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This course will equip you with the knowledge and skills to address environmental challenges through the development and application of new technologies, processes, and solutions derived from biological systems and the use...
In the current climate emergency, the need for innovative, data-driven solutions has never been greater. Our Environmental Sustainability and Data Science MSc is a multidisciplinary, forward-thinking course that prepares you to tackle global issues by combining the power of technology and data science with the principles of environmental sustainability. <br/><br/>This course will equip you with the knowledge and skills to address environmental challenges through the development and application of new technologies, processes, and solutions derived from biological systems and the use of data-driven decision-making tools. You’ll develop expertise in data science techniques, including programming in R and Python, machine learning and big data analysis, to interpret and manage complex environmental datasets and develop sustainable solutions.<br/><br/>You’ll gain a deep understanding of sustainability frameworks, circular economy principles, policy and research skills and learn from real-world case studies. Fieldwork and lab sessions will equip you with hands-on experience of monitoring and interpreting environmental data, allowing you to assess the impact of human activities on ecosystems and make informed, sustainable decisions. You’ll apply your knowledge practically through collaborative projects, engaging with local communities and industry experts to co-create solutions and make a positive impact whilst gaining valuable work experience. <br/><br/>This MSc offers a unique opportunity to bridge the gap between data science and environmental sustainability, empowering you to become a leader in the development of solutions that will shape the future of our planet.
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Course Details
Information
Study Mode
Full-time
Duration
1 Years
Start Date
09/2025
Campus
115 New Cavendish Street
Provider Details
Codes/info
Course Code
Unknown
Institution Code
W50
Points of Entry
Unknown
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