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.

Mode of study

  • Full-time 1 year
  • Flexible up to 5 years

Tuition fees

  • UK/EU Full-time: £6,200
  • Overseas Full-time: £19,050

Application date

  • All applicants: 1 August 2014

More details in Application section.

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 sophisticated, low-cost visualisation and analysis packages has generated a rise in the demand for the skills needed for data analysis and visualisation, especially analysing spatial data and mapping.

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).

Core Modules

  • 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.

Further details available on subject website:

Scholarships available for this department

Brown Family Bursary

This award is based on financial need.

Bartlett Masters Scholarship

These scholarships are based on financial need.

Further information about funding and scholarships can be found on the Scholarships and funding website.

Entry requirements

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.

International equivalencies

Select your country for equivalent alternative requirements

English language proficiency level: Standard

How to apply

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.

The deadline for applications is 1 August 2014.

Who can apply?

The programme is suitable for anyone interested in creating visualisation, maps, analyses and models to understand spatial systems. The course has a computational element, but we do not require computing qualifications foe entry. Successful applicats have come from fields including Geography, Architecture, Planning and Software Development.

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
Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.


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 programme

  • Ordnance Survey, Product Developer, 2012
  • UCL, PhD Student, 2012
  • BBC, Software Engineer, 2012


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.

Next steps


Ms Sonja Curtis

T: +44 (0)20 7679 1782


Centre for Advanced Spatial Analysis

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Staff View

"I am inspired by the excitement of innovation and finding the 'shiver down the spine' moment when you know a research idea has the potential to change a sector or to make a real difference in our knowledge and understanding of cities."

Dr Andrew Hudson-Smith

Director, CASA

Student View

"In my field of study I can learn the latest technological advances that relate to the urban environment and how to use them to become a better professional."

Flora Roumpani

Degree: PhD