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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.
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Critically competent in a core academic discipline of their award
Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.
Employable, innovative and enterprising
Students will develop key skills and attributes sought by employers that can be used in a range of applications.
Globally aware
Students will comprehend the influence of global conditions on their discipline and will be competent in engaging with global and multi-cultural contexts.
GISC401 or COSC121 or COSC480 or equivalent
GEOG324
Students must attend one activity from each section.
For further information see School of Earth and Environment Head of Department
Domestic fee $1,213.00
International Postgraduate fees
* 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 .