Certificate for Module (Big Data Governance and Data Compliance) (CEF) - HKU SPACE: Finance and Compliance, Data Science courses
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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 (selected modules only)

CEF Reimbursable Course (selected modules only)

New Course
Course Code
FN055A
Application Code
1945-FN055A

Study mode
Part-time
Start Date
04 Sep 2021 (Sat)
Next intake(s)
Dec 2021
Duration
2 months to 3 months
Language
English
Course Fee
HK$8100 per programme
How to Apply
Deadline on 20 Aug 2021 (Fri)
Enquiries
2867 8331
2861 0278
Accept new application for 2021 September intake!

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

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 1945-FN055A -

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

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

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.

Timetable

2021 September intake

Lecture Date Time
1 4 Sep 21 (Sat) 13:00 - 19:00
2 11 Sep 21 (Sat) 13:00 - 19:00
3 18 Sep 21 (Sat) 13:00 - 19:00
4 25 Sep 21 (Sat) 13:00 - 19:00
5 9 Oct 21 (Sat) 13:00 - 19:00

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

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. 

Application Fee

HK$150 (Non-refundable)

Course Fee
  • Course Fee : HK$8100 per programme (course fees are subject to change without prior notice)
  • 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 $8,100 ENQUIRY 2867-8331
Continuing Education Fund Reimbursable Course Continuing Education Fund Reimbursable Course (selected modules only)
Some modules of this course have 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])

Application Form Download Application Form

Enrolment Method

HKU SPACE provides 24-hour online application and payment service for students to make enrolment for most open admission courses (courses enrolled on first come, first served basis) and selected award-bearing programmes via the Internet.  Applicants may settle the payment by using either PPS, VISA or Mastercard online.

  1. Complete the online application form

    Applicant may click the icon Apply Now 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 be admitted 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. 

  2. Make Online Payment

    Pay the programme/course fees by either using:

    PPS via 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 our HKU SPACE Enrolment Centres.

To know more about online enrolment and payment, please refer to the user guide of Online Enrolment and Payment:

 

In Person / Mail

For first time enrolment

  1. 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.  
  2. 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 course

A. In person or by post
  1. 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.
  2. 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.
B. Online

Selected programmes offer online continuing enrolment service. Programme staff will inform students if they offer this service and offer further enrolment details.

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:

  1. To make an application online, you will need a computer with connection to the Internet and a web browser with JavaScript enabled. Internet Explorer 5.01 or above is recommended for the web browser.
  2. Applicants should not leave the online application idle for more than 10 minutes.  Otherwise, applicants must restart the application process.
  3. Only S-MILES and Early Bird Discount are supported in Online Applicants (Application).  To enjoy other types of discount, please visit one of our enrolment centres.
  4. 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.
  5. Applicants are reminded that they should only apply for the same programme/course once through counter or online application.
  6. For online enrolment, 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.
  7. Fees paid are not refundable except as statutorily provided or under very exceptional circumstances (e.g. course cancellation due to insufficient enrolment).
  8. 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  or WeChat Pay

Course fees can be paid by cash, EPS or WeChat Pay 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

The course fees of all open admission courses (courses enrolled on first come, first served basis) and selected award-bearing programmes can be settled by using PPS via the Internet. Applicants may also pay the relevant course fees by VISA or MasterCard online. Please refer to the Online Services for details.

Notes

  • For general and short courses, applicants may be required to pay the course fee in cash or by EPS, WeChat Pay, Visa or MasterCard if the course is to start shortly.
  • 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, 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 additional 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.