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Accounting & Finance FinTech and Financial Analytics

New Course

Certificate for Module (Financial Analysis and Valuation with Excel and Python)
證書( 單元 : 財務分析與評估 – Excel及Python)

CEF Reimbursable Course

CEF Reimbursable Course

Course Code
FN130A
Application Code
2370-FN130A

Credit
6
Study mode
Part-time
Start Date
09 Feb 2026 (Mon)
Next intake(s)
Apr 2026
Duration
30 hours
Language
English
Course Fee
Course Fee: $10,200 per programme (* course fees are subject to change without prior notice)
Deadline on 26 Jan 2026 (Mon)
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 26 intake! There will be practical classes in the computer laboratory. Essential knowledge of financial analysis and valuation will be introduced. Practical applications of Excel and Python for financial analysis and data visualisation will be illustrated. The programme also discusses simulation and model building, as well as evaluation of corporate performance.

Highlights

The programme aims to provide students with essential knowledge of financial analysis and valuation. It equips students with practical skills to perform financial analysis and data visualisation using Excel and Python. The programme also illustrates simulation and model building, as well as evaluation of corporate performance.

Programme Details

On completion of the programme, students should be able to 

1.    examine the financial statements for financial analysis;

2.    apply techniques of financial analysis to evaluate a company;

3.    develop financial models and use computational tools for financial analysis and valuation; and

4.    interpret the financial results and assess financial performance of a company.

Application Code 2370-FN130A Apply Online Now
Apply Online Now

Days / Time
  • Mon - Tue, 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 financial analysis and model building

  • Introduction to financial statements
  • Financial statement analysis from financial reports
  • Principles of corporate finance and techniques of financial analysis
  • Risk analysis and management
  • Financial model building and performance evaluation

(2) Financial analysis and valuation with Excel

  • Excel basics for financial modeling
  • Sensitivity analysis and scenario analysis
  • Data visualisation
  • ESG valuation
  • Spreadsheet modeling and equity valuation

(3) Financial analysis and valuation with Python

  • Introduction to Python programming
  • Web scraping and data visualisation
  • Overview of Artificial Intelligence (AI) and Natural Language Processing (NLP) for financial analytics
  • Financial analysis and model building
  • Monte Carlo Simulation (MCS) and valuation

Assessment method: Individual Assignment + 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 (Financial Analysis and Valuation with Excel and Python)".

Class Details

Timetable

Lecture Date Time
1 9 Feb 26 (Mon) 19:00-22:00
2 10 Feb 26 (Tue) 19:00-22:00
3 23 Feb 26 (Mon) 19:00-22:00
4 24 Feb 26 (Tue) 19:00-22:00
5 2 Mar 26 (Mon) 19:00-22:00
6 3 Mar 26 (Tue) 19:00-22:00
7 9 Mar 26 (Mon) 19:00-22:00
8 10 Mar 26 (Tue) 19:00-22:00
9 16 Mar 26 (Mon) 19:00-22:00
10 17 Mar 26 (Tue) 19:00-22:00

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

Teacher Information

Mr Benjamin Lee

Background

Mr Benjamin Lee is a Chartered Financial Analyst (CFA) Holder and currently serves as the Head of the Investment Department at an international financial institution. He has over 15 years of experience in asset management and has previously held the position of Fund Director at a private equity fund, managing assets for international high-net-worth clients and professional investors. Mr. Lee is an EFFAS Certified ESG Analyst® (CESGA).He specializes in integrating environmental, social, and governance (ESG) and sustainable development concepts into investment decision-making. 

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 Percy Kong

Background

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.

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 (Non-refundable)

Course Fee
  • Course Fee: $10,200 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 economics, finance, business, 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

CEF

  • The CEF Institution Code of HKU SPACE is 100
CEF Courses
Certificate for Module (Financial Analysis and Valuation with Excel and Python)
證書(單元:財務分析與評估 - Excel及Python)
COURSE CODE 33C163047 FEES $10,200 ENQUIRY 2867-8424
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 (Financial Analysis and Valuation with Excel and Python)

  • 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.
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