Environmental Data Science

Entry requirements

Students are required to have a second-class honours degree in any subject. Students with non-standaed qualifications are encouraged to apply. We also give due consideration to prior experience gained by mature students in relevant areas of work. In such cases, applicants would be expected to provide full details to enable its full evaluation by admissions staff.

Months of entry

September

Course content

Whether working in the earth sciences, ecology, hydrology, oceanography, meteorology, climate science or environmental chemistry, Environmental Scientists increasingly need strong data manipulation, analysis, modelling and visualisation skills.

The interdisciplinary MSc in Environmental Data Science equips students with these skills, which enable improved understanding of environmental processes and inform societal action and sustainable decision-making. The uptake, use, and commercialisation of environmental data has created a demand for expertise in Data Science and you will be trained in a broad range of fundamental data science techniques. These skills could lead to careers focus on applications of environmental data analyses as well as a wide range of other data science opportunities. They address the shortage of qualified data scientists in the UK and abroad and will place you in a strong position for a data science career.

Information for international students

English Language Requirements

IELTS 6.5 or equivalent. If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.