MSc Data Science (Earth and Environmental Analytics) / Course details

Whether you’re trying to make sense of a football match, a general election or a business’ financial performance, data is vital. Our Data Science – Earth and Environment Analysis master’s will teach you invaluable skills for today’s economy such as:

• data analysis
• project design
• computational methods
• data stewardship.

This pathway focusses particularly 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.

The course welcomes applicants from a range of STEM, business and humanities backgrounds. Working with the rest of your student cohort will enrich your understanding of the uses and potential of data.

Upon course completion, you’ll have developed a highly valued skillset, enhancing your employability across countless sectors.

This innovative MSc in Data Science course is an opportunity for graduates from a broad range of disciplines to develop data science skills. Our goal is to help you develop into an agile, skilled data scientist, adept at working in a variety of settings and be able to meet the challenges and reap the rewards of interdisciplinary teamwork.  

There is growing evidence across academia, policy makers and industry that `Environmental Intelligence (EI)' is an emerging research area of strategic global importance. Its primary aim is to understand and respond to the complex interactions between the environment, climate, natural ecosystems, human social and economic systems, and health.    

Key areas of concern include:

• Climate Change (e.g., resilient cities, clean power, smart transport options, sustainable production).
• Biodiversity and Conservation (e.g., habitat protection and restoration, pollution control, realizing natural capital), Natural Hazards (e.g., predicting and forecasting, early warning systems, resilient infrastructure).
• Environment and Health (e.g., air quality, water and sanitisation, social and environmental inequalities).   

Mapped to The University of Manchester's research strengths, the aim of this pathway is to prepare you for new and exciting training across cutting edge data science and environmental science technologies to integrate multiple complex data sources and create tools that enable informed decision making for future environmental systems.