Course summary
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 and Social Sciences more broadly, or in numerate sciences 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 the 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.
Assessment method
https://www.bristol.ac.uk/study/media/postgraduate/admissions-statements/2024/msc-geographic-data-science-and-spatial-analytics.pdf
How to apply
International applicants
The University of Bristol welcomes applications from international students and accepts a wide range of qualifications for postgraduate study. If you study or have studied at a university outside the UK, please select the relevant page for further information on qualifications, scholarships and education representatives in your country/region: bristol.ac.uk/international/countries
Entry requirements
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. We will consider applicants whose interim grades are currently slightly lower than the programme's entry requirements. We may make these applicants an aspirational offer. This offer would be at the standard level, so the applicant would need to achieve the standard entry requirements by the end of their degree. Specific module requirements may still apply. We will consider applicants whose grades are slightly lower than the programme's entry requirements, if they have at least one of the following: - evidence of significant, relevant work experience; - a relevant postgraduate qualification. If this is the case, applicants should include their CV (curriculum vitae / résumé) when they apply, showing details of their relevant work experience and/or qualifications. See international equivalent qualifications on the International Office website.
Fees and funding
Tuition fees
| England | £13100 | Year 1 |
| Northern Ireland | £13100 | Year 1 |
| Scotland | £13100 | Year 1 |
| Wales | £13100 | Year 1 |
| Channel Islands | £13100 | Year 1 |
| EU | £28800 | Year 1 |
| International | £28800 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to an 8% increase in fees each year.
For more information, please view the programme page on our website.
Provider information
University of Bristol
Beacon House
Queen’s Road
Bristol
BS8 1QU