University College London (UCL) campus

Engineering

Spatio-temporal Analytics and Big Data Mining MSc at University College London (UCL)

University College London (UCL), United Kingdom

Programme overview

Gain advanced understanding of geographic information science, databases, spatial analysis, data mining, analytics and more, on this one-year MSc course.

Faculty: Faculty of Engineering Sciences  |  Duration: 1 calendar year; 2 calendar years  |  Study mode: full-time / part-time  |  Intake: September 2027  |  Location: London, England, United Kingdom

What you will study

The course structure for full-time students encompasses a total of 180 credits. Modules include: Machine Learning for Data Science; Spatial-Temporal Data Analysis and Data Mining (STDM); Research Project; Geospatial Science; Geospatial…

Career pathways

Graduates from the course have gone on to work as data analysts, statisticians and programmers, among other roles, with…

Official programme page

Application information

Entry requirements

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… English language requirement: UCL Level 1.

Domestic applicants: GBP 21,500 a year (2027/28) Source

International applicants: GBP 44,400 a year (2027/28) Source

Intake: September 2027

Duration: 1 calendar year; 2 calendar years

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