Overview
Students in Environmental Data Science and Analytics from University of Leeds 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 and the School of Earth and Environment.
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 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.
Programme Structure
Courses include:
- Programming for Spatial Data Science
- Skills for Environmental Data Scientists
- Data to Insights in Multiple Environments
- Data Science for Practical Applications
- Creative Coding for Real World Problems
- Machine Learning for Environmental Data
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , National
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- Starting
- Apply before , International
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Language
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Credits
Delivered
Campus Location
- Leeds, United Kingdom
Disciplines
Environmental Sciences Data Analytics View 169 other Masters in Environmental Sciences in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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Other requirements
General requirements
- A bachelor degree with a 2:1 (hons) in a subject including, but not limited to, physical geography, environmental science, natural sciences or related discipline that can evidence quantitative and/or computing skills.
- Alternative subjects which may be considered include, but are not limited to, engineering, mathematics, human geography, geology, water resources engineering or management, physics, computer science or a related discipline.
- All applicants should possess an interest in using data science to understand the natural environment and address environmental issues.
- Applicants with a 2:2 (hons) will be considered on a case-by-case basis where they can demonstrate relevant work experience or competence in a relevant specialist field.
- Professional qualifications and relevant experience can also be considered.
Tuition Fees
Living costs
Leeds
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Environmental Data Science and Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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