Supercomputers represent the frontier of numerical research. They need special programming so they can be used for simulations and extracting information from big data. As an expert in high performance computing (HPC), you will understand the logic and define the algorithms to harness this technology. The course covers simulations and data analysis including extracting information from big data. Complete this degree through a project on our HPC cluster with the help of a leading expert.
Weâre very proud of being top in the Guardian Mathematics University League Table for 2019 for satisfaction with the course. We are also fourth for satisfaction with mathematics teaching. This is part of a record of students regularly saying that they enjoy our degrees and teaching.
* Master the algorithms and logic underlying programming using Python (a modern, object-orientated, programming language), Matlab, the statistics language R and Simul8.
* Carry out a project on our local supercomputer, helped by a leading expert in high performance computing.
* Pure and applied mathematics, modules in probability and options in theoretical physics: get to grips with the foundations of modern mathematics.
* Study at a recognised NVIDIA GPU research centre and a NVIDIA teaching centre. Our GPU research facility is used to solve problems including the mass gap of Yang-Mills theory, Lattice-Boltzmann methods for fluid flow, Markov Chain Monte Carlo applications in statistics and data analysis, lava flow simulation, game theory and cyber-security.
* Benefit from outstanding teaching: in the 2018 National Student Survey 99% of our final year students said that 'Staff are good at explaining thingsâ. This is part of a proud track record of success in the National Student Survey (NSS). We are top of the 2019 Guardian Mathematics League Table for satisfaction with the course.
* Leading research experts teach you: 68% of our research papers were classified as âWorld Leadingâ or âInternationally Excellentâ in the latest UK government survey of research (REF 2014).
* Expand the ways you study with access to an extensive set of online support materials, including podcasts and eBooks.
* Our doors are open, we have a dedicated study space, the Maths Lab, clickers for immediate feedback in class â in short, we support you to reach your full potential.
* Become a confident, effective communicator, able to present your ideas visually, verbally and in writing. Small group tutorials help you acquire these skills. In the 2018 National Student Survey 99% of our final year students agreed that 'I have had the right opportunities to work with other students as part of my courseâ.
* Increase your employability with a strongly-recommended, paid industry placement between the second and final years. Recent employers include GlaxoSmithKline, the Department of Communities and Local Government, VirginCare, Visteon and Jagex. Progress, like our previous graduates, into careers in research, work in the Met Office, GCHQ, finance and industry or postgraduate degrees in applied mathematics.
* Accredited by the Institute of Mathematics and its Applications, your degree sets you on a path to Chartered Mathematician (CMath) status.
In year 1 you'll acquire a solid foundation through mastering calculus and analysis, linear algebra and numerical methods. Investigate the rules of probability and concepts of randomness. Weâll introduce programming using Matlab and R. New material includes an introduction to logic and methods of proof and the number theory underlying public key cryptography, which you use every time you purchase something online. You'll also study branches of pure mathematics such as group theory and graph theory.
In year two mathematical computing prepares you for programming at supercomputer level and will teach you an object oriented language and the paradigms of parallel programming. Youâll master numerical sampling Monte Carlo techniques for evaluating problems where deterministic methods break down. Expand your mathematical skills with modules including advanced calculus techniques and mathematical statistics. A differential equations module allows you to solve problems both analytically and numerically.
The final year focuses on an individual project using our high performance computing (HPC) machines, supervised by a leading researcher in applying HPC to problems in theoretical physics, engineering, medical sciences and finance. A group project module will see you working in a team to solve real world challenges. Youâll study partial differential equations, which includes modelling car crash tests and tsunami wave propagation. Round off your studies by choosing from a number of optional modules including fluid dynamics, optimisation, financial modelling and statistical data analysis.
The modules shown for this course or programme are those being studied by current students, or expected new modules. Modules are subject to change depending on year of entry.
Application deadline details:
If you're looking for a uni with great new facilities, a wide range of courses and supportive staff, based in a city with great night life, places to eat and shops- but also less than an hour from some great beaches or rural Dartmoor, then Plymouth might just be what you are after. Plymouth offers a wide range of courses, with some more specialist options, especially relating to marine and coastal engineering and science- and the SU has a huge range of societies and sports to join, so you're bound to find something that matches your interests.
Provisional for Year 1 for Channel Islands at £9,250
Provisional for Year 1 for England at £9,250
Provisional for Year 1 for Scotland at £9,250
Provisional for Year 1 for Wales at £9,250
Provisional for Year 1 for Northern Ireland at £9,250
Provisional for Year 1 for EU at £9,250
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