Physics (EuroMasters)

This Physics (EuroMasters) MSc program offered at Queen Mary University of Londonoffers you unparalleled freedom and opportunity in your studies. You'll be able to choose between different streams and tailor your MSc degree, according to your interests. We offer the followingstreams(please click into each for a list of modules).

What you'll study

You’ll deepen your understanding of your specialism (either physics or astrophysics) in your first year by choosing modules from a wide variety of topics at the forefront of fundamental and applied physics research. This is a highly flexible program that can be tailored to your specialist interests as you develop them - you will be able to choose modules in a variety of study areas offered by the School, including growth areas such as Machine Learning.

You can view the full list of modules available on each pathway below:

• Theoretical Physics
• Condensed Matter Physics
• Particle Physics
• Astrophysics

In your second year you’ll join one of our research groups - which may include working in a research laboratory such as CERN or RAL. We’ll put you in contact with a member of that research group to decide your precise research topic before you arrive. We have four main research centres:

• Particle Physics Research Centre
• Centre for Research in String Theory
• Centre for Condensed Matter and Materials Physics
• Astronomy Unit

This Physics (EuroMasters) MSc program offered at Queen Mary University of London is available within theSouth East Physics university network(SEPnet) - and can be studied through any of the universities within the network, or through two of the universities. This means you can apply to spend your first or second year with Queen Mary or to spend both years with us. The Institute where you spend your second year will award your EuroMasters degree. State your preferred combination in your application.

Courses include:

• Advanced Cosmology

• Advanced Quantum Field Theory

• Stellar Structure and evolution

• Radiative Transfer and Astrochemistry

• Deep Learning