Main content start
Change.每天多學一點 改變.可大可小

Accounting & Finance FinTech and Financial Intelligence

Certificate for Module (Distributed Ledger and Blockchain with Business Applications)
證書(單元 : 分散式帳本與區塊鏈的商業應用)

CEF Reimbursable Course

CEF Reimbursable Course

Course Code
FN064A
Application Code
2190-FN064A

Credit
6
Study mode
Part-time
Start Date
24 Jun 2024 (Mon)
Next intake(s)
Sep 2024
Duration
30 hours
Language
English
Course Fee
Course Fee: $9800 per programme (* course fees are subject to change without prior notice)
Deadline on 07 Jun 2024 (Fri)
Enquiries
2867 8331
2681 0278
Apply Now

Today and Upcoming Events

22
Apr 2024
(Mon)

Online Executive Certificate / Diploma Information Seminar - Big Data & FinTech Series (22 Apr 24)

The recent advances in Big Data and AI have major impact on the investment and trading community.  Now different types of alternative data from news, social sentiment to satellite images can be used to construct and manage investment portfolios. Moreover, Machine Learning is applied to stock price predictions while Reinforcement Learning (Alpha-Go) technique is employed into trading strategies discovery. This programme is suitable for degree holders and Executives who wish to enhance their knowledge and current market practices in the Big Data and FinTech series. Seminar topics: Course details, entry requirements, assessment requirements. This information seminar provides details about: -Executive Diploma in Financial Analytics  行政人員文憑《金融數據分析》 -Executive Certificate in Banking and Financial Technology  行政人員證書《銀行及金融科技》 -Executive Certificate in Big Data and Business Analytics  行政人員證書《大數據與業務分析》 -Executive Certificate in Big Data and Predictive Analytics  行政人員證書《大數據與預測分析》 -Executive Certificate in Big Data, A.I. and Investing  行政人員證書《大數據,人工智能與投資》 -Executive Certificate in Applications of Blockchain in Financial Technology  行政人員證書《區塊鏈在金融科技的應用》 -Executive Certificate in Applied AI and Predictive Analytics for Business  行政人員證書《應用人工智能與商業預測分析》 -Executive Certificate in AI and Deep Learning in Quantitative Finance  行政人員證書《量化投資:人工智能與深度學習》 -Executive Certificate in Applied Business Analytics and Decision Optimization  行政人員證書《應用商業分析與決策優化》 -Executive Certificate in Interpretation and Visualization of Business Big Data  行政人員證書《商業大數據視覺化及資訊演繹》 -Executive Certificate in Financial Decision Making: Big Data and Machine Learning  行政人員證書《財務決策:大數據及機器學習》 -Executive Certificate in Text Analytics and NLP with Financial Technology 行政人員證書《金融科技:文字分析與自然語言處理》 -Certificate for Module (Big Data Governance and Data Compliance)  證書(單元 : 大數據治理及數據合規) -Certificate for Module (Business Analytics and Web Scraping)  證書(單元 : 商業分析及網站擷取) -Certificate for Module (Robotic Process Automation with Business and Financial Applications)  證書(單元:機械人流程自動化於商業與財務應用) -Certificate for Module (Distributed Ledger and Blockchain with Business Applications)  證書(單元 : 分散式帳本與區塊鏈的商業應用) -Certificate for Module (Business Intelligence and Data Automation)  證書(單元 : 商業智能與數據自動化) -Certificate for Module (Business Process Automation with VBA and Python)  證書(單元:商業流程自動化 – VBA及Python) -Certificate for Module (Business Forecasting and Predictive Analytics for Financial Decision Making)  證書(單元:財務決策的商業分析與預測) -Certificate for Module (Technical Analysis and Data Analytics for Stock Investment) 證書(單元 : 股票投資的數據與技術分析) -Certificate for Module (Sustainable Finance and Green FinTech) 證書(單元 : 可持續金融與綠色金融科技) -Certificate for Module (Generative AI, DeFi and Risk Governance) 證書(單元 : 生成式人工智能、去中心化金融與風險管治) -Certificate for Module (Web 3.0 and FinTech) 證書(單元 : 第三代互聯網與金融科技) -Certificate for Module (GenAI and Automation for Finance and Business) 證書(單元 : 生成式人工智能及金融與業務自動化) -Certificate for Module (Financial Data Analytics with Python and Power BI) 證書(單元 : 金融數據分析–Python 及Power BI) -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) -Certificate for Module (Financial Informatics and Data Analytics) 證書(單元 : 金融信息學與數據分析) -Certificate for Module  (Web Application Programming for Finance and Business) 證書(單元:金融與商業網頁應用編程)   Unable to join us at the Information Seminar? Email to finedec@hkuspace.hku.hk for One-on-One after-office-hour consultation, by appointment only.

27
May 2024
(Mon)

Online Executive Certificate / Diploma Information Seminar - Big Data & FinTech Series (27 May 24)

The recent advances in Big Data and AI have major impact on the investment and trading community.  Now different types of alternative data from news, social sentiment to satellite images can be used to construct and manage investment portfolios. Moreover, Machine Learning is applied to stock price predictions while Reinforcement Learning (Alpha-Go) technique is employed into trading strategies discovery. This programme is suitable for degree holders and Executives who wish to enhance their knowledge and current market practices in the Big Data and FinTech series. Seminar topics: Course details, entry requirements, assessment requirements. This information seminar provides details about: -Executive Diploma in Financial Analytics  行政人員文憑《金融數據分析》 -Executive Certificate in Banking and Financial Technology  行政人員證書《銀行及金融科技》 -Executive Certificate in Big Data and Business Analytics  行政人員證書《大數據與業務分析》 -Executive Certificate in Big Data and Predictive Analytics  行政人員證書《大數據與預測分析》 -Executive Certificate in Big Data, A.I. and Investing  行政人員證書《大數據,人工智能與投資》 -Executive Certificate in Applications of Blockchain in Financial Technology  行政人員證書《區塊鏈在金融科技的應用》 -Executive Certificate in Applied AI and Predictive Analytics for Business  行政人員證書《應用人工智能與商業預測分析》 -Executive Certificate in AI and Deep Learning in Quantitative Finance  行政人員證書《量化投資:人工智能與深度學習》 -Executive Certificate in Applied Business Analytics and Decision Optimization  行政人員證書《應用商業分析與決策優化》 -Executive Certificate in Interpretation and Visualization of Business Big Data  行政人員證書《商業大數據視覺化及資訊演繹》 -Executive Certificate in Financial Decision Making: Big Data and Machine Learning  行政人員證書《財務決策:大數據及機器學習》 -Executive Certificate in Text Analytics and NLP with Financial Technology 行政人員證書《金融科技:文字分析與自然語言處理》 -Certificate for Module (Big Data Governance and Data Compliance)  證書(單元 : 大數據治理及數據合規) -Certificate for Module (Business Analytics and Web Scraping)  證書(單元 : 商業分析及網站擷取) -Certificate for Module (Robotic Process Automation with Business and Financial Applications)  證書(單元:機械人流程自動化於商業與財務應用) -Certificate for Module (Distributed Ledger and Blockchain with Business Applications)  證書(單元 : 分散式帳本與區塊鏈的商業應用) -Certificate for Module (Business Intelligence and Data Automation)  證書(單元 : 商業智能與數據自動化) -Certificate for Module (Business Process Automation with VBA and Python)  證書(單元:商業流程自動化 – VBA及Python) -Certificate for Module (Business Forecasting and Predictive Analytics for Financial Decision Making)  證書(單元:財務決策的商業分析與預測) -Certificate for Module (Technical Analysis and Data Analytics for Stock Investment) 證書(單元 : 股票投資的數據與技術分析) -Certificate for Module (Sustainable Finance and Green FinTech) 證書(單元 : 可持續金融與綠色金融科技) -Certificate for Module (Generative AI, DeFi and Risk Governance) 證書(單元 : 生成式人工智能、去中心化金融與風險管治) -Certificate for Module (Web 3.0 and FinTech) 證書(單元 : 第三代互聯網與金融科技) -Certificate for Module (GenAI and Automation for Finance and Business) 證書(單元 : 生成式人工智能及金融與業務自動化) -Certificate for Module (Financial Data Analytics with Python and Power BI) 證書(單元 : 金融數據分析–Python 及Power BI) -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) -Certificate for Module (Financial Informatics and Data Analytics) 證書(單元 : 金融信息學與數據分析) -Certificate for Module  (Web Application Programming for Finance and Business) 證書(單元:金融與商業網頁應用編程) Unable to join us at the Information Seminar? Email to finedec@hkuspace.hku.hk for One-on-One after-office-hour consultation, by appointment only.

Accept new applications for the Jun intake! There will be practical classes in the computer laboratory. Our professional lecturer will discuss the contemporary knowledge of distributed ledger and the latest applications of blockchain, e.g., asset tokenization and NFT. The usage of computer programming to develop smart contracts and other practical implementations of blockchain in business will be covered. Welcome to your online application!

Highlights

The programme aims to provide students with the contemporary knowledge of distributed ledger and blockchain under the continuous technological advancement. It illustrates the development of smart contracts using computational tools and discusses a practical implementation of blockchain in business. The programme also covers the future development of distributed ledger and blockchain and their implications in business. 

Programme Details

On completion of the programme, students should be able to
1. outline the characteristics and development of distributed ledger and blockchain in the contemporary technological environment;
2. identify key components and related issues of blockchain network for business;
3. apply computational tools to develop smart contracts and illustrate practical implementation of blockchain in business; and
4. discuss cases and applications related to distributed ledger and blockchain in business and finance.
CM(DLBBA)

Application Code 2190-FN064A Apply Online Now
Apply Online Now

Days / Time
  • Mon, Thu, Sat, 7:00pm - 10:00pm
Duration
  • 30 hours per programme
Venue
  • Hong Kong Island Campus
  • Kowloon East Campus

Modules

Course Content

(1) Introduction to Distributed Ledger and Blockchain

  • Overview of distributed ledger and blockchain technology
  • Technological building blocks around distributed ledger and blockchain: AI, Big Data, Cloud Computing, IoT, 5G
  • The Blockchain Evolution
    • Bitcoin and cyptocurrency, cryptography, proof-of-work (PoW)
    • Ethereum and smart contracts, proof-of-stake (PoS)
    • Micro-transactions, cloud nodes and block-lattice structure
    • Mesh networks, lighting networks and open chain networks
  • The structure of a block in a Blockchain
  • Challenges and opportunities of distributed ledger and blockchain: Issues of security and trust, General Data Protection Regulation (GDPR), scalability, cross-chain and intra-chain transactions

 

(2) Development of Distributed Ledger and Blockchain in business  

  • New ecosystem with distributed ledger and blockchain technology
  • Distributed Autonomous Organization (DAO) and Distributed Autonomous Corporation (DAC)
  • Introduction to cryptography: hash function, encryption and cryptosystem     
  • Consensus Algorithms in Blockchain
  • Basics of Ethereum network: Transaction, e-Wallet, Mining, Chain, Fork
  • Introduction to the development of smart contracts using computational tools
  • Digital Signature Algorithm and Biometrics Authentication
  • Asset Tokenization and busines implications:
    • Initial Coin Offering (ICO), Initial Exchange Offering (IEO), Security Token Offering (STO)
    • Non-fungible token (NFT), Simple Ledger Protocol (SLP) and NFT Marketplace

 

(3) Distributed Ledger and Blockchain with applications in business and finance

  • Distributed ledger and electronic payments systems: P2P money transfer and foreign exchange
  • Blockchain in supporting different business functions
  • Blockchain and FinTech: fraud prevention, Know Your Client (KYC), Anti-Money Laundering (AML), smart contracts for insurance
  • Risk management cases and compliance issues
  • Future development and implications of blockchain, distributed ledger and FinTech
  • Practical implementation of blockchain using computational tools: SLP-based Non-fungible token (NFT) and distributed ledger technology (DLT)

Assessment method: Two in-class exercise + Group Project Presentation

Upon successful completion of the programme, students who have passed the continuous assessment and final assessment with attendance no less than 70% will be awarded with the Certificate for Module (Distributed Ledger and Blockchain with Business Applications) within the HKU system through HKU SPACE.

 

Teacher

(1) Dr. Simon Yiu,  
Simon, IT Department Head of a financial institution in Hong Kong, has handled many FinTech initiatives and projects, such as Algo trading, finance big data analytics, Robo-advisors and so on. Before that, he also worked for AI, and Machine learning startup as co-founder and CTO which located at a Hong Kong Science Park and participated at the University organized Entrepreneurship Center in 2010, focusing on AI, Machine Learning, Big Data analytics and Natural language processing. Furthermore, he has hands-on programming experiences in FinTech areas for over 10 years. Simon earned a Doctoral Degree in Business Administration from the City University of Hong Kong and a Master Degree in Data Science and Business Statistics from The Chinese University of Hong Kong.

Class Details

Timetable

Jun 2024 intake

Lecture Date Time
1 24 Jun 24 (Mon) 19:00-22:00
2 27 Jun 24 (Thu) 19:00-22:00
3 4 Jul 24 (Thu) 19:00-22:00
4 8 Jul  24 (Mon) 19:00-22:00
5 11 Jul  24 (Thu) 19:00-22:00
6 15 Jul  24 (Mon) 19:00-22:00
7 18 Jul  24 (Thu) 19:00-22:00
8 22 Jul  24 (Mon) 19:00-22:00
9 25 Jul  24 (Thu) 19:00-22:00
10 29 Jul  24 (Mon) 19:00-22:00

Remarks: The 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: $9800 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 recognized 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 (Distributed Ledger and Blockchain with Business Applications)
證書(單元:分散式帳本與區塊鏈的商業應用)
COURSE CODE 33C135442 FEES $10,000 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 (Distributed Ledger and Blockchain with 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 the 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 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 (course 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, continuing students of award-bearing programmes, if their programmes offer online service, may also pay their course fees by Online WeChat Pay, Online Alipay and 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 Enrolement Centres and avoid making cheque payment under this circustance.
  • 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 or PPS (for online payment only) will normally be reimbursed by a cheque, and fees paid by credit card will normally be reimbursed to the payment cardholder's credit card account.
  • 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.
  • Receipts will be issued for fees paid but HKU SPACE will not be repsonsible for any loss of receipt 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. 

Partner Details

a

Hong Kong Digital Asset Society (HKDAS) is led by a volunteer group of members who care about the future of financial technology in Hong Kong, Greater China and Asia. We are not-for-profit and have an independent structure based on our three pillars of values:  trust, transparency, and governance. We aim to develop and promote the four areas of the Digital Asset industry in Hong Kong.

Education - Provide lectures, mentoring services, workshops and necessary training to educate the public and students on the latest development in digital assets and blockchain technology.

Incubation - Support local entrepreneurs who try to build start-ups in the digital asset space. We help incubate and accelerate their growth by providing necessary training, support and resources.

Opportunity - Provide opportunities like gap year placement, internship and graduate trainee programme to grow and equip young talents and leaders and help them be ready for this evolving and innovative environment.

Integration - Encourage integrations and collaborations with regulators and industrial organizations locally and overseas. Increase investors’ confidence by promoting agreement on the industrial standards for products, practices or operations in the field.