Date of entry

September 2026

A group of students sat round a table having a discussion, one is also writing in a notebook.

Teaching

You will learn by traditional methods such as:

  • lectures
  • tutorials
  • practical lab sessions
  • computer lab classes
  • problem classes

You will also meet regularly with an academic adviser of studies who will provide guidance and support throughout your degree.

Assessment

Our methods of assessment include:

  • exams
  • extended assignments
  • weekly problems
  • formal reports
  • practical lab work
  • in-class presentations as individuals and/or groups
  • practical research methods

Core Modules

These modules are an essential part of your course.

Module code: EG11008 Credits: 10 Semester: Semester 1

Mechanics is all about understanding how and why things move.

From falling apples to car crashes, from rockets in space to spinning wheels, mechanics explains it all.

Core Modules

These modules are an essential part of your course.

Module code: MA21001 Credits: 20 Semester: Semester 1

You will learn about a key structure called a vector space.

Some of the simplest vector spaces are subsets of the 3-dimensional space in which we live. There are many other sets that share this structure.

You will learn more about solving differential equations.

Core Modules

These modules are an essential part of your course.

Module code: MA31002 Credits: 15 Semester: Semester 1

This module explores an area of calculus involving derivatives of functions. Derivatives give the rate of change of a function. For example, speed is the rate of change of distance, while acceleration is the rate of change of speed. Differential equations are equations that involve functions and their derivatives.

Core Modules

These modules are an essential part of your course.

Module code: MA41006 Credits: 15 Semester: Semester 2

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

Optional Modules

You need to choose one or more of these modules as part of your course.

Module code: MA42008 Credits: 15 Semester: Semester 1

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.

Core Modules

These modules are an essential part of your course.

Module code: PH50006 Credits: 25 Semester: Both Semester 1 and 2

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

Optional Modules

You need to choose one or more of these modules as part of your course.

Module code: MA51005 Credits: 15 Semester: Semester 1

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

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