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Computational Archaeology: GIS, Data Science and Complexity MSc

Computational Archaeology: GIS, Data Science and Complexity MSc

Different course options

Full time | UCL (University College London) | 1 year | 26-SEP-22

Study mode

Full time

Duration

1 year

Start date

26-SEP-22

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Archaeology Geographical Information Systems Software (Use) Data Science

Course type

Taught

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.

Careers

Approximately 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.

Employability

This 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.

Modules

Complexity, Space and Human History - Core
Archaeological Data Science - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

12,900

International fees
Course fees for EU and international students

For this course (per year)

26,600

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.

University information

University College London (UCL) is one of the largest and most highly ranked higher education institutions in the world, conducting leading research across a wide range of subject areas. Throughout its long and prestigious history, it has inspired and educated countless minds and produced 30 Nobel prize recipients. With one campus located in the heart of Bloomsbury, and a second campus in vibrant east London the university is home to around...more

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