Ecology & Epidemiology, Data Science for [MSc]
University of Glasgow · Scotland · DATA-SCIENCE-FOR-ECOLOGY-EPIDEMIOLOGY
Ecology & Epidemiology, Data Science for [MSc] is a Postgraduate taught degree at University of Glasgow, Scotland, typically 1 year of full-time study. It covers areas like conservation biology, conservation, animal health, research projects, differential equations, postgraduate research methods. The summary below is compiled from public course information — approximate, not official.
University of Glasgow
Postgraduate taught
1 year
£11,367
What you'll study in Ecology & Epidemiology, Data Science for [MSc]
Example subjects: KEY RESEARCH SKILLS, CONSERVATION GENETICS, MSC QMBCE RESEARCH PROJECT, ECONOMIC TOOLS FOR CONSERVATION, ASSESSMENT OF ANIMAL WELL-BEING, ANIMAL ETHICS AND LAW, ANIMAL IDENTIFICATION, DYNAMICS OF POPULATIONS, FUNDAMENTALS OF PROGRAMMING AND DATA GENERATING PROCESSES, CONSERVATION IN PRACTICE, HABITAT CREATION, MONITORING AND ASSESSMENT.
Frequently asked questions
How long is Ecology & Epidemiology, Data Science for [MSc]?
Ecology & Epidemiology, Data Science for [MSc] at University of Glasgow is typically 1 year of full-time study. Approximate — confirm with the university.
What will I study in Ecology & Epidemiology, Data Science for [MSc]?
Ecology & Epidemiology, Data Science for [MSc] covers areas like conservation-biology, animal-health, conservation, research-projects, data-structures, marketing-research, student-wellbeing, museum-practice.
How much does Ecology & Epidemiology, Data Science for [MSc] cost?
Indicative domestic fees for Ecology & Epidemiology, Data Science for [MSc] are around £11,367 (approximate, usually per year). International fees differ — confirm with the university.
Who offers Ecology & Epidemiology, Data Science for [MSc]?
Ecology & Epidemiology, Data Science for [MSc] is offered by University of Glasgow, Scotland.
Considering Ecology & Epidemiology, Data Science for [MSc]?
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Sources: University of Glasgow public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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