Applied Mathematical Sciences with Biological and Ecological Modelling MSc/Diploma

Postgraduate

In Currie

Price on request

Description

  • Type

    Postgraduate

  • Location

    Currie (Scotland)

  • Start date

    Different dates available

Home Postgraduate study Mathematics Applied Mathematical Sciences with Biological and Ecological ModellingApplied Mathematical Sciences with Biological and Ecological Modelling MSc/DiplomaHow to apply »DeliveryFull-time, Part-time, Per courseProgramme typeTaughtStudy locationEdinburghEntry dateSeptemberOverviewProgramme contentEntry requirementsFees & scholarshipsOverviewThe contribution of mathematical and computational modelling to the understanding of biological systems has rapidly grown in recent years. This discipline encompasses a wide range of life science areas, including ecology (e.g. population dynamics), epidemiology (e.g. spread of diseases), medicine (e.g. modelling cancer growth and treatment) and developmental biology. This programme aims to equip students with the necessary technical skills to develop, analyse and interpret models applied to biological systems. The coursework is supported by an extended and supervised project in life science modelling and we offer an exciting range of projects in subjects such as Population Cycles of Forest Insects, Modelling Invasive Tumour Growth, Wiring of Nervous Systems, Vegetation Patterns in Semi-Arid Environments and other cutting-edge topics. Learn more about the MSc Applied Mathematical Sciences with Biological and Ecological Modelling directly from Professor Jonathan Sherratt in this video Programme duration MSc One year Award Duration Diploma 9 months Also available part-time over 2 to 3 years Student profile Watch the video profile of Hannah Jones who is currently studying Applied Mathematical Sciences with Biological and Ecological Modelling.Programme content Students will take a total of 8 courses, 4 in each of the 1st and 2nd Semesters followed by a 3-month Project in the summer. A typical distribution for this programme is as follows: Core courses:Modelling...

Facilities

Location

Start date

Currie (Midlothian/Edinburghshire)
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Edinburgh Campus, Riccarton, EH14 4AS

Start date

Different dates availableEnrolment now open

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Subjects

  • IT
  • Applied Mathematical
  • Systems
  • Life Science
  • Part Time
  • Project
  • Biology
  • Skills and Training
  • Computational
  • Ecology
  • Developmental Biology
  • Professor Training

Course programme

Overview

The contribution of mathematical and computational modelling to the understanding of biological systems has rapidly grown in recent years. This discipline encompasses a wide range of life science areas, including ecology (e.g. population dynamics), epidemiology (e.g. spread of diseases), medicine (e.g. modelling cancer growth and treatment) and developmental biology.

This programme aims to equip students with the necessary technical skills to develop, analyse and interpret models applied to biological systems. The coursework is supported by an extended and supervised project in life science modelling and we offer an exciting range of projects in subjects such as Population Cycles of Forest Insects, Modelling Invasive Tumour Growth, Wiring of Nervous Systems, Vegetation Patterns in Semi-Arid Environments and other cutting-edge topics.

Learn more about the MSc Applied Mathematical Sciences with Biological and Ecological Modelling directly from Professor Jonathan Sherratt in this video

Programme duration MSc One year Award Duration Diploma 9 months

Also available part-time over 2 to 3 years

Student profile

Watch the video profile of Hannah Jones who is currently studying Applied Mathematical Sciences with Biological and Ecological Modelling.

Additional information

Programme content Students will take a total of 8 courses, 4 in each of the 1st and 2nd Semesters followed by a 3-month Project in the summer. A typical distribution for this programme is as follows: Core courses:Modelling and Tools;Mathematical Ecology;Dynamical Systems;Mathematical Biology and Medicine. Optional Courses: Optimization;Numerical Analysis of ODEs;Applied Mathematics;Statistical Methods;Stochastic Simulation;Partial Differential Equations;Numerical Analysis;Geometry;Climate Change: Causes and Impacts;Biologically Inspired Computation;Climate Change:...

Applied Mathematical Sciences with Biological and Ecological Modelling MSc/Diploma

Price on request