Applied Data Science (Ecology and Evolution) (Taught)

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Course summary

Develop expertise in data-driven perspectives on ecology, evolution, conservation, biodiversity, and epidemiology

Based at our stunning Penryn Campus in Cornwall and run jointly by the University’s Environment and Sustainability Institute and the Centre for Ecology and Conservation

Be exposed to a wide variety of data and data analytics approaches with opportunities to work with industry, charities, or the public sector

You’ll be immersed in the “Big Data revolution” and develop expertise in data-driven perspectives on ecology, evolution, conservation, biodiversity, and epidemiology

Gain the skills and experience you need to succeed in the demanding and fast growing data analytics sectors particularly in relation to ecology and evolution

To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.

Modules

For a full list of compulsory and optional modules please visit our course page.

Assessment method

Please visit our course page for current assessment methods.

How to apply

International applicants

Our International Student Support can help you with what you need to do before you arrive and when you get here as a new international student. They offer ongoing support throughout your studies whether that be setting up a bank account or arranging healthcare. Our Global Chums Buddy Scheme and our Intercultural Cafe provide opportunities to meet staff and connect with students. INTO University of Exeter provide pre-sessional English courses for international students as well as free insessional support. For more information about entry requirements, bursaries and scholarships and how to apply please visit our course page.

Entry requirements

A good degree (normally a 2:2). Successful applicants will usually have at least an A-level or equivalent in Mathematics and/or have received quantitative skills training as part of their undergraduate programme, or possess relevant professional experience. Prior experience of coding is not necessary on this course. For full details, including English language requirements and international equivalencies, please visit our course page.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

In addition to tuition fees and living costs, your programme of study may have other costs associated with it, such as laboratory equipment or field trips. For more information about fees and additional costs please visit our course page.

Sponsorship information

We invest heavily in scholarships for talented prospective Masters students. This is in addition to the UK Government’s Postgraduate Loan Scheme. For information on how you can fund your postgraduate degree at the University of Exeter, please visit our course page.