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The MSc in Mathematical Modelling course began in October 2005 with 14 students making up the first year’s intake, in October 2006 the intake was 17 students, and in October 2007 the intake was at a similar level. This one-year course aims to teach students the basic concepts that arise in a broad range of technical and scientific problems and illustrates how these may also be applied in a research context to provide powerful solutions. This said, the emphasis is placed on generic skills which are transferable across disciplines so that the course is a suitable foundation for anyone hoping to advance their scientific modelling skills.

The Mathematics Department at UCL is at the forefront of research and this course allows students to experience the excitement of obtaining solutions to complex physical and other problems. Students initially consolidate their mathematical knowledge and formulate basic concepts of modelling before moving on to case studies in which models have been developed for specific issues motivated by e.g. industrial, biological or environmental considerations.

The high-standard course provides a unique blend of analytical and computational methods with applications at the frontiers of research. Successful students are well placed to satisfy the growing demand for mathematical modelling in commerce and industry. The course alternatively forms a strong foundation for any student who wishes to pursue further research.

Course Aims

The Masters level course in Mathematical Modelling has three main aims:-

• To provide an understanding of the processes undertaken to arrive at a suitable mathematical model

• To teach the fundamental analytical techniques and computational methods used to develop
insight into system behaviour

• To introduce a range of problems (e.g. industrial, biological and environmental),
associated conceptual models and their solutions.

Contacts for further information

For further information and an application pack, please contact any of the four MSc leaders:-

Dr Stephen Baigent
Prof Frank Smith
Prof Steve Bishop
Prof Robb McDonald

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