Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 year - 2 years
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.
Normally, an upper second-class (2:1) UK Bachelor's degree in life sciences, environmental sciences or related subject area, or an overseas qualification of an equivalent standard. Applicants with an appropriate professional qualification and relevant work experience may also apply.
For fees and funding options, please visit website to find out more
There is a rapidly growing demand for scientists with expertise in cutting-edge technological, statistical and computational tools to solve the ecological challenges of today.
With a multidisciplinary skill set, project management skills, in-depth knowledge and practical experience of fieldwork and independent research, you'll be ready to join the next generation of data-savvy biologists driving progress in this time-critical field.
Compulsory modules
Optional modules
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Tue 28 Apr 2026