Taught course

Computational Methods in Ecology and Evolution

Imperial College London · Ecology and Evolution

Entry requirements

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

Months of entry


Course content

This MRes is designed for students with a passion for the diversity of 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 will be followed by a single nine-month research project. Project opportunities include genetics, conservation, tropical and environmental biology; they will 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 transferrable 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.

Information for international students

For up to date information please visit http://www.imperial.ac.uk/visit/campuses/silwood-park/prospective-students/international-students/

Fees and funding

For up to date information please visit our Fees and Funding page at http://www.imperial.ac.uk/study/pg/fees-and-funding/

Qualification and course duration


full time
12 months


AssessmentWhat kind of work will I be doing? (proportionally)

Course contact details

Amanda Ellis