director, MSc in Finance
Our Faculty
Sort by Name (A-Z)
Sort by Name (Z-A)
Jiang, Griffin Wenxi
江文熙
Professor
Director, MSc Programme in Finance
Cen, Ling
岑岭
Associate Professor
Chau, Wilton Chi-wai
周志偉
Adjunct Professor
Cheng, Joseph Wui-wing
鄭會榮
Adjunct Associate Professor
Chew, Seen-Meng
趙善銘
Associate Professor of Practice in Finance
Chong Tai Leung, Terence
莊太量
Associate Professor
FAN, Wenzhong
范文仲
Adjunct Professor
Gao, Zhenyu
高振宇
Associate Professor
Guan, Fiona Yanling
官艷玲
Senior Lecturer
Hu, Fred Zuliu
胡祖六
Adjunct Professor
Huang, Guobo
黃國波
Professor of Practice in Finance (by courtesy)
Huang, Robin Hui
黃輝
Courtesy Joint Professor
Kuong, John Chi-fong
鄺梓楓
Associate Professor
Lam, Full-yet Eric Campbell
林富一
Senior Lecturer
Law, Keith Ka-fai
羅家輝
Adjunct Associate Professor
Law, Kody
羅其龍
Assistant Professor
Jiang, Griffin Wenxi
江文熙
Professor
Director, MSc Programme in Finance
Zhang, Yinglei
張英蕾
Associate Professor
Zhang, Hua
張華
Professor
Xu, Yeren
徐叶潤
Adjunct Professor
Xie, Wensi
解文斯
Associate Professor
Xiao, Yizhou
肖弋舟
Associate Professor
Whelan, Paul
Associate Professor
Thomas, Hugh
譚安厚
Adjunct Associate Professor
Tang, Nai-pan
鄧鼐斌
Professor of Practice/Professional Consultant
Su, Yang
蘇陽
Assistant Professor
SHEN, Jian Guang
沈建光
Adjunct Professor
Ng, Sim-kheng
黃森琼
Adjunct Professor
Ng, Angel Yin-yee
伍燕儀
Adjunct Professor
Mok, Edwin Ka-ming
莫家明
Lecturer
Miu, Thomas
繆漢傑
Adjunct Professor
Luo, Dengpan
羅登攀
Adjunct Professor
Practitioner

Lee, Kam Wing Bruno
Founder, BIG Family Limited
Independent Non-Executive Director, WeLab Bank Limited
Convenor, Investor and Financial Education Council (IFEC)

Liu, Hongqi
Assistant Professor, School of Management and Economics, The Chinese University of Hong Kong, Shenzhen

Mu, Bin
Senior Advisor, Citadel Securities

Tse, Florence
Country General Manager, HK and Head of HR for Philips

Chan, Wai Hing Annie
Managing Director, Mazars Corporate Recovery & Forensic Services Limited

Cotard, Olivier
Founder and Managing Director, 3C Ventures Ltd.

Chang, Hwa Ping
CEO, Eureka FinTech Limited

Hsu, Shirley
CEO, Grace Capital Group Limited, Hong Kong

Ho, Stan
Chairman, ARC Ratings (Asia Pacific) Limited

Spencer, Michael
Founder, Temple Street Advisors

Fernandez, David
Founding Partner, Anahata Capital Management

Marshall, Jen
Executive Director of Centre for Family Business and Centre for Entrepreneurship

Sun, Pengfei
Chief Risk Officer, Valuable Capital Group, Hong Kong

 

*All contents are subject to change.

News and Events
CUHK Business School ranks 21st worldwide in the Financial Times Masters in Finance Ranking 2026
Thai master’s student at CUHK Business School awarded “The BOCHK–CUHK International Scholarship”
Three brothers, one MScFIN: Where complementary strengths become shared success
Traversing continents for a pluralistic future
ASEAN graduates chart new horizons in Hong Kong
Setting foot in Hong Kong’s thriving business hub
CUHK Master's