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Accounting & Finance FinTech and Financial Intelligence

Certificate for Module (Business Forecasting and Predictive Analytics for Financial Decision Making)

CEF Reimbursable Course

CEF Reimbursable Course

Course Code
Application Code

Study mode
Start Date
17 Aug 2024 (Sat)
Next intake(s)
Nov 2024
2 months to 4 months
Course Fee
Course Fee: $9600 per programme (* course fees are subject to change without prior notice)
Deadline on 02 Aug 2024 (Fri)
2867 8331
2861 0278
Apply Now

Today and Upcoming Events

Accept new applications for Aug 2024 intake! There are practical classes in the computer laboratory. Our professional lecturer will illustrate techniques of business forecasting as well as practical skills in data mining and predictive analytics for financial decision-making. Business trend analysis, market index forecasting, text analytics, web analytics, social network analysis, and the applications of Excel and Python will be discussed. Welcome to your online application!


The programme aims to provide students with the basic knowledge of business forecasting and essential skills in predictive analytics for financial decision making. The programme illustrates techniques of data exploration and regression analysis, and discusses computational tools used to perform business forecasting and predictive analytics. Students can learn how to apply business forecasting through case studies and perform predictive analytics through practical classes in computer laboratories.


Programme Details

On completion of the programme, students should be able to
1. describe the concept of business forecasting and explain data analytics for business;
2. outline various techniques for data exploration, regression analysis and business forecasting;    
3. apply computational tools to perform business forecasting and predictive analytics; and
4. discuss business implications of forecasting and practical applications of predictive analytics for financial decision making.

Application Code 2240-FN082A Apply Online Now
Apply Online Now

Days / Time
  • Saturday, 10:00am - 6:30pm
  • 30 hours
  • Hong Kong Island Campus
  • Kowloon East Campus



(1) Fundamentals of business forecasting and data analytics

  • Introduction to data science and related career development
    • Data science powered by machine learning and artificial intelligence
    • Job descriptions of data analyst, business analyst, data scientist and business intelligence engineer
    • Career development in data science
  • Overview of data analytics for business
    • Descriptive analytics
    • Diagnostic analytics
    • Predictive analytics
    • Prescriptive analytics
  • Principles of business forecasting and data analytics
  • Introduction to computational tools for business forecasting and data analytics
  • Managerial challenges and business opportunities with data analytics
  • Ethical use of data and data privity


(2) Techniques of business forecasting and predictive analytics

  • Overview of business statistical concepts
  • Sources of data and data integrity
  • Fundamentals of predictive analytics
  • Introduction to business forecasting and model building using Excel
  • Introduction to Python for statistics and data analytics
  • Techniques of data exploration and regression analysis
    • Exploring data patterns and data visualization
    • Simple linear regression
    • Multiple regression
    • Moving averages and smoothing methods
    • Time series and their components
    • Regression with time series data
  • Business forecasting techniques
    • Quantitative techniques
    • Qualitative techniques
  • Applications of predictive analytics and data mining for business
  • Applications of computational tools for business forecasting and predictive analytics


(3) Applications of business forecasting and predictive analytics

  • Business implications and issues of forecasting
  • Business trend analysis and model building
  • Market index forecasting and investment
  • Text analytics and sentiment analysis for finance and investment
  • Web analytics and social network analysis for financial market
  • Business forecasting and financial decision making
  • Managerial issues and data-driven decision-making with predictive analytics

 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 within the HKU system through HKU SPACE a Certificate for Module (Business Forecasting and Predictive Analytics for Financial Decision Making).


Dr. Jason Liao
Dr. Liao obtained his Bachelor and Master degrees from Tsinghua University and PhD from HKUST. He is a Qlik Sense Data Architect with certification. He has lots of working experience and wide expertise in big data, business intelligence, machine learning and FinTech innovation. He is proficient in BI data model/dashboard development, R, Python, SQL, etc. During his past working experience, either internal or external training took a rather large portion, and he elicited favorable comments froms trainees.

Mr. Ferrix Lau
Mr. Lau has over 10 years’ teaching experience in business, accounting and finance modules at tertiary level. He teaches Financial Analysis, Financial Risk Management, Quantitative Analysis, Financial Accounting, Cost and Management Accounting as well as Corporate Governance. Moreover, he is a co-author of a Statistics book, Quantitative Analysis for Professional Studies and Projects. Furthermore, he has strong interests in the areas of Statistical Analysis, Quantitative Finance and Machine Intelligence. Mr. Lau has earned a Bachelor's Degree in Social Science from The Chinese University of Hong Kong, major in Economics and minor in Computer Science. Besides, he holds a Master's Degree in Business Administration with Distinction from The University of Hong Kong, concentrating on the theme of Accounting Control and Financial Management.

Class Details


Aug 2024

Lecture Date Time
1 17 Aug 24 (Sat) 10:00-13:00 & 14:00-18:30
2 24 Aug 24 (Sat) 10:00-13:00 & 14:00-18:30
3 31 Aug 24 (Sat) 10:00-13:00 & 14:00-18:30
4 7 Sep 24 (Sat) 10:00-13:00 & 14:00-18:30

-Tentative timetable is subject to change, and course commencement is subject to sufficient enrollment numbers.
-For the health and safety of teachers and students, the School may substitute face-to-face classes with online teaching if the face-to-face classes cannot be held. 


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, IT or computer science background would have an advantage.

Applicants with other equivalent qualifications will be considered on individual merit.


  • The CEF Institution Code of HKU SPACE is 100
CEF Courses
Certificate for Module (Business Forecasting and Predictive Analytics for Financial Decision Making)
COURSE CODE 33C140357 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 (Business Forecasting and Predictive Analytics for Financial Decision Making)

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


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.