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- UCL (University College London)
- 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
22-SEP-25
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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.
Modules
Tuition fees
- United States
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- Austria
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- Fiji
- Finland
- France
- Gabon
- Gambia
- Georgia
- Germany
- Ghana
- Greece
- Grenada
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- Guinea
- Guinea-Bissau
- Guyana
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- Iceland
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- Ivory Coast
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- Lesotho
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- Luxembourg
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- Namibia
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- Seychelles
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- Spain
- Sri Lanka
- St Vincent
- St. Kitts & Nevis
- St. Lucia
- Sudan
- Suriname
- Swaziland
- Sweden
- Switzerland
- Syria
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- Tonga
- Trinidad & Tobago
- Tunisia
- Turkey
- Turkmenistan
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- Yemen
- Zambia
- Zimbabwe
£ 33,000per 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
13th
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Campus address
UCL (University College London), Gower Street, London, Camden, WC1E 6BT, United Kingdom
Subject rankings
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Subject ranking
3rd out of 25 2
12th out of 117 5
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Entry standards
/ Max 205153 75%6th
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Graduate prospects
/ Max 10096.0 96%1st
2 -
Student satisfaction
/ Max 53.12 78%16th
12 -
Entry standards
/ Max 223186 83%14th
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Graduate prospects
/ Max 10095.0 95%8th
8 -
Student satisfaction
/ Max 52.83 71%106th
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