Social and Geographic Data Science MSc

About this degree

The programme provides a rigorous introduction to social and geographic data science. Optional modules provide the opportunity to develop expertise in advanced methods for a variety of application domains including data mining, cartography, remote sensing, urban studies and citizen science. There is also the possibility of taking modules in subjects related to data analysis and urban policies.

There is ever-growing national and international demand for qualified professionals and scientists who have expertise in social and geographic data science. UCL's Social and Geographic Data Science MSc provides rigorous scientific and vocational training for the next generation of data scientists, with a unique expertise at the interface of social sciences, machine learning, computing and statistics.

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.

The English language level for this programme is: Level 4

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Further information can be found on our English language requirements page.

There is a national and international need for scientists with skills in data science-based analysis and decision support complemented by a deep knowledge of domain-specific models and analytical methods. The MSc also provides an ideal foundation for PhD research, or for prospective employment within research organisations, consultancies, government departments and a wide range of industries.