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University of Canterbury
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Master of Geospatial Data Science

This course is available

On-Campus

Level of Study

Master's Degree

Campus

Main Campus

Summary

Introduction

The Master of Geospatial Data Science (MGDS) equips current and future geospatial professionals with experience in GIS and location data analysis, for leadership roles in government, industry, and research.

This taught Master’s offers foundational knowledge for those from a diverse range of backgrounds to acquire the knowledge, skills, and industry networks to work effectively in a geospatial environment. It will also provide development opportunities for those already in the industry.

The programme intersects relevant disciplines such as Data Science, Computer Science, and Environmental Science with spatial analysis. You will gain skills in programming, research analysis, database management, using and applying geospatial technology, and communication.

Entry criteria

Entry requirements

You will need to have achieved at least a B Grade Point Average in 300-level courses in an area which is relevant to Geographic Data Science eg, computer science, environmental science, the digital humanities, or any other relevant subject. Those who have not previously taken GIS courses must complete 30 points of undergraduate GIS courses eg, GEOG205, GEOG208, GEOG323, or GISC422.

Students without a university degree can apply for entry with at least three years of previous relevant professional experience, which will need to be assessed and approved.

If English is your additional language, you are also required to meet UC's English language requirements.

How to apply

You can enrol online at myUC.

See Admission and enrolment for all information on enrolling at UC.

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