The Masters programme is structured with a component of coursework and a research component. Students register for either a 90 credit (research orientated) )thesis or a 60 credit research assignment. The coursework component consists of modules in Bootstrap and resampling methods, Extreme value theory, Multidimensional scaling, Statistical Learning theory and Applied Statistical Learning theory.
The focus of the Masters programme is on multidimensional visualizations and Statistical Learning, the core elements of Data Science.
Honours degree with majors in Statistics or Mathematical Statistics.
Bursary office of the University