In today’s era of big data, large data sets are generated every day in various areas of society and industry, from social networking to finance. It is challenging to extract and analyse information from such an unprecedentedly large volume of data. To create value from such data, one must combine techniques from mathematics, statistics and computer science. This programme nurtures graduates with expertise across the core disciplines of mathematics, statistics and computer science. It develops students’ analytical and critical thinking as well as their problem-solving skills. This enables graduates to pursue careers as data analysts in various industries, such as finance and information technology.
Data science and analytics involve the use of mathematical, statistical and computing techniques to extract useful information from large-scale data and make decisions accordingly. Statistics, optimisation methods and computer science are widely acknowledged to form the three pillars of modern data science. This programme is designed to provide a balanced treatment of these three pillars, with the aim of cultivating future data analysts.
Graduates with highly developed mathematical, statistical and computing skills are in great demand globally, in both industry and academic settings.
If you are not a native speaker of English, and your Bachelor's degree or equivalent qualification is awarded by institutions where the medium of instruction is not English, you are expected to fulfil the University’s minimum English language requirement for admission purpose. Please refer to the " Admission Requirements " section for details.