Geographic Data Science (PhD, EngD) at University of Bristol

Programme overview

This program trains the next generation of geographic data and quantitative social scientists who are interested in understanding how to use data science and other quantitative methods to tackle pressing geospatial challenges in social and natural environments. Examples of geographic data-driven methods include but are not limited to statistical methods; machine learning; artificial intelligence; GIS; earth observation and social sensing; cartography and data visualization; data infrastructure and management; and causal inference. Geospatial challenges can be broadly interpreted as any problems that involve using geospatial data.

Faculty: Faculty of Science and Engineering | Department: School of Geographical Sciences | Duration: Up to four years full-time, up to eight years part-time | Study mode: full-time, part-time | Intake: September 2027. | Location: Bristol, England, United Kingdom

Career pathways

Our students go on to employment in a wide variety of areas - often where statistical analysis and data science skills are required. Students also continue within academic careers, going on to post-doctoral and lecturing positions.

Official programme page

Application information

Entry requirements

An upper second-class degree (or equivalent qualification) with substantive (geographic) data science (at least 60 credits plus a (geographic) data science-focused dissertation). English language: profile level D.

Domestic applicants: GBP 5,343 a year (2027/28). full-time per year; 2027 entry, subject to annual review. Source

International applicants: GBP 28,300 a year (2027/28). full-time per year; 2027 entry, subject to annual review. Source

Intake: September 2027.

Duration: Up to four years full-time, up to eight years part-time

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

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