UCL (University College London)

Course Introduction

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.

Course Modules

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).

Course Additional Entry

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.

Duration & Attendance Qualification Tuition fees
1 year
Full Time
MSc (Postgraduate) £23,020  Academic year. First year overseas fees
1 year
Full Time
MSc (Postgraduate) £11,090  Academic year. First year home fees
1 year
Full Time
PgDip