Course summary

Have you ever wondered how black holes form and what they look like on the inside? Do you want to know how the universe started or what is its fate? Have you ever imagined extra dimensions, new particles or new interactions? This MSc will help you understand how the universe works on the largest and the smallest scales. This provides a solid foundation for advanced mathematics and the remarkable physics of: general relativity quantum gravity black holes differential geometry particle physics quantum field theory quantum information cosmology and the early universe You'll be taught by world-leading researchers from the Nottingham Centre of Gravity (NCoG). Straddling the Schools of Mathematical Sciences and Physics and Astronomy, the centre is focused on six pillars of modern research; fundamental physics, mathematics, cosmology, relativistic astrophysics, experiment and modelling. This MSc is closely linked to that research programme, with particular emphasis on all aspects of gravity, cosmology, and particle physics. As a postgraduate member of NCoG you will be part of a vibrant academic community and be introduced to contemporary ideas via weekly research seminars by external speakers. You will also attend regular colloquia, delivered by renowned international researchers and bi-termly NCoG workshops. Many of the lecturers are celebrated science communicators who present on award-winning YouTube channels such as Numberphile and Sixty Symbols. They have also written popular science books (Fantastic numbers and where to find them) and feature on Netflix documentaries . A highlight of the masters is the research dissertation which allows you to work directly with one of our experienced researchers on a topic of current interest. This could range from quantum gravity or cosmic inflation to gravitational waves or creating analogue black holes in the lab. This masters is excellent preparation for a PhD in a related area. For those currently in employment, the MSc provides a route back to academic study. Throughout the degree you can also develop transferable skills for roles in engineering, industry and technology including: Scientific computation and modelling Coding and data analysis Logical reasoning and analysis Presentation and communication with clarity Project and time management