Teaching and assessment for Mathematics MMath (Hons)

Build confidence in the mathematical foundations needed for university study. Strengthen your skills in algebra, functions, trigonometry, vectors, differentiation, and integration while developing the problem-solving ability that supports future study and quantitative careers. 

Develop the mathematical tools used to describe space, motion, and change. Study integration, differential equations, vectors, matrices, and geometry while building the problem-solving skills needed for advanced study in mathematics and physics.

Learn how mathematicians prove that results are true. Study logic, proof methods, truth tables, induction, contradiction, and number theory while developing the clear reasoning and precision needed for university-level mathematics. 

Learn how statistics and probability are used to understand data, from science to finance. Analyse patterns, model uncertainty, and make informed decisions using real-world information. 

Explore the mathematics of patterns, choices, strategy, and symmetry. Study set theory, combinatorics, game theory, and group theory while building problem-solving skills used in pure mathematics, data science, and decision-making. 

Develop analytical approaches to problem-solving and communication skills that employers value. Work on problem-solving challenges, explore scientific careers, and learn how to present with impact

Starting university is a big step and we’re here to help you make the most of it.

No matter what subject you’re studying, there are important life and study skills that will help you succeed now and in the future.

Explore powerful ideas at the heart of advanced mathematics. Study vector calculus, Fourier series, and partial differential equations, and see how they connect pure mathematics with physics, engineering, and mathematical modelling. 

You will learn to use data from a sample of a population to deduce information about the average properties of the whole population.

You will also learn how to use the software package RStudio to do calculations with data.

Learn how to solve real-world planning and transport problems using maths. Build practical skills in optimisation, modelling, and decision-making.

Explore vector spaces, linear mappings, and diagonalisation. Learn the essential mathematics that underpins data science, physics, and engineering.

Master programming in Python and MATLAB through hands-on labs. Gain real skills used by scientists and engineers in industry every day. 

Now that you’ve settled into university life, it’s time to build on the foundations you set in your first year.

This second-year module is all about helping you take your development to the next level. This module will cover this from a personal, academic, and professional perspective.

This module examines analysis, which is an area of pure mathematics forming the foundation for other areas of maths. The concept of convergence is also covered, which forms part of the framework used by computers to solve complicated equations for mathematical models in physics, biology, and economics.

Model real-world systems using numerical methods. Learn to solve equations, simulate dynamics, and code like a computational scientist.

In finance and energy you often want to maximise profit. There are however constraints from the operational side of the business that must be adhered to. This gives rise to what are known in mathematics as constrained optimisation problems. In this module, you'll study optimisation methods to solve these problems.

Study how systems evolve over time. Learn how to model and analyse physical and biological systems using differential equations and qualitative methods.

Complex numbers are an extension of the real numbers that we use every day. Complex analysis is a branch of maths that studies functions of complex numbers. It extends the concepts of calculus to the complex plane. This module explores properties of complex functions, including differentiation, integration, and series expansions.

You will gain hands-on experience applying your mathematical knowledge in a professional environment. You'll work with an organisation in an industry such as finance, technology, research, or engineering. This will allow you to tackling real-world problems. You will make use of analytical and computational skills that you have previously gained.

Learn how maths models the motion of fluids and plasmas. Explore flow, waves, and magnetic fields using equations that explain natural and engineered systems. 

Mathematical Statistics is the application of probability theory to statistics. This is an important area, providing useful connections to other areas of Mathematics. Mathematical Statistics has applications across the sciences, business, government, and more. It is a core topic in the growing area of Data Science.

Study how random processes evolve over time. Learn about Markov chains, Brownian motion, and the mathematics of uncertainty in this advanced module. 

Mathematical Statistics is the application of probability theory to statistics. This is an important area, providing useful connections to other areas of Mathematics. Mathematical Statistics has applications across the sciences, business, government, and more. It is a core topic in the growing area of Data Science.

Study a new topic not covered elsewhere in your degree, develop deep technical understanding, and present your findings to peers and non-experts.

Learn how to build and test machine learning models in Python using tools like TensorFlow. Develop the practical coding skills industry needs.