UCL (University College London)
Spatio-Temporal Analytics and Big Data Mining
This course teaches the foundations of GIScience, database, spatial analysis, data mining and analytics to equip professionals with the tools and techniques to analyse, represent and model large and complex spatio-temporal datasets.
A minimum of an upper 2nd Class UK Honours 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.
GIS principles and technology; principles of spatial analysis; spatial databases and data management; spatio-temporal analysis and data mining; introductory programming (requires applied machine learning option); complex networks and web; representation, structures and algorithms; mapping science; supervised learning (requires applied machine learning); web mobile GIS; information retrieval and data mining (requires introductory programming); geographic information system design; applied machine learning (requires introductory programming, and supervised learning).
The programme is delivered through a combination of lectures, seminars, and laboratory practicals. Assessment is through examination, coursework, practicals, dissertation, and poster presentation.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||£ 11,090 per Academic year (home fees)||1 years|
|MSc||Full-time||£ 23,020 per Academic year (overseas fees)||1 years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|Bloomsbury Campus||Camden||WC1E 6BT||South East|
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