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Viewing as a student from United States living in United States interested in Undergraduate courses

Computational Archaeology: GIS, Data Science and Complexity MSc

UCL (University College London)

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    UCL (University College London)

  • Study mode

    Full time

  • Start date

    SEP

  • Duration

    1 year

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.

Tuition fees

Students living in United States
(international fees)

£ 23,630per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

UCL (University College London)

  • University League Table

    10th

  • Campus address

    UCL (University College London), Gower Street, London, Camden, WC1E 6BT, England

Subject rankings

  • Subject ranking

    14th out of 32 8

    7th out of 103 1

    20th out of 110 7

  • Entry standards

    / Max 212
    n/a

  • Graduate prospects

    / Max 100
    65 65%

    21st

  • Student satisfaction

    / Max 5
    4.25 85%

    7th

    4
  • Entry standards

    / Max 240
    184 81%

    9th

    1
  • Graduate prospects

    / Max 100
    77 77%

    30th

    1
  • Student satisfaction

    / Max 5
    3.97 79%

    72nd

    13
  • Entry standards

    / Max 236
    170 71%

    18th

    10
  • Graduate prospects

    / Max 100
    89 89%

    27th

  • Student satisfaction

    / Max 5
    3.68 74%

    100th

    2

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