This course provides students with an extensive exposure to the elements of opinion/behavioural data analytics. Topics include self-reported data, behavioural data, social science sampling, questionnaire design, offline surveys, online surveys, digital trace measurement, multi-source data analytics, and privacy protection.

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.