The Bartlett Centre for Advanced Spatial Analysis


Aims and Outcomes

MSc Urban Spatial Science - Aims and Outcomes

Programme Aims

  • Experience a broad range of theoretical perspectives on the demographics, economics, form, function, network interactions, governance, policy, planning and, crucially, science of cities across the World.
  • Equip students with qualitative, quantitative and spatial analytic skills for the interpretation of urban data leading to data-informed decisions and policies.
  • Explore emerging technological innovations, methodologies and theories in cities across the Globe to tackle fundamental governance and sustainability problems facing the urbanised World.
  • Empower students to critically engage with and reflect upon commonly used concepts, methods and buzzwords in urban analytics and governance, providing confidence in responding to technological transitions and a robust foundation for future employment. 
  • Combine the taught material, academic expertise and personal research interests to develop an independent and unique research project into a pertinent and applied urban-centric topic. 

Learning Outcomes 

Knowledge and understanding 

  • Identify key urban theories and discuss their relationship to contemporary challenges
  • Outline topical global urban problems alongside recent methodological approaches and establish the validity of spatial analysis in furthering understanding
  • Critically debate and assess urban research in relation to methodological advancement and policy outcomes
  • Build upon module content and wider academic and policy literature in formulating independent, reproducible and original urban related research

Skills, techniques, methods and practical applications of concepts and theories 

  • Identify geo-spatial data sources and critically assess their applicability for urban focused studies
  • Explain and implement relevant geo-spatial analytical and visualisation approaches in relation to relevant theory
  • Propose smart, data-informed and appropriate solutions for contemporary and future urban challenges 
  • Undertake spatial analysis and urban science research to produce outputs — including data visualisation — appropriate to the intended audience
  • Describe and evaluate competing urban data sources, methodologies, workflows and visualisations
  • Compose academically rigorous and robust reports with a flowing narrative, outlining debate, being interspersed with opinion, whilst highlighting research gaps
  • Draw on taught ‘best-practice’ in industry and academia to write reproducible code and analytical workflows to obtain, wrangle, and analyse data

Transferable skills 

  • Work in a team from diverse educational and international backgrounds in achieving a common goal
  • Evaluate and make decisions at all stages of the typical spatial data science workflow in creating meaningful and robust outputs
  • Effectively source, wrangle, and analyse data, and appropriately communicate the results based on the intended audience
  • Realistically solve problems based on the available data, resources, and expertise
  • Write balanced and concise reports that consider available evidence — and its limitations — in reaching recommendations
  • Lead and manage an independent research project, in turn demonstrating time management, critical evaluation, ethical consideration and appropriate statistical methodologies