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Computational Archaeology: GIS, Data Science and Complexity (Taught)

Course details
  • 2 Study options
  • Postgraduate
Course location
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.

Fees and funding

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