With the development of sensing, communication, and computing technologies, data gathering becomes more convenient and economical than ever, so that massive compilations of data have emerged in all kinds of areas. Through appropriate modeling and analysis, Big Data can effectively promote inference, estimation, tracking, learning and decision making. However, Big Data is so huge and complex that it also brings new challenges besides opportunities. Hence, graduates equipped with a solid training in statistical and computing skills will play a key role in solving various statistical problems, especially the Big Data challenges. They will be sought-after by employers and will likely contribute to the modern economy in a significant way. To meet the rising demand for well-trained Statistics graduates in the information age, the programme’s curriculum is designed to encompass the core subjects of the field, while maintaining a balance between theory and practice. Topics covered include the foundations of statistics, computing and data management, statistical theories and methods, and statistical applications in business, finance, medicine, actuarial science, quality control and risk management science. The Statistics programme provides three streams for the students to choose, which are: 1) Data Science 2) Financial Statistics 3) Statistical Science

We welcome applicants with a wide range of qualifications. You just need to take any of the following: • International Baccalaureate Diploma (IB) • General Certificate of Education (GCE / A-Level) • Scholastic Assessment Test (SAT) / American College Test (ACT) • Local national higher education entrance examination • Completed at least one year of undergraduate study at a qualified university • Completed at least one year of study leading to the qualification of associate degree / higher diploma or its equivalent. Applicants should have attained an acceptable level of proficiency in English.