Urban Spatial Science MRes

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.

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.

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.

Employability

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).

Teaching and learning

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

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.