×

🚀 We're Here to Assist You

Master of Geospatial Data Science

Why Study / Key Benefits

The Master of Geospatial Data Science (MGDS) at University of Canterbury is designed to develop advanced skills for analysing, modelling, visualising and communicating geospatial data.

Key benefits include:

  • Combines geospatial data science with computer science, geography and data science.
  • Develops skills in spatial programming, spatial analysis, geovisualisation and geospatial technologies.
  • Covers the full geospatial workflow, from gathering location data using technologies such as drones, GPS and satellites through to communicating results through maps and visual models.
  • Includes a 60-point supervised geospatial research project.
  • Provides practical experience and opportunities to work with organisations that have geospatial knowledge needs.
  • UC identifies a current geospatial skills shortage in Aotearoa New Zealand, creating opportunities across government, industry and community organisations.
  • The programme can be undertaken part-time, making it possible to study alongside an existing career.


Programme Structure and Subjects / Topics

The MGDS is a 180-point taught master's qualification incorporating a substantial applied research project.

Core subjects include:

  • GISC426 Spatial Data Science and AI – 15 points
  • GISC402 Geospatial Data Science Research – 15 points
  • GISC403 Geovisual Analytics – 15 points
  • GISC404 Spatial Analysis – 15 points
  • Geospatial Data Science Project – 60 points

The elective component provides flexibility. The regulations allow:

  • Up to 45 points from GISC-coded courses.
  • Up to 30 points from approved non-GISC electives.

Examples of 2026 geospatial electives include:

  • GISC405 Environmental and Climate Data Analytics
  • GISC406 Remote Sensing for Earth Observation
  • GISC411 Spatial Analytics for Health, Society and Environment
  • GISC412 Advanced Methods in Geospatial Data Science
  • GISC415 Geospatial Data Science Internship
  • GISC417 Special Topic

Other approved electives include areas such as:

  • Data Wrangling for Data Science
  • Forest geospatial monitoring
  • Human Interface Technology
  • Information systems
  • Data management
  • Big Data
  • Data Mining


Disciplines / Specialisations

There are no formal majors, minors or endorsements within the MGDS.

Instead, students can shape their expertise through electives and the research project.

The programme is interdisciplinary and connects:

  • Geospatial Data Science
  • Geographic Information Science
  • Data Science
  • Computer Science
  • Geography
  • Environmental Science
  • Earth Sciences
  • Remote Sensing
  • Spatial Statistics
  • Health and social geography
  • Climate and environmental data


Programme Highlights

Important highlights of the programme include:

  • 180-point Level 9 master's qualification.
  • 1 year full-time study option.
  • February and July starts.
  • Strong combination of coursework and applied research.
  • 60-point industry-related research project.
  • Training in spatial data science, GIS, spatial analysis and geovisualisation.
  • Practical exposure to field data collection and geospatial technologies.
  • Elective flexibility across geospatial and related data disciplines.
  • Internship option within the approved elective offerings.
  • Potential pathway to PhD study.
  • Designed to prepare graduates for advanced geospatial roles.
  • UC describes a current geospatial skills shortage in New Zealand.


Career Outcomes

UC states that MGDS graduates develop the problem-solving skills and technical knowledge needed for advanced geospatial roles.

Potential career roles specifically identified by UC include:

  • GIS Analyst
  • GIS Planner
  • Local Government Analyst
  • Geospatial Technology Developer

Potential employment sectors include:

  • Private companies
  • Government organisations
  • Local government
  • Community organisations
  • Environmental organisations
  • Geospatial technology companies
  • Research organisations


Latest Updates / Special Requirements

The programme has undergone a qualification/name transition.

The current qualification is Master of Geospatial Data Science (MGDS), formerly the Master of Geospatial Science and Technology. The current formal regulations came into force on 1 January 2025.

The 2026 regulations are particularly important because they provide the formal course structure and admission requirements.

A notable requirement is prior GIS preparation. Applicants need the required undergraduate GIS background or GISC422/an approved equivalent. Students without the required preparation may need to complete additional approved study before admission.


International Student Visa Requirements

International students normally require a New Zealand Fee Paying Student Visa for this programme.

Immigration New Zealand currently states that the Fee Paying Student Visa:

  • Costs from NZD 850.
  • Can be granted for up to 4 years.
  • Has an advertised processing timeframe of 80% within 8 weeks.
  • Requires an offer of place from an approved education provider.
  • Requires evidence of tuition funding or a scholarship.
  • Requires evidence of sufficient living funds.
  • Requires acceptable medical and travel insurance.
  • Requires applicants to satisfy health, character and genuine-intention requirements.
  • Requires evidence that the student can leave New Zealand at the end of their stay.