With growing demand for experts who can interpret spatial and social data, this course equips students with the analytical and technical skills to thrive in social and geographical data science. You’ll study at the intersection of computing, spatial statistics, machine learning, GeoAI and the social sciences, tackling challenges in domains such as urban planning, mobility, public health, and environmental management. You’ll work with leading researchers at UCL and benefit from links to institutions such as the Consumer Data Research Centre and the Alan Turing Institute. This course prepares you for data-driven careers in government, industry, research, and NGOs.
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.
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Graduates of the MSc Social and Geographic Data Science are well equipped for careers at the intersection of spatial analysis, social science, data science, and policy. The course develops highly sought-after skills in computational social science, geospatial data wrangling and analysis, spatial statistics, machine learning, urban analytics, GeoAI and social research methods—skills that are increasingly valued across academia, industry, government, and the third sector.
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