MSc Spatio-temporal Analytics and Big Data Mining

A minimum of an upper second-class UK Bachelor's degree in a relevant discipline (such as engineering, mathematics, computer science, environmental science, human or physical geography, geology, forestry, oceanography, or physics) or an overseas qualification of an equivalent standard. Applicants with relevant professional experience are also considered.

For fees and funding options, please visit website to find out more

There are numerous sources of funding available for postgraduate students, both from external sources such as the Government and from the University.

Graduates from the programme have gone on to work with employers such as UBS Investment Bank, Panasonic, Datacup, and Wegaw, whilst others go on to research positions in world-leading academic institutions, such as the University of Cambridge and Universidad del Azuay ( Graduate Outcomes Survey 2017-22 ).

Compulsory modules

• Machine Learning for Data Science
• Spatial-Temporal Data Analysis and Data Mining (STDM)
• Research Project
• Geospatial Science
• Geospatial Programming
• Spatial Analysis and Geocomputation
• Web and Mobile GIS - Apps and Programming
• Spatial Databases and Data Management
• Sensors and Location
• Urban Simulation
• Mining Social and Geographic Datasets
• Cybercrime

Optional modules

• Web and Mobile GIS - Apps and Programming
• Spatial Databases and Data Management
• Sensors and Location
• Urban Simulation
• Mining Social and Geographic Datasets
• Cybercrime
• reasonable adjustments
• Student Support and Wellbeing Services
• UCL Student Support and Wellbeing Services
• AccessAble
• UCL Student Support and Wellbeing Services.