Computational Archaeology: GIS, Data Science and Complexity (Taught)
- 2 Study options
- Postgraduate
- London, Bloomsbury
Course summary
Top archaeological researchers and heritage professionals use a raft of computational methods including GIS, data mining, web science, ABM, point-process modelling and network analysis. To impress employers you need the flexibility to learn on the job, leverage open data and program open source software. This MSc draws on UCL's unparalleled concentration of expertise to equip you for future research or significantly enhance your employability.
Entry requirements
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Fees and funding
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Course optionsRelated courses
At UCL (University College London)
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