MSc Applied Data Science (Ecology and Evolution) 12 months Postgraduate Programme By University of Exeter |TopUniversities
Subject Ranking

# 151-200QS Subject Rankings

Programme Duration

12 monthsProgramme duration

Main Subject Area

MathematicsMain Subject Area

Programme overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

MSc Applied Data Science (Ecology and Evolution)

Overview

  • 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


To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.

Programme overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

MSc Applied Data Science (Ecology and Evolution)

Overview

  • 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


To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.

Admission Requirements

For full details about our entry requirements, including English language requirements and international equivalencies, please visit our course page. 

1 Year
Sep

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