Business Analytics and Big Data

Programme Code: SISB2214

Faculty of: HKU Business School

Managed by: HKU Summer Institute

Level-of-study: S3-S6

Area of Interest: Business

Programme Period: August 15, 2022 to August 19, 2022

Programme Schedule: 5 Sessions (10:00 - 13:00 ) & (14:30-17:30)

Programme Fee: HKD 3,400

Teaching Mode: Online

Deadline for Application:
June 24, 2022

Online ApplicationAPPLY NOW

Programme Descriptions:

With the rapid advances in information technologies, massive amount of data, often known as “big data”, are being generated at an unprecedented speed, from various sources such as online transactions, trading, mobile applications, sensors, video-capturing systems, and most notably, social media including microblogs, social networking platforms, and forums. There are many opportunities for “business analytics”, where business organizations and financial institutions can gain managerial and strategic insights by gathering, cleaning, and analyzing these data. Through a combination of interactive lectures and demonstrations, this programme offers an introduction to the fundamentals of business analytics and big data applications, and helps students understand the technologies behind these applications.

Learning Objectives:

After taking this program, participants should be able to:

  • Describe and analyze the characteristics of various business analytics techniques and methods, compare their pros and cons, and apply them effectively in business.
  • Describe and explain the basics of artificial intelligence and data mining.
  • Explain the fundamentals of the latest business applications supported by data analytics.
  • Explain the impact of data analytics on business and finance.

Programme Key topics:

  • Introduction to business analytics
  • Big data applications
  • Artificial intelligence and data mining
  • Business intelligence and data visualization

Programme Schedule:

August 15 (Monday) August 17 (Wednesday) August 19 (Friday)
Morning Session


Introduction to business analytics Machine learning and data mining OFF
Afternoon Session


Big data applications Artificial intelligence for business Data visualization


• Students of non-credit bearing programmes will receive a certificate upon programme completion. Students of credit-bearing programmes can apply a transcript stated with HKU credits, please contact your home institution about the issue related to HKU credits recognition.

• You understand that you must be available for the entire duration of the programme, from the start to the end of the programme. 20% absence is allowed for emergencies or sick leave with legitimate reason and official letterhead proof for the absence. Students have the responsibility to contact the programme coordinator and/or teacher concerned about this ahead of time. No exceptions will be made, unless prior approval has been given. You are expected to be punctual for all classes and tutorials. Unexcused cases of lateness may count as absence. Students who fail to achieve an 80% of attendance or absence without legitimate reason and official letterhead proof for the absence will not be awarded the HKU Credits or the Certificate of Completion.