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MSc Mathematical Modelling

  • DeadlineStudy Details:

    MSc 1 year full-time, 2 years part-time

Course Description

This MSc provides an ideal foundation for students wishing to advance their mathematical modelling skills. The programme teaches students the basic concepts which arise in a broad range of technical and scientific problems and illustrates how these may be applied in a research context to provide powerful solutions.

Students develop an understanding of the processes undertaken to arrive at a suitable mathematical model and are taught the fundamental analytical techniques and computational methods used to develop insight into system behaviour. The programme introduces a range of problems – industrial, biological and environmental – and associated conceptual models and solutions.

Who this course is for

The programme is aimed at students with a background in a highly numerate discipline who wish to advance their mathematical modelling skills. Successful students will be well placed to satisfy the growing demand for mathematical modelling in commerce and industry, and will learn and practise the skills necessary to pursue further research.

Entry Requirements

A minimum of an upper second-class Bachelor’s degree in a relevant discipline from a UK university or an overseas qualification of an equivalent standard.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

Student Destinations

Finance, actuarial and accountancy professionals are constantly in demand for their high-level mathematical skills and recent graduates have taken positions in leading finance-related companies such as UBS, Royal Bank of Scotland, Societe Generale, PricewaterhouseCoopers, Deloitte, and KPMG.

In the engineering sector, one recent graduate has progressed to a mathematical modelling role at a leading transportation planning consultancy; another became a graduate trainee at a business segment of Schlumberger that provides reservoir imaging, monitoring, and development services.

In addition, a number of graduates have remained in education either progressing to a PhD or entering the teaching profession.

Employability

Our graduates have found employment in a wide variety of organisations such as Hillier-Parker, IBM, Swissbank, Commerzbank Global Equities, British Gas, Harrow Public School, Building Research Establishment and the European Centre for Medium-Range Weather-Forecasting.

Module Details

Compulsory modules

  •  Advanced Modelling Mathematical Techniques
  •  Nonlinear Systems
  •  Operational Research
  •  MSc Individual Research Project
  •  Computational and Simulation Methods
  •  Frontiers in Mathematical Modelling and its Applications

Optional modules

  •  Industrial and Geological Fluids
  • Geophysical Fluid Dynamics
  •  Biomathematics
  •  Mathematical Ecology
  •  Asymptotic Approximation Methods
  •  Cosmology
  •  Waves and Wave Scattering
  •  Evolutionary Games and Population Genetics
  •  Quantitative and Computational Finance
  •  Variational Methods for Partial Differential Equations
  •  Applied Stochastic Methods

Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability are subject to change.

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