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Geospatial Science and Data Analytics● OpenMastersPreview

Master of Geospatial Data Science

Develop advanced analytical skills to interpret and apply spatial data across diverse professional sectors.

Best for:Best for professionals and graduates from diverse backgrounds seeking to specialize in spatial data analytics.

University of Canterbury · Canterbury, New Zealand
More professors at University of Canterbury
Geospatial Data AnalysisSpatial GeographyData ScienceEnvironmental GeographyHealth Geography
This is a masters position — not a PhD studentship.
Deadline
—
Funding
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1 year
Start date
2027-02-01
Location
Canterbury
New Zealand

Overview

The Master of Geospatial Data Science (MGDS) at the University of Canterbury is a one-year postgraduate programme designed to build expertise in spatial data analysis. Students explore the complex relationships between spatial information and various fields, including health, social sciences, and environmental geography. The curriculum is structured to provide both technical proficiency and valuable industry networking opportunities. It is suitable for individuals from diverse academic backgrounds looking to enter the geospatial sector or professionals seeking to advance their existing careers.

GeospatialData ScienceSpatial AnalysisPostgraduate StudyGeographic Information SystemsData Analytics

What you'll do

  • Engage in advanced coursework focused on geospatial data processing and interpretation.
  • Develop technical skills to analyze spatial relationships within complex datasets.
  • Apply analytical methodologies to real-world problems in health, social, or environmental contexts.
  • Build professional networks within the geospatial industry.
  • Participate in academic development activities to enhance data science competencies.

Requirements

Degree required: Bachelor's degree or equivalent

Degree offered: Master's Degree

Instruction: English

Required skills
  • Foundational analytical capabilities
  • Interest in spatial data and its applications
  • Ability to engage with interdisciplinary subject matter
Nice to have
Prior experience in a geospatial or data-related industryBackground in geography, computer science, or related quantitative fields

Funding & terms

Type
Unknown
Amount
—
Duration
1 year
Programme
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Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
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Teaching language
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Taught / research mode
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Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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Funding
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How to apply

Interested applicants should visit the official university course page to review admission requirements and submission procedures. Applications are processed through the university's central admissions portal.

Documents required
  • Academic transcripts
  • Proof of identity
  • English language proficiency documentation
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Contact

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Check admissions, intake and funding with the official source; a listing does not mean applications are open.