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Full time
1 year
SEP-25
MSc - Master of Science
Climatology Global Warming Environmental Policy
Taught
Overview
The importance of addressing the climate emergency has never been clearer. Climate change experts are needed in government, business, research, and non-governmental organisations, to help drive sustainable transformation in changing environments. Our MSc in Climate Change Science and Policy trains highly skilled graduates with a solid grounding in climate change science, alongside a critical understanding of the context for action on climate change. The programme is designed for students with a background in science (through their undergraduate or work experience) and includes hands-on quantitative training with climate models and climate data. Graduates of the programme have experience in the tools and methods of climate science, and an understanding of the role of scientific evidence in policy, as well as the strengths and weaknesses of different approaches to governing the environment. The programme is provided by the School of Geographical Sciences, ranked first in the UK for 'Geography and environmental studies' research (THE analysis of REF 2021). You will join our research groups in analysing key areas of climate change science and environmental policy. This innovative programme also allows you to develop a range of professional skills, including presentation, project work, teamwork and communication. There is a strong emphasis on carrying out your own research project. The programme is closely linked to the renowned Cabot Institute, which brings together the University's research into the changing global environment, and benefits from our location in the city of Bristol, a vibrant hub of environmental action.
For this course (per year)
£14,400
For this course (per year)
£31,700
An upper second-class honours degree or international equivalent in a scientific discipline, such as Chemistry, Physics, Engineering, Mathematics, Biology, Earth Sciences, Geography or Environmental Sciences. Applicants must be able to demonstrate academic experience in Programming, Modelling or Applied Data Analysis, evidenced in their transcript. A strong numerical background is required.