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Physics with Artificial Intelligence

MPhys · University of Southampton · 4 years

Physics with Artificial Intelligence

55

University of Southampton

AI IMPACT
MEDIAN PAY, 15 MOnot published
SATISFACTION84%
CONTINUATION91%
PROFESSIONAL JOBS90%
DESTINATION-WEIGHTEDAI is already used for about 55% of the work its graduates go into (High).

About this course

Physics with artificial intelligence is a degree that reflects the profound way machine learning and computational methods are reshaping scientific research. Physics is the discipline concerned with the fundamental laws governing matter, energy, space and time, and it has always been a field of deep mathematical and computational sophistication. AI and machine learning are now being used across physics to analyse vast datasets from particle accelerators and telescopes, to model complex physical systems, to design experiments and to discover patterns that no human analyst could find unaided. This programme trains you to work fluently in both domains. At Southampton this four-year full-time programme takes you through the core content of an MPhys degree, covering classical and quantum mechanics, electromagnetism, thermodynamics, special relativity and advanced mathematical methods. The AI

Where its graduates go

The 5 largest scored destinations, covering 97% of graduates; the headline also reflects the subject baseline.

  • 72 / 100Information Technology Professionals · 72% of graduatescards →
  • 60 / 100Business, Research and Administrative Professionals · 5% of graduatescards →
  • 55 / 100Administrative occupations · 5% of graduatescards →
  • 48 / 100Business and public service associate professionals · 10% of graduatescards →
  • 40 / 100Sales occupations · 5% of graduatescards →

The tabs above carry the rest: modules and satisfaction (The Course), where you'd live and what it costs (Student Life), the full pay story (Pay & Outcomes), and easier ways into the same subject (Alternatives).

MORE ON THIS COURSEClassic profile (reviews, comparisons, open days, campus video) · this course as data. Measured August 2026; pay, satisfaction and continuation figures are the course's own published data (HESA GO / LEO / NSS).