MSc Geospatial Data Science at University of Bristol

Programme overview

Spatial data is central to how we understand today's most pressing challenges, from urban inequality, infrastructure, and mobility to climate risk and environmental change. The MSc in Geospatial Data Science will equip you with advanced skills in geographic data science, spatial statistics, and GeoAI, enabling you to analyse complex spatial datasets and translate them into evidence for real-world decision-making. You will study in the School of Geographical Sciences, ranked 15th globally for Geography in the QS World University Subject Rankings 2026.

Faculty: Faculty of Science and Engineering | Department: School of Geographical Sciences | Duration: One year full-time, Two years part-time. Part-time study requires daytime weekday attendance | Study mode: full-time, part-time | Intake: September 2027 | Location: Bristol, England, United Kingdom

What you will study

The programme structure of the MSc in Geospatial Data Science follows the data science workflow from data collection and access to data analysis and visualisation. The programme will teach you core skills and knowledge of AI methods, machine learning models, and geographic theories, with a focus on geospatial applications in fields such as city science, policymaking, and environmental management. It aims to train the next generation of geographic data scientists who can responsibly use and develop a wide range of methods and tools to tackle pressing societal and environmental challenges.

Career pathways

In addition to the University's wide range of career services, the School of Geographical Sciences offers dedicated coaching sessions and workshops to support students' future careers. The School also regularly organizes alumni events to help connect the current students with past graduates working in various sectors.

Official programme page

Application information

Entry requirements

You will typically need an upper second-class honours degree or an international equivalent in any social science, science, mathematics, or professional degree (medicine, architecture, planning or engineering). All other degree subjects will be considered on a case-by-case basis if you can demonstrate academic experience in data science, GIS, coding, modelling, or statistics. Alternatively, six months paid work experience/internship in a quantitative, data science or analysis, or GIS role in government, NGO or industry may be considered to demonstrate sufficient academic experience; these will be considered on a case-by-case basis. English language: profile level E.

Domestic applicants: GBP 15,000 a year (2027/28). full-time per year; 2027 entry, subject to annual review. Source

International applicants: GBP 33,200 a year (2027/28). full-time per year; 2027 entry, subject to annual review. Source

Intake: September 2027

Duration: One year full-time, Two years part-time. Part-time study requires daytime weekday attendance

Apply through the official page: https://www.bristol.ac.uk/study/postgraduate/apply/start-application/

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