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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)


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Recipient: Imperial College London

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