Students registers for MSci degrees within the School of Life Sciences.or studying Natural Sciences. Only available to Year 4 students. PGR students may attend but will not be assessed. Students who have not covered basic statistics, hypothesis-testing and experimental design earlier in their degree may find the module challenging. Biochemistry and Biochemistry andGenetics students may find that the content is not centred on topics directly relevant to their projects.

An advanced level biological statistics course, building on basic undergraduate (Levels 1 and 2) training. Lectures discuss concepts in experimental design, biological probability, generalised linear modelling and multivariate statistics. Practical sessions build on this conceptual outline, giving hands on experience of problem solving and analytical software, and some basic programming skills.

Building on basic undergraduate training, this module will outline a range of statistical techniques that students are likely to encounter during their research projects. We will also discuss the most common experimental design problems faced by biologists. The objective is not to give detailed training in all techniques, but to provide a conceptual toolkit enabling students to develop solutions to a range of problems, and a basis from which to explore the relevant literature and software in their own time.