Urban Spatial Science Degree Apprenticeship MSc
Entry requirements
Candidates must have a sponsoring employer based in England who will employ them in a spatial data science or geographic information science role and is prepared to provide a work place mentor and enter into an employer agreement with UCL. Applicants who do not have this arrangement may be interested in applying for the Urban Spatial Science MSc instead.
A minimum of a lower second-class Bachelor’s degree in a relevant subject from a UK university or an overseas qualification of an equivalent standard.
The English language level for this course is: Level 1.
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
The Urban Spatial Science Degree Apprenticeship MSc equips students with a multidisciplinary, critical lens for analysing and shaping global urban resilience and sustainability. You’ll gain expertise in data analytics, machine learning (ML), remote sensing, and reproducible research - tools essential for understanding, monitoring and improving cities around the world.
Fees and funding
Please see UCL website for full information about fees and costs for this course.
Qualification, course duration and attendance options
- MSc
- flexible36 months
- Campus-based learningis available for this qualification
Course contact details
- Phone
- +44 (0) 20 3370 1214