Taught course

Computational Archaeology: GIS, Data Science and Complexity

UCL - University College London · Institute of Archaeology

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. The English language level for this programme is: Good. Further information can be found on our English language requirements http://www.ucl.ac.uk/prospective-students/graduate/life/international/english-requirements page.

Months of entry


Course content

Geographical information systems (GIS) are transforming the way archaeologists handle spatial data. At the same time, there continue to be important advances in our ability to analyse and interpret spatial information. This MSc offers an advanced training in this field, drawing on the unparalleled concentration of expertise within UCL.

The teaching staff bring together a range and depth of expertise that enables students to develop specialisms including advanced UNIX-based GIS, spatial and temporal statistics, digital landscape survey, space syntax analysis and agent-based computer simulation.

Most practical classes are held in the Institute's Archaeological Computing and GIS laboratory. This laboratory contains two Linux servers, ten powerful workstations running Microsoft Windows 7, a digitising table and map scanner.

Students benefit from the collaborations we have established with other institutions and GIS specialists in Canada, Germany, Italy and Greece together with several commercial archaeological units in the UK.

Full-time: 1 year; Part-time: 2 years;

Qualification and course duration


full time
12 months
part time
24 months


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.

Course contact details

+44 (0)20 3370 1214