Master of Statistics | HKU

Master of Statistics (MStat) | HKU School of Computing and Data Science

The University of Hong Kong

Master of Statistics

2025-26 Online Information Session 2 (in English)

7:00-8:00 pm (HKT), 27 Nov 2024 (Wednesday)

Programme Overview

Programme Overview

The Master of Statistics (MStat) programme emphasises the applications of statistical techniques across various fields to formulate strategies with greater clarity and accuracy, ultimately leading to enhanced operational efficiency and effectiveness. Students learn to examine, translate, and classify data, with a focus on pinpointing the most critical areas and implications suggested by the data for effective problem-solving and decision-making. The programme covers, in particular, extensive analysis of structured or unstructured data using different techniques and tools, including but not limited to spatial data analysis, advanced statistical inference, big data analytics, marketing analytics, data mining techniques, statistical software such as SAS, R and Python, etc.

Statistics
Big Data
Data Mining
Programming
Value-at-risk

MStat is a one-year full-time / two-year part-time programme, which is designed to provide a rigorous training in principles and practice of statistics for students to solve the real-world statistical problems. It emphasises applications and aims to prepare candidates for further studies, research, consulting work and administration in various fields through computer-aided and hands-on experience.

Full time or part-time mode
One year or two years of study
Optional preparation courses
60 credits of courses
Specified theme
Risk Management or Data Analytics or Financial Statistics

Programme Overview

Key Facts

0

QS Asia University Rankings 2024

0

QS World University Rankings by Subject 2024 (Data Science & Artificial Intelligence)

0 %

Admission Rate

60 %

Graduate Employment

Graduates' career prospects in recent year

Graduates' career prospects in recent year

Target students

It is a programme ideal for

Advance skills

those whose wish to advance their quantitative and analytical skills to prepare for a data-focused career path, and

Further study

those who wish to pursue further study in the field of statistics after studying science, social sciences, engineering, medical sciences, information systems, business and finance in their undergraduate studies.
80

Full time
students*

0

Part time
students*

* Admission figures in 2024-25

Admissions Events

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