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.
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).
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.
Further information on modules and degree structure is available on the department website: Computational Archaeology: GIS, Data Science and Complexity MSc
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.
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.
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, ten powerful workstations running Microsoft Windows 10, a digitising table and map scanner.
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.
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: Institute of Archaeology
73% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.
An opportunity to explore this cutting-edge field, where philosophy, psychology, neuroscience, linguistics, computer science and anthropology come together to discover how the mind works.
You’ll be based in the Department of Philosophy but you’re free to take any MA module in the departments of Archaeology, Human Communication Sciences, Linguistics and Psychology.
Lectures and seminars. Fortnightly supervision for guided reading.
You’ll write a long essay for each module and a dissertation.
If you’re going on to a PhD you may choose to write a PhD proposal.
Small Unmanned Aircraft (SUA) which are more commonly referred to as Drones are now being used for commercial purposes in an exciting and booming business sector predicted to be worth more than £15 billion in the next 10 years.
This practical orientated MSc in Unmanned Aircraft Systems (UAS) Technology has been specifically designed for professionals whose occupational fields would benefit from applications of UAS technology. These are as diverse as agriculture, logistics, surveying, mining, forestry, ecology, archaeology, emergency services, estate management, virtual reality and computer gaming. This course is also ideal for those who are keen to enter this industry sector and wish to develop a thorough understanding of UAS Technology.
During this course you will construct a Drone and gain an in depth understanding of drone and payload sensor technology. This course will also help to build your confidence as a drone operator, allowing you to safely undertake simulated and actual UAS missions in the knowledge that you have complied with all of the relevant statutory requirements.
UAS are frequently used for data-gathering purposes and during this course you will have the opportunity and the analytical support to gather and analyse data as part of the project dissertation. Typical forms of data gathering are 3D terrain mapping and surveying using PIX4D software.
The structural design and component architecture of UAS is also a rapidly evolving field of technology. Here at Wrexham Glyndwr University we have the facilities and technical support staff necessary to realise the conceptual ideas that you may have. Our Advanced Composite Centre facility allows the manufacture and testing of high performance UAS airframes, there are rapid prototyping and 5-axis CNC machining facilities, wind tunnels for aerodynamic testing and our electrical and electronic build and test laboratories are available for the production and testing of control, sensor and power supply circuitry.
Drone Technology & Operations.
Advanced UAV Operations and the Law.
UAV Sensor Technology and Measurement Techniques.
Sustainable Design and Innovation
Critique based on a quantitative or qualitative research framework or methodology.
Individual report and presentation relating to a proposed research strategy.
Presentation and Group Report
Practical & Coursework
A series of Flight Tests.
Based on an investigation or comparison of a relevant UAS technology.
Learning Logs/Journals relating to the design and build of a UAS.
Test-Flight of a UAS.
Examination relating to UAS commercial legislation.
Critical evaluation of a realistic scenario relating to UAS payloads, telemetry and transmission systems.
Based on sensor technology and theory.
A critical evaluation of an aspect of current sensor technology, research and advanced scholarship.