Physics with Artificial Intelligence (MPhys)

Are you interested in physics and computer science, but finding it hard to decide which one to study? This course will allow you to study both.

Get an introduction to modern physics, computer science, machine learning and artificial intelligence (AI) with our master's degree.

You'll work towards understanding the main branches and principles of physics, as well as topics in the growing trend of AI. Study advanced concepts and techniques, such as quantum science and relativity. Learn the techniques needed to design the next generation of experiments and solve complex problems in the modern world.

This course is informed by the latest research and taught by physicists and computer scientists with an outstanding international reputation. You'll be able to tailor your learning to deepen your knowledge of physics and AI, as well as subjects such as electronics and computer science.

You'll also develop transferable skills to suit a wide range of other careers, including:

• problem solving
• critical and quantitative analysis
• practical experimentation and measurement
• personal organisation and teamwork
• finding and using information
• written and oral presentation
• data processing and analysis
• computing and numeracy skills, such as word processing, internet-based research and programming

Facilities, societies and networks

As a physics and AI student, you'll be able to access our high-performance computing facilities.

If you’d like to socialise with other students, you can join the Physics Society and Astronomy Society. We also host the award-winning Women’s Physics Network, which is open to all genders.

Career opportunities in physics and AI

Our physics with AI master's degree will help you prepare for a successful career as a physicist, creating employment opportunities and enabling further study towards a PhD.

The course is also suitable for students who are looking to build on their scientific background, with specific training in machine learning and the application of artificial intelligence in physics among other fields.

As part of the South East Physics Network (SEPnet), we will work with you to gain valuable work experience during the course.

Previous students have completed paid internships with organisations including:

• National Physical Laboratory
• BMW
• Met Office
• SELEX Galileo
• QinetiQ
• Culham Centre for Fusion Energy

Scholarships available

We have an academic scholarship scheme offering up to £20,000, plus an unconditional offer to study at Southampton. Scholarship applicants are assessed through a competitive exam, which you can take at one of our applicant visit days.