General Information

The Spatial Data Science Post-Bachelor’s Certificate will provide a solid foundation in managing, understanding, analyzing, applying and visualizing data, including aspects of big data and machine learning. A special emphasis on spatial data science will introduce students to geospatial tools, data, and applications critical to location-based IT solutions. The program draws from disciplines of computing, data science, and geography, and offers hands-on learning opportunities to enhance classroom learning.  

This certificate is appropriate for university graduates wanting to build on their education and gain skills valued in environmental and business sectors; seeking work  in the environmental, IT or business sector; expanding computer science or geospatial skills; and for those who are a professional trained in another country, looking for a Canadian industry perspective and a valued credential. 

To meet the requirements of the Post-baccalaureate certificate, students in the program would be expected to take 10 courses over 2 terms from selected courses in geography and data science.

Admission Requirements

Bachelor’s degree. 

Note: One introductory course in each of linear algebra (e.g., MATH 1103) and computer programming (e.g., COMP 1701) are required. An introductory GIS course (e.g., GEOG 1105) is recommended but not required.