Foundations of Spatial Data Science (CASA0013) | UCL
University College London ยท England ยท CASA0013
Foundations of Spatial Data Science (CASA0013) | UCL is a subject at University College London, England. It covers topics like data-analytics, data-science, spatial-sciences, urban-studies. It is part of 9 degrees. The information below is compiled from public course material โ approximate, not official.
University College London
CASA0013
3.00
Topics covered
Degrees that include Foundations of Spatial Data Science (CASA0013) | UCL
- Centre for Advanced Spatial Analysis MPhil/PhD
- Connected Environments MSc
- Data Science and Public Policy (Political Science) MSc
- Knowledge, Information and Data Science MSc
- Sociology and Data Science MSc
- Space Science and Engineering: Space Science MSc
- Urban Spatial Science Degree Apprenticeship MSc
- Urban Spatial Science MRes
- Urban Spatial Science MSc
Frequently asked questions
What is Foundations of Spatial Data Science (CASA0013) | UCL about?
Foundations of Spatial Data Science (CASA0013) | UCL covers topics like data-analytics, data-science, spatial-sciences, urban-studies.
Which degrees include Foundations of Spatial Data Science (CASA0013) | UCL?
Foundations of Spatial Data Science (CASA0013) | UCL is part of 9 degrees, including Centre for Advanced Spatial Analysis MPhil/PhD, Connected Environments MSc, Data Science and Public Policy (Political Science) MSc, Knowledge, Information and Data Science MSc, Sociology and Data Science MSc.
How many credit points is Foundations of Spatial Data Science (CASA0013) | UCL?
Foundations of Spatial Data Science (CASA0013) | UCL at University College London is typically around 3.00 credit points. Approximate โ confirm with the university.
Where is Foundations of Spatial Data Science (CASA0013) | UCL taught?
Foundations of Spatial Data Science (CASA0013) | UCL is taught at University College London, England.
Studying Foundations of Spatial Data Science (CASA0013) | UCL?
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Sources: University College London public course catalogue. Information is compiled and summarised โ not copied verbatim โ and is approximate; always confirm with the original source.
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