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Accounting & Finance FinTech and Financial Analytics
Certificate for Module (AI and ML with Business and Financial Applications)
證書（單元 : 人工智能與機器學習 - 商業與財務應用）
CEF Reimbursable Course
- Course Code
- FN107A
- Application Code
- 2360-FN107A
- QF Level
-
Financial assistance
Close QF Level panel
Continuing Education Fund
This course has been included in the list of reimbursable courses under the Continuing Education Fund.
- Credit
- 6
- Study mode
- Part-time
- Start Date
- 10 Dec 2025 (Wed)
- Next intake(s)
- Feb 2026
- Duration
- 1 month to 2 months
- Language
- English
- Course Fee
- Course Fee: $10400 per programme (* course fees are subject to change without prior notice)
- Enquiries
-
2867 8331 / 2867 84242861 0278
Today and Upcoming Events
Confirmed Launch for Dec 2025 intake! There are practical classes in the computer laboratory. Introduction to artificial intelligence (AI), machine intelligence (ML), human-computer interaction (HCI), and artificial general intelligence (AGI) in business and finance will be covered. Apart from Python programming, ML, neural networks, deep learning, natural language processing (NLP), large language models (LLM) and generative pre-trained transformer (GPT) will also be taught. Practical applications of AI and ML in business and finance will be discussed.
Programme Overview
Highlights
Programme Details
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On completion of the programme, students should be able to
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| Application Code | 2360-FN107A | Apply Online Now |
| Apply Online Now | ||
Days / Time
- Mon, Wed, 6:45pm - 10:30pm
- 30 hours per programme
- Hong Kong Island Campus
- Kowloon East Campus
- Kowloon West Campus
Modules & Class Details
Modules
Syllabus
(1) Introduction to artificial intelligence (AI)
- Development of AI and key market players
- Technological elements around AI and data science
- Machine intelligence and human-computer interaction (HCI)
- Analytical AI and business analytics
- Introduction to GenAI tools and prompt engineering
- Challenges and opportunities around artificial general intelligence (AGI) in business and finance
- AI risks and ethics
(2) AI and ML algorithms powered by Python
- Python programming
- Python library and AI and ML algorithms
- ML theory and methods: supervised learning algorithms, unsupervised learning algorithms, and reinforcement learning algorithms
- Neural networks and deep learning: artificial neural networks (ANN), convolutional neural networks (CNN), recurrent neural networks (RNN), long short-term memory (LSTM), generative adversarial networks (GAN)
- Natural language processing (NLP), large language models (LLM) and generative pre-trained transformer (GPT)
- Computer vision and automation
- AI and ML with practical business cases
- AI and business analytics with Python
(3) Applications of AI and ML in business and finance
- Financial transaction analysis and fraud detection
- Risk assessment for financial investments and loan applications
- Stock market prediction
- Customer segmentation and analysis
- Credit scoring
- Algorithmic trading
- Sentiment analysis
- Chatbots and virtual assistants
- Loan default prediction
- Customer churn prediction
- Business process automation
- Operational optimisation
Assessment method: One 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 (Artificial Intelligence and Machine Learning with Business and Financial Applications).”
Teacher:
1. Mr Alan Cheung
Mr. Alan Cheung, PRM, CQF has solid experience in quantitative finance spanning statistical analysis, derivative pricing and mathematical modeling. He has solid experience in fintech in top tier investment banks, versed in architecting low latency, high frequency algorithmic trading systems. Alan has a Master of Science in Mathematical and Computational Finance from the University of Oxford after graduating with First Class Honours in Mathematics with Statistics for Finance from Imperial College London.
2. Mr Thomas Lee
Mr Lee is a computer and project management professional who has worked in the information technology and data science industry for over 30 years under vendor environments including HP Inc., Dell, Fossil, Motorola network and GP Batteries. In the past ten years, Mr Lee focused on new product introduction, design for manufacturability, quality assurance & production risk management among manufacturing plants in China & Taiwan utilizing various data sciences tools and methodologies. Mr Lee is qualified as a Microsoft Certified Trainer in delivering Microsoft training modules based on Azure technology. He has been teaching courses related to Big Data, Cloud Computing, Machine Learning, Cyber Security and Fintech since 2020. Mr Lee is a certified Project Management Professional, PMP from Project Management Institute PMI, US from 1998 and a Certified Scrum Master since 2018. Mr Lee holds a Master of Health Science degree in Biomedical Engineering from University of Toronto, St. George Campus, Canada. He currently works on projects as an enabler for Inclusion and Accessibility utilizing the artificial intelligence technology.
3. Mr Ken Choi
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.
Class Details
Timetable
| Lecture | Date | Time |
| 1 | 10 Dec 25 (Wed) | 18:45-22:30 |
| 2 | 17 Dec 25 (Wed) | 18:45-22:30 |
| 3 | 22 Dec 25 (Mon) | 18:45-22:30 |
| 4 | 29 Dec 25 (Mon) | 18:45-22:30 |
| 5 | 7 Jan 26 (Wed) | 18:45-22:30 |
| 6 | 14 Jan 26 (Wed) | 18:45-22:30 |
| 7 | 21 Jan 26 (Wed) | 18:45-22:30 |
| 8 | 28 Jan 26 (Wed) | 18:45-22:30 |
Remarks: Tentative timetable is subject to change, and course commencement is subject to sufficient enrollment numbers.
Articulation Pathways
Progression Path
Fee & Entry Requirements
Fee
HK$150 (Non-refundable)
Course Fee- Course Fee: $10400 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. 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.
CEF
- The CEF Institution Code of HKU SPACE is 100
| CEF Courses | ||
|---|---|---|
| CERTIFICATE FOR MODULE (ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING WITH BUSINESS AND FINANCIAL APPLICATIONS) 證書 (單元 : 人工智能與機器學習 - 商業與財務應用) |
||
| COURSE CODE 33C159015 | FEES $10,400 | ENQUIRY 2867-8331 |
|
Continuing Education Fund This course has been included in the list of reimbursable courses under the Continuing Education Fund. |
Certificate for Module (Artificial Intelligence and Machine Learning with Business and Financial Applications)
|
Apply
Online Application Apply Now
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Enrolment MethodOnline Enrolment
HKU SPACE provides 24-hour online application and payment service for students to apply to selected award-bearing programmes and to enrol in most open admission courses (courses enrolled on a first come, first served basis) via the Internet. Applicants may settle the payment by using either "PPS by Internet" (not available via mobile phones), VISA or Mastercard online. Online WeChat Pay, Online AliPay and Faster Payment System (FPS) are also available for continuing enrolment in the same programme, if online service is offered.
For first time enrolment
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Complete the online application form
Applicant may click the icon
on the top right-hand corner of the programme/course webpage to make online application, and then follow the instructions to fill in the online application form.
Some programmes/courses may admit by selection, and may require applicants to provide electronic copy of any required documents (e.g. proof of qualification) as indicated on the programme/course webpage. Only file format in doc, docx, jpg and pdf are supported. -
Make Online Payment
Pay the application or programme/course fees by either using:
"PPS by Internet" - You will need a PPS account and a PPS Internet password. For information on how to open a PPS account and how to set up a PPS Internet password, please visit http://www.ppshk.com.
*Credit Card Online Payment - Course fees can be paid by VISA or Mastercard including the “HKU SPACE Mastercard”.
* HKU SPACE Mastercard cardholders who wish to enjoy 10-month interest free instalment scheme must pay their tuition fees in person at any of our HKU SPACE Enrolment Centres.
To know more about first-time online application/enrolment and payment, please refer to the user guide of Online Application / Enrolment and Payment:
For continuing enrolment in the same programme
Selected programmes offer online continuing enrolment service. Programme staff will inform students if they offer this service and offer further enrolment details.
Online Payment can be made via "PPS by Internet" (not available via mobile phones), VISA or Mastercard, Online WeChat Pay, Online AliPay and Faster Payment System (FPS)
In Person / Mail
For first time enrolment
-
For first come, first served short courses, complete the Application for Enrolment Form SF26 and bring or post the completed form(s), together with the appropriate application/course fee(s) and any required supporting documents to any of the HKU SPACE enrolment centres.
[Download Enrolment Form SF26] -
Award-bearing and professional courses may require other information. Forms are usually available at the enrolment centres or on request from programme staff. Bring or post the completed form(s), together with the appropriate application/course fee(s) and any required supporting documents to any of the HKU SPACE enrolment centres.
For continuing enrolment in the same programme
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The standard ‘Enrolment/Payment Slip’ is designed for students of award-bearing programmes or remaining programmes in a suite of programmes requiring continuing enrolment and it applies to most programmes.
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Students should complete the “Enrolment/Payment Slip” which will be made available by relevant programme staff and return the slip to any HKU SPACE enrolment centre or post it to the relevant programme staff with appropriate fee payment.
Please refer to available Payment Methods for fee payment information. If you are in doubt about the procedures, please check the individual course details, or contact our programme staff or enrolment centres.
Please note the followings for programme/course enrollment:
- To make an application online, you will need a computer with connection to the Internet and a web browser with JavaScript enabled. Google Chrome is recommended.
- Applicants should not leave the online application idle for more than 10 minutes. Otherwise, applicants must restart the application process.
- Only Early Bird Discount is supported for Online Applicants (Application). To enjoy other types of discount, please visit one of our enrolment centres.
- During the online application process, asynchronous application and payment submission may occur. Successful payment may not guarantee successful application. In case of unsuccessful submission, our programme staff will contact you shortly.
- Applicants are reminded that they should only apply for the same programme/course once through counter or online application.
- For online enrolment, a payment confirmation page would be displayed after payment has been made successfully. In addition, a confirmation email would also be sent to your email account. You are advised to keep your payment confirmation for future enquiries.
- Fees paid are not refundable except as statutorily provided or under very exceptional circumstances (e.g. course cancellation due to insufficient enrolment).
- If admission is by selection, the official receipt is not a guarantee that your application has been accepted. We will inform you of the result as soon as possible after the closing date for application. Unsuccessful applicants will be given a refund of programme/course fee if already paid.
Disclaimer
The School provides a platform for online services for a selected range of products it offers. While every effort is made to ensure timeliness and accuracy of information contained in this website, such information and materials are provided "as is" without express or implied warranty of any kind. In particular, no warranty or assurance regarding non-infringement, security, accuracy, fitness for a purpose or freedom from computer viruses is given in connection with such information and materials.
The School (and its respective employees and subsidiaries) is not liable for any loss or damage in connection with any online payments made by you by reason of (i) any failure, delay, interruption, suspension or restriction of the transmission of any information or message from any payment gateways of the relevant banks and/or third party merchants for processing credit/debit/smart card or other payment facilitation mechanism; (ii) any negligence, mistake, error in or omission from any information or message transmitted from the said payment gateways; (iii) any breakdown, malfunction or failure of those gateways in effecting online payment service or (iv) anything arisen out of or in connection with the said payment gateways, including but not limited to unauthorised access to or alternation of the transmission of data or any unlawful act not permitted by the law.
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
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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.
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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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