This course aims to explore the important field of data science.  The syllabus covers the main techniques in statistical data modelling, and algorithms in data science, which include predictive modelling, cluster analysis, association rule mining and text mining.  In addition, different applications of data science techniques in the real world such as web mining, business analytics and health informatics will be discussed.

For a student to pass the course, at least 30% of the maximum mark for the examination must be obtained.