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Accounting & Finance FinTech and Financial Analytics

Certificate for Module (Backend Web Development and Deployment for Finance and Business Applications)
證書(單元 : 後端網站開發及部署於金融與商業的應用)

CEF Reimbursable Course

CEF Reimbursable Course

Course Code
FN144A
Application Code
2350-FN144A

Credit
6
Study mode
Part-time
Start Date
20 Dec 2025 (Sat)
Next intake(s)
Feb 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 08 Dec 2025 (Mon)
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 Dec 25 intake! There will be practical classes in the computer laboratory. Introduce the framework for backend web development as well as the logic and operations of the system. Apply computational tools and software to design the database and develop an application programming interface (API). Discuss deployment processes, security issues, application, testing and system support for finance and business applications.

Highlights

The programme aims to provide students with essential knowledge and a framework for backend web development, and to help them understand the related logic and operations of the systems. It equips students with practical skills to apply computational tools and software to design the database and develop an application programming interface (API). The programme also discusses deployment processes, security issues, application testing, and system support for finance and business applications.
 

Programme Details

On completion of the programme, students should be able to

  1. examine the backend web development framework and system requirements;
  2. outline the main features and functionalities of the applications to support finance and business functions;
  3. apply computational tools and software to develop an application programming interface (API); and
  4. discuss API security and deploy applications for finance and business.
Application Code 2350-FN144A Apply Online Now
Apply Online Now

Days / Time
  • Saturday, 1:00pm - 7:00pm
Duration
  • 30 hours per programme
Venue
  • Hong Kong Island Learning Centre
  • Kowloon West Campus
  • Kowloon East Campus

Modules

Course Content :

(1) Overview of backend web development and deployment for finance and business applications

  • Logic, database and operations from frontend to backend web development
  • Overview of system design and cloud services for backend development in full-stack web development
  • Basic knowledge of web server, server-side development, main features and functionalities
  • Benefits of backend web development for finance and business applications
  • Project management and deployment process: planning, development, testing, deploying and monitoring

(2) Introduction to programming tools for backend web development

  • Overview of programming languages and backend frameworks: JavaScript and NodeJS, Python and Django, PHP and Laravel
  • Internet protocol and network
  • Version control system: Git and GitHub
  • Database management: relational database and non-relational database
  • Generative artificial intelligence (GenAI) tools and backend web development

(3) Application Programming Interface (API) development and security

  • API protocol and APIs for financial data sources
  • Basic knowledge of web security and ethical usage of data 
  • Asynchronous data loading and message queues
  • API security: encryption, data integrity and authentication
  • Data visualisation: Chart.js, D3.js and Plotly.js

(4) Deployment for finance and business applications

  • Overview of deployment from finance and business perspectives
  • Containerisation platforms and technologies
  • Database and performance optimisation
  • Test of applications: integration testing, unit testing, function testing and split testing
  • Backend web development projects for finance and business applications

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 (Backend Web Development and Deployment for Finance and Business Applications)".

Class Details

Timetable

Lecture Date Time
1 20 Dec 25 (Sat) 13:00-19:00
2 3 Jan 26 (Sat) 13:00-19:00
3 10 Jan 26 (Sat) 13:00-19:00
4 17 Jan 26 (Sat) 13:00-19:00
5 24 Jan 26 (Sat) 13:00-19:00

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

Progression Path

Teacher Information

Dr Simon YK Li

Background

Dr Li earned the degrees of Doctor of Engineering and Master of Science in Knowledge Management from the Department of Industrial and System Engineering of the Hong Kong Polytechnic University in 2020 and 2010 respectively. His research interests include knowledge and innovation management, big data analytics, data science, business intelligence and data mining. Dr. Li is serving several local universities in the areas of teaching and researching on business intelligence, data mining, data science, information systems, and computer science. Prior to joining academia, Dr. Li had spent more than 25 years serving the information technology areas of both private and public sectors of Hong Kong.

Mr Honcy Lee

Background

Mr. Lee is the founder and director of Oneness Capitals Co., Ltd., a company specializing in information technology and financial data analytics services. Prior to establishing Oneness Capitals, Mr. Lee served as a managing director at a private technology company and worked for over a decade at several multinational financial institutions. In addition to his professional roles, he has also taught Python Data Analytics courses at various educational institutions. Mr. Lee holds a Bachelor’s degree in Accounting & Finance and earned a Postgraduate Diploma in Financial Analytics & Algorithmic Trading with distinction.

Miss Nancy Choi

Background

Miss Nancy Choi, A global Project Management Team Lead in one of the industry leaders of a hotel group chain. She has hands-on experiences in data analytics, project management, web development and AI technology. 

She earned a AI Bachelor design from the University of Hertfordshire and a Master Degree of Business Administration from the University of Hong Kong.

Mr Vince Chan

Background

Mr Chan is a web developer and user experience designer with 15 years in the technology industry. He is experienced in interaction design, application development, and AI-assisted productivity enhancement, providing expertise in creating business applications for local and international organizations. Mr Chan holds a Master's degree in Information & Computer Science from the University of California, Irvine, as well as dual Bachelor's degrees in Studio Art and Computer Science.

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 a business, 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

CEF

  • The CEF Institution Code of HKU SPACE is 100
CEF Courses
new Certificate for Module (Backend Web Development and Deployment for Finance and Business Applications)
證書(單元 : 後端網站開發及部署於金融與商業的應用)
COURSE CODE 33C164787 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 (Backend Web Development and Deployment for Finance and Business Applications)

  • 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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