University of Birmingham

Master in Mathematical Modelling - Máster en Modelos Matemáticos

University of Birmingham
  • Imparte:
  • Modalidad:
    Presencial en Birmingham
  • Precio:
    £7,200 (Home/EU students) / £14,850 (International students)
  • Comienzo:
    Septiembre 2017
  • Lugar:
    Birmingham B15 2TT
    Reino Unido
  • Duración:
    1 Año
  • Idioma:
    El Curso se imparte en Inglés
  • Titulación:
    Mathematical Modelling Masters/MSc.
  • Otras Convocatorias:

    Presentación

    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.

    Requisitos

    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.

    Programa

    This course consists of 180 credits.

    Compulsory:

    Mathematical biology
    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
    Continuum mechanics
    Perturbation theory and chaos
    Numerical methods in linear algebra
    Introduction to evolutionary computation
    Intelligent data analysis
    Game Theory
    Mathematical Finance
    Further Mathematical Finance
    Waves
    PDEs and Reaction Diffusion Systems in Chemistry and Biology
    Computation Geometry

    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.

    Salidas profesionales

    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.

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    Publicidad

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