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Masters

University of Glasgow

Quantitative Methods in Biodiversity, Conservation and Epidemiology MSc

UNIVERSITY OF GLASGOW

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Key information
Course Summary
Modules
Tuition fees
Entry requirements
University information
Location
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Different course options

Full time | Gilmorehill Campus | 12 months | SEP

Study mode

Full time

Duration

12 months

Start date

SEP

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Biology Evolutionary Biology Epidemiology

Course Summary

Quantitative skills are more in demand that ever, forming an essential basis for successful careers in ecology, conservation, and animal and human health. This Masters programme provides specific training in data collection, modelling and statistical analyses as well as generic research skills. It is offered by the School of Biodiversity, One Health & Veterinary Medicine, a grouping of top researchers who focus on combining field data with computational and genetic approaches to solve applied problems in epidemiology and conservation.Encompasses key skills in monitoring and assessing biodiversity critical for understanding the impacts of environmental change. Covers quantitative analyses of ecological and epidemiological data critical for animal health and conservation. Accredited by the Royal Society of Biology for the purpose of meeting, in part, the academic and experience requirement for the Membership and Chartered Biologist (CBiol).The programme provides a strong grounding in scientific writing and communication, statistical analysis, and experimental design. It is designed for flexibility, to enable you to customise a portfolio of courses suited to your particular interests.You will gain core skills and knowledge across a wide range of subjects that will enhance your selection chances for competitive PhD programmes. Graduate jobs can be found in the UK, Europe, Central America and Africa in national government, health institutes, NGOs and academia.

Modules

Key Research Skills (40 Credits) - Core

This course will teach all students a common baseline for writing of scientific essays, proposals and papers, oral presentation skills; introduction to the statistical analysis environment R, which is rapidly taking over as the most versatile programme for biological applications; Advanced Generallized Linear Mixed models (working in the R environment), which is critical for analysis of complex datasets; and Experimental design and power analysis, both in terms of being able to plan their own experiments but also being able to critically evaluate the validity of conclusions drawn from data analysed in published papers.

Programming in R (20 Credits) - Core

Research Project (60 Credits) - Core

Tuition fees

UK fees

Course fees for UK students

Contact University and ask about this fee

International fees

Course fees for EU and international students

For this course (month)

£2,475

Entry requirements

At least a 2.1 Honours degree or equivalent in a relevant subject. Professional experience and 2:2 applicants with a strong subject specific expertise may also be considered

University information

Uni profile Get prospectus

The University of Glasgow is one of four ancient universities in Scotland, founded back in 1451. Alumni include seven Nobel Prize winners, Scotland’s First Minister and a Prime Minister, while Albert Einstein gave a seminal lecture on the theory of relativity there in 1933. The university consists of four colleges: College of Arts College of Medical, Veterinary and Life Sciences College of Science and Engineering College of...more

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