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Physics with Artificial Intelligence

Course details
  • Master of Physics (with Honours) – MPhys (Hons)
  • 4 Years
  • Full-time
  • 23/09/2026
  • Undergraduate
Course location
Main Site

Course summary

Physics is the most fundamental of all sciences, delving into the way the world around us works to provide technological advances and innovations for centuries.

From developing cancer treatments and artificial intelligence to answering the foundational questions of the universe, physics and physicists have had a significant impact across a variety of different industries – which is why it’s still such a sought-after and relevant discipline today.

Our Physics with Artificial Intelligence course blends core physics principles with advanced AI techniques, giving you the tools to tackle complex scientific challenges through a combination of theoretical knowledge and practical application. From analysing vast datasets to enhancing simulations and automating experiments, AI transforms how physicists model, predict, and interpret physical phenomena. You’ll explore how machine learning and neural networks accelerate discoveries in quantum mechanics, astrophysics, and material science while improving the accuracy and efficiency of computational models.

How to apply

Apply by
14 January

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
F315
Institution code:
L23
Campus name:
Main Site
Campus Code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Open days

Entry requirements

A level

AAA

Contextual admissions

Universities and colleges consider more than grades when assessing applications and may make offers based on a range of criteria. Learn more about contextual offers.

If the most common grade accepted is higher than our entry requirements, this is due to the attainment of our applicants. If you have been made an offer and you meet or exceed the grades of your offer, you will be accepted.

If grades lower than our entry requirements have been accepted, in most cases this is because we operate contextual admissions as part of our decision making, which considers factors beyond grades. For more information about contextual admissions, please visit our website.

Learn more on the University of Leeds website

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

For further information please see http://www.leeds.ac.uk/undergraduatefees

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