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Physics with Artificial Intelligence at Keele University - UCAS

Keele University

Degree level: Undergraduate

Physics with Artificial Intelligence

Course options

2025 - 2026
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Keele University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

Open days

27Jun
Keele University - Undergraduate Open Day
Undergraduate
28Jun
Keele University - Undergraduate Open Day
Undergraduate
16Aug
Keele University - Undergraduate Open Day
Undergraduate

Course summary

.Physics with Artificial Intelligence at Keele puts you at the cutting edge of technology, where science meets innovation. From learning core physics and computer science concepts to exploring the dynamic world of machine learning, you will gain the knowledge and techniques to create innovative solutions for real-world challenges. From analytical thinking and advanced problem-solving to programming, you will graduate with a toolkit of skills that are in high demand across a wide variety of industries including finance, healthcare and engineering. Why choose this course?

  • Tackle physical problems and real-world challenges using machine learning and artificial intelligence
  • Engage in hands-on learning through interactive workshops, collaborative group activities, and immersive laboratory experiences
  • Gain the problem-solving, experimental, programming and teamworking skills that are highly valued by employers in a broad range of sectors
  • Learn in a supportive environment with innovative learning materials and plenty of tutor support
  • Undertake a research project and professional development activities in preparation for academic research and industry roles
Discover how physics and artificial intelligence are deeply interconnected on our Physics with Artificial Intelligence BSc. Just as physicists develop mathematical models to describe and predict natural phenomena, AI uses similar computational techniques to learn from and interpret vast datasets. This symbiotic relationship means that advances in one field often directly inform and accelerate progress in the other. In your first two years of study, you will build a solid foundation in core physics concepts including gravitation, relativity and quantum physics, while strengthening your computational and problem-solving skills. This will enable you to tackle complex problems that require a deep understanding of physical principles and advanced data analysis techniques. Building on these skills, you will learn the latest methods and research directions in AI, including data science techniques, machine learning applications and computational intelligence. You will then apply these skills and techniques to solve advanced physics problems. Designed to provide you with the specialist skills you will need as a professional, modern physicist, you will benefit from a suite of practical and professional development modules embedded throughout our curriculum. From scientific programming and writing to dedicated career-focused sessions, we will provide you with the knowledge, tools and connections to develop a strong foundation for your future career. About Keele Keele University was established in 1949 by the former Vice-Chancellor of Oxford University. Founded to meet the needs of a changing world, Keele has always had a pioneering vision to be a different kind of university. We excel in both teaching and research, with some of the most satisfied students in England, and research that is changing lives for the better at a regional, national and global level. Our beautiful 600-acre campus is one of the biggest in Britain – but all the most important services and facilities are on your doorstep, with accommodation, teaching spaces, facilities including a medical centre, sports centre and pharmacy, and a range of shops, eateries and entertainment venues – including the Students’ Union – clustered around the centre.

Modules

For information regarding modules for this course, please visit the course page on the Keele University website.

How to apply

29Jan

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:
F3G4
Institution code:
K12
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

Please see our website for our full range of entry requirements

Please click the following link to find out more about qualification requirements for this course

https://www.keele.ac.uk/study/undergraduate/undergraduatecourses/physicswithartificialintelligence/#entry-reqs

Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

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

Please note, our fees for 2025 entry will be available soon. Although we review our fees annually and these may change, our 2024 entry fees are detailed on our course pages, and a summary is available on our website: keele.ac.uk/study/undergraduate/tuitionfeesandfunding/undergraduatetuitionfees/
Physics with Artificial Intelligence at Keele University - UCAS