HKU HKU Dept of Statistics & Actuarial Science, HKU

Master of Statistics (2023 Admission)

 Aims and Features

The degree of Master of Statistics is a one year full-time / two years part-time programme, which has been restructured from the previous degree of Master of Social Sciences in Applied Statistics that was launched in September 1987. Since the first graduation in 1989, we expect to have over 1000 graduates when the present cohort completes the programme.

This programme is designed to provide a rigorous training in the principles and practice of statistics. It emphasizes applications and aims to prepare candidates for further study, research, consulting work and administration in various fields through computer-aided and hands-on experience.

     Study Programme Admission figures in 2022-23
     Master of Statistics (Full time) 47
     Master of Statistics (Part time) 9
Updated on 25 October, 2022

 Admission Information

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 Reimbursable Courses by Continuing Education Fund (CEF)*

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

Four 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.

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


 Graduate / Student Sharing



From 2021-22, two Congregations will be held annually (in July and December respectively) which is to align with international practices and to facilitate the convenience for students. Graduands who are eligible for graduation will be assigned to the Congregation nearest to the completion date of their studies for conferral of degree. The Graduation Certificate normally could be collected on the day of the Congregation.

Expected graduation time for normative study period Expected graduation time if students take summer courses in final year
Full Time (1 year) : Summer (July 2024)
Part Time (2 years) : Summer (July 2025)
Full Time (1 year) : Winter (November/December 2024)
Part Time (2 years) : Winter (November/December 2025)


Ms. Clara Lian
Department of Statistics & Actuarial Science
Tel : 3917 6042
Fax : 2858 9041
Email :