12 monthsProgramme duration
40,200 GBPTuition Fee/year
25 Jun, 2027Application Deadline
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Master's
Study Mode
On Campus
This interdisciplinary course examines how urban data is collected, analysed and used, and how spatial methods can support research, policy and decision-making. You explore the social, environmental and governance contexts that shape urban systems, applying critical and technical approaches to areas such as housing, transport, climate resilience and urban inequality.
Through a hands-on approach, you learn to apply advanced analytical methods to urban questions. You develop practical expertise in coding, spatial analysis, urban data science and reproducible research, alongside a critical understanding of urban systems, governance and the limits of technology-driven decision-making. The course encourages you to evaluate urban data carefully, recognising both the insights data can provide and the gaps, biases and uncertainties it may contain.
You tailor your studies through specialist pathways connected to the research strengths of the Bartlett Centre for Advanced Spatial Analysis. The four pathways are Big Data and AI, Smart Cities and Urban Policy, Urban Modelling and Simulation, and Data Visualisation, allowing you to shape the MSc around your interests and future direction.
The course culminates in an independent dissertation, where you develop an original research project that brings together analysis, visualisation and critical reflection. Partner dissertations are available each year, where students are set proposals from partner organisations. You then have the opportunity to refine these project ideas and develop your own research approach. Previous partner organisations have included Transport for London, Westminster City Council, Arup and UN agencies.
You graduate equipped with the technical, analytical and critical skills needed for careers across urban analytics, planning, policy, data science, research and the wider built environment sector.
Through a hands-on approach, you learn to apply advanced analytical methods to urban questions. You develop practical expertise in coding, spatial analysis, urban data science and reproducible research, alongside a critical understanding of urban systems, governance and the limits of technology-driven decision-making. The course encourages you to evaluate urban data carefully, recognising both the insights data can provide and the gaps, biases and uncertainties it may contain.
You tailor your studies through specialist pathways connected to the research strengths of the Bartlett Centre for Advanced Spatial Analysis. The four pathways are Big Data and AI, Smart Cities and Urban Policy, Urban Modelling and Simulation, and Data Visualisation, allowing you to shape the MSc around your interests and future direction.
The course culminates in an independent dissertation, where you develop an original research project that brings together analysis, visualisation and critical reflection. Partner dissertations are available each year, where students are set proposals from partner organisations. You then have the opportunity to refine these project ideas and develop your own research approach. Previous partner organisations have included Transport for London, Westminster City Council, Arup and UN agencies.
You graduate equipped with the technical, analytical and critical skills needed for careers across urban analytics, planning, policy, data science, research and the wider built environment sector.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Master's
Study Mode
On Campus
This interdisciplinary course examines how urban data is collected, analysed and used, and how spatial methods can support research, policy and decision-making. You explore the social, environmental and governance contexts that shape urban systems, applying critical and technical approaches to areas such as housing, transport, climate resilience and urban inequality.
Through a hands-on approach, you learn to apply advanced analytical methods to urban questions. You develop practical expertise in coding, spatial analysis, urban data science and reproducible research, alongside a critical understanding of urban systems, governance and the limits of technology-driven decision-making. The course encourages you to evaluate urban data carefully, recognising both the insights data can provide and the gaps, biases and uncertainties it may contain.
You tailor your studies through specialist pathways connected to the research strengths of the Bartlett Centre for Advanced Spatial Analysis. The four pathways are Big Data and AI, Smart Cities and Urban Policy, Urban Modelling and Simulation, and Data Visualisation, allowing you to shape the MSc around your interests and future direction.
The course culminates in an independent dissertation, where you develop an original research project that brings together analysis, visualisation and critical reflection. Partner dissertations are available each year, where students are set proposals from partner organisations. You then have the opportunity to refine these project ideas and develop your own research approach. Previous partner organisations have included Transport for London, Westminster City Council, Arup and UN agencies.
You graduate equipped with the technical, analytical and critical skills needed for careers across urban analytics, planning, policy, data science, research and the wider built environment sector.
Through a hands-on approach, you learn to apply advanced analytical methods to urban questions. You develop practical expertise in coding, spatial analysis, urban data science and reproducible research, alongside a critical understanding of urban systems, governance and the limits of technology-driven decision-making. The course encourages you to evaluate urban data carefully, recognising both the insights data can provide and the gaps, biases and uncertainties it may contain.
You tailor your studies through specialist pathways connected to the research strengths of the Bartlett Centre for Advanced Spatial Analysis. The four pathways are Big Data and AI, Smart Cities and Urban Policy, Urban Modelling and Simulation, and Data Visualisation, allowing you to shape the MSc around your interests and future direction.
The course culminates in an independent dissertation, where you develop an original research project that brings together analysis, visualisation and critical reflection. Partner dissertations are available each year, where students are set proposals from partner organisations. You then have the opportunity to refine these project ideas and develop your own research approach. Previous partner organisations have included Transport for London, Westminster City Council, Arup and UN agencies.
You graduate equipped with the technical, analytical and critical skills needed for careers across urban analytics, planning, policy, data science, research and the wider built environment sector.
Admission Requirements
4.5+
6.5+
75+
176+
A minimum of a lower second-class Bachelor’s degree in a relevant subject from a UK university or an overseas qualification of an equivalent standard.
25 Jun 2027
1 Year
Sep
Tuition fees
Domestic
14,200 GBP
International
40,200 GBP
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