University of Bristol
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 achieve your ambitions. You will learn how to utilise cutting edge tools and methods from data science 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, more broadly, Social Sciences or in numerate sciences such as Computer Science and Engineering this programme will help you succeed in the dynamic fields 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.
You will take the following 20 credit compulsory units:
- Data Science and Machine Learning in Geography
- Introduction to Scientific Computing
- Mapping and Modelling Geographic Data in R
- Urban Analytics and City Science
Then, you will be able to choose 40 credits from the list of postgraduate units offered by the School of Geographical Sciences. For example:
- An Introduction to GIS and Remote Sensing for Environmental Policy and Management
- Consultancy Project
- Qualitative Research Methods in Human Geography
A key components of the programme is the 60-credit dissertation, which is well aligned with 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 provides students with practical experience of formulating, designing, and undertaking a substantive and original piece of geographic data science research. Students are introduced to key principles of research design and research ethics through intensive training in this unit.
Visit our programme catalogue for full details of the structure and unit content for our MSc in Geographic Data Science and Spatial Analytics.
Program Reviews -
University of Bristol
|Starting Date:||Submission deadline||Status|
|January 1970||January 1970|