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Physics with Artificial Intelligence with Foundation Year

1 Study option · UndergraduateMain Site

Course summary

Foundation Year

Our Foundation Year provides an excellent alternative route to Keele, providing a unique opportunity to better prepare for your chosen degree, and with guaranteed entry onto your undergraduate course once you successfully complete your Foundation Year. This extra year of study can improve your academic skills, expand your subject knowledge, give you a better understanding of higher education and, perhaps most importantly of all, build your confidence. On the Keele Foundation Year, you'll study on campus, joining our undergraduate community from the outset, with access to all the facilities and support that you'd get as an undergraduate student at Keele.

International Students

For International Students, Foundation Years are delivered through our dedicated on-campus provider, Keele University International College. To find out more, visit https://kuic.keele.ac.uk/

Physics with Artificial Intelligence
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 Physics with Artificial Intelligence at Keele?

  • 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

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.

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.

How to apply

Application codes

Course code:
F3G5
Institution code:
K12

Open days

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.

Student Outcomes

Operated by the Office for Students

55 Employment after 15 months (Most common jobs)

80 Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

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