The MRes Living Planet with Computational Methods in Ecology and Evolution at Imperial College London trains you in quantitative approaches for studying ecological and evolutionary processes. You’ll apply data science and computational methods to real-world challenges such as biodiversity conservation, agroecosystems, and nature-based climate solutions.
The MRes Living Planet with Computational Methods in Ecology and Evolution at Imperial College London is designed to equip students with the quantitative skills necessary for analyzing ecological and evolutionary processes. This program emphasizes the application of data science and computational techniques to address pressing real-world issues, including biodiversity conservation, agroecosystems, and nature-based solutions for climate challenges.
This full-time, one-year program comprises a blend of core quantitative training and research-focused modules. You will engage in a research-oriented learning pathway that encourages independent project planning and the application of computational methods to ecological and evolutionary questions.
Core modules typically include:
For the latest module offerings and optional components, please refer to the program website.
To be eligible for this program, applicants typically must meet the following academic requirements:
English language proficiency is also required, with minimum scores typically including:
Required documents generally include:
Graduates of the MRes Living Planet with Computational Methods in Ecology and Evolution will be well-prepared for a variety of career paths in research, conservation, and environmental management. The skills acquired during the program will enable you to tackle complex ecological and evolutionary problems, making you a valuable asset to organizations focused on sustainability and biodiversity.
Additionally, upon completion of your degree, you may be eligible to apply for a post-study work route, allowing you to gain practical experience in your field of study.
Shortlist scholarships and plan your application — free guidance from our advisors.