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    University of Glasgow

    Master in Data Science for Ecology & Epidemiology MSc

    Glasgow, United Kingdom1.5 yearsTaught in EnglishOpen to international students

    Why students choose this program

    • Taught in English
    • Scholarships available for international students
    • No application fee

    About MSc Data Science for Ecology & Epidemiology

    For MSc Data Science for Ecology & Epidemiology, the tuition fee is 31,050 GBP per year.

    Programme Overview

    The MSc Data Science for Ecology and Epidemiology is an applied master's degree designed to transform life scientists into quantitative data science specialists. The programme addresses the critical data revolution in biological sciences, shifting focus from raw data collection to high-level analysis and interpretation.

    Who it’s for

    This programme is ideal for life scientists seeking to develop rigorous technical expertise in statistics and computation to influence global change, disease control, and biodiversity conservation. It acts as a "quantitative hub" within the School of Biodiversity, One Health and Veterinary Medicine.

    Distinctive Features

    • Focus on actionable modelling using GLMMs, Machine Learning, Bayesian inference, and Causal frameworks.
    • Interdisciplinary study community alongside students in conservation and animal welfare.
    • Flexible curriculum allowing customisation of specialisations in biodiversity monitoring or epidemiology.
    • Emphasis on polyglot data science, with core delivery in R and opportunities to utilise Python or Julia.

    About University of Glasgow

    Founded in 1451 and located in Glasgow, the University of Glasgow is one of the United Kingdom's oldest research-intensive universities, welcoming over 34,800 students to a historic yet forward-looking campus. With nearly 300 distinct programs spanning the arts, sciences, engineering and social sciences, the university combines deep academic traditions with contemporary teaching methods. Its city setting offers a lively cultural and professional scene for student life.

    Students benefit from strong research links, industry collaborations and opportunities for work-integrated learning across disciplines. The university's teaching emphasizes critical thinking and practical application, supported by modern facilities and extensive library and laboratory resources. International students find a broad choice of programs, academic support services, and active societies that foster intellectual growth and community engagement.

    Prospective international applicants receive tailored guidance on admissions, scholarships and visas, alongside orientation programs that help with settling into Glasgow. The university's global alumni network and career services support transitions into employment or further study, making it an appealing choice for students who want robust academic training in a dynamic, multicultural UK city.

    Planning the visa? United Kingdom student visa: cost, requirements and processing time (from $1,760 all-in)

    Scholarships You Could Apply For at University of Glasgow

    Funding relevant to this program — the university's own awards and popular scholarships for studying in United Kingdom.

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    United Kingdom·University

    Glasgow Global Leadership Scholarship

    University of Glasgow

    £10,000

    Master's
    Open·Next: Usually closes in July
    Browse all scholarships →

    English Test Requirement

    6.5 overall with no subtest less than 6.0

    MSc Data Science for Ecology & Epidemiology: Frequently Asked Questions

    What are the fees for Master in Data Science for Ecology & Epidemiology MSc?
    Tuition: GBP 31,050 per year.
    Is Master in Data Science for Ecology & Epidemiology MSc available online?
    This is an on-campus program at University of Glasgow in Glasgow.

    Related Programs You Can Apply To

    Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

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