Spatial Data Science

  • Spatial Data Science

Ranking

Top 100 in the world for Geography and Top 250 for Geophysics (QS World University Rankings by Subject, 2023)

Apply Now Got a Question? Check your eligibility

Download Brochure

A comprehensive guide on UC as a world-class university, enrolment requirements and all undergraduate qualifications and subjects study options at UC.

Ranking

Top 100 in the world for Geography and Top 250 for Geophysics (QS World University Rankings by Subject, 2023)

Apply Now Got a Question? Check your eligibility

Download Brochure

This prospectus gives an overview of UC as a world-class university, student life, and available study options for international students.

Qualifications

Overview

Spatial Data Science is an emerging field that combines art and science to explore spatial geographical data through visual and computational technologies to understand why activities and events occur in certain environments or spaces.

You will gain knowledge in Geographic Information Science (GIS) including using digital cartography, remote sensing, geomapping, and other visual data interfaces to interpret and analyse insights from the data. This can be helpful in conducting search and rescue operations, predicting potential disaster outcomes, planning smart cities, and more.

Contact us

For study planning help, please contact Professor Peyman Zawar-Reza:

Email peyman.zawar-reza@canterbury.ac.nz

Postal address
Te Kaupeka Pūtaiao | Faculty of Science
Te Whare Wānanga o Waitaha | University of Canterbury
Private Bag 4800
Christchurch 8140
New Zealand

Browse related subjects to Spatial Data Science

Choose an area that you are interested in and learn how UC's extensive range of study options can let you study what you want to.

Geological-fault-line_DPT_block, Geology

Geology

Geology explores the earth building processes of our planet, so that we can best use natural resources, plan land developments and infrastructure, and monitor ...

Data Science

Data Science

Data Science is an emerging field that combines Computer Science, Mathematics, and Statistics with other disciplines. You will learn to understand and analyse ...