Geographic Data Science PhD

University of Bristol

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. Particularly, potential supervisors at the University of Bristol have expertise in policy, demography, social inequality, social geography, sustainability, human mobility, digital economy, cities, health, climate science, education, and so on. In contrast to its sister programs, PhD in Human Geography and PhD in Physical Geography, this program emphasises methodological innovation and application. It is aimed at those interested in advancing existing computational methods or applying state-of-the-art digital and data-driven techniques to any topics that are related to geography. We welcome applicants from any relevant background, such as geography, social science and policy, statistics, computer science, cognitive science, and environmental science.

Faculty of Science and Engineering