B.Sc. in Statistics

• Programme Brochure

The Department of Statistics was founded in 1982. Our primary mission is to provide a quality education and undertake cutting-edge research. In today's Information Age, statistics has become an indispensable tool in business, social studies, engineering, medicine, clinical studies, genetics and marketing. To meet the increasing demand for well-rounded statistics graduates, we offer undergraduate programmes in Statistics, Risk Management Science, Computational Data Science (jointly administrated by the Department of Computer Science and Engineering) and Quantitative Finance and Risk Management Science (jointly administered by the Department of Finance). We also offer postgraduate programmes for students who intend to become experts in the field.

Highlights

The curriculum is designed to prepare students for careers in fields such as business, teaching and research. The curriculum covers the core of the subject and maintains a balance between theory and practice. Students are required to engage in workshops, case studies and projects under the supervision of teaching staff to broaden their statistical knowledge base, hone their practical skills and gain experience in handling real-life problems. Students can choose to specialise in one of the three streams: Data Science and Business Statistics Stream, Statistical Learning and Data Mining Stream, and Data Analytics Stream.

Career Prospects

Our graduates readily find employment in business, insurance, banking and finance, information technology, Government and professional services. Positions include statisticians, research analysts, data analysts, traders, financial analysts, risk analysts, consultants, software engineers, programmers and teachers. Many of them now hold key positions in the civil service and in various private sectors. Some of our graduates continue their studies and pursue a higher degree in overseas and local universities.

Alumnus Sharing

Tony TSE

I joined the Hong Kong Jockey Club as a Football Trader. As a statistics graduate and a football enthusiast, I appreciate this rare opportunity to apply my knowledge and extend my lifelong passion to my work. My daily work requires the use of various statistical models to perform simulations and computations as well as to understand the performances of teams from historical matches. The analysis helps us better gauge the strength of the teams in the upcoming match and thus predict the results. CUHK Statistics has acquired me with knowledge of the essential theories, techniques and tools to help me beat the odds and create value for my company.