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Advanced Spatial Analysis MPhil/PhD

This programme is likely to appeal to students interested in modelling aspects of cities, social or physical, or in understanding the impact of new technologies on an evolving society. CASA gives students the opportunity to explore a wide range of subjects from complexity to smart cities, from a theoretical or applied perspective pertinent to contemporary problems.

Key information

Programme starts

September 2017

Modes and duration

Full time: 3 years
Part time: 5 years

Tuition fees (2017/18)

£4,915 (FT) £2,455 (PT)
£19,230 (FT) £9,840 (PT)

Application dates

Note on fees: The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Current Students website.

Location: London, Bloomsbury

Entry requirements

A UK Master’s degree, or its equivalent from a recognised international institution, in a relevant discipline such as geographic information systems, spatial analysis or a quantitative social science.

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.

International students

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:


Studying at CASA gives students a unique opportunity to develop research within a strong academic centre, linking different areas, such as geography, mathematics, physics, urban planning and architecture, in collaboration with different national and international universities. CASA also has partnerships with industry and the government, facilitating insertion within these areas.

Research areas

  • Complexity: spatial network analysis, scaling and explanatory mechanisms
  • Design and visualisation: GIS and datavis; CAD, multimedia and 3D models; virtual cities; virtual and augmented realities
  • Geodemographics: neighbourhood profiling; health; crime; public service delivery
  • ICT in society: web-based cities; the spatial organisation of the internet; social media; the Internet of Things
  • Simulation: agent-based models, spatial models, land use transportation models.
More information can be found on the department website: Advanced Spatial Analysis MPhil/PhD


Funding for PhD research is extremely competitive, so we can only rarely offer scholarships. When funding is available it will be advertised on our website and we would be happy to work with applicants to secure their own funding from other sources.

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.


Graduates from CASA go on to work in world-leading universities (in the US at Berkeley, University of California and at George Mason, University of Maryland, Johns Hopkins University; and in the UK at King’s College London, the Universities of Bristol and Liverpool), where they lecture and set up their own research centres. Graduates moving into the private sector have become key players in geospatial organisations (Transport for London, Dr Foster and AGI) and advisers to large government departments including the Ministries of Defence and Transport, and the Department for Communities and Local Government.

Top career destinations for this degree

  • Senior Researcher, FHNW and studying TEA, UCL
  • Senior Researcher, FHNW and studying TEA, UCL


Studying for a CASA PhD offers unrivalled opportunities to interact with world-leading researchers in a truly interdisciplinary environment. We frequently host visitors from around the world and encourage attendance at leading conferences across a range of disciplines. There are also opportunities to present and network as part of our seminar series as well as hear about the research of others. Much of our research is applied in the commercial and policy context and so our graduates develop the expertise to secure demanding roles at top-level organisations. Many often return to CASA as visiting researchers to further strengthen our links with the academic, commercial and government sector.


As a part of London's "Global University" there are a huge number of networking opportunities for CASA students to benefit from. We have a weekly seminar series and social event that attracts people from across London to hear about the latest cities research. This provides a relaxed atmosphere in which CASA students can get to know one another and the CASA research network. In addition, our students are encouraged to represent CASA at key events, such as academic conferences, where they become known to the broader community. Finally we are keen to attract funding and students who have commercial or government partners.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2012–2014 graduating cohorts six months after graduation.

Why study this degree at UCL?

CASA is a leading research centre that belongs to the UCL Bartlett Faculty of the Built Environment. It has a world-leading PhD programme from which 40 students have graduated during the last 12 years.

Its multi-disciplinary perspective, ranging from urban planning and policy to complexity theory, gives the student a wider overview than more traditional programmes with a specific focus. As a result, many CASA alumni now have successful academic careers, or have become key advisors to government and industry. The programme is intensive as students are encouraged to contribute to CASA’s research community alongside taking any taught courses they may wish to.

Department: Centre for Advanced Spatial Analysis

Student / staff numbers › 34 staff › 40 taught students › 18 research students

Research Excellence Framework (REF)

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: Centre for Advanced Spatial Analysis

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.

What our students and staff say

Student view

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

Flora Roumpani

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

The Advanced Spatial Analysis and Visualisation (ASAV) MRes, Smart Cities and Urban Analytics MSc, and the Smart Cities in CASA MRes.
Director, CASA
Student view

"CASA has a great mix of researchers including planners, engineers, physicists, programmers, data artists, architects and more. They bring a diverse range of methods to apply to the same problem – understanding cities. It is a very cohesive and collaborative department, and as an added bonus, we have fun toys in our office!"

Greg Erhardt


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.

Application deadlines

Deadlines and start dates are usually dictated by funding arrangements so check with the department or academic unit to see if you need to consider these in your application preparation. In most cases you should identify and contact potential supervisors before making your application. For more information see our How to apply page.

For more information see our Applications page.

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Contact information


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