• Regent’s University London Featured Masters Courses
  • Leeds Beckett University Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • University of Derby Featured Masters Courses
  • Swansea University Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • Jacobs University Bremen gGmbH Featured Masters Courses
  • Imperial College London Featured Masters Courses
Goldsmiths, University of London Featured Masters Courses
University of Leeds Featured Masters Courses
University of Exeter Featured Masters Courses
University of Kent Featured Masters Courses
Cardiff University Featured Masters Courses

MSc Computational Methods in Ecology and Evolution

Course Description

Over the past 10–20 years, biology has become increasingly quantitative, and mathematical sciences have in turn been increasingly influenced by biology.

In this unique course we teach quantitative methods and biological concepts together, through application of the methods to cutting-edge biological research problems.

This course is suitable for:

Life scientists wishing to expand their quantitative skills in light of the increasingly quantitative nature of modern biology
Physical scientists (mathematicians, physicists, statisticians, computer scientists) with a strong interest in biology
The course serves as ideal preparation for either PhD studies or employment in fields of applied quantitative biology, such as resource management and conservation.

Visit the MSc Computational Methods in Ecology and Evolution page on the Imperial College London website for more details!

Entry Requirements

The expected requirement will be normally at least an Upper Second Class (2:1) Honours degree in a biological, ecological, or other life sciences-based subject, or in a physical-sciences subject, from a UK academic institution, or an equivalent overseas qualification, and an A level in mathematics or equivalent.

Course Fees

To find up-to-date information on our fees please visit our Student Finance page (View Website)

Email Enquiry

Recipient: Imperial College London

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully

Share this page:

Cookie Policy    X