Social and Geographic Data Science MSc
Entry requirements
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.
Further information can be found on our English language requirements page.
Pre-Master's and Pre-sessional EnglishUCL 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.
Months of entry
September
Course content
With a growing demand for experts in social and geographic data science, this programme equips you with the academic and practical skills needed to excel as a data scientist. Study at the intersection of social sciences, machine learning, computing, and statistics, and collaborate with internationally renowned academics. Benefit from access to key intellectual resources, including the British Library and the Alan Turing Institute, and take advantage of the course’s unique interdisciplinary approach.
Fees and funding
Please see UCL website for full information about fees and costs for this programme.
Qualification, course duration and attendance options
- MSc
- part time24 months
- Campus-based learningis available for this qualification
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Phone
- +44 (0) 20 3370 1214