Close icon

Personalise what you see on this page.

Choose from the options below. We'll show you information based on your current location as default.

I'M FROM

  • United States
Please select so we can show the most relevant content.

LIVING IN

  • United States
Please select so we can show the most relevant content.

LOOKING FOR

  • Undergraduate courses
Please select so we can show the most relevant content.
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)

Add to favourites

Course options

  • Qualification

    MSc - Master of Science

  • Location

    UCL (University College London)

  • Study mode

    Full time

  • Start date

    22-SEP-25

  • 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.

Tuition fees

Students living in United States
(International fees)

£ 33,000per 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

    13th

  • Campus address

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

Subject rankings

  • Subject ranking

    3rd out of 25 2

    12th out of 117 5

  • Entry standards

    / Max 205
    153 75%

    6th

  • Graduate prospects

    / Max 100
    96.0 96%

    1st

    2
  • Student satisfaction

    / Max 5
    3.12 78%

    16th

    12
  • Entry standards

    / Max 223
    186 83%

    14th

  • Graduate prospects

    / Max 100
    95.0 95%

    8th

    8
  • Student satisfaction

    / Max 5
    2.83 71%

    106th

    9

Suggested courses

Goldsmiths, University of London
NEARBY

MSc Data Science and Artificial Intelligence

Goldsmiths, University of London

University league table

University of Bath
SIMILAR RANKING

Statistics and Data Science MSc – 2 years with professional placement

University of Bath

Archaeology league table

6
Liverpool Hope University
MOST VIEWED

Data Science (MSc)

Liverpool Hope University

University league table

90

Is this page useful?

Yes No

Sorry about that...

HOW CAN WE IMPROVE IT?

SUBMIT

Thanks for your feedback!