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Environmental Intelligence at University of Exeter - UCAS

Course options

2023 - 20242024 - 2025
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Course summary

  • 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
  • No prior knowledge of coding, statistics or machine learning is 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
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. We will provide you with training in the three core components of Environmental Intelligence: data science and artificial intelligence, environmental challenges, and the use of data in society. Core modules introducing data science, statistical modelling and machine learning will be delivered using environmental examples and will be accompanied by modules covering the communication of data science, ethics and governance. You will be able to choose from a range of optional modules covering topics such as digital business models, high-performance computing, food systems, business and climate change and innovation and the science-policy interface. In addition to the taught component of the programme, you will be able to apply your newly developed skills in an extended piece of research allowing you to focus on an area that is of particular interest to you. During this time you will have the opportunity to work directly with experts from across the University of Exeter and, for certain projects, with experts from the Met Office.

Modules

See our website for details of the modules available for this programme: https://www.exeter.ac.uk/postgraduate/courses/datascience/envint/#course-content

Assessment method

See our module descriptions for details of assessment methods:https://www.exeter.ac.uk/postgraduate/courses/datascience/envint/#course-content

Qualified teacher status (QTS)

To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:

  • Course does not award QTS

Entry requirements

Successful applicants will usually have at least a 2:1 in their undergraduate degree, but we will consider alternative qualifications and experiences and all applicants are considered on their individual merits. Applicants must have an A level or equivalent in Mathematics and/or have received quantitative skills training as part of their undergraduate programme or professional experience. Prior experience of coding is not necessary on this course. For full information, including English language requirements and international equivalencies, please visit our website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

See our website for full details regarding tuition fee and other costings: https://www.exeter.ac.uk/postgraduate/courses/datascience/envint/#fees

Sponsorship information

We invest heavily in scholarships for talented prospective Masters students. This is in addition to the UK Government’s Postgraduate Loan Scheme. For information on how you can fund your postgraduate degree at the University of Exeter, please visit the postgraduate study pages of our website at www.exeter.ac.uk/postgraduate/fees/fundingyourmasters

Environmental Intelligence at University of Exeter - UCAS