Physics with Artificial Intelligence (Industrial)
About this course
MPhys, BSc in Physics with Artificial Intelligence (Industrial), a physics and artificial intelligence degree focused on computational methods and physical theory. Core topics include Research Methods and Artificial Intelligence & Machine Learning. The programme includes an optional industrial placement year. The second year covers foundational computational and practical work through Foundation of AI: Machine Learning for Scientists and Physics with Artificial Intelligence Laboratory. The fourth year advances into specialized technical content via Advancing AI: Deep Learning for Scientists and Advanced Techniques in Physics with AI, alongside optional modules such as Advanced Quantum Physics and Cosmology. The final year culminates in the Integrated Masters Research Project and Advanced topics of AI, with further options including Quantum Field Theory and General Relativity.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
Entry requirements
A level: AAA BTEC: BTEC qualifications in relevant disciplines are considered in combination with A Level Physics and Mathematics. Applicants should contact the School to discuss. IB: 18 points at Higher Level to include 5 in Higher Level Physics and 5 in Higher Level Mathematics.
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What students say
Based on about 32 final-year students who answered, across similar courses at this university
- Teaching on my course: 73%
- Learning opportunities: 80%
- Assessment and feedback: 77%
- Academic support: 88%
- Organisation and management: 80%
- Learning resources: 90%
- Student voice: 76%
Do students stay on the course?
Based on about 15 students who started, across similar courses at this university (a small group: a rough guide only)
- Continued on course: 95%
- Left higher education: 5%
What graduates do next
Based on about 44 graduates who answered, across similar courses at this university
- Working: 79%
- Working and studying: 4%
- Further study: 5%
- Unemployed: 10%
Most common jobs
- Information Technology Professionals: 20%
- Business, Research and Administrative Professionals: 20%
- Business and public service associate professionals: 15%
- Natural and social science professionals: 10%
- Skilled trades occupations: 5%
- Find their work meaningful: 85%
- Feel on track for their future plans: 90%
- Use what they learnt on the course: 85%
Where graduates work (5 years on)
Based on about 70 graduates, across similar courses at this university
- North East: 6%
- North West: 10%
- Yorkshire and the Humber: 50%
- East Midlands: 1%
- East of England: 8%
- London: 15%
- South East: 6%
- South West: 4%
- Wales: 1%
Who gets in
Based on about 10 students who started, across similar courses at this university (a small group: a rough guide only)
- A levels: 100%
Accreditation & quality ratings
TEF 2023 (whole university): Silver overall, Bronze for student experience, Silver for student outcomes.
Modules
- Foundation of AI: Machine Learning for Scientists
- Physics with Artificial Intelligence Laboratory
- Advancing AI: Deep Learning for Scientists
- Advanced Techniques in Physics with AI
- Advanced Quantum Physics
- Quantum Matter
- Advanced Optics with Photonics
- Magnetism and Ferroic Materials
- Theoretical Elementary Particle Physics
- Advanced Mechanics
- Molecular Simulation with Machine Learning: Theory and Practice
- Star and Planet Formation
- Cosmology
- Physics in Schools
- Group Innovation Project
- Integrated Masters Research Project
- Advanced topics of AI
- Soft Matter Physics: Liquid Crystals
- Quantum Field Theory
- Winds, Bubbles and Explosions
- Advanced Bionanophysics Research
- Quantum Information Science and Technology
- Current Research Topics in Physics
- Physics of Biological Systems
- Exoplanetary Systems
- Quantum Many-Body Physics
- Soft Matter Physics: Polymers, Colloids and Glasses
- General Relativity
- Superconductivity
- Advanced Physics in Schools
- Group Innovation Project in Sustainability
Questions about this course
How much do graduates of Physics with Artificial Intelligence (Industrial) at University of Leeds earn?
The median salary is £34,000 after 15 months, £39,500 after 3 years, £46,500 after 5 years. After five years the middle half of graduates earn between £33,500 and £64,000. The £46,500 median after five years is £8,000 more than the UK median for Physics.
What do graduates of Physics with Artificial Intelligence (Industrial) at University of Leeds do next?
88% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on Physics with Artificial Intelligence (Industrial) at University of Leeds?
73% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for Physics with Artificial Intelligence (Industrial) at University of Leeds?
The typical offer is AAA at A level. The average entrant had 160 UCAS points.
How many students continue on Physics with Artificial Intelligence (Industrial) at University of Leeds?
95% of students continued into their second year, and 5% left higher education.