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    Computational Archaeology: GIS, Data Science and Complexity MSc
    Go to University College London (UCL)
    University College London (UCL)

    Computational Archaeology: GIS, Data Science and Complexity MSc

    University College London (UCL)

    University College London (UCL)

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    United Kingdom, London

    University RankQS Ranking
    9

    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Campuses

    Main Site

    London

    Bloomsbury

    Program Language

    English

    Start & Deadlines

    Next Intake Deadlines 31-Mar-2023
    Apply to this program

    Go to the official application for the university

    Duration 1 year(s)
    Tuition Fee
    GBP 31,100  / year
    Apply Date 31-Mar-2023

    Computational Archaeology: GIS, Data Science and Complexity MSc

    About

    About this degree

    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.

    Who this course is for

    The programme is particularly suitable for graduates with a first degree in archaeology or a related subject who are planning a PhD involving the analysis of spatial data, or who wish to benefit from the growing use of GIS in professional archaeology to build a career in this field.

    What this course will give you

    The teaching staff bring together a range and depth of expertise that enables students to develop specialisms including industry-standard and open-source GIS, advanced spatial and temporal statistics, computer simulation, geophysical prospection techniques and digital topographic survey.

    Most practical classes are held in the Institute's Archaeological Computing and GIS laboratory. This laboratory contains Linux servers and ten powerful workstations running Microsoft Windows 10.

    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.

    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.

    Requirements

    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.

    English Program Requirements

    Career

    Approximately one third of graduates of the programme have gone on to do PhDs at universities such as Cambridge, Leiden, McGill, Pretoria, 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 Archaeology: at the University of Cambridge, Queen's University Belfast, the University of British Columbia, the University of Colorado, the University of Botswana and Great Zimbabwe University. 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, the British Civil Service and consultancies.

    Fee Information

    Tuition Fee

    GBP 31,100 

    Application Fee

    GBP  
    University College London (UCL)

    Computational Archaeology: GIS, Data Science and Complexity MSc

    University College London (UCL)

    [object Object]

    United Kingdom,

    London

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