MSc Computational Ecology and Evolution at Imperial College London

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

Faculty: Faculty of Natural Sciences  |  Department: Department of Life Sciences  |  Duration: 1 year  |  Study mode: full-time  |  Intake: October 2027  |  Location: London, England, United Kingdom

What you will study

Core modules include 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.

Career pathways

Graduates of our Department go on to succeed in a wide range of sectors. These include scientific research, biotechnology, healthcare, medical communications, consulting, finance, law, public relations, and environmental sectors. Typical roles include Research Scientist, Bioinformatician, Medical Writer, Ecological Consultant, Data Scientist, Geo-spatial Data Manager, Account Executive, Commercial Analyst.

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