Teaching and assessment for Mathematics and Physics MSci (Hons)

Mathematics 1A is an introductory mathematics module.

It covers fundamental concepts such as algebra, calculus, and geometry.

The topics covered provide a solid foundation for more advanced studies. Skills covered include:

• learning to solve equations
• understand functions
• analyse graphs

Algebra involves manipulating expressions and solving equations.

Calculus focuses on change and motion, with methods to analyse rates of change and calculate areas under curves.

This module provides a refresh of the maths taught at high school. This will give you the best chance of success with university mathematics.

Mathematics 1B builds on the foundational concepts introduced in Mathematics 1A. You will be introduced to matrices. You will learn about the use of vectors in 3D geometry, integral calculus, and basic differential equations. It ensures you are well-prepared for future studies in a maths or other numerate degree courses.

This module introduces you to statistics and probability. Statistics is the science of collecting, analysing, and interpreting data, and is used to draw conclusions from data. Probability is the study of chance and randomness which can be used to predict the likelihood of an event occurring.

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

Apply the laws of physics to understand orbits, the formation and evolution of stars, and the structure of galaxies and the Universe as a whole. 

This module will provide you with a broad overview of astronomy. You will learn how to apply physical laws to understand observations. 

Explore how forces, fluids, and waves shape the world around you. From sound and pendulums to fluid pressure and resonance, this is physics and engineering in action. 

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.

Previously seen concepts such as linear independence, basis and null spaces are explored. This will be in the context of matrix algebra.

Concepts such as determinants and eigenvalues will be introduced.

Learn about partial derivatives and their properties.

Study integration of multi-variable functions including techniques such as change of variables.

Electromagnetism and light describes the physics of electric and magnetic fields and how they they are connected. This module explores electricity, electromagnetism, and light to provide you with an understanding of the physics underpinning most technology.

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

The microscopic and sub-atomic world is described by quantum mechanics, and nuclear and particle physics.

This module explores how materials behave in thermal physics and condensed matter physics.

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 will cover this from a personal, academic, and professional perspective.

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

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

Learn about the behaviour of matter and energy at the atomic and subatomic levels.

This module is the first in a series. It will help you build a fundamental understanding of quantum mechanics.

Investigate fundamental aspects of electricity and magnetism, including Maxwell’s equations. Study currents and charges, and how electric and magnetic fields interact and propagate.

Explore how motion, forces, and energy work at every scale. From rotating systems to time dilation, this module links classical mechanics with relativity.

Explore the physics of the nucleus, particle interactions, and nuclear fusion. Learn how nuclear physics shapes everything from the stars to clean energy solutions. 

Thermal physics explains how energy moves and why some processes happen while others don’t. You’ll explore engines, gases, entropy, and the laws of heat.

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

This module continues your supervised, independent project that was started in the module Physics Research Project I (PH50009), allowing you to show greater independence and understanding.

Your project will likely be embedded in an active research group. Project topics include medical physics, microscopy, astrophysics, condensed matter physics, and computational biophysics.

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

​​You will be introduced to the basics of the modern theoretical framework of statistical physics. This will cover: 

• ​classical and quantum statistical mechanics of non-interacting particles 
• ​black body radiation and Planck’s formula 
• ​Debye theory of solids 
• ​Sommerfeld expansion 
• ​Bose-Einstein condensation 
• ​thermodynamic phase transitions 
• ​Landau theory of phase transitions 
• ​stochastic processes 

​You will gain the basis for postgraduate-level study in condensed matter and many-body physics.​