MSc Geographic Data Science and Spatial Analytics 12 months Postgraduate Programme By University of Bristol |TopUniversities
Subject Ranking

# 27QS Subject Rankings

Programme Duration

12 monthsProgramme duration

Tuitionfee

31,700 GBPTuition Fee/year

Application Deadline

25 Jul, 2025Application Deadline

Programme overview

Main Subject

Geography

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Are you passionate about using data and analytics to improve cities and solve spatial problems? The MSc in Geographic Data Science and Spatial Analytics will help you to achieve your ambitions. Join a School ranked first in the UK for 'Geography and environmental studies' research (THE analysis of REF 2021) and learn how to utilise cutting-edge tools and methods from the data science domain to analyse spatial data in order to tackle challenges spanning across various spatial scales: from neighbourhoods and cities to regions and supra-national systems.



Whether your background is in Geography, Planning, or Social Sciences more broadly, or in numerate subjects such as Computer Science and Engineering, this programme will help you succeed in the dynamic field of Geographic Data Science and Spatial Analytics.



You will master data science and machine-learning algorithms, tools, and data structures, and apply them to understand core theories and concepts in urban analytics and city science. You will be able to employ cartographic and geographic theory and concepts to map and model big geographic data. You will understand the main engineering concepts and principles around scientific computing and data infrastructure and use them to model smart cities and urban digital infrastructure.



The MSc in Geographic Data Science and Spatial Analytics builds upon the Quantitative Spatial Science (QuSS) research group within the School of Geographical Sciences and its longstanding history and excellence in quantitative geography and spatial analysis.

Programme overview

Main Subject

Geography

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Are you passionate about using data and analytics to improve cities and solve spatial problems? The MSc in Geographic Data Science and Spatial Analytics will help you to achieve your ambitions. Join a School ranked first in the UK for 'Geography and environmental studies' research (THE analysis of REF 2021) and learn how to utilise cutting-edge tools and methods from the data science domain to analyse spatial data in order to tackle challenges spanning across various spatial scales: from neighbourhoods and cities to regions and supra-national systems.



Whether your background is in Geography, Planning, or Social Sciences more broadly, or in numerate subjects such as Computer Science and Engineering, this programme will help you succeed in the dynamic field of Geographic Data Science and Spatial Analytics.



You will master data science and machine-learning algorithms, tools, and data structures, and apply them to understand core theories and concepts in urban analytics and city science. You will be able to employ cartographic and geographic theory and concepts to map and model big geographic data. You will understand the main engineering concepts and principles around scientific computing and data infrastructure and use them to model smart cities and urban digital infrastructure.



The MSc in Geographic Data Science and Spatial Analytics builds upon the Quantitative Spatial Science (QuSS) research group within the School of Geographical Sciences and its longstanding history and excellence in quantitative geography and spatial analysis.

Admission Requirements

6.5+
88+
3.3+
67+
An upper second-class honours degree. Applicants must have achieved 60% minimum or international equivalent in at least one module in Applied Statistics, Mathematics, Python or R as evidenced in their transcript. Online courses in data science may be considered on a case by case basis.

25 Jul 2025
1 Year
Sep

  • Candidates are required to submit references or letter(s) of recommendation for acceptance
  • Candidates are required to submit an essay(s) for acceptance

Tuition fees

Domestic
14,400 GBP
International
31,700 GBP

Scholarships

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