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  Computational Archaeology: GIS, Data Science and Complexity MSc

University College London    Faculty of Social and Historical Sciences

Full time & Part time September MSc 1 year full time, 2 years part time
Computer Science (8) Geography (17) History & Archaeology (19)

FindAMasters summary

Are you fascinated by archaeology and want to explore the exciting world of computational methods? Look no further than the Computational Archaeology: GIS, Data Science and Complexity MSc programme at UCL. This unique programme equips you with the skills to analyze spatial data and use cutting-edge technologies like GIS, data mining, and web science. You'll learn from top researchers and professionals, gaining practical skills in programming, advanced spatial analysis, and agent-based simulation. With a strong focus on employability, this programme opens doors to a wide range of career opportunities in archaeology and related fields. Join us and become a leader in the field of computational archaeology!

About the course

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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.

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Entry Requirements

A minimum of an upper second-class Bachelor's degree in a relevant subject from a UK university or an overseas qualification of an equivalent standard.


UK tuition fees (2024/25)
Full-time: £15,100
Part-time: £7,550

Overseas tuition fees (2024/25)
Full-time: £31,100
Part-time: £15,550

 Course Content

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