Spatial Data Science
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.
- Gain skills in spatial thinking and reasoning, analysis using computation tools, advanced programming and coding, and in using geographic data software.
- You will have access to computer and software labs, and conduct fieldwork at UC’s field stations in Cass and Kawatiri Westport, or climate stations in Kā Tiritiri-o-te-moana Southern Alps and throughout Te Waipounamu South Island.
- Benefit from our research centres that utilise spatial data sciences, with specialist centres including Toi Hangarau | Geospatial Research Institute, Te Pokapū Pūhanga Wāhi | Spatial Engineering Research Centre, and more.
Spatial Data Science major
Complete the compulsory courses for the Bachelor of Data Science, along with the following major courses:
100-level
- GISC101 Introduction to Spatial Data Science
- GEOG106 Global Environmental Change OR GEOG110 People, Places and Environments
200-level
- GEOG205 Introduction to Geographic Information Systems and Science
- GEOG208 Remote Sensing for Geospatial Analysis
- One 200-level GEOG course
300-level
There is a high demand for graduates with data science skills. Spatial Data Science is utilised throughout government organisations and industry sectors including finance, retail, construction, and the primary sector.
You can apply the knowledge and practical skills you gain through this major to social and health services, government, transportation, research, marketing, and many more areas.
Career pathways could include:
- space matter analyst
- smarter cities planner
- endangered species migration mapping
- search and rescue operations.
Find out more about what you can do with a degree in Data Science.
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
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