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MSc Applied Data Science - Ecology and Evolution

University of Exeter
  • Develop expertise in data-driven perspectives on ecology, evolution, conservation, biodiversity, and epidemiology
  • Based at our stunning Penryn Campus in Cornwall and run jointly by the University’s Environment and Sustainability Institute and the Centre for Ecology and Conservation
  • Be exposed to a wide variety of data and data analytics approaches with opportunities to work with industry, charities, or the public sector
  • You’ll be immersed in the “Big Data revolution” and develop expertise in data-driven perspectives on ecology, evolution, conservation, biodiversity, and epidemiology
  • Gain the skills and experience you need to succeed in the demanding and fast growing data analytics sectors particularly in relation to ecology and evolution
  • Develop expertise in data-driven perspectives on ecology, evolution, conservation, biodiversity, and epidemiology
  • Based at our stunning Penryn Campus in Cornwall and run jointly by the University’s Environment and Sustainability Institute and the Centre for Ecology and Conservation
  • Be exposed to a wide variety of data and data analytics approaches with opportunities to work with industry, charities, or the public sector
  • You’ll be immersed in the “Big Data revolution” and develop expertise in data-driven perspectives on ecology, evolution, conservation, biodiversity, and epidemiology
  • Gain the skills and experience you need to succeed in the demanding and fast growing data analytics sectors particularly in relation to ecology and evolution
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Modules

  • Compulsory modules
  • Fundamentals of Data Science
  • Trends in Data Science and AI
  • Data Science and Modelling Dissertation
  • Tackling Sustainability Challenges using Data and Models
  • Evolutionary and Behavioural Ecology: Frontiers and Approaches
  • Options modules
  • Applied Data Analysis
  • Preparing for Ecological Consultancy
  • Marine and Coastal Sustainability
  • Requirements

    Listed below are the documents required to apply for this course.
    1 year

    Duration

    Sep 2024

    Start Month

    Aug 2024

    Application Deadline

    Upcoming Intakes

    • September 2024

    Mode of Study

    • Full Time