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MSc Geospatial Sciences

  • DeadlineStudy Details: 1 academic year 2 academic years

Masters Degree Description

Prepare for a career in geospatial sciences with this one-year MSc at UCL. You’ll gain a comprehensive understanding of acquiring, processing, and analysing spatial data, with the flexibility to tailor the course to your specific interests through a range of optional modules.

Entry Requirements

A minimum of an upper second-class UK Bachelor's degree in a relevant discipline (such as engineering, architecture, geography, urban planning, mathematics, surveying, marine and earth sciences, computer science) from a UK university or an overseas qualification of an equivalent standard. Normally only candidates with either a first or upper second-class degree will be accepted, although applicants with a lower second-class degree supported by extensive work experience will also be considered.

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Fees

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

Student Destinations

Graduates unlock multiple pathways due to their comprehensive and transferrable skill set, in-depth expertise in the subject matter, and broad contextual knowledge. Our graduates either prepare to pursue further studies at a PhD level or find work as a geospatial specialists and consultants across a wide range of sectors, industries, and organisations ( Graduate Outcomes Survey 2017-22 ).

Module Details

Compulsory modules

  • Geospatial Science
  • Geospatial Programming
  • Research Project
  • Engineering Data Analysis
  • Spatial Databases and Data Management
  • Spatial Analysis and Geocomputation
  • Engineering Surveying
  • Machine Learning for Data Science
  • Spatial-Temporal Data Analysis and Data Mining (STDM)
  • Applied Building Information Modelling
  • Reality Capture and Precision 3D Sensing
  • Sensors and Location

Optional modules

  • Engineering Data Analysis
  • Spatial Databases and Data Management
  • Spatial Analysis and Geocomputation
  • Engineering Surveying
  • Machine Learning for Data Science
  • Spatial-Temporal Data Analysis and Data Mining (STDM)
  • Applied Building Information Modelling
  • Reality Capture and Precision 3D Sensing
  • Sensors and Location

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