Mathematics 

(2018 Entry)

BSc (Hons)

On this course you will explore the beauty, elegance and practicality of pure mathematics, applied mathematics and statistics. 

Single Honours
Learn a language
International year
3 years/ 4 years with international year

UCAS code: G100

View entry requirements

Our teaching is excellent, as evidenced by Mathematics at Keele having been consistently ranked in the top ten in the UK in the National Student Survey.

Course Overview

On this course you will explore the beauty, elegance and practicality of pure mathematics, applied mathematics and statistics. You will learn to use maths to develop precise and logical arguments, construct rigorous proofs, and formulate solutions to new problems. You will study in an intellectually stimulating environment amongst mathematicians producing world-leading research. There is an option to take this degree over four years, by adding a year abroad studying (in English) at one of our partner institutions – which could be anywhere from Australia to Finland, Japan or the USA.

What will this mean for my future?

Mathematics helps you to take novel approaches to problem solving and make critical interpretations of data and text; your skills will be in demand wherever there’s a need for logical thinking. An extremely wide range of career paths is open to mathematicians, where high levels of mathematical ability are desirable. This can include fields of work as diverse as finance, data analytics, teaching, engineering, medical statistics and management consultancy.

Indicative modules

First year

  • Algebra
  • Calculus
  • Investigations and Problem Solving

Second year

  • Differential Equations
  • Probability
  • Dynamics
  • Complex Variable and Vector Calculus
  • Mathematical Modelling
  • Abstract Algebra

Third year

  • Professional Mathematics
  • Partial Differential Equations
  • Group Theory
  • Metric Spaces and Topology
  • Codes and Cryptography
  • Time Series
  • Graph Theory
  • Fluid Mechanics
  • Logic
  • Linear Algebra
  • Non-linear Differential Equations
  • Relativity
  • Numerical Analysis
  • Number Theory
  • Mathematical Biology
  • Waves
  • Medical Statistics
  • Ring and Field Theory