Keele University - Undergraduate Open Day
26 Jun 2026, 08:00
Keele
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.
This course may be available at alternative locations, please check if other course options are available.
Course optionsThis 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.
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.
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