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- Computational Archaeology: GIS, Data Science and Complexity MSc
Computational Archaeology: GIS, Data Science and Complexity MSc
Course options
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Qualification
MSc - Master of Science
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Location
UCL (University College London)
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Study mode
Full time
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Start date
26-SEP-22
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Duration
1 year
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. 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 spatial analysis with R, and agent-based simulation.
CareersApproximately one third of graduates of the programme have gone on to do PhDs at universities such as Cambridge, Leiden, McGill, Thessaloniki and Washington State. Of these, some continue to pursue GIS and/or spatial analysis techniques as a core research interest, while others use the skills and inferential rigour they acquired during their Master's as a platform for more wide-ranging doctoral research. Several graduates who went on to doctoral research are now lecturers in computational Archaeology: at the University of Cambridge, Queen's University Belfast and the University of Colorado. Other graduates have gone to work in a range of archaeological and non-archaeological organisations worldwide. These include specialist careers in national governmental or heritage organisations, commercial archaeological units, planning departments, utility companies, the defence industry and consultancies.
EmployabilityThis degree offers a considerable range of transferable practical skills as well as instilling a more general inferential rigour which is attractive to almost any potential employer. Graduates will be comfortable with a wide range of web-based, database-led, statistical and cartographic tasks. They will be able to operate both commercial and oper source software, will be able to think clearly about both scientific and humanities-led issues, and will have a demonstrable track record of both individual research and group-based collaboration.
Application deadline
31 March 2022
Modules
Tuition fees
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£ 26,600per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
8th
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Campus address
UCL (University College London), Gower Street, London, Camden, WC1E 6BT, England
Subject rankings
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Subject ranking
3rd out of 33 11
5th out of 100 2
7th out of 113 13
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Entry standards
/ Max 212162 83%4th
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Graduate prospects
/ Max 10064.0 64%16th
5 -
Student satisfaction
/ Max 54.34 87%5th
2 -
Entry standards
/ Max 240183 83%7th
2 -
Graduate prospects
/ Max 10080.0 80%18th
12 -
Student satisfaction
/ Max 53.98 80%64th
8 -
Entry standards
/ Max 236198 89%7th
11 -
Graduate prospects
/ Max 10092.0 92%19th
8 -
Student satisfaction
/ Max 53.89 78%61st
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