Living Planet with Computational Methods in Ecology and Evolution
The Master of Research in Living Planet with Computational Methods in Ecology and Evolution focuses on using computational techniques to understand ecological and evolutionary processes. This one-year, full-time program blends data science, mathematics, and biological research to analyze the impact of environmental change on biodiversity and ecosystems. Students will use computational models and simulations to study ecological patterns and evolutionary dynamics.
Graduates will be prepared for careers in environmental research, conservation, and policy-making, with the skills to apply computational methods to solve complex ecological and evolutionary problems. The program’s research-driven approach ensures that students can contribute to scientific advancements in the field of ecology and environmental science.
Key information
Key Facts
- Program Title: Master of Research in Living Planet with Computational Methods in Ecology and Evolution
- Degree Type: Master of Research
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: June 30, 2026
- Location: Imperial College London, United Kingdom
- Field of Study: Ecology
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Computational Ecology and Evolution
• Introduction to Ecology and Evolution
• Computational Methods in Biology
• Statistical Modelling for Ecological Data
• Programming for Ecological Applications
• Research Methods in Ecology
Semester 2 – Advanced Computational Applications & Research Project
• Simulation of Ecological Systems
• Population and Evolutionary Modelling
• Biodiversity Assessment and Conservation Tools
• Independent Research Project / Fieldwork
• Professional Skills Development and Presentation
Career Opportunities
Graduates of this program are prepared for careers in ecological research, biodiversity analysis, and computational modelling. They gain expertise in data analysis, simulation techniques, and evolutionary modelling, making them suitable for roles in research institutions, environmental consultancies, conservation organisations, and government agencies. The program also provides a foundation for PhD studies or specialist research positions, enabling graduates to contribute to understanding ecological patterns, predicting evolutionary trends, and supporting conservation efforts. Graduates leave with the ability to design computational models, analyse complex ecological data, and apply scientific methods to real-world problems.
Why Choose This Program
This program is ideal for students seeking a deep understanding of ecology and computational methods. It combines theoretical knowledge, hands-on computational projects, and research-led learning, allowing students to develop skills in data modelling, ecological analysis, and problem-solving. Students benefit from mentorship by leading ecologists, access to field and computational resources, and practical research experience, preparing them for careers in ecological research, conservation policy, computational biology, or further academic studies. Upon completion, graduates are equipped to apply computational techniques to ecological questions, support biodiversity conservation, and advance understanding of evolutionary processes.
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
