BSc Mathematics with Statistics
We are top 40 in the world and 7th in the UK for Statistics and Operational Research (QS World University Rankings by Subject, 2021).
Statistics and data science are increasingly in demand in industry and business. Training in statistics will provide opportunities to work in manufacturing, environmental science, medical research and government. You could work on clinical trials or analysing quality control processes. You’ll graduate with a technical background in mathematics, and the statistical and communication skills needed for a career as a statistician.
On this BSc Mathematics with Statistics degree you'll study core maths topics such as algebra and calculus. You’ll learn both practical and theoretical statistics, including probability theory to understand random events, and modern computing techniques to analyse large amounts of data.
As part of this course you’ll:
understand, analyse and communicate statistical results
learn how to model random events and processes
apply statistical analysis to real-world data
use our student centre, a dedicated learning and social space for maths students
use mathematical and computational packages such as Python and the statistics package 'R'
You’ll be taught through a combination of lectures and workshops by leading researchers. Their fields of expertise include survey methods, healthcare modelling and designing experiments.
We are top 40 in the world and 7th in the UK for Statistics and Operational Research (QS World University Rankings by Subject, 2021).
Statistics and data science are increasingly in demand in industry and business. Training in statistics will provide opportunities to work in manufacturing, environmental science, medical research and government. You could work on clinical trials or analysing quality control processes. You’ll graduate with a technical background in mathematics, and the statistical and communication skills needed for a career as a statistician.
On this BSc Mathematics with Statistics degree you'll study core maths topics such as algebra and calculus. You’ll learn both practical and theoretical statistics, including probability theory to understand random events, and modern computing techniques to analyse large amounts of data.
As part of this course you’ll:
understand, analyse and communicate statistical results
learn how to model random events and processes
apply statistical analysis to real-world data
use our student centre, a dedicated learning and social space for maths students
use mathematical and computational packages such as Python and the statistics package 'R'
You’ll be taught through a combination of lectures and workshops by leading researchers. Their fields of expertise include survey methods, healthcare modelling and designing experiments.
