Doctorado en Métodos Matemáticos y Simulación Numérica
Most things in the real world are complex and difficult to understand, from biological systems to the financial markets to industrial processes, but explaining them is essential to making progress in the modern world. Mathematical modelling is a fundamental tool in the challenge to understand many of these systems, and is an essential part of contemporary applied mathematics. By developing, analysing and interpreting mathematical and computational models we gain insight into these complex processes, as well as giving a framework in which to interpret experimental data.
To fully capitalise on these tools, there is a fundamental need in both academic research and industry for a new generation of scientists trained to work at the interdisciplinary frontiers of mathematics and computation. These scientists require the ability to assimilate and understand information from other disciplines, communicate with and enthuse other researchers, as well as having the advanced mathematical and computational skills needed.
The programme is for strong (1st, 2.1 or equivalent) BSc or MSci graduates from programmes in mathematics, or programmes with advanced mathematical components, including physics and some engineering subjects, who wish to study interdisciplinary research at the interfaces of mathematics and computation.
This course consists of 180 credits.
Computational methods and frontiers
Research skills in mathematical modelling
Research frontiers in applied mathematics
Optional modules will be from the following courses (subject to availability):
Partial Differential Equations
Computational tools for modelling and analysis
Bioscience for graduates from other scientific disciplines
Essentials, Ideas and Techniques of Biology
Viscous flow with applications
Perturbation theory and chaos
Numerical methods in linear algebra
Introduction to evolutionary computation
Intelligent data analysis
Further Mathematical Finance
PDEs and Reaction Diffusion Systems in Chemistry and Biology
These courses are assessed by a mixture of written examinations (usually 75-80%, taking place in May/June) and coursework, typically involving homework, computer or wet laboratory practicals or in-class assessment. Pleaase note that not all optional modules may be available.
The summer research skills project involves working closely with supervisors from both Mathematics/Computer Science and another discipline such as biosciences, chemical engineering or medicine on a modelling project. You will produce a substantial dissertation, and will present your work in an oral presentation. Additional assessment will require participation in problem-solving workshops and peer group learning in order to prepare you for ‘real life’ work as a research scientist.
This course is tailored to train students for careers in scientific research, and for employment in a wide range of industrial contexts, for example biotechnology, industrial engineering or the pharmaceutical industry. There is a considerable need for scientists with a strong mathematical and computational background who can communicate with experimental scientists; this MSc will provide you with specialised training, and through your research skills project, evidence that you can work in this multidisciplinary context.
Further transferrable skills developed through this course include team-working, oral and written presentation, problem-solving and time-management, particularly developed through the summer research skills project. Additional careers support is available through the School of Mathematics and from the University´s career support team.