Social and Geographic Data Science MSc

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 course is: Level 4.

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

Pre-Master's and Pre-sessional English

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.

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.