Program Overview

Master of Statistics (MStat) Programme Overview

The Master of Statistics (MStat) programme at the University of Hong Kong emphasizes 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 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.

Programme Structure

• The MStat programme is a one-year full-time or two-year part-time programme designed to provide rigorous training in principles and practice of statistics for students to solve real-world statistical problems.
• It emphasizes applications and aims to prepare candidates for further studies, research, consulting work, and administration in various fields through computer-aided and hands-on experience.
• The programme offers:
  • Full-time or part-time mode
  • One year or two years of study
  • Optional preparation courses
  • 60 credits of courses
  • Specified themes: Risk Management, Data Analytics, or Financial Statistics

Key Facts

• Entrance Year: 2026
• Mode of study and Normal Duration: Full-time (1 year), Part-time (2 years)
• Credits Required for Graduation: 60
• Tuition Fee: $228,000 for Local students, $238,800 for Non-local students
• Application Deadline: Main Round (1 December, 2025), Clearing Round (31 March, 2026)

Career Prospects

Graduates of the MStat programme have diverse career prospects, including:

• Actuary
• Algorithm Engineer
• Data Analyst
• Data Engineer
• Equity Data Specialist
• Investment Portfolio Manager
• Quantitative Trader
• Risk Management Analyst
• Risk Assurance Associate
• Statistical Officer

Target Students

The programme is ideal for:

• Those who wish to advance their quantitative and analytical skills to prepare for a data-focused career path.
• 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.