UCL (University College London)

UCL (University College London)

Spatial Data Science and Visualisation

The course teaches cutting-edge data analysis, mining, modelling and visualisation techniques for spatial systems.

Entry requirements

A minimum of an upper 2nd Class Honours degree in a relevant subject from a UK university or an overseas qualification of an equivalent standard. Applicants with a lower 2nd Class Honours degree may be considered on their individual merit.

Course modules

Core modules: data science for spatial systems; geographic information systems and science; introduction to programming; quantitative methods; group mini project (digital visualization).

Assessment methods

The programme is delivered through a combination of lectures, seminars, tutorials and practical based workshops and classes. The interlinked laboratory research-based mini project with data collection focuses on remote data mining rather than fieldwork in the traditional planning/geographical/architectural sense. Assessment is through group and individual projects and the dissertation.

Qualifications

Qualification Study mode Start month Fee Course duration
MRes Full-time GBP 8,755 per Year 1 (England) 1 years
MRes Full-time GBP 21,320 per Year 1 (International) 1 years
MRes Full-time GBP 8,755 per Year 1 (Northern Ireland) 1 years
MRes Full-time GBP 8,755 per Year 1 (Scotland) 1 years
MRes Full-time GBP 8,755 per Year 1 (Wales) 1 years
MRes Variable - 5 years

Campus details

Campus name Town Postcode Region Main campus Campus Partner

Get in touch

Remember to mention TARGETpostgrad when contacting universities.

Key information

Contact: 
Bartlett Graduate Faculty Clerk
Telephone number: 
020 3108 9018