Course Calender

Course Calender

SAYT1006 Risk Management and Actuarial Science 風險管理與精算學

Key facts for Autumn 2020:

Date:   5 whole day sessions (30 Hours)
26 September,3,10,17,24, 31* October 2020
Time:   9:30am - 12:30pm; 2:00pm - 5:00pm
Teaching Platform:   Zoom
Enrollment:   20
Expected Applicants:   Students who are promoting to or studying S4-S6
(with background in physics, chemistry or mathematics)
Tuition Fee:   HKD 3,120.00
Students who have attended all sessions will be granted a HKD 800 scholarship
Lecturer:   Prof. YAU Chun Yip
Course Outline:   Download HERE

* This date is reserved for make-up classes in case there is any cancellation of classes due to unexpected circumstances.



The uncertainty in an event or an activity is known as risk. Risks are encountered in trivial events such as travelling and in professional activities such as business partnership. We take risk every day. This course provides a broad perspective on both current practices and mathematical theories of risk management. Topics include qualitative and quantitative classifications of risks, mathematical modelling of financial markets and derivatives, current financial issues and crises, and statistical analysis of financial data, mathematics of insurance and Actuarial Science. This course is designed for the students who are interested in the scientific and mathematical aspects of risk management, financial market and actuarial science.



Organising units:
  • Department of Statistics, CUHK
  • Centre for Promoting Science Education, CUHK
Category:   Category I – University Credit-Bearing
Learning outcomes:   Upon completion of this course, students should be able to:
  1. Be literate of risk and uncertainty;
  2. Learn various financial issues with mathematical rigors;
  3. Appreciate the importance of risk management in financial and insurance market;
  4. Be equipped with a quantitative and critical mind.

Learning Activities:
  1. Lectures
  2. Lab
Medium of Instruction:   Cantonese supplemented with English
  1. Short answer test or exam
Recognition:   No. of University unit(s) awarded: 1
* Certificate or letter of completion will be awarded to students who attain at least 75% attendance and pass the assessment (if applicable)
Expected applicants:   Good knowledge in S4 to S5 mathematics, knowledge in economic is preferable but not necessarily.
Organising period:   Summer 2016; Summer 2017; Summer 2018; Summer 2019; Autumn 2020
Application method:   SAYT Online application