MSc Ecology and Data Science

UCL (University College London)

Prepare to address critical global environmental challenges with a sought-after skill set spanning data science and ecology, on this one-year MSc, drawing on expertise from across UCL, the Institute of Zoology and the Natural History Museum. You’ll learn data science methods from the ground up, while gaining a broad understanding of ecological theory. Layer this with skills in sampling design and biodiversity monitoring methods, sensor design, statistical programming languages like R and Python, and the most up-to-date machine learning and AI tools, including deep learning and computer vision. Rooted in UCL’s Department of Genetics, Evolution and Environment and housed in the People and Nature Lab at UCL East, you’ll also learn from academics across Robotics, Connected Environments and Geography – with added input and project opportunities from the Zoological Society of London and the Natural History Museum, plus other industry partners. Apply your skills through field studies, in-depth problem-based group work and an extensive data-science dissertation project – so you’re prepared to lead the next generation of AI-equipped environmental scientists working to solve the critical ecological and environmental global challenges of our time. This interdisciplinary master’s is for ecologists who want to learn technological and computational skills, and for data scientists who want to develop their skills and apply them to critical environmental issues. It’s relevant to conservation-focused or data science careers across government, Non-Governmental Organisations (NGOs), charities, the private sector and academia.