Physics with Artificial Intelligence Keele University

Overview

The Physics with Artificial Intelligence BSc (Hons) at Keele University provides a cutting-edge education at the intersection of physical science and innovative technology. This programme is designed to equip students with a deep understanding of the natural world alongside the computational tools required to model it. By integrating these disciplines, the curriculum ensures graduates are prepared for the rapidly evolving demands of modern industry.

During the initial stages of the degree, you will establish a robust foundation in fundamental physics, exploring topics such as quantum mechanics, gravitation, and relativity. Simultaneously, you will develop essential programming and mathematical skills. This dual focus allows you to approach complex problems with both theoretical insight and practical data analysis capabilities.

Why Physics with Artificial Intelligence at Keele University?

• Study a programme accredited by the Institute of Physics, ensuring high academic standards and professional recognition.
• Access state-of-the-art facilities, including the Central Science Laboratories and high-performance computing clusters.
• Benefit from teaching at an institution ranked in the Top 10 in England for Physics according to the National Student Survey 2025.
• Enhance your employability through optional placement years in industry or opportunities to study abroad at partner institutions.

Tuition Fee Breakdown

• International fee: GBP 18200 per year
• National fee: GBP 2026 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

• Gravitation, Relativity and Matter
• Electricity, Magnetism and Waves
• Mathematics for Physics
• Practical and Academic Skills
• Scientific Programming
• Computer Systems
• Optics and Thermodynamics
• Quantum World
• Nuclear Physics

Careers with Physics with Artificial Intelligence

Graduates from this programme are highly sought after due to their unique blend of analytical and computational expertise. The skills acquired are applicable across a diverse range of sectors, from fundamental research to commercial technology development. You will be prepared for roles that require sophisticated problem-solving and data interpretation.

Common career destinations for graduates include:

• AI Data Analyst
• Data Scientist
• Communications Engineer
• Renewable Energy Engineer
• Medical Physicist within the NHS
• Academic Researcher
• Robotics Specialist

Furthermore, the rigorous mathematical training provides a strong pathway into the finance, law, and education sectors, or for further postgraduate study at Master's or PhD level.