MSc-Postgraduate Diploma in Mathematical Modelling in Biology

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Comments about MSc-Postgraduate Diploma in Mathematical Modelling in Biology - At the institution - Leicester - Leicestershire

  • Objectives
    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.
  • Entry requirements
    Entry requirements Normally a good second class degree in Mathematics, Engineering, Computer Science, Physics or its equivalents.
  • Academic title
    MSc/Postgraduate Diploma in Mathematical Modelling in Biology
  • Course description
    Course modules

    Autumn term:

    -Dynamical Modelling and Simulation
    -Wavelets and Signal Processing
    -Applied Dynamical Systems
    -Patterns and Processes in Ecosystems

    Spring term:

    -Topics in Mathematical Biology
    -Computational Methods for Partial Differential Equations
    -Data Mining and Neural Networks
    -Research Presentation
    -After the Easter, the 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

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