Advert
Advert

MSc Environmental Data Science and Analytics

  • DeadlineStudy Details:

    12 months full time

Course Description

As global discussions are increasingly focused on the environment and sustainability, the need to understand and interpret both built and natural environmental data is more crucial than ever. Governments, organisations, and industries across the world are seeking individuals who can leverage data to make informed, sustainable decisions.

Our Environmental Data Science and Analytics MSc is designed to give you a fuller understanding of data and what appropriate interpretation and insight generation means in various environmental contexts. Throughout, you’ll develop a broad understanding of environmental issues and how data driven analysis can help address these.

You’ll build the skills needed to analyse, understand, interpret and visualise complex environmental data; generating insights that address real-world environmental challenges. You’ll apply techniques from data science including environmental modelling, machine learning, visualisation and data curation to environmental data, with a focus on analysis through programming.

Here at Leeds, you’ll have the opportunity to learn from leading researchers in the field, with input from the School of Geography, the School of Earth and Environment, and the School of Computing.

By the end of the course, you’ll be equipped with the specialist knowledge and skills that are sought after across multiple industries, especially those dealing with large scale environmental data to address the needs of society.

Entry Requirements

A bachelor degree with a 2:1 (hons) in a relevant subject. Those with a background in geography, environmental science, natural sciences, engineering, or computer science, or who can demonstrate good quantitative and/or computing skills, are particularly encouraged to apply.

Applicants who do not meet the above requirement but can demonstrate several years of professional experience in a relevant field will also be considered. In this case, please contact the Admissions Team to discuss your suitability for the programme.

Applicants should possess a keen interest in harnessing data science to understand the natural environment and address environmental issues.

We accept a range of international equivalent qualifications. See our website for details.

Fees

Fees are listed on our website

Student Destinations

The specific environmental context of the course allows you to enter specialised careers that require a contextual understanding of data and context from the environmental domain, including environmental consultancies, transport, engineering, utilities (e.g. water, energy, renewables) and government agencies.

More widely, the course will equip you with data science and analytical skills that are vital to many industries across the globe. Growth in the data science field is only increasing, with the number of opportunities growing year on year, from positions in local authorities and governments, industry (e.g. finance, telecoms), NGOs; wherever there is a need for data scientist or data analyst.

Plus, University of Leeds students are among the top 10 most targeted by top employers according to The Graduate Market 2023, High Fliers Research, meaning our graduates are highly sought after by some of the most reputable companies in the field.

Module Details

The list shown below represents typical modules/components studied and may change from time to time.

Compulsory modules

Programming for Data Science – 15 credits

Data Science for Practical Applications – 15 credits

Creative Coding for Real World Problems – 15 credits

Data to Insights in Multiple Environments – 30 credits

Machine Learning for Environmental Data – 15 credits

Environmental Data Science Project – 60 credits

Optional modules

Environmental Assessment – 15 credits

GIS and Environment – 15 credits

Environmental Data Visualisation and Analysis – 15 credits

Digital Image Processing for Environmental Remote Sensing – 15 credits

Web-based GIS – 15 credits

Find out more and apply

Add to comparison

Learn more about University of Leeds

Where is University of Leeds?