University withheld until you unlockunlock below to reveal · Full-time
Data Science (Earth and Environmental Analytics)
The inexorable rise of the digital world, driven by rapid AI development, has made data scientists more in demand right now than ever before. The advances of analysing big data span beyond the digital and technology industry and are increasingly recognised in…
MSc1 yearFull-time
Browse computer science courses in UK
School of Social Sciences · Computing
The inexorable rise of the digital world, driven by rapid AI development, has made data scientists more in demand right now than ever before. The advances of analysing big data span beyond the digital and technology industry and are increasingly recognised in the worlds of sport, medicine, space exploration and more. Our MSc Data Science (Earth and Environmental Analytics) course prepares you for a career in this high-demand field. You’ll develop invaluable abilities in key area’s such as: - data analysis; - project design; - computational methods; - data stewardship. See a full list of mandatory and optional course units below. This course focuses on the data techniques and uses that are most relevant to environmental management, with optional course units exploring themes such as pollution control and subsurface geoscience. We welcome applicants from a range of STEM, business and humanities backgrounds, allowing us to create a diverse cohort and enrich discussions around the uses and potential of data. By the end of your studies, you will have developed a highly valued skillset, enhancing your employability across countless sectors such as policy, business, research and more. Previous students have gone on to roles such as data scientists, civil servants, consultants, researchers, entrepreneurs, and in AI.
Getting in
As the university states it
High 2:1 honours degree (or overseas equivalent) See application and selection tab. In your application, you should demonstrate aptitude, knowledge and/or interest in three areas: data analytics and/or statistics; computational subjects; and pathway specific requirements. These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience. For this Pathway we would expect applicants to evidence an interest and/or experience in topics related to environmental analysis. Examples are: Working experience in environment-themed topics (e.g. environment, climate, natural ecosystems, human social and economic systems, and health) Experience in working in data science, GIS or environmental based data analysis Evidence of training in environment-themed methods or topics
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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.