| Start Date | Duration | Location | Get in touch |
| September entry | 1 year Full Time 2 years Part Time | UCL East | biosciences-admissions@ucl.ac.uk |
About the course
Biodiversity and ecosystems underpin all human wellbeing and endeavours – from health and happiness to prosperity and security. Yet biodiversity is declining rapidly, with global and local extinctions, and widespread population declines. Meanwhile, land is increasingly under pressure to meet multiple requirements, including the production of sustainable energy, clean water, and healthy, sustainable food. The combined impacts of a growing human population, increasing production and consumption, and global climate change, present an enormous challenge for the management of natural resources and ecosystems.
Facing the twin global challenges of climate change and biodiversity loss, we urgently need to harness cutting-edge technology to better understand and manage our natural world. This programme uniquely combines ecological science with data science, equipping you with in-demand skills in statistics, computation, and AI. Alongside this, you will gain hands-on experience deploying advanced environmental sensing technologies in the field, including camera traps, bioacoustic recorders, remote sensing, environmental DNA (eDNA), and wildlife telemetry. By integrating real-world data collection with powerful analytical tools, you will develop the expertise to generate actionable insights for conservation and sustainable ecosystem management.
Learn from experts across UCL, the Zoological Society of London, the Natural History Museum and industry, build your network and prepare to join the next generation of data-savvy biologists addressing time-critical challenges across the natural world.
Study this MSc
Find out about Ecology and Data Science MSc modules, career prospects, entry requirements, fees, how to apply, and more.
View the prospectusMeet the programme lead
Dr Dan Maynard
Dr Maynard is an Associate Professor at the UCL Genetics, Evolution and Environnement department. His research focuses on three broad themes, each of which explores how emergent patterns relate to underlying ecological processes: the development of pattern-based models to predict how communities will respond to environmental changes; disentangling how biotic and abiotic processes structure broad-scale biodiversity patterns; and the maintenance of biodiversity through the lens of functional ecology.
Learn more about Dr Dan Maynard.
