Postgraduate

Computational Ecology MSc

Computational Ecology MSc

Full time: 12 months

Profile

Our Computational Ecology MSc gives you knowledge and skills to work with ecological ‘big data’. It focuses on mathematical and statistical theory necessary for data interpretation and analysis.

This course is subject to full University approval.

This means that you can't apply for this course just yet.

About this course

You will be suitable for the course if you are:

  • an ecologist involved in scientific research
  • a graduate in mathematics or computing

Course Downloads

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Careers

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Graduate destinations

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Work experience

Work experience placements are a great way to develop relevant skills to excel in your chosen career.

Find out about paid and unpaid work experience options and other ways you can add to your degree.

Entry Requirements

A 2:2 BSc or BEng honours degree, or international equivalent, in a relevant subject such as:

  • microbiology
  • agriculture
  • environmental engineering
  • biology
  • biological sciences
  • ecology
  • environmental science
  • zoology
  • marine biology
  • oceanography
  • geography

We will also consider applicants with non-standard qualifications and relevant experience.

English Language requirements

To study this course you need to meet our Band 2 English Language requirements.

Direct Entry : IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills)

Our typical English Language requirements are listed as IELTS scores but we also accept a wide range of English Language tests.

The equivalent academic qualifications that we accept are listed on our country pages.

If you have lower English Language scores, you may be accepted onto a pre-sessional English course. 

How to Apply

This course is subject to full University approval.

This means that you can't apply for this course just yet.