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MRes Computational Methods in Ecology and Evolution


Course Description

This MRes is designed for students with a passion for the diversity of life on earth, and who wish to be trained in cutting-edge biological research.

New technologies such as next-generation DNA sequencing are revolutionising biology.

There are also huge amounts of biodiversity data to be collated and meta-analysed to respond to urgent research needs in a world of rapid global changes.

This course will offer an intensive one-year full-time programme designed to provide you with postgraduate-level training in research skills.

Uniquely, it will start with seven-week intensive training modules in the latest developments of informatics and genomics for whole-organism research.

This is followed by a single nine-month research project in the Division of Ecology and Evolution.

Project opportunities include genetics, conservation, tropical and environmental biology; they will either be purely analytical or have strong field and/or laboratory components.

It will also provide you with a solid grounding in a range of professional and transferable skills and the opportunity to make a more informed decision on the area of research and specific PhD project you wish to pursue in the future.

It will be ideal training for those who wish to pursue a career in academic, government or non-governmental organisations engaged in research into biodiversity.

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

Entry Requirements

Candidates will normally be expected to hold a good first degree in a science subject (at least an Upper Second Class Honours - 2:1 - degree) from a UK university or an equivalent overseas qualification.

Course Fees

For an up-to-date version of our fees please visit our Student Finance website (View Website)


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Recipient: Imperial College London

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