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Accounting & Finance FinTech and Financial Analytics

Certificate for Module (Web 3.0 and FinTech)
證書(單元 : 第三代互聯網與金融科技)

CEF Reimbursable Course

CEF Reimbursable Course

Course Code
FN103A
Application Code
2260-FN103A

Credit
6
Study mode
Part-time
Start Date
To be advised
Next intake(s)
Jan 2025
Duration
30 hours
Language
English
Course Fee
Course Fee: $9600 per programme (* course fees are subject to change without prior notice)
Deadline on 09 Dec 2024 (Mon)
Enquiries
2867 8331 / 2867 8424
2861 0278
Apply Now

Today and Upcoming Events

22
Jan 2025
(Wed)

How can You Design a Dynamic Management Report to Boost your Report Productivity by 100X? (22 Jan 2025)

If you are asked to create the following Excel reports for your management: 1.      Monthly Sales Summary by Product Categories 2.      Monthly Profit Summary by Product Categories 3.      Monthly Sales Summary by Products 4.      Monthly Profit Summary by Products 5.      Monthly Customer Sales Summary 6.      Top 10 Customers by Sales Report 7.      Top 30 Products by Sales Report 8.      Top 10 Cities by Profit Report 9.      Top 5 Countries by Sales Report 10.  Top 3 Profit Summary by Product Sub-Categories How many reports will you design? Most people would develop 10 reports for their management, based on the instruction. If you want to boost your work productivity, you would think about doing it once with only one dynamic management report to cover all of the above, and even more! You may never have thought about doing this if don’t have the concept of dynamic management report design.  Here it is, a webinar for you to explore a new Excel automation that can improve your report productivity by 100X, at least. If you are interested in knowing a bit about the design, please don’t hesitate to register for the coming talk with the following link. Mr Danny Chan, the speaker, lecturer and data consultant, will present to you the solution with a live demo. Language: Cantonese (Supplemented with English) Sample Screens:

Accept New Applications for Dec 24 intake! There are practical classes in the computer laboratory. The contemporary knowledge of Web 3.0 and Financial Technology (FinTech), as well as the latest development and implications in finance will be covered. Also, the essential knowledge of decentralized finance (DeFi), blockchain, smart contracts, non-fungible tokens (NFTs) and cryptocurrencies in the Web 3.0 sphere will be discussed. The programme also covers Python programming with practical computer laboratory classes and illustrates Web 3.0 and FinTech applications.

Highlights

The programme aims to provide students with contemporary knowledge of Web 3.0 and Financial Technology (FinTech), as well as their latest development and implications in finance. It will equip students with the essential knowledge of decentralized finance (DeFi), blockchain, smart contracts, non-fungible tokens (NFTs) and cryptocurrencies in the Web 3.0 sphere. The programme also covers Python programming with practical classes in the computer laboratory and illustrates the applications of Web 3.0 and FinTech.
 

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Programme Details

Intended Learning Outcomes (ILOs) of the Programme

On completion of the programme, students should be able to

  1. explain the development of Web 3.0 and the latest ecosystem in FinTech;
  2. evaluate the opportunities and challenges of Web 3.0 and FinTech in finance;
  3. discuss regulatory and ethical implications of Web 3.0 and FinTech; and
  4. apply Python to interact with Web 3.0 platforms and illustrate basic decentralised applications.
Application Code 2260-FN103A Apply Online Now
Apply Online Now

Days / Time
  • Monday, 6:45pm - 10:30pm
Duration
  • 30 hours per programme
Venue
  • Hong Kong Island Campus
  • Kowloon East Campus
  • Kowloon West Campus

Modules

Syllabus

(1) Evolution of the Internet and FinTech

  • History of the Internet
  • Evolution from Web 1.0 to Web 3.0
  • Introduction to FinTech
  • Impact of Web 3.0 on FinTech

(2) Blockchain Technology and Cryptocurrencies in FinTech

  • Blockchain fundamentals
  • Cryptocurrencies and their role in DeFi
  • Blockchain consensus mechanisms
  • Regulatory considerations for cryptocurrencies

(3) Foundations of DeFi and Smart Contracts

  • Framework of DeFi
  • Overview of DeFi protocols and platforms
  • Fundamentals of smart contracts and Decentralized Application (dApps)
  • Practical examples of smart contracts in DeFi

(4) Emerging innovations and practical applications in Web 3.0 and FinTech

  • Exploring emerging innovations in Web3.0 and DeFi (flash loans, yield aggregators, non-fungible tokens (NFTs))
  • Overview of real-world applications in FinTech and DeFi
  • New ecosystem of FinTech powered by Web 3.0 and DeFi
  • Regulatory and ethical issues in Web 3.0 and FinTech

(5) Design and implementation of DeFi applications using Python

  • Fundamentals of Python and coding syntax
  • Python libraries for Web3 and FinTech
  • Establishing Python environment for DeFi applications
  • Python best practices for Web3 development

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 be awarded within the HKU system through HKU SPACE a “Certificate for Module (Web 3.0 and Financial Technology).”

 

Teacher

(1) Mr Ken Choi
Mr Choi holds a Bachelor (Hons) of Statistics and Operations Research from HKBU and a Master of Statistics and Risk Management from HKU. His qualifications are further augmented by certifications like Financial Risk Manager (FRM) from GARP, and multiple credentials from SAS Institute, including Certified Statistical Business Analyst, Predictive Modeler: Enterprise Miner, Advanced Programmer, Base Programmer, and System Platform Administrator. All of these enrich his capability to navigate and contribute to the evolving world of FinTech and Web3.0.

(2) Dr Carter Lam
Dr Lam is a Financial Risk Manager (FRM) and Professional Risk Manager (PRM) holder, a Chartered Statistician in the United Kingdom, a Certified Statistician in Hong Kong, and an Accredited Professional Statistician in the United States. He has over 15 years of expertise as a lecturer in statistics, data analytics, and artificial intelligence. He received his Bachelor of Science in Mathematics (First Class Honours), Master of Philosophy in Mathematics, and Doctor of Education degrees from the University of Hong Kong. He also holds master's degrees in multimedia information technology, financial engineering, applied psychology (with distinction), and data analytics and artificial intelligence (with distinction) from different universities. He has extensive teaching experience as well as practical knowledge of how to use big data to address financial difficulties. He is also conversant with artificial intelligence and machine learning. He also holds more than 20 IT certifications from Oracle, Huawei, Adobe, Microsoft, SAS, Cisco, Alteryx, and Google. He just earned the bronze award at the Digital Economics Hong Kong Techanthon+ 2024 for developing an AI online trading platform. He also won the Hong Kong Science and Technology Park's coideation program and formed an educational technology company under it.

(3) Mr Ivan Chan
Out of 16+ years of working experience in capital market and investment banking, Mr. Chan, being a seasoned risk management practitioner, has held several departmental head positions in which he is responsible for overall risk appetite and framework along with oversight responsibility on the ASEAN regional subsidiaries conglomerate. In addition to his PhD candidacy in Business from Singapore, he has obtained software engineering bachelor from CUHK and Master of Finance in Risk Management and Financial Engineering from HKU. Moreover, as a passionate and highly committed risk professional, Mr. Chan also holds professional qualifications such as CFA and FRM respectively.

Class Details

Timetable

Lecture Date  Time
1 23 Dec 24 (Mon) 18:45-22:30
2 30 Dec 24 (Mon) 18:45-22:30
3 6 Jan 24 (Mon) 18:45-22:30
4 13 Jan 24 (Mon) 18:45-22:30
5 20 Jan 24 (Mon)

18:45-22:30

6 3 Feb 24 (Mon) 18:45-22:30
7 10 Feb 24 (Mon) 18:45-22:30
8 17 Feb 24 (Mon) 18:45-22:30

 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 awarded by a recognised institution. Those with a business, finance, economics, mathematics, 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 (Web 3.0 and Financial Technology)
證書 (單元 : 第三代互聯網與金融科技)
COURSE CODE 33C15689A 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 (Web 3.0 and Financial Technology)

  • 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.