Geographic Data Science and Spatial Analytics

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.

Months of entry

September

Course content

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.

Information for international students

See international equivalent qualifications on the International Office website.

Fees and funding

Students from developing Commonwealth countries may be eligible to apply for the Commonwealth Shared Scholarship Scheme, University of Bristol Think Big Postgraduate Scholarship, and the School of Geographical Sciences Phyllis Mary Morris Bursaries.

Further information on funding for prospective UK and international postgraduate students.