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MSc Ecology and Data Science

  • DeadlineStudy Details:

    MSc 1 year full-time, 2 years part-time

Course Description

MSc Ecology & Data Science provides students with the interdisciplinary skills, theoretical and practical expertise needed to apply cutting-edge innovations in data science, citizen science, sensor technologies, and applied artificial intelligence to monitor and manage ecosystems and wildlife populations to understand and reverse catastrophic changes in global biodiversity. This interdisciplinary programme will develop the next generation of professionals better equipped to address critical global environmental challenges across society.

About this degree

The MSc Ecology and Data Science will develop your data science skills from the conceptual to the practical following a unique approach that builds a foundational understanding of ecological theory, biodiversity monitoring methods, statistical programming, practical knowledge of cutting-edge sensor technologies, and environmental applications of artificial intelligence and data-driven modelling.

Who this course is for

Our new cross-disciplinary postgraduate programme will welcome students interested in ecology and wildlife conservation technologies, citizen science to big data analytics, sustainable urban design and health.

Entry Requirements

Normally, an upper second-class (2:1) UK Bachelor’s degree in life sciences, environmental sciences or related subject area, or an overseas qualification of an equivalent standard. Applicants with an appropriate professional qualification and relevant work experience.

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Fees

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

Student Destinations

Upon completion of the MSc Ecology & Data Science, you will possess the project management skills, and theoretical and practical experience needed to implement cutting-edge technological, statistical, and computational solutions to address ecological and environmental challenges across society. You will also leave with the necessary insight to plan and undertake independent research, and the ability to report its findings to a variety of audiences.

Employment destinations may include engineering, development and environmental consultancies; academia; museums; civil service; local government; environmental charities; conservation charities.

Module Details

Compulsory modules

  • AI for the Environment
  • Nature-Smart Challenge
  • MSc Ecology and Data Science Research Project
  • Computational Methods in Biodiversity Research
  • Foundations in Ecology and Ecological Monitoring
  • Technology for Nature

Optional modules

  • Behavioural Ecology for the Anthropocene
  • Science Communications for Biologists
  • Biodiversity Generation and Maintenance
  • Foundations of Citizen Science
  • Social Prescribing and Community Wellbeing

Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability is subject to change.

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