About the profile

Since 2007, more than half of the world's population has been living in cities and urban regions. Due to the ongoing rapid urbanization affordable housing is becoming scarcer and transport systems and other public infrastructure are increasingly stretched to capacity. To aid spatial planners in developing sustainable solutions for these challenges, accurate and up-to-date geoinformation is pivotal. The MSc profile “Geoinformation and Spatial Development” aims at developing methods and efficient algorithms for managing, analyzing, and visualizing the growing amount of heterogenous geoinformation that is acquired in this context.

Your interests

Developing and implementing innovative computational and methodological solutions to problems of spatial data management, analysis, and visualization in the context of urban development.

Your background

solid foundations in mathematics
solid foundations in programming

Features of the profile

The methodology- and technology-oriented curriculum emphasizes spatial, mathematical, and algorithmic reasoning as well as software programming and the utilization of software for recent problems, e.g., in urban planning and mobility. The profile covers geoinformation systems, their foundations in computer science, spatial data mining, automated cartography and geovisualization, spatial analysis of real estate markets, and land valuation. Moreover, it addresses methods for the integration, conflation, and abstraction of spatial data, the analysis of trajectories and transport networks, agent-based models of land use, multi-criteria assessment and optimization methods for spatial decision support systems in urban planning, smart cities, spatial data infrastructures, spatial databases, as well as location-based services.

Outlook

If you choose this profile, you will collect expert knowledge and valuable experiences in project-oriented courses. The skills that you will obtain will prepare you for a successful career in academia, the software industry, planning offices, land-management administrations, engineering companies or mapping authorities. Cours es are taught by internationally renowned experts in geoinformation science, spatial planning, and automated cartography.