A person sat at a bench, there is a green laser projecting along on the bench.

Teaching

Most of your teaching takes place in small groups with easy access to staff and a personal approach to lectures, tutorials, and practical work.  You will carry out your experiments in purpose-built labs.

Assessment

A variety of assessment methods are used:

  • coursework
  • laboratory reports
  • exams
  • discussions about what you have achieved

Core Modules

These modules are an essential part of your course.

Module code: EG11008 Credits: 10 Semester: Semester 1

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: PH31005 Credits: 15 Semester: Semester 1

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.

Core Modules

These modules are an essential part of your course.

Module code: PH40006 Credits: 30 Semester: Both Semester 1 and 2

This module allows you to undertake a supervised but independent project that is laboratory-based, computational, or theoretical. You will develop your reasoning, time management, and research skills.

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

Core Modules

These modules are an essential part of your course.

Module code: MA52007 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.

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