York’s four-year MPhys Theoretical Physics equips you with the mathematical and computational tools to explore phenomena that experiments alone cannot easily explain. It suits students who enjoy abstract problem-solving and want to develop advanced skills in modelling, simulation, and research, preparing them for both academic and industry careers.
Curriculum Structure
Year 1
Your first year consolidates core physics knowledge while introducing computational and theoretical skills. You’ll study Classical Mechanics and Laboratories, Classical and Quantum Waves, Electromagnetism and Relativity, and Mathematical, Computational and Professional Skills. Alongside these, you’ll complete the Theoretical Skills and Laboratories module and York’s Academic Integrity training, ensuring you’re ready for independent study.
Year 2
In the second year, you’ll deepen your understanding of fundamental laws and processes while advancing your programming and analytical skills. Core modules include Thermodynamics and Electromagnetism, Mathematical Techniques and Machine Learning, Statistical and Solid State Physics, and Quantum, Atomic, Nuclear and Particle Physics. You’ll also take Advanced Mechanics and Computational Laboratories and Skills, applying theory to practical computational problems.
Year 3
Year three introduces advanced theoretical concepts and gives you freedom to specialize. You’ll complete Advanced Theoretical Techniques and Modelling Matter and Advanced Computational Laboratory, while choosing four option modules such as Plasma Physics and Fusion, Quantum Mechanics, Relativity and Cosmology, or Condensed Matter Physics: Electrons in Solids. This year prepares you for independent research by combining advanced lab work with specialist study.
Year 4
Your final year focuses on independent research through the MPhys Research Project and Skills module. Under academic supervision, you’ll design and carry out original investigations—recent projects have included modelling plasmas for fusion energy, Bose-Einstein condensates, and nanoparticle systems. You’ll also select three advanced option modules such as Scientific Supercomputing, Advanced Quantum Mechanics, Cosmic Horizons, or Nanotechnology: Advanced Data Storage and Spintronics.
Focus Areas
Theoretical Physics, Computational Modelling, Quantum Mechanics, Relativity, Plasma Physics, Cosmology, Machine Learning.
Learning Outcomes
Graduates will be able to:
Professional Alignment (Accreditation)
The program is accredited by the Institute of Physics (IOP), putting you on track to become a Chartered Physicist.
Reputation (Employability Rankings)
At York, theoretical physics is brought to life through hands-on research, advanced computational training, and access to world-class facilities. You’ll gain practical skills by working in specialist laboratories, using high-performance computing systems, and collaborating on group projects that mirror real-world scientific challenges. The program ensures you graduate not only with deep theoretical knowledge but also with the practical expertise employers and research institutions demand:
Graduates of York’s MPhys Theoretical Physics are equipped with advanced mathematical, computational, and analytical skills that open doors across science, technology, and beyond. Typical career paths include research scientist, data analyst, software engineer, and financial modeller, with many alumni also entering engineering, IT, and education. This program prepares you for both specialist scientific careers and broader sectors where quantitative expertise is valued:
Further Academic Progression
After completing the MPhys, you’ll be well-prepared to continue into advanced study. Many graduates pursue PhD research in theoretical physics, cosmology, or quantum technologies, while others choose specialist MSc programs in areas such as data science, machine learning, or applied mathematics. York’s strong research environment and international partnerships ensure you’ll have excellent opportunities to progress into academia or high-level research careers worldwide.



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