The course

Delivery
Full-time, Part-time, Per course
Course type
Taught
Location
Edinburgh
Entry date
September

Contact

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.

Watch a video

Visit our YouTube channel to see videos from our Staff, students and recent graduates

Course content

   Detailed course guide

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: Mitigation and Adaptation Measures.

Typical project subjects:

  • Population Cycles of Forest Insects;
  • Modelling Invasive Tumour Growth;
  • The replacement of Red Squirrels by Grey Squirrels in the UK;
  • Wiring of Nervous System;
  • Vegetation Patterning in Semi-arid Environments;
  • Daisyworld: A Simple Land Surface Climate Model.

Detailed course descriptions are available on our student pages.