Environmental Data Science and Analytics at University of Leeds - UCAS

University of Leeds

Degree level: Postgraduate

Environmental Data Science and Analytics (Taught)

Course options

Course summary

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. Why study at Leeds:

  • Our globally-renowned research from the School of Geography, School of Earth and Environment and the Leeds Institute for Data Analytics, the national institute for data science and artificial intelligence feeds into the course, shaping your learning with the latest thinking in environmental data science and analytics.
  • Advance your skills and knowledge in areas such as environmental policies, programming for data science, machine learning, AI, satellite/UAV technology and interpreting large hyperdimensional data.
  • Tailor the course to suit your career aspirations with a selection of optional modules in areas like web-based GIS, GIS and environment and digital image processing for environmental remote sensing.
  • Conduct your own project work which will enable you to develop transferable skills as a researcher, investigating a real-world issue that explores and develops your interests.
  • Access specialist facilities which will complement your learning including laboratories and an excellent GIS computer cluster with industry-standard software.
  • Experience expert theoretical and practical teaching delivered by a programme team of academics who are actively engaged in ground-breaking research in the School of Geography and the School of Earth and Environment.
  • Put theory into practice with exciting fieldwork opportunities, allowing you to develop the understanding and skills in data acquisition and deployment of sensors to collect environmental data.

Assessment method

The course is designed to assess you through the application of your data science skills within the context of environment problems; namely this is through the writing of code and analysis and interpretation of findings, with a focus on insight generation. To replicate the type of work graduates from this course are expected to encounter, assessments will be both individual and group based, with the interpretation taking forms such as briefing documents, panel presentations, and executive summaries. Assessments will capture your ability to conduct in-depth enquiries using data science, within the context of complex environment problems and challenges.

Entry requirements

2:1 honours degree (or overseas equivalent) in a relevant subject. Those with a background in geography, environmental science, natural sciences, 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.

English language requirements

TestGradeAdditional details
IELTS (Academic)6.5with no less than 6.0 in each component skill
TOEFL (iBT)88with no less than 19 in listening, 20 in reading, 22 in speaking and 21 in writing
PTE Academic64with no less than 60 in any component

Please click here for further details of our English requirements


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Fees are listed on our website: https://courses.leeds.ac.uk/
Environmental Data Science and Analytics at University of Leeds - UCAS