Accounting & FinanceInvestment Management
Postgraduate Diploma in Applied Financial Engineering
CEF Reimbursable Course (selected modules only)
- Study mode
- Start Date
- 04 Sep 2020 (Fri)
- Next intake(s)
- 1 year to 2 years
- Course Fee
- Module fee: $3900 (* course fees are subject to change without prior notice)
2 installment-:1st- five modules: $19500 and 2nd- six modules: $23400
The Postgraduate Diploma in Investment Management and Financial Intelligence...
Who would benefit from Postgradudate Diploma in Applied Financial Engineering:
1) one who already has basic knowledge of financial products;
2) one who has strong mathematics/statistics background;
3) one who does NOT want the pure theoretical nature of a Master degree;
4) one who wants to learn theories and real-life applications in the same course.
Check out our tutors' bio below!
One of the STRONGEST teaching teams in Applied Financial Engineering.
Financial engineering requires the application of mathematical methods and information technology to analyze financial problems quantitatively. Financial engineers are responsible for creating structured financial products, building mathematical risk models as well as developing algorithmic trading system which facilitate effective investment decision making, managing financial and investment risk with quantitative modeling and computing technology. This programme is designed for those who plan to pave their career path as a financial engineer or quantitative analyst. The programme is taught by financial and investment practitioners, who are all senior professionals from investment banks or finance industry.
Graduates of this programme have satisfied the Institute of Financial Technologist of Asia (IFTA) requirements for qualification and will be admitted to the CFT programme for the exemption of Level 1.
News about Applied Financial Engineering:
Are fintechs making an impact on treasury functions? by Euromoney
Wall Street's 'witches brew of hockey sticks and financial engineering' by Business Insider
Here's why ad tech is incorporating financial trading technology by Business Insider
金融科技2.0 人才需具「ABCD」技能 《香港經濟日報》
The programme aims to train students to establish financial and trading systems in a logical and scientific way; to deliver the financial and economic knowledge to students and to equip them with financial quantitative analysis capability. It will enable students to manage actual trading operations proficiently and become professional investment traders. After completing the programme, students can enhance their ability to analyze financial and economic issues; to construct hedge fund trading strategies and to calculate the pricing of financial derivatives. Besides, students can set up risk management policies and deal with complex and volatile financial market environments based on the principles of financial engineering and the derivations of applied mathematics.
The programme is taught by practitioners of the finance industry, who are all senior professionals from investment banks or finance firms. They include:
- Ms. Agnes Tse, CFA, is adept at analyzing the impacts of politics on global financial markets. With Master’s degrees in Business Administration and International Relations, her specializations are in monetary policies and currency markets, as well as geopolitics and energy markets. Currently the Head of Research of Action Forex, one of the top 10 global forex websites, Agnes previously worked as analyst for China Everbright Asset Management focusing on Greater China equity markets. She was later an advisor on the investment strategies of a mutual fund in Daiwa Asset Management. Agnes has been a guest speaker in universities in Hong Kong and Europe on topics of Hong Kong's political environment and the financial markets, and China's soft power.
- Mr. Alan Cheung, PRM, CQF, has solid experience in fintech in top tier investment banks, versed in architecting low latency, high frequency algorithmic trading systems. He is currently a Quantitative Strategist on the Equities Desk in Bank of America Merrill Lynch. Alan has a Masters in Mathematical & Computational Finance from the University of Oxford after graduating with First Class Honours in Mathematics with Statistics for Finance from Imperial College London.
- Mr. Sunny Leung, is the Director of Chian Everbright Assets Management. He has more than 10 years of experience in securities trading, risk management, quantitative investment, and automated algorithm trading in Hong Kong's financial markets. Mr. Leung has worked in Daiwa Capital Markets and China Everbright Holdings, focusing on trading system design, quantitative investment, derivative arbitrage, risk management system, artificial intelligence related fields of research. Mr. Leung graduated from the State University of New York, Stony Brook, with a bachelor of computer science and completed his master of finance from the University of Hong Kong.
- Dr. Zenki Kwan, FRM, CAIA, CB, is the investment director of a listed company and a family office in Hong Kong, responsible for investment strategy and portfolio management across equities, fixed income, currency, funds and structured products. He has previously worked in J.P. Morgan, UBS, McKinsey and Samsung Securities. In addition to his doctoral degree, Dr. Kwan also holds Master of Finance and Master of Applied Business Research degrees, and completed executive education programs at Harvard Law School and Oxford University Saïd Business School, respectively.
- Dr. Lai Man-Kit, CFA, is currently a professional trainer at Executive Training and Management Consultancy as well as a visiting scholar at HKUST. Dr. Lai has extensive knowledge in teaching adult continuing education. He was also an Assistant Professor at City University from 1994-2000.
- Mr. Ferrix Lau, ACS, ACIS, CFA, FRM, has over 10 years’ teaching experience in business, accounting and finance modules at tertiary level. He teaches Financial Analysis, Financial Risk Management, Quantitative Analysis, Financial Accounting, Cost and Management Accounting as well as Corporate Governance. Moreover, he is a co-author of a Statistics book, Quantitative Analysis for Professional Studies and Projects. Furthermore, he has strong interests in the areas of Statistical Analysis, Quantitative Finance and Machine Intelligence. Mr. Lau has earned a Bachelor's Degree in Social Science from The Chinese University of Hong Kong, major in Economics and minor in Computer Science. Besides, he holds a Master's Degree in Business Administration with Distinction from The University of Hong Kong, concentrating on the theme of Accounting Control and Financial Management.
- Mr. Ken Liu, co-founder and CTO of Datatact Ltd, a startup focus on AI, Machine Learning and Big Data analytics. He is a hands on expert in his specialized area for over 10 years. Prior to Datatact, Ken worked at Citi, HSBC, Goldman Sachs, Deutsche Bank and Credit Suisse as Algo-Trading developer. Ken earned a Master in Computer Science from USC and a Bachelor in Computer Science from University of Warwick.
On completion of the programme, students should be able to
- critically analyze the problems faced by the global financial markets and economic systems, in combination with the financial derivatives and hedging strategies to establish an appropriate investment strategy;
- systematically analyze the structure of derivatives and financial products;
- apply financial models efficiently with various principles and theories in quantitative finance and financial engineering;
- develop financial trading programmes in systematic and computerized methods and formulate trading tactics effectively with rational investment behaviours as well as proper risk management policies;
- set up investment trading systems and portfolios applicable to the actual investment environments with the integration of analysis of financial information, investment tools and strategies, financial engineering models and investment disciplines.
Graduates of the Postgraduate Diploma in Applied Financial Engineering may be able to articulate to Edinburgh Napier University’s Master of Science in International Banking and Finance with two exemptions for Financial Management and Financial Markets, Institutions and Banking.
|Application Code||1835-FN041A||Apply Online Now|
|Apply Online Now|
Days / Time
- Mon, Fri, Sat, Sun, -
All modules are 18 hours face-to-face lectures. Assessments will all be take home assignements or projects, unless indicated below. Student pursuing this programme must successfully complete the following 11 modules.
Module 1 - Global Finance and Economics (Examination based)
- Topics: Analysis of Global Economic Development, International Trade and International Relations, Financial Market System, Financial and Capital Market Policy, Financial Development and Market Operations
Module 2 - Statistical and Quantitative Methods in Finance
Topics: Modern Finance and Mathematical Methods, Application in Statistics, Tools of Quantitative Finance
Module 3 - Derivatives and Investment Strategy (Examination based)
- Topics: Development and operation of the financial derivatives market, Types of financial derivatives, Hedge fund operations, Investment strategy application analysis
Module 4 - Financial Time Series Analysis
- Topics: Two variables and multivariate linear regression analysis, The linearity of Non Linear Model, Simultaneous Equation Models, Time-Series Models
Module 5 - Mathematical Modeling in Finance
- Topics: Introduction to Financial Engineering and Development Motivation, Development of Financial Engineering and Theories in Finance, Financial Derivatives Pricing Model, Other underlying asset options and exotic options
Module 6 - Fixed Income Securities and Interest Rate Models Analysis
- Topics: Bond Interest Rate Risk Analysis, Fixed Income Securities Pricing, Pricing of Mortgage -Backed Bonds and Asset-Backed Bonds and Mortgage Pass Through Securities, Fixed-Income Securities Trading Strategies, Common Interest Rate Models, Application of Interest Rate Models
Module 7 - Techniques and Software in Applied Financial Engineering
- Topics: Monte Carlo, Random Number and Random Variable Generation, Sample Path Construction, The Variance Reduction Techniques, Matlab, Practical Application and Case Studies
Module 8 - Financial Risk Management and Optimization
- Topics: Financial Engineering Applications Overview, Interest Rate Risk, Market Risk, Credit Risk, Portfolio Optimization
Module 9 - Logics and Operations of Algorithmic Trading
- Topics: Introduction to Algorithmic Trading, Operation of Algorithmic Trading, Programme Trading Operations, Risk Control and Financial Management Systems
Module 10 - Behavioural Finance (Examination Based)
- Topics: The Efficient Market Hypothesis and the Challenges, Expected Utility Theory and Its Challenges, Investor’s Cognition , Emotion And Behavioural Bias, Behaviour Investment Strategy
Module 11 - Final Project
- Students must complete the other 10 modules before taking this
i) hold a bachelor’s degree awarded by a recognized institution, with 3 years’ relevant work experience; OR
ii) possess a recognized qualification in financial industry such as CFA, FRM, etc. with 3 years’ relevant work experience;
B) provide evidence of English proficiency (if the degree or equivalent qualification is from an institution where the language of teaching and assessment is not English) such as:
i) an overall band of 6.0 or above with no subtests lower than 5.5 in the IELTS; or
ii) a score of 550 or above in the paper-based TOEFL, or a score of 213 or above in the computer-based TOEFL, or a score of 80 or above in the internet-based TOEFL; or
iii) HKALE Use of English at Grade E or above; or
iv) HKDSE Examination English Language at Level 3 or above; or
v) equivalent qualifications.
Applicants with other professional qualifications and relevant work experience will be considered on individual merit.
HK$150 (Non-refundable)Course Fee
- Module fee: $3900 (* course fees are subject to change without prior notice)
2 installment-:1st- five modules: $19500 and 2nd- six modules: $23400
- The CEF Institution Code of HKU SPACE is 100
|Global Finance and Economics & Statistical and Quantitative Methods in Finance (Modules from Postgraduate Diploma in Applied Financial Engineering)|
|COURSE CODE 23Z10212-0||FEES $7,800||ENQUIRY 2867-8476|
|Techniques and Software in Applied Financial Engineering & Fixed Income Securities and Interest Rate Models Analysis (Modules from Postgraduate Diploma in Applied Financial Engineering)|
|COURSE CODE 23Z10213-9||FEES $7,800||ENQUIRY 2867-8476|
|Financial Time Series Analysis & Behavioural Finance (Modules from Postgraduate Diploma in Applied Financial Engineering)|
|COURSE CODE 23Z10214-7||FEES $7,800||ENQUIRY 2867-8476|
|Mathematical Modeling in Finance & Logics and Operations of Algorithmic Trading (Modules from Postgraduate Diploma in Applied Financial Engineering)|
|COURSE CODE 23Z10215-5||FEES $7,800||ENQUIRY 2867-8476|
|Derivatives and Investment Strategy & Financial Risk Management and Optimization (Modules from Postgraduate Diploma in Applied Financial Engineering)|
|COURSE CODE 23Z10216-3||FEES $7,800||ENQUIRY 2867-8476|
|Continuing Education Fund Reimbursable Course (selected modules only)
Some modules of this course have been included in the list of reimbursable courses under the Continuing Education Fund.
Postgraduate Diploma in Applied Financial Engineering
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