HKU HKU Dept of Statistics & Actuarial Science, HKU

Master of Statistics (MStat)


  • MStat add/drop period:
    September 1 to 15, 2022 (for Semester 1 & Semester 2),
    January 16 to February 6, 2023 (Semester 2 & Summer Semester),
    June 3 to 9, 2023 (Summer Semester)
  • Timetable for 2022-23 (Updated on May 16, 2023)
  • STAT8002 Project (6 credits) (2022-23) (Updated on August 10, 2022)
  • STAT8088 Practicum (6 credits) (2022-23) (Updated on August 10, 2022)
  • STAT8089 Capstone Project (6 credits) (2022-23) (Updated on August 10, 2022)

 Regulations and Syllabuses




 Reimbursable Courses by Continuing Education Fund (CEF)*

STAT7006 Design and analysis of sample surveys(21Z02633A)
STAT8007 Statistical methods in economics and finance(23Z080313)
STAT8015 Actuarial statistics(23Z025053)
STAT8017 Data mining techniques(21Z080237)
STAT8019 Marketing Analytics(42Z12186A)

Five courses in the programme have been included in the list of reimbursable courses under the CEF. All CEF applicants are required to attend at least 70% of the courses before they are eligible for fee reimbursement under the CEF.

*The mother programme (Master of Statistics) of these courses is recognised under the Qualifications Framework (QF Level 6).


 Student Feedback Channels

The University strives to provide quality education and training to students, and feedback from students is valuable for the evaluation of the result of the endeavor. The Student Feedback on Teaching and Learning (SFTL), and Student Learning Experience Questionnaire (SLEQ) allow students to rate and comment on the courses they take near the end of the courses. To further enhance communication between teaching staff and students, the Department also supports the half-yearly Staff-Student Consultative Committee (SSCC) meetings, during which student course representatives and respective teaching staff exchange their views on certain aspects of the courses concerned. All feedback from students are collected anonymously.


  • Postgraduate Handbook (Coursework Programmes)
  • Other related resources from faculty
  • Class/Examination Arrangements during Bad Weather