StudyQA — Master: Geospatial Analysis — University College London

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Description Contents Requirements

The MSc in Geospatial Analysis at University College London offers students an in-depth understanding of spatial data analysis, geographic information systems (GIS), remote sensing, and cartography. This innovative programme is designed to equip graduates with the technical skills and theoretical knowledge necessary to address complex spatial problems across various sectors, including urban planning, environmental management, disaster response, and transportation. Through a comprehensive curriculum, students will explore advanced techniques in spatial data acquisition, processing, and visualization, while also gaining practical experience with industry-standard software and tools used in geospatial analysis. The programme emphasizes the development of critical thinking and problem-solving skills, enabling students to interpret spatial data effectively and make evidence-based decisions. Taught by leading researchers and practitioners in the field, the course integrates core concepts of spatial statistics, geostatistics, and environmental modelling, preparing graduates for careers in academia, government agencies, private industry, and non-profit organizations. With a strong focus on real-world applications, students will engage in hands-on projects, fieldwork, and research activities that foster innovative solutions to spatial challenges. The MSc in Geospatial Analysis also provides opportunities for collaboration with industry partners and participation in cutting-edge research initiatives. Graduates will leave the programme well-equipped to contribute to the rapidly evolving field of geospatial science, leveraging location intelligence to inform policy, optimize operations, and support sustainable development. This programme is ideal for individuals passionate about geography, technology, and data science, seeking to develop a robust skill set in geospatial techniques and analysis.

The programme combines a rigorous treatment of underlying theory for, and methods of implementing and exploiting, spatial analysis and decision support. Optional courses provide the opportunity to develop expertise in modelling and analysis in one or more areas of social and environmental science with social and policy dimensions.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research dissertation (60 credits).

A Postgraduate Diploma (120 credits, full-time nine months, part-time two years) is offered.

A Postgraduate Certificate (60 credits, full-time 12 weeks, part-time one year) is offered.

Core modules

GIS Principles and Technology
Mapping Science
Principles of Spatial Analysis
Representation, Structures and Algorithms

Optional modules

Airborne Data Acquisition
Climate Modelling
Geodemographics and Population Geography
GIS Design
Network and Locational Analysis
Spatial Decision Support Systems
Spatio-temporal Analysis and Data Mining
Surface Water Modelling
Terrestrial Carbon: Modelling and Monitoring
Web and Mobile GIS

Dissertation/report

All MSc students undertake an independent research project which culminates in a dissertation of approximately 12,000 words and a poster presentation.

Teaching and learning

The programme is delivered through a combination of lectures, seminars, tutorials and laboratory and computer-based practical classes. Assessment is through independent project work, practical-based and written coursework, and the dissertation.

Normally a minimum of an upper second-class Bachelor's degree in a relevant discipline from a UK university or an overseas qualification of an equivalent standard.