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MSc Urban Spatial Science

  • DeadlineStudy Details:

    MSc 1 year full-time 2 years part-time 5 years flexible

Course Description

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

The Urban Spatial Science MSc delves into the theoretical, social, and scientific underpinnings of the modern built environment through a geospatial, data-centric approach.

This programme emphasises a hands-on understanding of advanced technical and methodological practices in urban analytics and data-driven decision-making. Key skills include mathematical, statistical, and simulation modelling; computer programming; spatial analysis; and data visualisation. These practical skills are reinforced by broad theoretical perspectives covering demographics, economics, urban form and function, network interactions and complexity, governance and policy, planning, and urban science.

The UCL Bartlett Centre for Advanced Spatial Analysis (CASA) offers optional modules that align with three primary research themes: Smart Cities and Urban Policy; Modelling and Simulation; and Data Visualisation. Core concepts applicable to all research themes establish a strong foundation in urban spatial science, while the research themes enable specialised exploration. The programme is intentionally interdisciplinary, leveraging expertise from geography, planning, computer science, physics, and the arts and humanities.

Graduates of the Urban Spatial Science MSc gain proficiency in coding, data-informed urban analytics, and a critical understanding of the limits of technology-driven ‘solutionism’. This equips them to be both technically skilled and critically reflective – able to look past the hype around smart cities, urban data science and urban science, and discern real insights.  

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.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

Student Destinations

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.

Module Details

Compulsory modules

  • Urban Systems Theory
  • Quantitative Methods
  • Geographic Information Systems and Science
  • Urban Spatial Science Dissertation

Optional modules

  • Urban Simulation
  • Group Mini Project: Digital Visualisation
  • Data Science for Spatial Systems
  • Smart Cities: Context, Policy and Government
  • Agent-based Modelling for Spatial Systems
  • Foundations of Spatial Data Science
  • Remotely Sensing Cities and Environments
  • PropTech: Introduction
  • Building Spatial Applications with Big Data

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