This course provides students with an extensive exposure to the elements of data processing and modelling for social media. Topics include human error detection, missing data handling, record aggregation, data integration, categorical variable modelling, multivariate data modelling, multilevel data modelling, latent data modelling, temporal data modelling, and spatial data modelling.

Note: To pass the course, apart from obtaining a minimum of 40% in the overall mark, a student must also obtain a minimum mark of 30% in both continuous assessment and examination components.