Mathematics and Statistics
BSc UCAS code: G112 BSc + Placement Year UCAS code: GG13 
MMath UCAS code: G110 MMath + Placement Year UCAS code: GG14 
International students In her Mathsters video series, honorary fellow Dr Eugenia Cheng provides tutorials on a range of maths topics. 
How to apply and other entry requirements Other Mathematics degrees:
See also: Dual courses Spend a year on placement – and pay reduced fees: 
About the course 
Our Mathematics and Statistics courses include compulsory training in a range of statistical techniques, using the latest professional tools and software. You'll start by learning the theory of probability, and its applications, and begin to study statistical inference. You'll also build on your existing mathematics knowledge by covering a range of pure and applied mathematics topics, and learn how to conduct a mathematical investigation as part of a group while you develop your computing and writing skills. In second year, you'll learn how to apply statistical techniques to increasingly complex problems. You'll do more on statistical inference, as well as probability modelling, differential equations, and computing and simulation. You'll can also study mechanics and fluids, and how the tools of mathematics and statistics can be applied to realworld problems. There is specialist training in medical statistics, Bayesian statistics, sampling and experimental design in third year. There is also a vast range of optional modules for you to choose from in third year and, if you choose one of the MMath courses, fourth year. Topics range from number theory, and knots and surfaces, to codes and cryptography, and the history of mathematics. This gives you the freedom to focus on the topics that interest you the most and develop specialist knowledge for your chosen career. Lots of modules include project work, so that you get the chance to put your mathematics skills into practice in lots of different scenarios. If you do one of our researchintensive MMath degrees, you'll spend a third of your final year working on a major independent research project. This year is designed to prepare you for a career in research, with training in how to write mathematical reports and present your findings. There is also more specialist training in data analysis, computational inference and linear models. 


Course structure 
Below are some examples of topics covered in this degree from the current academic year. There may be some changes before you start your course. First year
Second year
Third year
Fourth yearIf you do the MMath course, you'll do a major research project in your fourth year, working with professional mathematicians in one of our research groups. Students also take the following modules: You'll also have a range of optional modules to choose from. Current options include: The content of our courses is reviewed annually to make sure it's uptodate and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our worldleading research, funding changes, professional accreditation requirements, student or employer feedback, outcomes of reviews, and variations in staff or student numbers. You can find a full list of modules in the School of Mathematics and Statistics on our webpages for current students: 
Mathematics and Statistics with a Placement Year
UCAS codes: GG13 / GG14
If you do one of our Placement Year courses, you'll spend 12 months before the final year of your degree on a work placement. This makes these degree programmes a year longer, as you'll still cover the same content as students on our standard BSc and MMath Mathematics and Statistics degrees. During your placement year, you'll work fulltime, potentially earning a graduatelevel salary. You'll pay reduced fees for the year you spend on placement but still have access to all the support you need from the University. Careers staff will help you find the placement that's right for you, and students are often offered graduate jobs at the end. Previous placement students have gone to:
Sarah, pictured, spent a year of her degree working for NHS England as an Operational Research Analyst. 
