The Geocomputation and Spatial Analysis (GSA) theme within King’s College London undergraduate Geography degree builds on a step-change in our ability to work with large geographical data sets. The design of the GSA theme is informed by the dearth of geographers able to think computationally using programming, data analysis and data manipulation skills. There is a severe skills shortage in this domain across all sectors: non-profit, government, corporate, and academic.
GSA is one of the first offerings in the UK to link technical competency in computation and spatial analysis to broader issues in geographic understanding of society, space and the environment. Our objective is to enable students to access, understand, utilise, visualise and communicate data in a geographical context. GSA is not about pushing buttons, but about using logic, programming, and analytical skills to tackle complex real-world problems in a creative, reproducible, and open manner. Modules take students from the foundations of computer programming to applied issues in (geo)data analysis providing highly employable skills in programming, statistics, and visualisation (including GIS).
How The GSA ‘Theme’ Works
GSA was designed a sequence of modules that build on one another: you are free to stop following the GSA theme at any time (using the usual module add/drop process), but you can usually only take a more advanced module if you have taken all of the preceding modules. For Study Abroad students you must consult with the GSA team before leaving for your term (or year) abroad if you wish to return to take our 3rd year module.
Currently the theme is composed of three modules and one optional ‘boot camp’ activity: Code Camp; Foundations of Spatial Data Science; Principles of Spatial Data Science; and Applications of Spatial Data Science. More information about these modules can found on the relevant pages of our site.
The GSA ‘Degree’
If, as a Geography undergraduate, you take and pass all three of our GSA modules then you will have “(with Geocomputation & Spatial Analysis)” added to your degree certificate. You remain a BA or BSc student, but this will help employers to recognise the additional work that you have done on these modules in addition to the ‘Spatial Data Science’ modules.
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