Environmental Data Analytics Coventry University

Overview

If you are interested in using data to make a difference and to understand and respond to environmental challenges, this Environmental Data Analytics course from Coventry University 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.

• Specialist environmental focus: unlike generalist data science courses, this course integrates core environmental knowledge (such as water, soil, air and biodiversity) with data science. It is designed to prepare you for niche roles in climate, pollution science, natural resource management, sustainability and environmental problem-solving.

• Practical, applied learning: gain hands-on experience with real-world datasets, GIS, remote sensing, programming and machine learning to develop relevant skills across industry and research settings.

• Global and inclusive learning environment: embedded throughout the course are case studies and collaborative projects reflecting international contexts, helping you develop skills relevant across diverse cultural, social and environmental settings.
• Optional professional placement: gain practical experience and boost your CV with an additional professional placement. See the Modules section for more details