MSc in Computational Archaeology: GIS, Data Science and Complexity, University College London

London - Canada,

12 Months

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About this course

The MSc in Computational Archaeology at UCL focuses on using computer-based analytical methods to study archaeology and human history. Students will learn practical skills including Geographic Information Systems (GIS), programming, data mining, advanced spatial analysis, and agent-based simulation. The program draws on UCL's expertise and provides access to facilities like the Archaeological Computing and GIS laboratory. It is designed to prepare students for research or careers in archaeological and related sectors worldwide, emphasizing open data, open-source software, and real-world applicability.

Why this course is highly recommended

This programme is highly valued for its comprehensive coverage of GIS software, programming, and data analysis. It provides practical skills such as spatial analysis and agent-based simulation that are directly applicable to heritage and archaeology careers. The course is supported by expert faculty and offers access to cutting-edge facilities. Its strong link to the archaeological and heritage sectors and the opportunity to network through events like 'Careers in Ruins' make it an excellent choice for students aiming to excel in computational archaeology.

Specialisation

Students can specialise in technical fields such as Geographic Information Systems (GIS), computer simulation using open-source software, geophysical prospecting techniques like magnetometry and ground penetrating radar, and programming for archaeological purposes. The course offers a broad yet focused curriculum tailored to those interested in the computational, spatial, and data analysis aspects of archaeology.

Course fees

Application fees

32.83L

1st year tuition fees

32.83L

Living cost

Degree requirements

Applicants need a minimum of an upper second-class Bachelor's degree in archaeology or a related subject from a UK university or an overseas qualification of equivalent standard. An English level of at least Level 2 is required, with further details available on UCL's English language requirements page.

English language test

TOEFL

DUOLINGO

PTE

IELTS

Career prospects

Graduates can pursue careers in sectors such as tourism, heritage management, government policy, environmental sustainability, engineering, and academia. The skills gained—including spatial analysis, data science, programming, and research design—are highly transferable. The programme's emphasis on practical and analytical skills makes graduates attractive to a wide range of employers in archaeology and related fields.

FAQs

What are the core skills developed in this course?

You will develop skills in GIS, programming, data mining, spatial analysis, and agent-based simulation, along with practical experience in geophysical prospecting techniques.

What modules can I choose?

Options include GIS in Archaeology and History, Remote Sensing, Spatial Statistics, Digital Heritage, and more, with a Dissertation as a core component.