Program Description

This course is designed to prepare students for roles in the big data economy. There has never been more demand for statisticians who can find the patterns in large datasets, draw conclusions from it, and create solutions. Students cover the same essential topics as other maths students, but they get training in a range of statistical techniques. Students will use the tools and software that professional statisticians use.

The program has a small but focused number of modules in the first year that covers all the essentials students need for the rest of their degrees. They will start to develop programming skills using Python and R, which can be applied to lots of jobs that involve data. Students will also learn to use the typesetting software LaTeX, which mathematicians and statisticians use to present their work.

In second year, students will continue to build a powerful toolbox of mathematical techniques. They will also learn how to apply their statistics knowledge to increasingly complex problems through statistical modelling and computer simulations. There are optional modules on topics including algebra, mechanics, and fluids.

Some modules include more project work. This gives students the chance to put their mathematics skills into practice in different contexts and scenarios that they might encounter when they start work after graduation. A module on careers development gives students the chance to find out about different career paths, learn about potential employers, write an impressive CV and sell yourself at job interviews.

By their third year, students will have the skills, knowledge, and experience to go in lots of different directions. There is training in how to design experiments and collect data, how statistics are used in clinical trials of new drugs and how data can predict the likely outcome of an event. There are lots of optional modules to choose from, so students can study the topics that best align with their aspirations. 

Accredited by the Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status.