Environmental Intelligence

Environmental Intelligence (EI) 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 EI: 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.

The MSc Environmental Intelligence will provide comprehensive training in the application of data science, artificial intelligence and statistical modelling to address the challenges associated with environmental and climate change through a truly inter-disciplinary delivery of domain and technical knowledge. A wide variety of statistical modelling and machine learning methods will be covered through the core modules of this course, the emphasis is on learning methods and techniques through their application using real-world examples of Environmental Intelligence. Specific focus will be on the communication of results and understanding the implications that different data generating mechanisms can have on interpretation. Course content will range from introductory material covering the basic mathematical and coding techniques that will be required through to the application of cutting-edge methods for analysing complex patterns in data, and the social and legal context for data analytics.

 

Content will be delivered through a combination of lectures, hands-on practical sessions, individual self-study, and group work on Exeter’s Streatham campus.

The MSc in Environmental Intelligence is a 1-year full-time programme of study at Regulated Qualifications Framework (RQF) Level 7 (as confirmed against the FHEQ). The programme is divided into units of study called ‘modules’ which are assigned a number of ‘credits’. The credit rating of a module is proportional to the total workload, with 1 credit being nominally equivalent to 10 hours of work. 

 

The programme comprises 180 credits in total.

 

Exit Awards
 

If you do not complete the programme, you may be able to exit with a lower qualification.

 

Postgraduate Diploma: At least 120 credits of which 90 or more must be at RQF Level 7.

 

Postgraduate Certificate: At least 60 credits of which 45 or more must be at RQF Level 7.

In accordance with University policy, a system of Personal Tutors is in place for all students on this programme. A University-wide statement on such provision is included in the University's TQA Manual. As a student enrolled on this programme, you will receive the personal and academic support of the Programme Coordinator and will have regular scheduled meetings with your Personal Tutor; you may request additional meetings as and when required. The role of personal tutors is to provide you with advice and support for the duration of the programme and extends to providing you with details of how to obtain support and guidance on personal difficulties, such as accommodation, financial difficulties, and sickness. You can also make an appointment to see individual teaching staff.

Information Technology (IT) Services provide a wide range of services throughout the Exeter campuses including open access computer rooms, some of which are available 24 hours, 7 days a week. Help may be obtained through the Helpdesk, and most study bedrooms in halls and flats are linked to the University's campus network. Additionally, the Faculty has its own dedicated IT support staff, helpdesk and computer facilities which are linked to the wider network, but which also provide access to some specialised software packages. Email is an important channel of communication between staff and students in the Faculty and an extensive range of web-based information (see https://intranet.exeter.ac.uk/emps/) is maintained for the use of students, including a comprehensive and annually revised student handbook.

The Harrison Learning Resource Centre is generally open during building open hours. The Centre is available for quiet study, with four separate rooms that can be booked for meetings and group work. Amongst its facilities, the Learning Resource Centre has a number of desks, four meeting rooms with large LCD screens, and free use of a photocopier. Also available are core set texts from your module reading lists, and undergraduate and MSc projects from the past two years.

Online Module study resources provide materials for modules that you are registered for, in addition to some useful subject and IT resources. Generic study support resources, library and research skills, past exam papers, and the 'Academic Honesty and Plagiarism' module are also available through the student portal (http://vle.exeter.ac.uk).

Student/Staff Liaison Committee enables students & staff to jointly participate in the management and review of the teaching and learning provision.

Undergraduate applicants must satisfy the Undergraduate Admissions Policy of the University of Exeter.

Postgraduate applicants must satisfy the Postgraduate Admissions Policy of the University of Exeter.

Specific requirements required to enrol on this programme are available at the respective Undergraduate or Postgraduate Study Site webpages.

Entry requirements

Candidates will be required to have at least a 2:1 or equivalent qualification.

Successful applicants will usually have at least 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 programme.

IELTS overall score 6.5. No less than 6.0 in any section.