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  Computational Methods in Ecology and Evolution - MSc


Imperial College London    Life Sciences

Full time October MSc 1 year full-time
Biological Sciences (4) Environmental Sciences (13)

FindAMasters summary

Are you passionate about both biology and mathematics? Our MSc programme in Computational Methods in Ecology and Evolution is the perfect blend of these two disciplines. Through cutting-edge research, we explore the fascinating connections between ecological and evolutionary dynamics, as well as the impact of climate change on ecological communities. With a focus on quantitative biology, you'll develop your skills in mathematical, statistical, and computing tools. Our programme is open to life scientists and physical scientists with a strong interest in biology. A 2.1 degree in life sciences or physical sciences, along with a solid foundation in mathematics, is required. Prepare for exciting career opportunities in applied quantitative biology or further studies.

About the course

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

The focus is on current topics in modern quantitative biology, such as interactions between ecological and evolutionary dynamics, and the effects of climate change on ecological communities.

You will also have the chance to develop your knowledge in mathematical, statistical, and computing tools through their application to important research problems.

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

Read more about this course

Entry Requirements

Our minimum requirement is a 2.1 degree in life sciences or physical sciences.

A suitable grounding in mathematics is required, for example: A-level Mathematics grade A or B.




 Course Content

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