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.
This Urban Spatial Science MRes programme at University College London (UCL) 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, 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.
- Geographic Information Systems and Science
- Quantitative Methods
- Urban Systems Theory
- Smart Cities: Context, Policy and Government
- Urban Simulation
- Remotely Sensing Cities and Environments
- Data Science for Spatial Systems
- Digital Visualisation: Group Mini Project
- Agent Based Modelling for Spatial Systems
- Urban Simulation
- 12 months
- 24 months
Start dates & application deadlines
- Apply before
- We recommend you apply as soon as possible. The programme may remain open if places are still available and will be closed as soon as it's full or by 30 June.
DisciplinesGeographical Information Systems (GIS) Urban Planning View 134 other Masters in Urban Planning in United Kingdom
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- 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.
International26500 GBP/yearTuition FeeBased on the tuition of 26500 GBP per year during 12 months.
National10870 GBP/yearTuition FeeBased on the tuition of 10870 GBP per year during 12 months.
Living costs for London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.