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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Newcastle University

  • Study mode

    Full time

  • Start date

    SEP

  • Duration

    12 months

Course summary

About this course

This course addresses the severe shortage of scientists trained to a high standard in both data modelling and ecology. Ecological and environmental scientists now generate large amounts of observational data. The data could be from:

camera traps
GPS records
epidemiology
eDNA samples

Due to the unique combination of ecology and big data, the course is suitable for:

ecologists involved in scientific research
graduates in mathematics or computing

As an interdisciplinary course, some modules are unique whilst others are shared with other courses. This ensures that you will gain:

detailed technical skills needed by future employers
understanding of the broader ecological context of data collection.

What you'll learn

You will gain hands-on experience of using modern computing and modelling methods. This will develop your essential technical skills, which are in demand by employers. Through taught modules and a research project, you will also enhance broader abilities such as:

a critical review of scientific literature
ethics
advance planning

Statistical methods, modelling and technical skills are developed in the taught component. Modules subject areas include:

statistical methods
ecological modelling for wildlife and conservation
meta-analysis and decision support
bioinformatics
phylogenetics
human impacts on natural systems
visualisation of ecological data
geographic information systems and remote sensing.

Tuition fees

Students living in United States
(international fees)

£ 23,400per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

Newcastle University

  • University League Table

    23rd

  • Campus address

    Newcastle University, King’s Gate, Newcastle upon Tyne, Northumberland, NE1 7RU, England

Subject rankings

  • Subject ranking

    32nd out of 103 2

    26th out of 110

  • Entry standards

    / Max 240
    148 65%

    31st

    8
  • Graduate prospects

    / Max 100
    73 73%

    55th

    1
  • Student satisfaction

    / Max 5
    3.99 80%

    68th

    16
  • Entry standards

    / Max 236
    149 62%

    32nd

    9
  • Graduate prospects

    / Max 100
    87 87%

    36th

  • Student satisfaction

    / Max 5
    4.05 81%

    29th

    43

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