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Accounting & Finance FinTech and Financial Intelligence

Executive Certificate in Big Data and Business Analytics

Course Code
Application Code
Study mode
Start Date
24 Aug 2024 (Sat)
Next intake(s)
Oct 2024
1 month to 2 months
Course Fee
Course Fee: $9200 per programme (* course fees are subject to change without prior notice)
Deadline on 09 Aug 2024 (Fri)
2867 8331
2861 0278
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Today and Upcoming Events

Accept new applications for the Aug intake! There will be practical classes in the computer laboratory. Create value for your company using Big Data! KPI setting, Balanced Scorecard, Performance Management! No Coding experience is necessary! Basic concepts of big data will be introduced. Our seasoned lecturer will share the applications of business analytics from the view of the practitioner. Also, the usage of computational tools to process big data will be illustrated. Welcome to your online application!


This programme aims to provide students with knowledge in Big Data and Business Analytics for management decision-making. Students are expected to be familiar with different big data analyses, tools and methodologies. The programme provides an insight on how business world is using Big Data to improve their business models. 


Who would benefit from EC in Big Data and Business Analytics:

  • one who wants to understand how Business world is using Big Data
  • one who wants to learn how Big Data  influence management decision
  • one who wants to apply Big Data to their current work/business environment
  • one who wants to explore different methodologies and tools in predictive analysis

Programme Details

On completion of the programme, students should be able to: 

1.    self-explore commonly available off-the-shelf Big Data tools, algorithms and methodologies; 
2.    utilize existing Big Data algorithms and tools made available online for predictive analysis;
3.    apply Big Data analytics and incidental AI technologies for management's decision-making; 
4.    develop big data strategies and forecast results through predictive analytics;
5.    examine Big Data handling processes with reference to ethical issues of Big Data collection and privacy protection in the business world.   

Application Code 2240-EP104A Apply Online Now
Apply Online Now

  • 30 hours per module
  • Hong Kong Island Campus
  • Kowloon East Campus


Course Content:
1.    Defining Big Data and its business and technology implications 解釋大數據及其對於商業及科技的啟示
-      What is Big Data? What are 5 “V”s in Big Data?
-      What Big Data Alchemy means for Business?
-      Business Intelligence concepts and applications

2.    Fraud Prevention and Data Governance 預防欺詐及數據管治
-      Data Protection and the responsibility of information governance
-      Corporate fraud detection and prevention
-      Fraud Detection Techniques with Predictive Analytics
-      Risk prediction and assessment

3.    Data Processing and Analysis 數據處理與分析
-       Data Analytics goal setting & Data Mining
-       Key statistic theories & techniques, Hypothesis testing revision 
-       Key Performance Indicators & Key Success Factors for strategic business analytics

4.    Big Data Tools and Algorithm Exploration 大數據分析工具及探索有關之演算法
-       Usage of different off-the-shelf tools & algorithm
-       Additional Freewares introduction for predictive analysis 

5.    Data Visualization & Interpretation 資訊視覺化及數據演繹
-       Explore different visualization tools
-       Visual analytics & business experiments in data modelling
-       Turning results into executive business decision

Assessment method: class participation + assignment

The Executive Certificate will be conferred to candidates who have attained PASS grade and achieved at least 70% attendance of the programme.



1. Ms Rowena Lai
Ms. Rowena Lai has extensive experience in business and data analytics in different business sectors. She is currently working in a well-known international bank and leading various data analytics projects. She graduated from the Chinese University of Hong Kong with a Bachelor of Science degree (major in Mathematics and Minor in Economics), and obtained a Master of Science in International Shipping and Transport Logistics as well as a Master of Science degree in Global Supply Chain Management from the Hong Kong Polytechnic University. Ms. Lai is currently a Certified Analytics Professional (CAP) from INFORMS. With her practical experience in data analytics and professional knowledge in financial technology, she teaches "Big Data and FinTech" module under Postgraduate Diploma in Investment Management and Financial Intelligence, Executive Certificate in Big Data and Data Analytics as well as Executive Certificate in Text Analytics and NLP with Financial Technology.


2. Mr Eddie Chow
Mr. Eddie Chow is a data science practitioner and AI Researcher who received his master degree in E-Commerce from the City University of Hong Kong. He actively consults in the application of machine learning, deep learning and artificial intelligence in Real Estate, Agriculture, Retail, Fashion and Consumer Goods industries. He is also the founder and CTO of InnoVi, is a tech entrepreneur providing AI solutions to clients, which specializes in natural language processing (NLP) and computer vision. He also an co-founder of several tech startups. Besides, he also got banking and finance experience such as mortgage, credit card, bank transfer, e-payment, General Ledger, Accounting Transaction, account management, payment gateway.
In InnoVi, he helps businesses especially from the construction and retail industries formulate strategies and conduct latest technology on scaling their business. He is also a startup mentor coaching the startup founders from formation to scaling up throughout each step of the validation phase.

Class Details


Aug 2024 intake 

Lecture Date Time
1 24 Aug 24 (Sat) 13:30 - 19:30
2 31 Aug 24 (Sat) 13:30 - 19:30
3 7 Sep 24 (Sat) 13:30 - 19:30
4 14 Sep 24 (Sat) 13:30 - 19:30
5 21 Sep 24 (Sat) 13:30 - 19:30

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


Application Fee

HK$150 (Non-refundable)

Course Fee
  • Course Fee: $9200 per programme (* course fees are subject to change without prior notice)

Entry Requirements

Applicants shall hold:
a)    a bachelor’s degree awarded by a recognized University or equivalent; or
b)   an Associate Degree/ a Higher Diploma or equivalent, and have at least 2 years of relevant working experience.

Applicants with other qualification and substantial senior level work experience will be considered on individual merit.

* Please upload copy of HKID and proof of degree while applying online. 


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.


  • 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.