This course offers an ideal blend of physics theories and computer science applications for those intrigued by how the world operates and the technologies that shape it. Delivered by award-winning academics from the Schools of Physics and Astronomy and Computer Science, it develops expertise in mathematical modelling, programming, software engineering, AI, and machine learning, ensuring graduates are career-ready. With 91% of undergraduates securing employment or further study within 15 months, and over 30% of physics BSc graduates entering programming roles (HESA Graduate Outcomes, 2020), top employers include Experian, Rolls Royce, Accenture, and BAE Systems. The programme is also available as an integrated MSci (UCAS code F4G4).The first two years emphasise physics knowledge, covering topics like medical physics, nanoscience, and astronomy, while introducing Python programming. The third year delves into computer science, and the final year explores advanced areas such as atomic, nuclear, particle, and solid-state physics, culminating in a supervised research project involving experiments or computational work. This course does not award Qualified Teacher Status (QTS).
The first two years of your course focus on your knowledge in Physics, while your third year will advance your computational skills. You can apply these to your physics research project in the final year. In year one, you'll learn about cutting-edge research topics spanning from medical physics, nanoscience, and astronomy, and build your skills in programming using the Python language. In year two, you'll study core theories of physics, as well as develop your lab skills and experimental techniques. The third year goes into depth on computer science, starting with a deep dive into computer programming using the Python language. Expanding on your knowledge of core physics, your final year will cover atomic, nuclear, particle and solid-state physics. You'll work in pairs on a research project, supported by a supervisor. You'll design and carry out your own experiments, calculations or computational work.
A local representative of University of Nottingham in Singapore is available online to assist you with enquiries about this course.