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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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
PhD
Study Level
PHD
Study Mode
On Campus
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.
Admission Requirements
67+
88+
6.5+
An upper second-class degree (or equivalent qualification) with substantive (geographic) data science (at least 60 credits plus a (geographic) data science-focused dissertation).
4 Years
Sep
Domestic
4,850 GBP
International
26,700 GBP
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
PhD Geographic Data Science
# 51-100QS Subject Rankings
48 monthsProgramme duration
26,700 GBPTuition Fee/year
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
PhD
Study Level
PHD
Study Mode
On Campus
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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
PhD
Study Level
PHD
Study Mode
On Campus
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.
Admission Requirements
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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