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The Centre for Environmental Mathematics leads four MSc programmes on Applied Data Science for addressing Grand Challenges. These programmes are aimed at those looking to develop and apply modern techniques from data science and artificial intelligence in an interdisciplinary context, with a focus on energy, health, environment and conservation. Applicants are encouraged equally from the life, social and environmental sciences (including those who may not have much experience in scientific computing and mathematical modelling) and the engineering, maths and physical sciences. This diverse cohort of students helps foster the important interdisciplinarity.

The programmes employ research-informed, challenge-led and solution-focussed learning in collaboration with internationally renowned researchers at the Environment and Sustainability Institute, Renewable Energy Group, and Centre for Ecology and Conservation at the University’s Penryn Campus. There are four themes, described in more detail below: Environment and Sustainability, Modelling, Renewable Energy and Ecology and Evolution.

MSc Applied Data Science and Modelling

This programme provides students with an understanding of and confidence in using real-world data and mathematical models to address the big societal issues of the 21st Century. This is an interdisciplinary and outward facing programme run by the department of Mathematics in collaboration with science and engineering, which will encourage and support students to collaborate with industry, charities or public sector organisations. Through hands-on solution-focussed learning, in collaboration with internationally renowned investigators at the university's Environment and Sustainability Institute, European Centre for Environment and Human Health, and Centre for Ecology and Conservation, students will gain skills and experience and so be able to succeed in the fast growing data analytics sectors, particularly in relation to health, energy and environment challenges.

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MSc Applied Data Science (Environment and Sustainability)

This programme equips students with an understanding of state-of-the-art modelling and emergent data science techniques, and how to apply these to challenge-led problems focussed on economic, environmental, and societal issues surrounding sustainability practices and policies. The programme is hosted by the Environment and Sustainability Institute, where students are immersed in the institute's cutting-edge research on problems of environmental change, with opportunities to work with industry, charities and the public sector. With key data analytic skills and an understanding of sustainable development principles, two top priorities for many industries and many public and non-governmental organisations, the national and international demand for graduates of this programme will continue to grow.

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MSc Applied Data Science (Renewable Energy)

Become immersed in the 'Big Data revolution' and develop state-of-the-art data science and artificial intelligence skills alongside expertise in emerging renewable technologies. This interdisciplinary programme is run jointly by the departments of Mathematics and Renewable Energy. Designed in collaboration with internationally renowned researchers and industrial partners, students will benefit from research-led teaching, practical examples and hands-on activities using modern scientific computing software, the hub for data-intensive science and artificial intelligence provided by the Institute of Data Science and Artificial Intelligence, a new state-of-the-art Renewable Energy Engineering Facility, and the interdisciplinary climate of the University's Environment and Sustainability Institute. Graduates will develop sought-after, discipline-transcending skills needed to succeed in the fast growing data analytics sectors, alongside specialist knowledge of value to the growing renewable energy sector.

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MSc Applied Data Science (Ecology and Evolution)

Students of this programme develop an expertise of data scientific methods in ecology, evolution, conservation, biodiversity, and epidemiology. This interdisciplinary programme is run jointly by the mathematicians and life scientists from the university's Environment and Sustainability Institute, the Institute of Data Science and Artificial Intelligence, and the Centre for Ecology and Conservation. Students are exposed to a wide variety of data and data analytics approaches, drawing on cutting-edge and internationally renowned research, and will be supported and encouraged to collaborate with industry, charities, and the public sector. Through hands-on solution-focussed learning, students will gain the skills and experience needed to succeed in the fast growing expansion of data analytics in ecology and evolution.

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