Use the Tab and Up, Down arrow keys to select menu items.
This course develops skills in geospatial data science and is designed to form understanding of fundamental algorithms and code libraries that are used to manipulate, analyse, and map spatial data, and to explore how they are implemented. Students will use the Python programming language. The course is largely lab and project based, with context and theoretical frameworks presented in lectures while labs guide hands-on development.
GISC101 (preferred) or GEOG205/DIGI205 or COSC121, orequivalent. Recommended preparation: This course requires regular programming for spatial data so background skills in these areas are highly desirable.
GISC412
This course requires regular programming for spatial data so background skills in these areas are highly desirable.
Students must attend one activity from each section.
For further information see School of Earth and Environment Head of Department
Domestic fee $998.00
International fee $5,188.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see School of Earth and Environment .