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Computational Archaeology: GIS, Data Science and Complexity MSc


University College London Institute of Archaeology

Full time & Part time September MSc Full time: 1 year Part time: 2 years

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.

About this degree

Students learn about a wide range of concepts that underpin computational approaches to archaeology and human history. Students become proficient in the archaeological application of both commercial and open source GIS software and learn other practical skills such as programming, data-mining, advanced

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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.

If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.

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