Modes and duration
- Full-time: 1 year
- Flexible: up to 5 years
Tuition Fees (2015/16)
- £6,385 (FT)
- £19,620 (FT)
- All applicants:
- 31 July 2015
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.
English Language Requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Standard
Further information can be found on our English language requirements page.
Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.
International applicants can find out the equivalent qualification for their country by selecting from the list below.
Select your country:
Students gain a grounding in the principles and skills of spatial research, data analysis and visualisation and virtual environments, 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 and to contribute to current debates in the field.
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).
- GI Systems and Science
- Spatial Modelling and Simulation
- Knowledge Power
- Communication Skills
- Group Mini Project: Digital Visualisation
- There are no optional modules for this programme.
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.
The Centre for Advanced Spatial Analysis is offering an EPSRC-funded postgraduate studentship, available for two years from September 2014, to an outstanding individual. More details are available on our website.
Scholarships relevant to this department are displayed below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
- £5,000 (1 year)
- UK, EU, Overseas students
- Based on financial needs
- £15,000(1 year)
- UK students
- Based on both academic merit and financial needs
More scholarships are listed on the Scholarships and Funding website
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.
Top career destinations for this degree
- Product Developer, Ordnance Survey (2012)
- PhD Student, UCL (2013)
- Software Engineer, BBC (2012)
- Head of Data, The Children's Society (2013)
The MRes ASAV offers a unique skillset in computation mapping, visualisation and geospatial research, with recent graduates working at Ordnance Survey and the BBC, as well as a number continuing to PhDs. Through PhD partners, Knowledge Transfer Partnerships and substantial outreach, CASA is well-connected to the world outside academia.
Why 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, data visualisation, and and 3D environments in cities and space.
This MRes is unique in its focus on visualisation, complexity, modelling and mapping, pulling together the latest research in urban form, functionality and communication. Graduates leave with a unique and powerful set of computational and communication skills, and knowledge around urban systems and quantitative social research.
Student / staff ratios › 8 staff › 19 taught students › 14 research students
Department: Centre for Advanced Spatial Analysis
Application and next steps
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 is ideal for people interested in creating visualisations, maps, analyses and models to understand spatial systems. Our students come from both humanities and social and physical science backgrounds including, geography, architecture, planning, software development, philosophy and landscape architecture.
The programme has computational and technical elements, but we do not require computing qualifications for entry; just enthusiasm and the desire to learn.
- All applicants
For more information see our Applications page.Apply now
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