Main content start
Change.每天多學一點 改變.可大可小

Accounting & Finance FinTech and Financial Analytics

New Course

Certificate for Module (Macroeconomics, Global Finance and Data Analytics)
證書(單元 : 宏觀經濟學、環球金融與數據分析)

Course Code
FN161A
Application Code
2370-FN161A

Credit
6
Study mode
Part-time
Start Date
03 Feb 2026 (Tue)
Next intake(s)
Apr 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 20 Jan 2026 (Tue)
Enquiries
2867 8331 / 2867 8424
2861 0278
Apply Now

Today and Upcoming Events

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 Feb 2026 intake! There will be practical classes in the computer laboratory. Introduce the key concepts of macroeconomics, global finance and data analytics. Topics cover fiscal policies, monetary policies, and macroeconomic analysis. Illustrate the application of computational tools and software for data analytics. Discuss contemporary macroeconomics and global finance issues to assist informed economic and financial decision-making.

Highlights

The programme is designed to provide students with essential knowledge in macroeconomics, global finance and data analytics. It assists students to understand fiscal and monetary policies and perform macroeconomic analysis. It also equips them with practical skills to apply computational tools and software for data analytics. Furthermore, the programme explores contemporary issues in macroeconomics and global finance, preparing students to make informed economic and financial decisions.
 

Programme Details

On completion of the programme, students should be able to

  1. examine key concepts in macroeconomics and data analytics;
  2. explain macroeconomics policies, global finance, international investment and trade;
  3. critically evaluate contemporary issues in macroeconomics and global finance; and
  4. apply computational tools and software to perform data analytics and economic analysis.
Application Code 2370-FN161A 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) Basic macroeconomics and data analytics

  • National income accounting and gross domestic product (GDP)
  • Introduction to computational tools and software for data analytics
  • Economic growth and productivity
  • Inflation, unemployment and Phillips Curve
  • Aggregate demand and aggregate supply
  • Business cycles
  • Techniques for web scraping and data analytics
  • Macroeconomic data and descriptive analytics

(2) Monetary and fiscal policies, and open economy macroeconomics

  • Introduction to computational tools and software for artificial intelligence (AI) and machine learning (ML)
  • Overview of text analytics and natural language processing (NLP) techniques to support macroeconomic analysis
  • Monetary policy and fiscal policy
  • Keynesian economics and demand-side policies
  • Monetarism and Friedman’s Quantity Theory of Money
  • Supply-side economics: tax cuts and deregulation
  • Consumption function and investment, and economic fluctuations
  • Counter-revolution in monetary theory
  • Exchange rate regimes and purchasing power parity (PPP)
  • International capital flows and balance of payments dynamics
  • Predictive analytics and sentiment analysis in open economy macroeconomics

(3) Global finance, international investment and trade

  • International monetary system
  • Foreign exchange markets (Forex) and currency exchange mechanisms
  • Interest rate parity (IRP) and covered/uncovered interest arbitrage
  • Global financial stability
  • International investment, portfolio diversification and prescriptive analytics
  • Cross-border banking and regulation
  • International trade theory and comparative advantage
  • Trade policies and tariffs
  • Global supply chains
  • Trade agreements
  • Global finance, digital economy and financial technology (FinTech)

(4) Contemporary issues of macroeconomics and global finance

  • Overview of macroeconomics analysis and financial decision making powered by AI
  • Currency and financial crises
  • Emerging markets and financial volatility
  • Globalisation, economic integration and trade imbalances
  • International business cycles
  • Hedging and derivatives: futures, forwards, options and swaps
  • Carry trade and speculative attacks
  • Global financial regulations
  • Sustainable finance, ESG investing, climate change and economic policy
  • Digital currencies and FinTech: cryptocurrencies and central bank digital currencies (CBDCs)
  • AI, economic growth, financial innovation and economic implications
  • Geopolitical risks and economic impacts
  • Economic analysis and financial 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 (Macroeconomics, Global Finance and Data Analytics)".

Class Details

Timetable

Lecture Date Time
1 3 Feb 26 (Tue) 19:00-22:00
2 6 Feb 26 (Fri) 19:00-22:00
3 10 Feb 26 (Tue) 19:00-22:00
4 13 Feb 26 (Fri) 19:00-22:00
5 24 Feb 26 (Tue) 19:00-22:00
6 27 Feb 26 (Fri) 19:00-22:00
7 3 Mar 26 (Tue) 19:00-22:00
8 6 Mar 26 (Fri) 19:00-22:00
9 10 Mar 26 (Tue) 19:00-22:00
10 13 Mar 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 Fred Cheng

Background

Mr Fred Cheng is a seasoned Data Analyst with over a decade of experience in the financial sector. He has honed his expertise at top-tier multinational institutions, including Morgan Stanley, Julius Baer, and Singapore Exchange. With a strong foundation in data wrangling, analysis, report automation, dashboard development, and machine learning, he leverages data-driven strategies to enhance business decision-making and optimize performance.  

Fred holds a Master’s degree in Business Analytics from the National University of Singapore and a Bachelor’s degree in Economics from the Chinese University of Hong Kong. 

Mr Ken Choi

Background

Mr Choi has over ten years of practical working experience across start-ups, data software companies, retail banking, insurance companies, listed companies, and large multinational corporation firms in areas of AI, business intelligence, big data and machine learning. He works as a senior project data analyst in charge of business process automation and data projects powered by AI, Machine Learning and Deep Learning. Moreover, he would like to leverage the Web 3.0 technology interaction with FinTech. Furthermore,  he applies business analytics to predict the revenue growth of the corporation. He has been actively teaching and coaching in different institutes and schools over the decade. He is a professional in communicating abstract data concepts and theory to non-tech students efficiently and effectively. He holds a Bachelor (Hons) in Statistics and Operation Research from HKBU and a Master of Statistics and Risk Management from HKU. He is a certified FRM (Financial Risk Manager), Certified Statistical Business Analyst, Certified Predictive Modeler: Enterprise Miner, Certified Advanced Programmer, Certified Base Programmer, and Certified System Platform Administrator. All 5 Credentials were approved by SAS Institute.

Mr William Ma

Background

Mr Ma is a practitioner in data-driven solutions for business operations and user analytics. He holds a Master of Science in Computer Science (Financial Computing Stream) with Distinction from the University of Hong Kong, specialising in algorithmic trading, financial analytics, deep learning, and big data management. He completed his Bachelor of Business Administration in Professional Accounting and Information Systems with First Class Honours from The Hong Kong University of Science and Technology. Before transitioning into the business analytics field, Mr. Ma served as a senior accountant at Ernst & Young and is a Certified Public Accountant (CPA) in Hong Kong.

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, Higher Diploma or Associate Degree awarded by a recognised institution where the language of teaching and assessment is English. Those with a background in business, accounting, finance, economics, mathematics, statistics, science, engineering, IT or computer science 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.