Computational Archaeology: GIS, Data Science and Complexity MSc

Postgraduate

In London

£ 10,410 VAT inc.

Description

  • Type

    Postgraduate

  • Location

    London

  • Duration

    1 Year

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.

Facilities

Location

Start date

London
See map
Gower Street, WC1E 6BT

Start date

On request

About this course

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.

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.

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Reviews

This centre's achievements

2018

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 14 years

Subjects

  • Data Mining
  • Network
  • Archaeology
  • Network Training
  • Computational
  • GIS
  • GIS software
  • Archaeological
  • Data science
  • Complexity MSc

Course programme

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

Core modules
  • Archaeological Data Science
  • Complexity, Space and Human History
Optional modules
  • Exploratory Data Analysis in Archaeology
  • GIS Approaches to Past Landscapes
  • GIS in Archaeology and History
  • Remote Sensing in Archaeology
  • Spatial Statistics, Network Analysis and Human History
  • 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.

Additional information

Fee - £21,440 (FT) £10,740 (PT)

Computational Archaeology: GIS, Data Science and Complexity MSc

£ 10,410 VAT inc.