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MSc Environmental Data Analytics

  • DeadlineStudy Details: 1 year full-time, up to 2 years full-time with professional placement - multiple intakes

Masters Degree Description

If you are interested in using data to make a difference and to understand and respond to environmental challenges, this course could be for you. It is designed to help you apply digital and analytical tools to tackle sustainability and environmental challenges.

Learn how to use AI, machine learning, GIS and remote sensing to support in creating solutions to environmental challenges.
Gain hands-on experience analysing real-world environmental data to explore global issues.
Develop knowledge and skills that could support your career development in areas such as consultancy, government, NGOs and research focused on climate, biodiversity and sustainability.

Start dates:

  • March 2026
  • May 2026
  • July 2026
  • September 2026

Entry Requirements

An honours degree 2:2 or above (or international equivalent) in any environmental sciences, engineering, physical sciences, management sciences, biochemical sciences, statistics, or mathematics discipline.

We recognise a breadth of qualifications, speak to one of our advisers today to find out how we can help you.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

A range of financial support is available for postgraduate study including loans, flexible payment options, discounts and scholarships.

Student Destinations

Graduates of this course could go on to work in roles such as:

Environmental data scientist
Climate analyst/climate modeller
Risk and resilience consultant
GIS and remote sensing specialist
Sustainability and environmental impact analyst
Policy and research analyst

The graduate destinations listed above illustrate potential career paths. You may need to gain additional qualifications or practical experience, pass professional examinations, complete training, cover associated costs and meet specific visa or immigration requirements to secure employment in these fields.

Module Details

Spheres of the Environment and Climate Change Adaptation — 30 credits
Environmental GIS and Remote Sensing Applications — 30 credits
Programming and Machine Learning — 30 credits
DBMS, Big Data and Communication for Data Scientists - 30 credits
Master's with professional placement
Research Project — 60 credits

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