Urban Spatial Science MRes

London, Bloomsbury

The Urban Spatial Science MRes programme equips students with a multi-disciplinary and critical perspective on approaches to understanding, monitoring and improving global urban resilience and sustainability through the use of data and spatial analysis.

UK students International students
Study mode
UK tuition fees (2023/24)
Programme also available on a modular (flexible) basis.
Overseas tuition fees (2023/24)
Programme also available on a modular (flexible) basis.
1 calendar year
2 calendar years
5 calendar years
Programme starts
September 2023
Applications accepted
All applicants: 17 Oct 2022 – 30 Jun 2023
Applications close at 5pm UK time

Applications open

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.

The English language level for this programme is: Level 1

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level. International Preparation Courses

Further information can be found on our English language requirements page.

Equivalent qualifications

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. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.

About this degree

The programme is composed of three pathway options: (1) Smart Cities and Urban Policy, (2) Modelling and Simulation, and (3) Visualisation. Core concepts applicable to all programme pathways provide a foundation in urban spatial science, with pathways supporting optional thematic specialisation. The programme is deliberately cross-disciplinary, drawing on staff with backgrounds in geography, planning, computer science, physics, as well as the arts and humanities.

Taught content explores the theoretical, social and scientific foundations of the modern built environment through a geo-spatial, data-oriented lens. We also cultivate a practical appreciation of the technical and methodological ‘state-of-the-art’ associated with urban analytics and data-driven decision making, including: mathematical, statistical and simulation modelling, computer programming, spatial analysis and visualisation. Importantly, these practical skills are underpinned by broad theoretical perspectives on demographics, economics, form and function, network interactions and complexity, governance and policy, planning and, crucially, urban science.

Through learning what is possible with code, about the benefits of data-informed urban analytics, and (as importantly) about the limitations of technology-led solutionism, our graduates are distinguished as being simultaneously technically-capable and critically reflective, able to look past the hype that accompanies the buzz around smart cities, urban data science and urban science.

The new MRes Urban Spatial Science replaces the previous MRes Spatial Data Science and Visualisation at CASA.

Who this course is for

We are looking for students interested in cities, environment, spatial science, visualisation and computational methods. There is no required academic background, but those students with architecture, planning or geography degrees would be suited to the programme. We welcome applicants from any stage of their career.

What this course will give you

The UCL Bartlett Centre for Advanced Spatial Analysis (CASA) is one of the leading research centres in the science of cities, generating new knowledge and insights for use in city planning, policy and design, and drawing on the latest geospatial methods and ideas in computer-based visualisation and modelling.

Key Highlights from REF 2021:

  • The Bartlett is where the UK’s most ‘World Leading’ and ‘Internationally Excellent’ built environment research is undertaken. 
  • 91% of our research has been deemed ‘World Leading’ and ‘Internationally Excellent’.
  • The Bartlett is number one for Research Power in the built environment.  It is the UK’s largest faculty of the built environment and REF 2021 has confirmed both our unique breadth, and excellence across this portfolio.

The foundation of your career

Students have access to departmental and UCL career events each term. The department has an active alumni network, both within the UK and internationally.


This programme provides students with the skills and knowledge base to embark on a professional or academic path through the highly interdisciplinary field of urban spatial science and the wider urban planning and policy fields (see the summary programme description and learning outcomes for specific skills).

Since its original inception in 2013, graduates have gone on to pursue a wide variety of careers in local government, urban planning, software development and academic research. This is indicative of the breadth of knowledge and opportunities afforded by our programme.

Teaching and learning

The modules on the programme are delivered through a combination of diverse teaching and learning activities in traditional and ‘flipped’ formats. Lectures feature widely, as do computer-based practical classes, tutorials alongside both student and teacher led discussion groups. Self-study is expected throughout the programme.

In addition to formal teaching, students can learn directly from experts in the built environment and spatial analysis through the weekly term time CASA seminar series.

Assessment is undertaken via a variety of means, including practical projects, group presentations, written technical coursework reports, essays, workbooks, and a final research dissertation.

Typically students will spend 35 hours per week studying that includes attending lectures, seminars, practical sessions and self study. Each module will provide guidance on the expected division of time.


The degree consists of compulsory modules in term 1 and pathways or recommended modules in terms 2 and 3, alongside a final dissertation in term 3.

Urban Spatial Science MRes

Compulsory modules

  • CASA0001 Urban Systems Theory
  • CASA0005 Geographic Information Systems and Science
  • CASA0007 Quantitative Methods
  • CASA0004 Dissertation

Smart Cities and Urban Policy Pathway

  • CASA0008 Smart Cities: Context, Policy and Government
  • CASA0002 Urban Simulation
  • CASA0023 Remotely Sensing Cities and Environments

Data Visualisation Pathway

  • CASA0006 Data Science for Spatial Systems
  • CASA0003 Digital Visualisation: Group Mini Project

Urban Modelling and Simulation Pathway

  • CASA0006 Data Science for Spatial Systems
  • CASA0011 Agent Based Modelling for Spatial Systems
  • CASA0002 Urban Simulation

The pathways are recommended combinations of optional modules, but students are open to take any combination of the above optional modules up to 45 credits. In addition to the modules listed above (on other pathways) students can choose from the following optional CASA modules-

  • CASA0013 Foundations of Spatial Data Science Introduction to Programming for Spatial Analyst
  • CASA0024 PropTech: Introduction
  • CASA0025 Building Spatial Applications with Big Data

Alternatively students can select up to one 15 credit elective module from outside of CASA. This elective module must be relevant to the overall MRes Urban Spatial Science degree. Departments at UCL with suitable relevant elective modules include Geography, Civil Environmental & Geomatic Engineering, Computer Science, the Bartlett School of Architecture and the Bartlett School of Planning.

Part-time students on the MRes Urban Spatial Science will take the following programme structure-

Part-time Year One

· CASA0005 Geographic Information Systems & Science

· CASA Optional module - CASA0013 Foundations of Spatial Data Science suggested for students with little programming experience

· CASA Optional module

Part-time Year Two

· CASA0001 Urban Systems Theory

· CASA0007 Quantitative Methods

· CASA Elective module

· CASA0004 Dissertation

Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability are subject to change. Modules that are in use for the current academic year are linked for further information. Where no link is present, further information is not yet available.

Students undertake modules to the value of 180 credits. Upon successful completion of 180 credits, you will be awarded an MRes in Urban Spatial Science.


As part of the dissertation module students may have opportunities to collaboratively work with external organisations on dissertation projects. This usually involves meeting in the partner’s office (the academic supervisor is typically present as well), but on occasion students may be allocated a workspace.

However, this is not a requirement of any dissertation project or the module and is on a case-by-case basis.


Details of the accessibility of UCL buildings can be obtained from AccessAble accessable.co.uk. Further information can also be obtained from the UCL Student Support & Wellbeing team.

Fees and funding

Fees for this course

UK students International students
Fee description Full-time Part-time
Tuition fees (2023/24) £14,100 £7,050
Tuition fees (2023/24) £32,100 £16,050

Programme also available on a modular (flexible) basis.

The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Where the programme is offered on a flexible/modular basis, fees are charged pro-rata to the appropriate full-time Master's fee taken in an academic session. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees.

Additional costs

A standard specification laptop is strongly advised.

For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs.

Funding your studies

Several external funding opportunities are available to applicants of this programme, including: ESRI Geospatial Scholarship Fund and the Chevening Scholarships.

Please note in your application if you have applied for any scholarship.

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

Bartlett Promise Scholarship - Master's

Deadline: 31 May 2023
Value: Tuition fees plus £15,364 maintenance/yr (Duration of programme)
Criteria Based on financial need
Eligibility: UK

Bartlett Promise Sub-Saharan Africa Masters Scholarship

Deadline: 31 March 2023
Value: Fees, stipend and other allowances (Duration of programme)
Criteria Based on financial need
Eligibility: EU, Overseas

Brown Family Bursary

Deadline: 8 June 2023
Value: £15,000 (1 year)
Criteria Based on both academic merit and financial need
Eligibility: UK

CASA Urban Futures Master's Scholarships

Deadline: 01 July 2023
Value: £10,000 (1yr)
Criteria Based on both academic merit and financial need
Eligibility: UK

Commonwealth Shared Scholarship Scheme (CSSS)

Deadline: 13 December 2022
Value: Full fees, flights, stipend, and other allowances (1 year)
Criteria Based on both academic merit and financial need
Eligibility: EU, Overseas

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.

When we assess your application we would like to learn:

  • why you want to study Urban Spatial Science at graduate level
  • why you want to study Urban Spatial Science at UCL
  • what particularly attracts you to this programme
  • how your academic and professional background meets the demands of this 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.

Please note that you may submit applications for a maximum of two graduate programmes (or one application for the Law LLM) in any application cycle.

Choose your programme

Please read the Application Guidance before proceeding with your application.

Year of entry: 2023-2024

UCL is regulated by the Office for Students.