BSc Mathematics and Statistics
This course is designed to prepare you 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. You’ll cover the same essential topics as other maths students, but we make sure you get training in a range of statistical techniques. You’ll use the tools and software professional statisticians use.
We have a small but focused number of modules in the first year, that cover all the essentials you’ll need for the rest of your degree. You will start to develop programming skills using Python and R, which can be applied to lots of jobs that involve data. You’ll learn to use the typesetting software LaTeX, which mathematicians and statisticians use to present their work.
In your second year, you’ll continue to build a powerful toolbox of mathematical techniques. You’ll also learn how to apply your 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 you the chance to put your mathematics skills into practice in different contexts and scenarios that you might encounter when you start work after graduation. A module on careers development gives you the chance to find out about different career paths, learn about potential employers, write an impressive CV and sell yourself at job interviews.
By your third year, you’ll 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. We’ll give you lots of optional modules to choose from, so you can study the topics that are most useful to the career path you want to take or that you enjoy the most.
Accredited by the Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status
This course is designed to prepare you 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. You’ll cover the same essential topics as other maths students, but we make sure you get training in a range of statistical techniques. You’ll use the tools and software professional statisticians use.
We have a small but focused number of modules in the first year, that cover all the essentials you’ll need for the rest of your degree. You will start to develop programming skills using Python and R, which can be applied to lots of jobs that involve data. You’ll learn to use the typesetting software LaTeX, which mathematicians and statisticians use to present their work.
In your second year, you’ll continue to build a powerful toolbox of mathematical techniques. You’ll also learn how to apply your 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 you the chance to put your mathematics skills into practice in different contexts and scenarios that you might encounter when you start work after graduation. A module on careers development gives you the chance to find out about different career paths, learn about potential employers, write an impressive CV and sell yourself at job interviews.
By your third year, you’ll 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. We’ll give you lots of optional modules to choose from, so you can study the topics that are most useful to the career path you want to take or that you enjoy the most.
Accredited by the Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status
