Environmental Data Analytics MSc

Coventry University

If you are interested in using data to make a difference and to understand and respond to environmental challenges, this course could be for you. It is designed to help you apply digital and analytical tools to tackle sustainability and environmental challenges. Explore machine learning and AI: build systems that learn patterns from data and create systems that perform tasks typically requiring human intelligence.Tackle data challenges: use AI, machine learning, GIS and remote sensing to manage the variety and veracity of environmental data while solving real-world problems.Gain hands-on experience: analyse authentic environmental data to investigate and address global issues.Boost your career: develop the expertise needed for roles in consultancy, government, NGOs or research across sustainability, biodiversity and climate science. This course will be assessed using a variety of methods which will vary depending upon the module. Assessment methods may include: online testsessays and critical reviews of scientific topicscase studiesgroup work for presentations, lab projects and reportsindividual presentationslaboratory reportslab skill competencyposters and other information resources (e.g. videos, websites, briefing papers). The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes.

School of Computing, Mathematics and Data Science