Course Curriculum

The Spatial Data Science Post-Bachelor’s Certificate curriculum at Mount Royal University provides a comprehensive foundation in data science, geospatial technology, and analytical methods to help students master spatial problem-solving in a data-driven world. Courses such as DATA 2402 Programming for Data Scientists and DATA 2721 Data Science I: Introduction to Databases introduce key programming and database management skills essential for handling large and complex datasets. DATA 3453 Data Visualization and DATA 3463 Foundations of Data Acquisition focus on translating raw data into meaningful visual insights and effective data collection techniques. The geography-based courses, including GEOG 2105 Digital Earth and GEOG 2553 Geographic Information Systems, teach students to analyze spatial patterns and relationships through modern GIS tools. GEOG 3555 Remote Sensing and GEOG 4105 Geospatial Web Programming expand practical expertise in interpreting satellite imagery and developing web-based spatial applications. Advanced coursework such as GEOG 4553 Advanced Spatial Analysis and GIS and GEOG 4554 Spatial Data Science Field Methods integrates analytical modeling and real-world field applications. Together, these courses prepare students to apply spatial data science techniques across industries such as urban planning, environmental management, and public health, where geospatial insight drives innovation and informed decision-making.