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Computational Archaeology: GIS, Data Science and Complexity MSc
Course Overview - Computational Archaeology: GIS, Data Science and Complexity MSc
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 UCLs unparalleled concentration of expertise to equip you for future research or significantly enhance your employability.
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 UCLs unparalleled concentration of expertise to equip you for future research or significantly enhance your employability.
Course Information
2 options available
2 options available
Some courses vary and have tailored teaching options, select a course option below.
Course Information
Course Details
Information
Study Mode
Part-time
Duration
2 Years
Start Date
09/2025
Campus
London, Bloomsbury
Application Details
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
U80
Points of Entry
Unknown
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