Geospatial Data Science

• These qualifications equip professionals with advanced geospatial data science skills for government, industry, and research.
• Gain skills in geospatial data methods, programming, geospatial technologies, and communication.
• A combination of lab, fieldwork, and internships are used to solidify geospatial data science skills.

• See all postgraduate courses in Geospatial Data Science

Certain courses are compulsory depending on the degree programme of study.

We recommend always starting with GISC401 Foundations of Geospatial Data Science which is offered in Semester 1 (February).

Within each programme there are options to pick electives from both GISC courses and non-GISC electives in related areas such as data science, statistics, and domain applications.

The Master of Geospatial Data Science also requires completing a Geospatial Data Science Project. GISC402 Geospatial Data Science Research should be taken later in the programme to lead into the culminating research project.

The Master of Science involves a thesis: GISC690 MSc Thesis. GISC402 Geospatial Data Science Research should be taken prior to starting the MSc programme.

Our programmes are designed to meet the surging demand for geospatial data analysts, developers, and data managers. We provide opportunities to engage with industry and government partners for professional internships.

Join the growth of the geospatial industry in Aotearoa New Zealand and globally by training to be an employment-ready graduate who can handle modern workflows for geospatial analysis on environmental, disaster, transportation, health, and other fields.