Spatio-temporal Analytics and Big Data Mining MSc

at University College London

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

Optional modules
 

•  Urban Simulation
•  Web and Mobile GIS - Apps and Programming
•  Spatial Databases and Data Management
•  Sensors and Location
•  Introduction to Complex Infrastructure Systems
•  Mining Social and Geographic Datasets

Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability is subject to change.

Students undertake modules to the value of 180 credits. Upon successful completion of 180 credits, you will be awarded an MSc in Spatio-temporal Analytics and Big Data Mining. Upon successful completion of 120 credits, you will be awarded a PG Dip in 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.

UK students
£16,500

International students
£32,100

Graduates from this programme are expected to find positions in consultancy, local government, public industry, and the information supply industry, as well as in continued research. Possible career paths could include: data scientist in the social media, finance, health, telecoms, retail or construction and planning industries; developer of spatial tools and specialised spatial software; researcher or entrepreneur.