HKU HKU Dept of Statistics & Actuarial Science, HKU

Bachelor of Science (Major in Statistics) (BSc)

HUANG Feiqing
2018 BSc graduate (Major in Statistics)

"One of the best things in life that happened to me is to spend my undergraduate years in HKU under the Department of Statistics and Actuarial Science. There are overseas research fellowship scheme and career advising programme (CAP) tailor-made for Statistics and Actuarial Science students. By fully utilizing the resources posted on the CAP platform, I managed to obtain a quant internship in an investment firm which turned out to be a dramatic turning point of my life. Aspired by my research topic during the internship, I decided to further pursue a PhD study into this specific area in HKU.”


 Aims and Features

The world is rife with uncertainty. Decisions are often made in spite of incomplete data, imperfect knowledge and random variation. Statistics is the study of such variability and uncertainty by developing and applying analytic and quantitative tools which involve logical thinking, problem formulation, probability reasoning and intensive data analyses. Statistics appears in almost all areas of science, business, research, and wherever data are obtained for the purpose of finding information in support of decision making. Therefore, Statistics has been described as the science of making conclusions in the presence of uncertainty.

The Major in Statistics (Programme Code: 6901) establishes for students a strong background in statistical concepts, and provides them with a broad and solid training in applied statistical methodologies. It prepares them for proper applications of this generic science in their future career. Indeed such applications of statistics as an analytical tool have been given growing prominence in the modern society. For example, the following projects have called upon the diverse expertise of the academic staff of the Statistics Major to generate valuable outcomes:

  • Data mining - provides a powerful technique to analyse massive data like credit card transactions for credit risk;
  • Biostatistics - enables medical and statistical specialists to estimate case fatality rate of SARS and investigate other properties of the epidemic;
  • Sampling methods - provide reliable estimates of the number of July 1st marchers;
  • Time series models - used for accurate forecasting of “red-tide” in Kat-O, assessment of the local financial market as well as development of financial risk management tools to analyse the stock market;
  • Bioinformatics - helps to solve crime scene complications where potential evidence is stained with DNA from more than one person.
  • The Major caters for students with good mathematics background and is designed to meet a steadily rising demand for specialist statisticians in government, business, finance, marketing, hospitals, IT, marketing, environmental protection, scientific research and universities. Meanwhile, Minor in Statistics is an excellent complement to a degree in other fields.

    For more information, please read our Programme Brochure for 2024-25.

    For the collection of Facebook posts and stories about the Major, please click #HKU6901BScStatistics.

         Study Programme Total number of students in 2022-23 (from year 1 to 6)
         6901 Bachelor of Science (Major in Statistics) 126
    Updated on NOV 1, 2022

     Graduate Statistician (GradStat) and Quality Mark of Royal Statistical Society (RSS)


    The University of Hong Kong (HKU) has been awarded the status of an Accredited University by the Royal Statistical Society (RSS) since December 2023. The RSS accreditation provides reassurance that the teaching, learning and assessment within the accredited programme is of high quality and meets the needs of students and employers.

    Upon completion of a bachelor degree programme at HKU with a major in either Statistics, Decision Analytics* or Risk Management* and application to RSS via the standard route, graduates are qualified to become a Graduate Statistician (GradStat) designated by RSS (link).

    In addition, the RSS has awarded individual HKU courses with the RSS Quality Mark, a recognition that these courses teach good statistical literacy. Students who have passed these courses are deemed to have met the academic requirements of the RSS Data Analyst award (link).

    * Students are required to pass specific courses (link) in the major.





    Programme Brochure
    click here