Want to know what it's like to study this course at uni? We've got all the key info, from entry requirements to the modules on offer. If that all sounds good, why not check out reviews from real students or even book onto an upcoming open days?
MSc - Master of Science
Clifton Campus
Full Time
SEP
1 Year
Select a course option
MSc - Master of Science
Clifton Campus
Full Time
SEP
1 Year
MSc - Master of Science
Clifton Campus
Part Time
SEP
2 Years
Select a subject
Select a an exam type
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.
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.
Students living in
Domestic
£14,400 per year
Students from Domestic
accommodation fee - Living expenses - As a guide, most students spend between £9,000 and £15,000 per year including accommodation.
£31,700 per year
Students from EU
accommodation fee - Living expenses - As a guide, most students spend between £9,000 and £15,000 per year including accommodation.
£31,700 per year
Students from International
accommodation fee - Living expenses - As a guide, most students spend between £9,000 and £15,000 per year including accommodation.
Check out our
Bristol city guideUniversity of Southampton