Computational Archaeology — GIS Science and Complexity

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.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), two optional modules (30 credits) and a research dissertation (90 credits).

Core modules

• Archaeological Data Science
• Complexity, Space and Human History

Optional modules

• Agent-based Modelling of Human History
• Exploratory Data Analysis in Archaeology
• GIS Approaches to Past Landscapes
• GIS in Archaeology and History
• Remote Sensing
• Spatial Statistics, Network Analysis and Human History
• The Archaeology of Complex Urban Sites: Analytical and Interpretative Technology
• Web and Mobile GIS (by arrangement with the UCL Department of Civil and Geomatic Engineering
• Other options available within the UCL Institute of Archaeology

Dissertation/report

All students undertake an independent research project which culminates in a dissertation of 15,000 words.

Teaching and learning

The programme is delivered through lectures, tutorials and practical sessions. Careful provision is made to facilitate remote access to software, tutorials, datasets and readings through a combination of dedicated websites and virtual learning environments. Assessment is through essays, practical components, project reports and portfolio, and the research dissertation.

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.