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The MRes in Urban Spatial Science provides students with an interdisciplinary and analytical approach to examining, assessing, and enhancing urban resilience and sustainability worldwide using spatial data analysis. The program structure includes 45 credits of mandatory modules in Term 1, followed by 30 credits of CASA elective modules and 15 credits of additional optional modules in Term 2.
CASA's elective offerings focus on three key research areas: Smart Cities and Urban Policy, Modeling and Simulation, and Data Visualization. Foundational urban spatial science principles apply across all themes, while the electives allow for specialized study. This intentionally multidisciplinary program brings together faculty expertise spanning geography, urban planning, computer science, physics, and the arts and humanities.
Coursework examines the theoretical, social, and scientific frameworks of contemporary urban environments through geospatial and data-focused perspectives. Students develop hands-on experience with cutting-edge urban analytics techniques and data-informed decision-making approaches, including: mathematical modeling, statistical analysis, simulation techniques, programming, spatial analysis, and visualization methods. These technical skills are complemented by theoretical grounding in demographics, economics, urban form and function, network dynamics, governance, policy, planning, and the emerging field of urban science.