• Postgraduate taught
  • MSc

Computational Ecology and Evolution

Bring cutting-edge quantitative methods and biological concepts together to solve research problems.

Course key facts

Minimum entry standard

  • 2:1 in a Life Sciences, Mathematics, Physical Sciences, or Engineering subject.

View full entry requirements

Course overview

Train in cutting-edge quantative techniques in Ecology and Evolution in this practical, solutions-focused MSc.

You will leave with skills in data science, computing, mathematical modelling, statistics and state-of-the-art machine learning/AI. These will give you a major edge when competing for NGO jobs and PhDs.

Suitable for students with any background in science and engineering disciplines who wish to expand their quantative skills while solving real-world problems in ecosystems and the environment.

As well as coursework on advanced topics in quantitative ecology and evolution, you will carry out an extended research project over five months, applying your growing skillset and advancing your project management skills. Your research project may be carried out with our own researchers or with external collaborators including Zoological Society of London (ZSL). 

Computational tools are biology's next microscope, only better – learn to use them now!

Living Planet courses at Silwood Park

This course is part of the "Living Planet" family of courses based at Silwood Park.

We can discuss which course is the best fit to you at the interview stage of your application. It is normally possible to transfer to a different living planet course at that stage if you wish. 

Structure

This page is updated regularly to reflect the latest version of the curriculum. However, this information is subject to change.

Find out more about potential course changes.

Please note: it may not always be possible to take specific combinations of modules due to timetabling conflicts. For confirmation, please check with the relevant department.

You'll complete the following core modules:

  • Biological Computing Bootcamp
  • Statistics in R
  • Ecological and Evolutionary Data Science
  • Scientific Computing and Simulation for Ecology and Evolution
  • Data-driven Mathematical Modelling in Ecology and Evolution

A five-month project will provide you with an opportunity to carry out an extended piece of independent research.

This will enable you to take the lead in developing a research question and driving the work forward, and may incorporate an external placement.

Your work will be assessed by a thesis and a research presentation.

Teaching and assessment

Balance of teaching and learning

This is a general guide to how teaching and learning are usually balanced across this course. The methods used may change based on the modules you take.

Key

  • Lectures and practicals
  • Independent study
  • Individual research project

  • 20% Title 1 goes here
  • 30% Title 2 goes here
  • 50% Title 3 goes here

Teaching and learning methods

  • Person at lectern giving speech
    Lectures
  • Primer document with introductory information
    Primers
  • Seminars
  • Workshops
  • Computer-based work
  • Blackboard virtual learning environment
    Virtual learning environment
  • Recorded lectures available online
    Lecture recordings
  • Individual research project and dissertation
  • A person studying independently
    Independent study
  • Work placement opportunity

Balance of assessment

This is an example of how assessments are usually divided, based on a typical pathway through the course. The actual breakdown may be different depending on the modules you choose.

Key

  • Coursework
  • Research project

  • 50% Title 1 goes here
  • 50% Title 2 goes here

Assessment methods

  • Person completing coursework
    Coursework
  • Research project

Entry requirements

We consider all applicants on an individual basis, welcoming students from all over the world.

How to apply

Applications open on Wednesday 30 September 2026

Fees and funding

Home fee - MSc Living Planet (except Nature)

2027 entry

Not set
As a guide, the fee for 2026-27 was £16,600.

Overseas fee - MSc Living Planet (except Nature)

2027 entry

Not set
As a guide, the fee for 2026-27 was £36,000.

How will studying at Imperial help my career?

Gain transferrable skills necessary for a competitive edge when applying for PhDs and jobs.

Taking part in research projects will enable you to make an informed decision about your PhD research.

The training provided will leave you well placed to pursue a career in academic, government or non-governmental organisations engaged in research into biodiversity.

Terms and conditions

There are some important pieces of information you should be aware of when applying to Imperial. These include key information about your tuition fees, funding, visas, accommodation and more.

Read our terms and conditions

You can find further information about your course, including degree classifications, regulations, progression and awards in the programme specification for your course.

Programme specifications