Overview

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 structure

You will take four compulsory units and select two optional units from the list of postgraduate units offered by the School of Geographical Sciences.

Visit our programme catalogue for full details of the structure and unit content for our MSc in Geographic Data Science and Spatial Analytics.

A key component of the programme is the dissertation, which is well aligned with the programme's philosophy. Dissertations will be written in a paper format following the principles of reproducibility - for instance using open-source computational notebooks such as RMarkdown/Jupyter.

The bulk of the dissertation work will take place during summer months. The dissertation will provide you with practical experience of formulating, designing, and undertaking a substantive and original piece of geographic data science research. You will be introduced to key principles of research design and research ethics through intensive training in this unit.

Entry requirements

You will typically need an upper second-class honours degree or international equivalent in any subject. You will also need to have achieved 60% minimum (or international equivalent) in at least one of the below modules during your final two years of study:

  • Applied Statistics
  • Mathematics
  • Machine Learning
  • Data Mining
  • Quantitative Geography
  • Python or R
  • Online courses in data science may be considered on a case by case basis.

If you are currently completing a degree, we understand that your final grade may be higher than the interim grades or module/unit grades you have achieved during your studies to date. We will consider your application if your interim grades are currently slightly lower than the programme's entry requirements and may make you an aspirational offer. This offer would be at the standard level, so you would need to achieve the standard entry requirements by the end of your degree. Specific module requirements would still apply.

We will also consider your application if your final overall achieved grade is slightly lower than the programme's entry requirement. If you have at least one of the following, please include your CV (curriculum vitae / résumé) when you apply, showing details of your relevant qualifications:

  • evidence of relevant work experience in data science or geography/urban planning fields. Minimum one year.
  • a relevant postgraduate qualification in data science, geography, urban studies, rural development or regional studies.

Specific module requirements would still apply.

See international equivalent qualifications on the International Office website.

Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.

Go to admissions statement

If English is not your first language, you will need to reach the requirements outlined in our profile level C.

Further information about English language requirements and profile levels.

Fees and funding

Home: full-time
£14,400 per year
Home: part-time (two years)
£7,200 per year
Overseas: full-time
£31,700 per year

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.

More about tuition fees, living costs and financial support.

Alumni discount

University of Bristol students and graduates can benefit from a 25% reduction in tuition fees for postgraduate study. Check your eligibility for an alumni discount.

Funding and scholarships

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.

Career prospects

This MSc provides graduates with the skills needed for successful careers as data scientists and data consultants in private and public sector. Students have gone on to work in consultancy and engineering companies, and also governmental and third sector organisations. Top graduates can populate research institutes and think-tanks and support the advancement of Geographic Data Science.

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