MPhys (Hons) Physics with Computing

Our MPhys in Physics with Computing allows you to combine the study of physics with key aspects of computing and mathematics to develop a powerful skillset. Recent placements have included roles in fibre-optic oil well monitoring and applications of high temperature superconductors and have involved companies and research facilities such as: IBM (UK) Ltd, British Gas, Siemens AG (Germany), Rutherford Appleton Laboratories, FZ Jülich (Germany), Institut Laue Langevin Grenoble (France). Gravitational wave detection, imaging black holes, controlling large experiments, modelling complex systems to mars rovers and space travel all rely on computational physics and data science. Indeed, there is no area of modern physics where state-of-the-art computing is not important. The toolbox of a computational physicist includes a firm grounding in physics itself supported by numerical analysis, computational modelling, mathematical data science, hardware control, big data analysis, and artificial intelligence. Our Physics with Computing degree will provide a solid understanding of core physics with an emphasis on theory, and on the formulation and solving of physics problems using mathematical data science and computing. In addition to the core physics course you will also be able develop skills in relevant aspects of computer science such as data structures, algorithm design, artificial intelligence, big data, and optimisation as well embedded systems. The combined skillsets of physics, computing and mathematics are not only a satisfying combination in their own right, but they also develop a set of skills highly sought-after in both research and industry.

Our MPhys in Physics with Computing allows you to combine the study of physics with key aspects of computing and mathematics to develop a powerful skillset. Recent placements have included roles in fibre-optic oil well monitoring and applications of high temperature superconductors and have involved companies and research facilities such as: IBM (UK) Ltd, British Gas, Siemens AG (Germany), Rutherford Appleton Laboratories, FZ Jülich (Germany), Institut Laue Langevin Grenoble (France). Gravitational wave detection, imaging black holes, controlling large experiments, modelling complex systems to mars rovers and space travel all rely on computational physics and data science. Indeed, there is no area of modern physics where state-of-the-art computing is not important. The toolbox of a computational physicist includes a firm grounding in physics itself supported by numerical analysis, computational modelling, mathematical data science, hardware control, big data analysis, and artificial intelligence. Our Physics with Computing degree will provide a solid understanding of core physics with an emphasis on theory, and on the formulation and solving of physics problems using mathematical data science and computing. In addition to the core physics course you will also be able develop skills in relevant aspects of computer science such as data structures, algorithm design, artificial intelligence, big data, and optimisation as well embedded systems. The combined skillsets of physics, computing and mathematics are not only a satisfying combination in their own right, but they also develop a set of skills highly sought-after in both research and industry.