The PGDip/MSc in Applied Statistics and Datamining is a one-year taught programme run by the School of Mathematics and Statistics. The course is aimed at those with a good degree containing quantitative elements who wish to gain statistical data analysis skills.
The programme consists of two semesters with taught components which include a mixture of short, intense courses with a large proportion of continuous assessment and more traditional lecture courses with end of semester exams.
For those on the MSc, the taught component will be followed by a 15,000-word dissertation project taking place during the last three months of the course.
Advanced Data Analysis;
Applied Multivariate Analysis;
Knowledge Discovery and Data-Mining;
Advanced Statistical Inference;
Estimating Animal Abundance;
Advanced Bayesian Inference;
Mathematical Biology 2;
Independent Study Module;
Professional Skills for Mathematical Scientists;
Advanced Project in Mathematics / Statistics;