Computational Methods in Ecology and Evolution
The Master of Research in Computational Methods in Ecology and Evolution is a one-year, full-time program at Imperial College London focused on using computational methods to address questions in ecology and evolutionary biology. The program combines training in computer science, statistics, and ecology to allow students to apply computational techniques to understand ecological systems, evolutionary dynamics, and biodiversity patterns. Topics include species distribution modeling, evolutionary simulations, and the analysis of genomic data.
Graduates will be equipped to work in research institutions, conservation organizations, or biotechnology companies, where they can apply their computational skills to ecological and evolutionary questions. The program’s strong emphasis on research methodology and data analysis ensures that students are prepared to contribute to scientific studies that help mitigate biodiversity loss and understand the impact of environmental changes on ecosystems.
Key information
Key Facts
Program Title: Master of Research in Computational Methods in Ecology and Evolution
Degree Type: Master of Research (MRes)
Duration: 1 year
Mode of Study: Full-time, On Campus
Application Deadline: 30th June 2026
Location: Imperial College London, United Kingdom
Field of Study: Statistics
Language of Instruction: English
Program Structure
Semester 1 – Core Computational Ecology and Statistics
- Quantitative Methods in Ecology
- Statistical Modelling and Data Analysis
- Computational Techniques for Biological Research
- Research Methods in Ecology and Evolution
Semester 2 – Advanced Applications and Research Project
- Population and Community Modelling
- Spatial Ecology and Environmental Data Analysis
- Independent Research Project
- Elective Modules in Bioinformatics, Conservation Modelling, or Evolutionary Simulations
Career Opportunities
Graduates from this program are prepared for careers in ecological and evolutionary research, biodiversity assessment, and computational environmental science. They can work in research institutions, environmental NGOs, government agencies, and consultancy firms, applying computational and statistical methods to study ecological patterns, population dynamics, and conservation outcomes. The program equips students with research, analytical, and computational skills, enabling them to conduct independent projects, model complex biological systems, and contribute to evidence-based decision-making. Graduates can also pursue roles in ecological consultancy, biodiversity monitoring, academic research, and conservation policy, and they are well-prepared for doctoral studies in ecology, evolution, or computational biology.
Why Choose This Program
This program provides a one-year research-focused pathway combining advanced computational methods, statistical analysis, and ecological theory. It emphasizes practical research, data modelling, and independent study, allowing students to gain expertise in analysing ecological and evolutionary data and solving real-world environmental problems. The independent research project offers hands-on experience in experimental design, model development, and scientific communication, helping students build a strong professional portfolio. Graduates leave the program with the skills and knowledge to make an immediate impact in computational ecology, biodiversity research, and conservation science, or to pursue advanced doctoral studies in ecology, evolution, or related computational fields.
Contact Information
For further information, please contact the admissions office at:
Phone: +44 (0)20 7589 5111
Email: admissions@imperial.ac.uk
Address: Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
