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Accounting & Finance FinTech and Financial Analytics

New Course

Certificate for Module (Managerial Economics and Data Analytics)
證書(單元 : 管理經濟學與數據分析)

Course Code
FN157A
Application Code
2365-FN157A

Credit
6
Study mode
Part-time
Start Date
06 Jan 2026 (Tue)
Next intake(s)
Mar 2026
Duration
30 hours
Language
English
Course Fee
Course Fee: HK$10,500 per programme (* course fees are subject to change without prior notice)
Deadline on 23 Dec 2025 (Tue)
Enquiries
2867 8331 / 2867 8424
2861 0278
Apply Now

Today and Upcoming Events

10
Dec 2025
(Wed)

How to Design a Strong-Stock Analytics Dashboard System (强勢股分析系統)? (10 Dec 2025)

To design a stock price analytics system, we need to do the following: Collect historical stock prices Transform the collected stock price record to an appropriate format for presentation Present the transformed stock price datasets in a useful layout to facilitate analytics and investors’ review.   In this talk (webinar), the speaker will showcase how to design a Strong Stock Analytics Dashboard with a BI approach. This would give you a fresh view of the practical use of data automation and data visualization techniques.   During this webinar, you will explore how a Strong Stock Analytics Dashboard will help you to: review the recent trend of HSI identify the strong stocks and weak stocks based on a specified definition of price momentum compare the ratio between the strong stocks and weak stocks according to your selected price momentum definition do sectoral analysis of the strong / weak stocks   This is an advanced application of data analytics techniques with common financial data.  You will find this webinar inspiring and will give you food for thought on how to make use of learnt data techniques for financial stock investment analysis.   Sample Screenshots below:   Related Programme Links: Certificate for Module (Technical Analysis and Data Analytics for Stock Investment) - HKU SPACE: FinTech and Financial Intelligence, Data Science courses https://hkuspace.hku.hk/prog/exe-cert-in-interpretation-and-visualization-of-business-big-data https://hkuspace.hku.hk/prog/cert-for-module-business-intelligence-and-data-automation

17
Dec 2025
(Wed)

Any correlation between Bitcoin, Ethereum and Gold? And now Stablecoin Explained (17 Dec 2025)

Bitcoin and Ethereum are the most dominant cryptocurrencies, both accumulative account for over 90% in term of market capitalization excluding stablecoin, out of more than two thousands currently in the market. They are both in a form of digital asset that trades via various DEX or centralizated regulated trading platforms. However there are quite many key differences among them though. Bitcoin (BTC) is designed as a monetary storage (some proclaim as alternative of Gold) and medium of transaction and as an alternative to fiat currency. Ethereum (ETH), otherwise, is intended for complex smart contracts or dApps which contribute and act as key infrastructure of the emerging Web3.0 future. In light of recent rapid further innovation (like staking protocol) and adoption, the price of BTC and ETH have been risen more than double in past 12 months and also exhibited a huge volatility. The speaker will give a brief introduction of above crypto with some attention drawn to the relationship and correlation among Bitcoin, Ethereum, Gold, XRP and S&P500 – as shown in below charts. The speaker will then also talk about the latest development and impacts of the recently passed GENIUS Act in U.S. and the Stablecoins Ordinance (Cap. 656) in HK. To say, Stablecoin per se. is NOT referring the price to be fixed or stable, it’s referring to link or collateralize by some tangible asse shifting from no intrinsic value issue. At 10 Oct 2025, one of most selloff in crypto, USDe has experienced flash crash to as low as 0.65 USDEUST, per shown below. Source: Bloomberg   Language: Cantonese (Supplemented with English)

Accept New Applications for Jan 26 intake! There will be practical classes in the computer laboratory. Essential knowledge in managerial economics and data analytics will be introduced. Topics like cost analysis, pricing strategies, market structures, competition, internal organisation, and the global business and economic environment will be covered. Applications of capital budgeting techniques and managerial decision-making tools using computational tools and software for data analytics will be illustrated. Discuss microeconomic analysis from the managerial perspective to make informed economic decisions.

Highlights

The programme is designed to provide students with essential knowledge in managerial economics and data analytics. It assists them in developing an understanding of cost analysis, pricing strategies, market structures, competition, internal organisation, and the global business and economic environment. Students will learn to apply capital budgeting techniques and managerial decision-making tools for analysis, while also gaining practical skills in using computational tools and software for data analytics. Besides, the programme covers microeconomic analysis from the managerial perspective and enables students to make informed economic decisions.

Programme Details

On completion of the programme, students should be able to

  1. examine the concepts of managerial economics and data analytics;
  2. analyse demand, cost and profit, and identify the market structures;
  3. critically evaluate issues related to internal organisation, behavioural economics, and the global business and economic environment;
  4. use capital budgeting techniques to assess projects for investment decision-making; and
  5. apply managerial decision-making tools, as well as computational tools and software to perform data analytics.
Application Code 2365-FN157A Apply Online Now
Apply Online Now

Days / Time
  • Tue, Fri, 7:00pm - 10:00pm
Duration
  • 30 hours per programme
Venue
  • Hong Kong Island Learning Centre
  • Kowloon West Campus
  • Kowloon East Campus

Modules

Course Content :

(1) Introduction to managerial economics and data analytics

  • Nature and scope of managerial economics and microeconomic analysis
  • Types of data analytics
  • Introduction to computational tools and software for data analytics
  • Sources of economic data and data visualisation
  • Managerial economics in the AI era

(2) Demand analysis and forecasting

  • Law of demand and consumption
  • Price, income and cross elasticity
  • Demand estimation, forecasting techniques and predictive analytics

(3) Production and cost analysis

  • Production functions and supply
  • Law of diminishing returns
  • Cost concepts: fixed, variable, marginal, average, and sunk costs
  • Cost analysis and descriptive analytics
  • Short-run and long-run cost curves
  • Economies of scale and scope

(4) Market structures and pricing strategies

  • Market structures: perfect competition, monopoly, monopolistic competition, and oligopoly
  • Pricing under different market conditions
  • Market power and competition strategies
  • Price discrimination and dynamic pricing

(5) Profit analysis and break-even analysis

  • Profit maximisation and output decisions
  • Break-even analysis and contribution margin
  • Risk and uncertainty in decision-making

(6) Internal organisation

  • Decision-making structures
  • Diagnostic analytics
  • Incentive systems and principal-agent problems
  • Coordination, communication, and resource allocation
  • Organisational design and internal markets

(7) Capital budgeting and investment decisions

  • Time value of money
  • Payback period, discounted payment period, net present value, profitability index and internal rate of return
  • Cost of capital and risk assessment
  • Capital rationing, project evaluation and investment decision-making

(8) Game theory and behavioural economics

  • Game theory and Nash equilibrium
  • Prisoner’s dilemma
  • Pricing wars and collusion
  • Behavioural economics in management
  • Bounded rationality and decision-making biases
  • Prospect theory

(9) Global business and economic environment

  • Macroeconomic factors affecting business: GDP, inflation, and interest rates
  • Government policies: taxation, subsidies, and regulations
  • Public goods and externalities
  • Comparative advantage
  • Exchange rates
  • Global economic trends and trade policies
  • Globalisation and geopolitics

(10) Managerial decision-making tools and data analytics

  • Marginal analysis
  • Linear programming
  • Decision trees and risk analysis
  • Cost-benefit analysis
  • Optimisation techniques and prescriptive analytics
  • AI and machine learning for data analytics

Assessment method: In-class Exercise + Group Project Presentation

 

Award

Upon successful completion of the programme, students who have passed the assessments with attendance no less than 70% will be awarded within the HKU system through HKU SPACE a "Certificate for Module (Managerial Economics and Data Analytics)".

Class Details

Timetable

Lecture Date Time
1 6 Jan 26 (Tue) 19:00-22:00
2 9 Jan 26 (Fri)  19:00-22:00
3 13 Jan 26 (Tue) 19:00-22:00
4 16 Jan 26 (Fri) 19:00-22:00
5 20 Jan 26 (Tue) 19:00-22:00
6 23 Jan 26 (Fri) 19:00-22:00
7 27 Jan 26 (Tue) 19:00-22:00
8 30 Jan 26 (Fri) 19:00-22:00
9 3 Feb 26 (Tue) 19:00-22:00
10 6 Feb 26 (Fri) 19:00-22:00

Remarks: Tentative timetable is subject to change, and course commencement is subject to sufficient enrollment numbers 

Progression Path

Teacher Information

Mr Gary Chong

Background

Gary has been a seasoned professional in Hong Kong’s financial ecosystem since 2008, focusing on the banks’ supervision.  His role involves assessing capital adequacy frameworks, validating internal risk models (IRB), and ensuring regulatory compliance in credit risk modelling.  As a key representative in the Basel Committee’s stress-testing and banking book task force group, he functions like a regulatory “enzyme”, facilitating international financial stability.  Beyond his core role, Gary serves as a lecturer on risk management at CUHK.  Gary is also a columnist, analysing economic trends with evolutionary insight.

Previously, he developed IRB models in global banks, acting as a “genetic engineer” of financial risk framework.  He holds an MPhil in Economics and a BSc in Statistics.

Fee

Application Fee

HK$150

Course Fee
  • Course Fee: HK$10,500 per programme (* course fees are subject to change without prior notice)

Entry Requirements

Applicants should hold an Advanced Diploma, a Higher Diploma or an Associate Degree awarded by a recognised institution where the language of teaching and assessment is English. Those with a business, accounting, finance, economics, mathematics, statistics, science, engineering, IT or computer science background would have an advantage.

Applicants with other equivalent qualifications will be considered on individual merit.

**Please upload copy of HKID and proof of degree while applying online

Apply

Online Application Apply Now

Application Form Download Application Form

Enrolment Method
Payment Method
1. Cash, EPS, WeChat Pay Or Alipay

Course fees can be paid by cash, EPS, WeChat Pay or Alipay at any HKU SPACE Enrolment Centres.

2. Cheque Or Bank draft

Course fees can also be paid by crossed cheque or bank draft made payable to “HKU SPACE”. Please specify the programme title(s) for application and applicant’s name. You may either:

  • bring the completed form(s), together with the appropriate course or application fees in the form of a cheque, and any required supporting documents to any of the HKU SPACE enrolment centres;
  • or mail the above documents to any of the HKU SPACE Enrolment Centres, specifying “Course Application” on the envelope. HKU SPACE will not be responsible for any loss of personal information and payment sent by mail.
3. VISA/Mastercard

Applicants may also pay the course fee by VISA or Mastercard, including the “HKU SPACE Mastercard”, at any HKU SPACE enrolment centres. Holders of the HKU SPACE Mastercard can enjoy a 10-month interest-free instalment period for courses with a tuition fee worth a minimum of HK$2,000; however, the course applicant must also be the cardholder himself/herself. For enquiries, please contact our staff at any enrolment centres.

4. Online Payment

Online application / enrolment is offered for most open admission courses (enrolled on first come, first served basis) and selected award-bearing programmes. Application fees and course fees of these programmes/courses can be settled by using "PPS by Internet" (not available via mobile phones), VISA or Mastercard. In addition to the aforesaid online payment channels, new and continuing students of award-bearing programmes with available online service, they may also pay their course fees by Online WeChat Pay, Online Alipay or Faster Payment System (FPS). Please refer to Enrolment Methods - Online Enrolment  for details.

Notes

  • If the programme/course is starting within five working days, application by post is not recommended to avoid any delays. Applicants are advised to enrol in person at HKU SPACE Enrolment Centres and avoid making cheque payment under this circumstance.

  • Fees paid are not refundable except under very exceptional circumstances (e.g. course cancellation due to insufficient enrolment), subject to the School’s discretion. In exceptional cases where a refund is approved, fees paid by cash, EPS, WeChat Pay, Alipay, cheque, FPS or PPS by Internet will be reimbursed by a cheque, and fees paid by credit card will be reimbursed to the credit card account used for payment. 

  • In addition to the published fees, there may be additional costs associated with individual programmes. Please refer to the relevant course brochures or direct any enquiries to the relevant programme team for details.
  • Fees and places on courses cannot be transferrable from one applicant to another. Once accepted onto a course, the student may not change to another course without approval from HKU SPACE. A processing fee of HK$120 will be levied on each approved transfer.
  • HKU SPACE will not be responsible for any loss of payment, receipt, or personal information sent by mail.
  • For payment certification, please submit a completed form, a sufficiently stamped and self-addressed envelope, and a crossed cheque for HK$30 per copy made payable to “HKU SPACE” to any of our enrolment centres.