MSc Environmental Intelligence

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs
  • Environmental Intelligence is the integration of environmental and sustainability research with Data Science, Artificial Intelligence and cutting-edge digital technologies to provide organisations with the meaningful insight required to address the challenges associated with environmental and climate change
  • Learn the principles behind a wide variety of Data Science and Artificial Intelligence methods and how to apply them to environmentally related problems and challenges.
  • The programme can act as a conversion course, with no prior knowledge of coding, statistics or machine learning assumed, or you can build upon your existing skills and integrate them with environmental knowledge to address challenges associated with climate and environmental change.
  • Gain experience with a variety of languages essential to Data Science and Artificial Intelligence, including R and Python, and how to work with a range of data formats and structures.
  • Learn how to extract Environmental Intelligence from data, providing the information and insight that is required across critical sectors including energy, transportation, agriculture, financial services and healthcare.
  • The delivery of the programme is supported by the UK Met Office, with components of teaching and project supervision provided by experts from the Joint Centre for Excellence in Environmental Intelligence.
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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Environmental Intelligence: Data
  • Environmental Intelligence: Methods and Models
  • Topics in Environmental Intelligence
  • Communicating Data Science
  • Working with Data
  • Data Governance and Ethics
  • Environmental Intelligence Research Project
  • Statistical Data Modelling
  • Statistical Modelling in Space and Time
  • Digital Business Models
  • Business and Climate Change
  • Evolutionary Computation & Optimisation
  • Computer Vision
  • Social Networks and Text Analysis
  • High Performance Computing
  • Innovation and the Science/Policy Interface
  • Food Systems, Alternative Food Networks, and Ethical Consumption
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Sep 2025
    Sep 2026
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    4 - 6 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs