- 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 r...
<br/>- 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<br/><br/><br/>- 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<br/><br/><br/>- 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<br/><br/><br/>- 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<br/><br/><br/>- 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<br/><br/><br/>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.<br/><br/>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.<br/><br/>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.<br/><br/>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.
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Course Details
Information
Study Mode
Full-time
Duration
1 Years
Start Date
09/2025
Campus
University of Exeter - Streatham Campus
Provider Details
Codes/info
Course Code
Unknown
Institution Code
E84
Points of Entry
Unknown
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