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The Bartlett Centre for Advanced Spatial Analysis

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Shape the future of our cities through advanced spatial analysis

Gain future skills in urban design, AI and data science at the world’s #1 university for built environment studies (QS World University Subject Ranking 2024).


Are you ready to acquire the skills to transform, design, and govern the smart cities of tomorrow? At the UCL Bartlett Centre for Advanced Spatial Analysis (CASA), we bring together some of the brightest minds across multiple disciplines to explore and solve the challenges facing modern urban environments. 


The expertise you’ll develop through our courses will open doors to exciting career opportunities in urban planning, city governance, engineering, data science, and beyond. These are the essential skills driving the development of tomorrow’s cities.

Our degrees

A digital cloud computing network hovers above a cityscape, with interconnected icons symbolising various technologies and data connections, emphasising the concept of cloud computing and smart cities.

Connected Environments MSc

Connected Environments MSc is a forward-thinking degree with a focus on building, coding, and deploying devices to sense, communicate, and analyse data related to our built and natural environments. This programme addresses the industry need for skills in programming, data capture, visualisation, and prototyping to tackle key environmental challenges. 

Image: Claude Lynch

Urban Spatial Science MSc

The Urban Spatial Science MSc course 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 analytics, machine learning (ML), reproducible research, and remote sensing technologies.

Image: Zhixuan (Willow) Liu

Urban Spatial Science MRes

Urban Spatial Science MRes explores the theoretical, social and scientific foundations of the modern built environment through a geo-spatial, data-oriented lens.

CASA-2020-1

Urban Spatial Science Degree Apprenticeship MSc

Candidates must have a sponsoring employer based in England who will employ them in a spatial data science or geographic information science role and is prepared to provide a work place mentor and enter into an employer agreement with UCL.

CASA-Research

Centre for Advanced Spatial Analysis MPhil/PhD

The MPhil/PhD in Advanced Spatial Analysis is ideal for students interested in modelling diverse social and physical aspects of cities. The programme covers topics like complexity theory and smart cities, linking disciplines such as geography, urban planning, and architecture.  

Map of London. Credit: Duncan Smith, The Bartlett Centre for Spatial Analysis, UCL

Part-Time and Modular/Flexible Study

Our degree courses can be taken in a full-time, part-time and Modular/Flexible basis.

Have questions? Book an appointment with a Course Director

If you have questions about our courses, you can contact our Course Directors to arrange an individual online appointment.

Connected Environments MSc: Prof Duncan Wilson

Urban Spatial Science MSc/MRes: Dr Duncan Smith

Urban Spatial Science Degree Apprenticeship MSc: Dr Andrew Maclachlan