Ms Sonja Curtis
Tel: +44 (0)20 7679 1782
Fees and funding
Full details of funding opportunities can be found on the UCL Scholarships website
Research Assessment Rating
75% rated 4* (world-leading) or 3* (internationally excellent)
(What is the RAE?)
The programme information on this page relates to 2013 entry. 2014 content to appear here shortly.
Advanced Spatial Analysis and Visualisation MRes
This unique programme reflects the current state of play in geographic, urban and architectural information systems with an emphasis on visualisation, analysis and modelling. Taught at the Centre for Advanced Spatial Analysis, home of digital urban, it offers an innovative and exciting opportunity to study at UCL.
What will I learn?
Students gain a grounding in the principles and skills of social and spatial research, and develop an understanding of research methodology and methods of data collection and analysis. Subject specific courses provide students with the opportunity to develop skills in spatial analysis, to contribute to current debates in the field.
Why should I study this degree at UCL?
The Centre for Advanced Spatial Analysis (CASA) is a research centre specialising in computer-based methods such as GIS, urban simulation, mapping, visualisation, and CAD in cities and regions.
This MRes is unique in its focus on complexity, modelling, mapping and visualisation, pulling together the latest research in urban form, functionality and communication. Recent changes in the rise of web-based technologies and the development of low cost yet complex visualisation and analysis packages has generated a notable change in the demand for more traditional vendor specific information systems and computer-aided design courses.
See subject website for more information:
Availability: Full-time 1 year (flexible up to 5 years)
Students undertake modules to the value of 180 credits. The programme consists of four core modules (60 credits), a group mini-project (30 credits) and a research dissertation (90 credits).
All students undertake an independent research project with an emphasis on data collection, analysis and visualisation, which culminates in a substantial dissertation.
Teaching and Learning
The programme is delivered through a combination of lectures, seminars, tutorials and practical based workshops and classes. The interlinked laboratory-research-based mini project with data collection focuses on 'remote data mining' rather than fieldwork in the traditional planning/ geographical/ architectural sense. Assessment is through group and individual projects and the dissertation.
Further details available on subject website:
Entry and application
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. Applicants with a lower second-class Bachelor's degree may be considered on their individual merit.
For overseas equivalencies see the relevant country page.
How to apply
You may choose to apply online or download application materials; for details visit www.ucl.ac.uk/gradapps
The deadline for modular/flexible programmes is 6 September 2013. If you require a Tier 4 visa in order to study in the UK, then you are not eligible to apply or be made a offer of a place on a programme as a part-time (modular flexible) student. Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.
Who can apply?
The programme looks towards Web 3.0 (Read, Write, Execute) technologies and methods to deliver skills required for current/future professionals and policy makers engaged in spatially related projects, and can act as a pathway to a PhD or further career in ASAV.
What are we looking for?
When we assess your application we would like to learn:
- why you want to study Advanced Spatial Analysis and Visualisation at graduate level
- why you want to study Advanced Spatial Analysis and Visualisation at UCL
- what particularly attracts you to the chosen programme
- how your academic and professional background meets the demands of this challenging programme
- where you would like to go professionally with your degree
Research led skills are increasingly becoming a key element in shaping our understanding of complex spatial functions. Vast amounts of previously unused data are becoming available either from changes in accessibility, due to the nature of the network and cloud based computing, changing national data policies or more widely as a result of new mass data collection methodologies.
CASA is supported by many outside agencies such as the Greater London Authority, ESRI, Google and Ordnance Survey.
Find out more about London graduates' careers by visiting the Careers Group (University of London) website: