Entry requirements

Minimum 2:1 undergraduate honours degree in a relevant subject with relevant modules. For example, a BSc Physics or BSc Mathematics programme, or equivalent.

We look for applications that demonstrate a relevant background in applied mathematics and/or theoretical physics.

An interest in fundamental physics is essential. As a minimum, a successful applicant will have demonstrated aptitude in the methods of calculus, Newtonian mechanics, and mathematical modelling.

Other relevant subject areas include relativity, quantum mechanics and electrodynamics.

Months of entry

September

Course content

Work with experts to tackle some of the biggest ideas in science and expand your understanding of advanced mathematical tools.

Course description

Our MSc Mathematical and Theoretical Physics course is designed to equip you with advanced mathematical tools that can be applied in major areas of scientific intrigue, from black holes and dark matter to quantum computing and general relativity.

Through our Mathematical and Theoretical Physics MSc you’ll develop the problem solving and data analysis skills that employers value in a variety of careers, including research, computing, data science, banking and finance, consultancy and public administration.

Whether you want to advance your understanding of the topics you found most interesting during your undergraduate studies or gain the skills needed to achieve your goals, our wide range of optional modules allow you to focus on the topics that are most important to you.

You’ll have the opportunity to explore optional modules ranging from machine learning, financial mathematics, and mathematical modelling to quantum field theory, particle physics and cosmology.

You’ll spend around a third of your time working on your own research project, under the supervision of an active researcher who is an expert in their field. You’ll blend theoretical knowledge with practical skills, developing valuable project planning skills. You’ll also learn how to present mathematical, statistical and technical information, and gain experience communicating your findings verbally and in writing.

Examples of recent dissertation topics include: