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Accounting & Finance Green Finance

Certificate for Module (Sustainable Finance and Green FinTech)
證書(單元 : 可持續金融與綠色金融科技)

CEF Reimbursable Course

CEF Reimbursable Course

Course Code
FN098A
Application Code
2370-FN098A

Credit
6
Study mode
Part-time
Start Date
28 Feb 2026 (Sat)
Next intake(s)
Apr 2026
Duration
30 hours
Language
English
Course Fee
Course Fee: $9600 per programme (* course fees are subject to change without prior notice)
Deadline on 13 Feb 2026 (Fri)
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 Feb 2026 intake! There are practical classes in the computer laboratory. Sustainable finance and green FinTech are hot topics globally. The programme will discuss ESG credit scoring, ESG reporting and financial analysis. Our professional lecturer will illustrate the applications of computational tools to assist financial decision-making. Welcome to your online application!

Highlights

The programme aims to provide students with contemporary knowledge about sustainable finance and green FinTech. It facilitates students to build up an integrated approach for ESG (environmental, social and governance) and financial analysis. It covers green finance, de-carbonization initiatives, ESG reporting and portfolio management. It also discusses the contemporary development of green FinTech and applications of computational tools to assist financial decision-making.

A

Programme Details

Intended Learning Outcomes (ILOs) of the Programme

On completion of the programme, students should be able to

  1. explain the principles of sustainable finance and the technological elements in green FinTech;
  2. analyse ESG factors and perform financial analysis;
  3. discuss green finance, green FinTech, ESG reporting and financial implications; and

  4. apply computational tools for financial analysis and portfolio management

“This programme is one of the Eligible Programmes under the Pilot Green and Sustainable Finance Capacity Building Support Scheme.”

scheme

Programme Provider Identification Code: PP-CLQ189
Programme Identification Code: GTP-702235
Effective date under the Scheme: 2023/11/27
Programme Name: Certificate for Module (Sustainable Finance and Green FinTech)

“Programme fee: up to HKD 8,800* (reimbursable fees under the Pilot Green and Sustainable Finance Capacity Building Support Scheme) *

Reimbursement amount is dependent on the actual amount incurred by the programme participant and the applicable percentage of reimbursement based on that participant’s applicant category.”

*For applicants who were full-time students during the whole period of the Eligible Programme and wish to claim up to 100% of the reimbursable fees.

Application should be sent directly to the Pilot GSF Capacity Building Support Scheme office within three months after programme completion. For details, please visit the Scheme website: www.greentalent.org.hk or contact the Scheme enquiry hotline: 852-2258-6000 or email to enquiry@greentalent.org.hk.

Application Code 2370-FN098A Apply Online Now
Apply Online Now

Days / Time
  • Saturday, 1:00pm - 6:00pm
Duration
  • 30 hours per programme
Venue
  • Hong Kong Island Campus
  • Kowloon East Campus
  • Kowloon West Campus

Modules

Syllabus

(1)  Introduction to sustainable finance and green FinTech

  • Principles of sustainable finance and green finance
  • Introduction to ESG, climate risk and de-carbonization initiatives
  • Overview of technological building blocks in sustainable finance and green FinTech
    • Web 3.0, blockchain, distributed ledger, and central bank digital currency (CDBC)
    • AI, machine learning, deep learning and reinforcement learning
    • Text analytics, Generative AI (GenAI) and Natural Language Processing (NLP)
  • New ecosystem of sustainable finance and green FinTech
  • Development of sustainable finance and green FinTech in Hong Kong and Greater Bay Area (GBA)

(2)  Sustainable finance and market of sustainable finance

  • Overview of sustainable finance and responsible investment
  • Size and scope of sustainable finance, ESG investing and key market drivers
  • Introduction to green financial products and markets in sustainable finance
  • ESG-driven markets and sustainability trends

(3)  ESG and financial analysis in sustainable finance

  • Overview of policies, regulations and standards around green and sustainable finance
  • Framework of ESG disclosure and reporting
  • Opportunities and challenges in sustainable finance and ESG investing
  • ESG factors and ESG analysis
  • Overview of financial analysis and investment process around ESG
  • Financial analysis and security valuation complemented by ESG factors
  • ESG credit scoring
  • Introduction to computational tools for financial analysis and ESG rating

(4)  Portfolio management in sustainable finance

  • Strategic asset allocation in sustainable finance
  • Applications of green FinTech to assist portfolio construction
  • Integration of ESG factors into the portfolio management process
    • ESG screening
    • ESG investing and portfolio management
  • Portfolio measurement and performance reporting
  • Financial data wrangling and web scraping
  • Data visualization in ESG portfolio management process

Assessment method: One In-Class Exercise + Group Project Presentation

Award

Upon successful completion of the programme, students who have passed the final examination with attendance no less than 70% will award within the HKU system through HKU SPACE a Certificate for Module (Sustainable Finance and Green FinTech).

Teacher:  

1.  Mr Eddie Chow
Mr Eddie Chow is a data science practitioner and AI Researcher who received his master degree in E-Commerce from the City University of Hong Kong. He actively consults in the application of machine learning, deep learning and artificial intelligence in Real Estate, Agriculture, Retail, Fashion and Consumer Goods industries. He is also the founder and CTO of InnoVi, is a tech entrepreneur providing AI solutions to clients, which specializes in natural language processing (NLP) and computer vision. He also an co-founder of several tech startups. Besides, he also got banking and finance experience such as mortgage, credit card, bank transfer, e-payment, General Ledger, Accounting Transaction, account management, payment gateway.
In InnoVi, he helps businesses especially from the construction and retail industries formulate strategies and conduct latest technology on scaling their business. He is also a startup mentor coaching the startup founders from formation to scaling up throughout each step of the validation phase.

2. Mr Percy Kong
Mr Percy Kong is a fintech professional with over 20 years of extensive experience in IT, banks, and listed fintech unicorns. He has participated in and led hundreds of treasury and trading platform projects in different commercial and investment banks. He has been awarded various honors from Bloomberg, Refinitiv, Deutsche Bank, HKEX, IBM, Oracle, Sun Java, and Capital Weekly. In 2023, he led a treasury data science research team at the Hong Kong University Business School. He now actively consults in applying machine learning, deep learning, trading technology, and agentic AI in treasury and banking. Percy earned an Executive Certificate in Data Science from Hong Kong University, a Master's in Financial Engineering from City University of Hong Kong, and a Bachelor's in Computing from Monash University. He is currently a Certified Senior Treasury Management Professional from the Hong Kong Monetary Authority and a Global Talent (Fintech) from Australia.

3. Miss Monica Cheung
Ms Y.M. Cheung is a seasoned professional with nearly 20 years of experience in investment banking, FinTech, sustainability, risk management, and regulatory compliance. A CFA, CPA, FRM, and CESGA, she has advised on capital markets transactions and governance strategies across Asia. She is currently an Independent Non-Executive Director of a listed company in Hong Kong, a member of the Corporate Governance Committee of the Hong Kong Independent Non-Executive Director Association, and an Executive Director of CFA Society Hong Kong. She contributes to professional education as a CFA Institute grader and HKICPA marker. She brings legal insights to her teaching through advanced study in law at the University of Hong Kong.

4. Mr Duncan Chan
Mr Chan, CFA, FRM, CESGA, has over 15 years of experience in research, analysis, and investment, specializing in the commodities and metals materials industries in Hong Kong, China, and South Asia. Mr. Chan is skilled at interpreting the impact of geopolitical developments on financial markets from a cyclical inventory perspective. He excels in identifying companies with long-term investment value through Environmental, Social, and Governance analysis. He holds a Master's degree in Financial Engineering from City University of Hong Kong.

Class Details

Timetable

Lecture Date  Time
1 28 Feb 26 (Sat) 13:00-18:00
2 7 Mar 26 (Sat) 13:00-18:00
3 14 Mar 26 (Sat) 13:00-18:00
4 21 Mar 26 (Sat) 13:00-18:00
5 28 Mar 26 (Sat) 13:00-18:00

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

Fee

Application Fee

HK$150 (Non-refundable)

Course Fee
  • Course Fee: $9600 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 preferably in the areas of business and statistics (e.g., mathematics, statistics, computer science, IT, engineering, economics or finance) awarded by a recognized institution.

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

CEF

  • The CEF Institution Code of HKU SPACE is 100
CEF Courses
Certificate for Module (Sustainable Finance and Green FinTech)
證書(單元 : 可持續金融與綠色金融科技)
COURSE CODE 33C156172 FEES $9,600 ENQUIRY 2867-8331
Continuing Education Fund Continuing Education Fund
This course has been included in the list of reimbursable courses under the Continuing Education Fund.

Certificate for Module (Sustainable Finance and Green FinTech)

  • This course is recognised under the Qualifications Framework (QF Level [5])

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.