Accounting & Finance Finance and Compliance

Certificate for Module (Big Data Governance and Data Compliance)
證書(單元 : 大數據治理及數據合規)

CEF Reimbursable Course

Microcredential Course

Course Code: FN055A
Application Code: 2265-FN055A
QF Level

Certificate for Module (Big Data Governance and Data Compliance)
QF Level: 5 QR Registration No.: 20/000660/L5 QR Registration Validity Period: 15 Oct 2020 - on-going
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Financial assistance Continuing Education Fund This course has been included in the list of reimbursable courses under the Continuing Education Fund. Close QF Level panel
Credit: 9

Study mode: Part-time

Start Date: 11 Jan 2025 (Sat)

Next intake(s): Mar 2025

Duration: 2 months to 3 months

Language: English

Course Fee: Course Fee: $9000 per programme (* course fees are subject to change without prior notice)

Application Form
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Deadline on 27 Dec 2024 (Fri)

Enquiries: 2867 8331 / 2867 8424

2861 0278

finedec@hkuspace.hku.hk

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Today and Upcoming Events

27
Nov 2024
(Wed)

How can we automate Invoice Matching Process and design a Customer Debt Aging Dashboard System? (27 Nov 2024)

Having received customer invoice payments, AR team members would need to match up the received payments with the corresponding customer orders (or invoices), which would be partially matched, fully matched or even overpaid. Collectively, the team members would need to prepare a customer aging analysis report for management based on the outstanding or overdue invoice amounts for debt analytics. The pain point is that all these are done manually with Excel spreadsheets and it would take much time to reconcile all of worksheets. A perfect solution is to get all these routine tasks automated with Excel automation (no-coding approach) with a dashboard system. If you are interested in knowing a bit about the design, please don’t hesitate to register for the coming lunch 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)

02
Dec 2024
(Mon)

Web3 and Blockchain - Session IX (2 Dec 2024)

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18
Dec 2024
(Wed)

Online Executive Certificate / Diploma Information Seminar - Big Data & FinTech Series (18 Dec 2024)

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 the...

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Online Executive Certificate / Diploma Information Seminar - Big Data & FinTech Series (8 Jan 2025)

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Programme Overview

Highlights

The programme aims to provide students with the key concepts of big data and related operational and ethical issues. It will discuss big data opportunities and challenges, fraud detection, data protection, ethical and compliance issues from managerial perspectives globally. Besides, best practices for data security and compliance, regulatory requirements will be covered in the programme.

Big Data

Programme Details

On completion of the programme, students should be able to
-describe big data concepts and related ethical issues of data collection and handling;
-identify opportunities and threats using big data;
-explain how various technological elements enhance governance and compliance;
-analyze potential risks and challenges in handling fraud detection and prevention; and
-discuss the standards and best practices of data security and compliance.

Application Code	2265-FN055A	Apply Online Now
Apply Online Now

Days / Time

Saturday, 1:00pm - 7:00pm

Duration

30 hours per programme

Venue

Hong Kong Island Campus
Kowloon East Campus

Modules & Class Details

Modules

Course Content :

(1) Introduction to Big Data

Overview of big data, data science and analytics
Introduction to computing and communication technology for big data: cloud computing, mobile computing and 5G
McKinsey big data processing lifecycle: data discovery, data aggregation, planning of the data models, data model execution, communication of the results, and operationalization.
Ethical issues of data collection and handling

(2) Big Data Governance and Business Implications

Overview of big data technology and FinTech: Chatbot, Robo-advisor, Algo-trading, Insurtech, Wealthtech, Regtech, PropTech
Business and technological implications of big data: User Interface (UI) and User Experience (UX) as a result of Open Application Programming Interface (API) policy in HK and the rest of the world
Business challenges and big data opportunities in business and finance
- Asset management
- Customer analytics
- Virtual banking
- Financing and funding
- Wealth management
- Credit analysis
- Risk management
- Fraud detection
Contemporary issues of big data governance from managerial perspectives
- Governance lifecycle and critical components
- Tools, structures and policies executions vs human adoptions
- Big data talents and expertise developments
- Corporate social responsibility (CSR) and sustainability of best big data governance practices
- International big data governance principles, models, guidelines and regulatory trends
- Minority report vs potential discriminations and abusive use of data powers
- Critical analysis on how far Artificial Intelligence (AI) automation should go in decision making
- Mindfulness and ethical applications on big data in big data modelling as well as in Deep Learning (DL)

(3) Data Security and Compliance

Overview of legal and regulatory framework related to data protection and compliance
- General Data Protection Regulation (GDPR) and related compliance
- Personal Data (Privacy) Ordinance (Cap. 486)
- Six Data Protection Principles in Data Privacy Law
- California Consumer Privacy Act (CCPA)
Security risks for big data and infrastructures
Ethical usage of consumer data for value creation as in the data value chain
Issues related to compliance and regulatory reporting
Fraud detection and data security
- Hacking activities, corresponding categories, symptoms and measures
- Vulnerable loopholes
- Fraud detection techniques with predictive analytics: Machine Learning (ML) vs Deep Learning (DL)
- Best practices for implementing big data for fraud prevention
- How big data analytics enhances monitoring performance and quicker decisions in detecting suspicious behaviour, uncovering threats and vulnerabilities, preventing security incidents, and backing up forensic analyses
- Risk prediction as in risk management
- Potential for discrimination
- Privacy framework with appropriate approach to notice and consent
- Ethical and fair usage of big data to achieve value-based innovation
- Compliance and regulatory reporting
- Corporate fraud detection and prevention
- Big data risk management and governance cycle
- Best practices for data security and rapid recoveries
- Issues of open Application Programming Interface (API) and Internet of Things (IoT)

Assessment method: One 30-minute quiz + One assignment + Group Project

Upon successful completion of the programme, students who have pass the continuous assessment and final assessment with attendance no less than 70% will be awarded within the HKU system through HKU SPACE a Certificate for Module (Big Data Governance and Data Compliance).

Teacher

(1) Prof Stephen Ng
Prof. Ng is a seasoned executive for InnoTech ICT and Digital business. He launched many first innotechs in the region, namely the first Broadband, 3G, 4G, e-commerce, m-commerce, Mobile Apps, SaaS cloud, Biometric IDaaS, AI automation, Social Analytics through Machine Learning etc., Graduates of FinTech, AI, and Education from various Universities including Oxford and Bristol. He has obtained professional qualifications including Finance, IT, Security, Psychology, Education, Legal Studies and Management.
Professor Ng has taught the existing programme at HKU SPACE with topics related to Big Data, Governance & Compliance over three years as well as delivered the various seminars related to Big Data, AI and FinTech.
He has served as Company Doctor and Mentor for Corporates and Startups over years, successfully helping Intellectuals Transfer and Wisdom Inspirations on different dimensions across industries and governments in the region as well as sharing and inspiring Executives at various levels from his rich insights and experiences.
Professor Ng was also invited as Honouray Advisor for various international NGOs, forums, academics and professional settings. He has proactively promoted Mindfulness-Based Entreprenuarship & Intelligence Transformations in Public and Private sectors, and proposed the Happiness Value-Chain approach in Business Transformation and Benchmarking on international leadership forums.
He has received various awards from government and renowned communities from Tech Gibs to Life Hackings, included NASA, TechCrunch & HKSAR government etc. Currently, he is conducting R&D projects in Blockchain 4.0, RegTech 2.0 designs and various startup projects. He continues serving the MindTech disruptions towards better Humanity and Technological Advancements.

(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.

Class Details

Timetable

Nov 2024 intake

Lecture	Date	Time
1	11 Jan 2025 (Sat)	13:00 - 19:00
2	18 Jan 2025 (Sat)	13:00 - 19:00
3	25 Jan 2025 (Sat)	13:00 - 19:00
4	8 Feb 2025 (Sat)	13:00 - 19:00
5	15 Feb 2025 (Sat)	13:00 - 19:00

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

Articulation Pathways

Progression Path

Fee & Entry Requirements

Fee

Application Fee

HK$150 (Non-refundable)

Course Fee

Course Fee: $9000 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. 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 (Big Data Governance and Data Compliance) 證書(單元: 大數據治理及數據合規)
COURSE CODE 33C131595	FEES $9,000	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 (Big Data Governance and Data Compliance)

This course is recognised under the Qualifications Framework (QF Level [5])

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Enrolment Method

Online 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

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:

- Short Course

- Award-bearing Programme

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

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.
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.

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.