Data Science and Environmental Intelligence

Entry requirements

An honours degree (a second class or better) in a relevant discipline (e.g., BSc Geography, Environmental Science, Geological Sciences, Earth Science, Marine Science, Ocean Science, Data Science, Mathematics, Computing, Chemistry) OR overseas equivalent. If you apply with a degree in a none-related subject this will also be considered. If you apply without recent formal qualifications, but with relevant industry experience you will also be considered.

Months of entry

September

Course content

This programme combines data science with cutting-edge skills in environmental and marine technology to provide an innovative curriculum and an outstanding foundation for your future career in the digitally-enabled environmental and marine sectors.

Key features:

• Hands-on, experiential learning.
• Industry-focused content that prepares students for working with emerging cutting edge technologies.
• Teaching led by academics actively driving change.
• A sustainability-based education that empowers students to make a difference.
• A specific focus on environmental intelligence – sensing, monitoring and management through the use of automation, AI and big data.
• By combining core skills in computing and data analysis with knowledge of a range of innovative environmental sensors and the ability to analyse big data you will develop the interdisciplinary skills and knowledge to take a leading role in environmental analytics and in providing practical solutions to 21st century global challenges.
• After completing the taught programme and dissertation, you will have the opportunity to consolidate your learning by undertaking an optional 6–12-month industry placement in the terrestrial or marine environmental sectors.
• A diverse and respectful place in which to work and study is fundamental to everything we do. Find out more about equality, diversity and inclusion in the School of Geography, Earth and Environmental Science.

Information for international students

English language requirements.