Overview

The MSc in Ecology and Data Science at UCL is an interdisciplinary programme that merges the fields of ecology and data science, preparing students to confront significant global environmental challenges. With a duration of one calendar year, this full-time course is structured to provide a comprehensive education that combines theoretical knowledge with practical applications. The curriculum is designed to develop a robust skill set that includes data science methodologies, ecological theories, and advanced analytical techniques. Students will learn to utilise statistical programming languages such as R and Python, as well as cutting-edge machine learning tools, to address ecological issues effectively.

Why Ecology and Data Science at UCL?

UCL is renowned for its academic excellence and innovative research, making it an ideal institution for pursuing a master's degree in this field. The programme benefits from partnerships with prestigious organisations such as the Institute of Zoology and the Natural History Museum, providing students with unique opportunities for collaboration and learning. UCL’s facilities, including the People and Nature Lab, are equipped with state-of-the-art technology that enhances the learning experience. The university's commitment to sustainability and environmental research further underlines its dedication to addressing ecological challenges.

Tuition Fee Breakdown

The tuition fees for the Ecology and Data Science MSc are structured as follows:

• International Students: £39,800 per year
• National Students: £24,100 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The programme comprises a variety of modules designed to provide both foundational knowledge and specialised skills:

• Ecology and Ecological Monitoring
• Technology for Nature
• AI for the Environment
• Nature-Smart Challenge: Data Science
• MSc Ecology and Data Science Research Project
• Optional modules such as Foundations of Citizen Science and Biodiversity Generation and Maintenance

Students will engage in hands-on fieldwork, particularly in the Queen Elizabeth Olympic Park, where they will apply their learning to real-world ecological problems.

Careers with Ecology and Data Science

Graduates of this programme are well-prepared for careers in various sectors, including government agencies, environmental NGOs, and the private sector. Alumni have found positions in organisations such as the Zoological Society of London, Google, and various environmental consultancies. The skills acquired during the course enable graduates to work as data scientists, conservationists, or pursue further academic research, including PhD opportunities in related fields.