Spatio-Temporal Analytics and Big Data Mining MSc

This dynamic MSc teaches the foundations of GIS, database, spatial analysis, data mining and analytics. Students will analyse, represent and model large and complex spatio-temporal datasets.

To find out core information about this degree, such as entry requirements, programme length and cost, visit the UCL prospectus site. 

Programme information 

The programme consists of three core modules (45 credits), five optional modules (75 credits) and a dissertation/report (60 credits).

A Postgraduate Diploma, consisting of three core modules (45 credits) and five optional modules (75 credits), studied full-time over nine months, is also offered.

Please note, all choices are subject to space on modules, timetabling constraints and the approval of the relevant module tutor, and the programme director.

Compulsory modules 

Term 1 

• Geospatial Science (CEGE0094)
• Spatial Analysis and Geocomputation (CEGE0097)

Term 2 

• Spatial-Temporal Data Analysis and Data Mining (STDM) (CEGE0042)

Optional modules

Choose five options from the following:

Term 1

• Geospatial Programming (CEGE0096)
• Spatial Databases and Data Management (CEGE0052)

Term 2

• Applied Machine Learning (COMP0081)
• Mining Social and Geographic Datasets (GEOG0051)
• Sensors and Location (CEGE0095)
• Urban Simulation (CASA0002)
• Web and Mobile GIS - Apps and Programming (CEGE0043)

Students may choose one elective module (any UCL Master's level module) in Term 2 as one of their optional choices, at the discretion of the programme director.

Dissertation/report

All students undertake an independent research project which culminates in a dissertation of 15,000 words.

Find out more and apply