Mathematical Modelling in Biology – MSc

Duration and mode of study

One year full-time or two year part-time.

Entry requirements

Normally a good second-class degree in Mathematics, Engineering, Computer Science, Physics or its equivalents.

Fees

2013/2014 - Home/EU: £8,160 International: £15,305
2014/2015 - Home/EU: £8,525 International: £15,995

Course aims

This program aims to provide a comprehensive perspective of existing modelling approaches and contemporary methods of data analysis used in biology and ecology.

The focus will be on design, analysis and implementation of mathematical models for problems arising in life sciences, with special emphasis on ecological applications.

By the end of the course, students should be able to formulate problems in mathematical terms, build relevant mathematical models of biological phenomena, apply an array of analytical tools and/or select and develop an appropriate numerical method, write a computer program for numerical simulations, and present and interpret the results for a potential client from agriculture and nature conservation sector.

Course modules

Sample modules offered:

  • Scientific Computing
  • Data Mining and Neural Networks
  • Topics in Mathematical Biology
  • Computational Methods for Partial Differential Equations
  • Patterns and Processes in Ecosystems

At the end of the second semester students will be given a choice of research projects. A project is undertaken full-time, leading to an oral presentation and the submission of a dissertation by the middle of September. The projects are supervised by a member of the Department of Mathematics either alone or jointly with a member of the School of Bioscience or from a relevant industrial partner.

Teaching and assessments methods

The course will be taught by lectures, seminars, problem classes and workshops. Each module will be assessed by a mixture of continuous assessments and examinations.

Find out more about this course on the Department of Mathematics website.

Contact

T: 0116 252 3896
mathspg@mcs.le.ac.uk
www.le.ac.uk/maths

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