Combining GIS, Machine Learning, and Data Science in a One-Year Post-grad Certificate

MRU's new Spatial Data program builds on its BSc in Data Science, to help graduates develop their data analysis skills.

Mount Royal University (MRU) is preparing to welcome its second cohort into the Post-Bachelor's Certificate in Spatial Data Science. This one-year, career-focused program is designed to equip graduates with in-demand skills in geospatial analysis, remote sensing, and machine learning. The certificate prepares students to turn location-based data into actionable insights, opening doors to careers in environmental management, urban planning, public health, business analytics, and IT.

Building on a strong academic foundation

Built on the strong foundation of MRU's Bachelor of Science in Data Science, the certificate brings together geography, computer science and data analytics in a highly applied learning environment. In its inaugural year, students gained hands-on experience with GIS mapping, drone and satellite data collection, predictive modeling, and 3D/4D spatial visualization — demonstrating the power of combining geospatial expertise with modern data science tools.

Fast-paced, hands-on learning

For students, the pace and depth of learning are defining features of the program. "Even though it's a one-year certificate, you learn an incredible amount in that time," said Jonah, a current student in the program. "You go from having little or very basic experience with tools like ArcGIS Pro to a much more advanced understanding by the end of the year."

"Students from a variety of disciplines have expressed strong interest in expanding their spatial science skills," said Dr. Lynn Moorman, PhD, professor in the Department of Earth and Environmental Sciences. After the success of its first cohort, the program continues to provide a one-year post-graduate path that allows students to build a robust geospatial skill set that meaningfully complements their undergraduate education.

Program structure and curriculum

Beginning in Fall 2026, the program will offer 24 seats and will feature in-person instruction supported by laboratory exercises, field trips, and seminars. Over the course of 10 classes (30 credits) completed in one year, students develop practical expertise in:

• Analyzing and visualizing spatial data to solve real-world problems in urban planning, environmental science, transportation and public health
• Applying machine learning techniques to remote sensing and geospatial datasets
• Developing interactive web GIS applications and automated workflows using Python, JavaScript, Jupyter Notebooks, ArcPy and APIs
• Working on applied projects with community and industry partners to gain hands-on experience in geospatial project management

A close-knit learning community

A strong sense of community is another hallmark of the program. "Our cohort is small and really close-knit — we help each other out a lot," Jonah said. "At the same time, we work closely with our instructors throughout the year. Out of the ten courses, we only have six instructors, so you really get to know the people teaching you and learn a lot from their experience."

Meeting industry needs

Pam MacQuarrie, associate professor of Earth and Environmental Sciences, says the program addresses a growing skills gap in the workforce. "Many employers have skilled computer scientists and programmers, but they lack expertise in geography, spatial analysis and location-based reasoning," she explained. "This certificate gives students a unique combination of skills that prepares them for both local and international opportunities."

Industry engagement is woven throughout the program, helping students better understand how their skills translate beyond the classroom. "Meeting with industry professionals has made me much more confident about finding a job after graduation," Jonah added. "We've seen firsthand how spatial data science applies almost anywhere you can see a map — from satellites and space agencies to banking, civil planning, ecology, conservation and web programming."

Career pathways

Demand for spatial data science continues to grow as organizations increasingly rely on IoT sensors, satellite and UAV data, and AR/VR technologies for modeling and decision-making. Graduates of the program are well-positioned for roles such as:

• GIS Analyst
• Spatial Data Scientist
• Remote Sensing Specialist
• Urban or Regional Planner
• Environmental Risk Assessor
• Location Intelligence Analyst
• Public Health Geographer
• Transportation Planner

A future-focused pathway

By combining geospatial expertise with data science, programming and AI, MRU's Spatial Data Science Certificate offers students a practical, immersive and future-focused path into a rapidly growing field.

Students interested in the Spatial Data Science Certificate can find more information on Mount Royal University's program website, including admission requirements and application timelines. Additional questions can be directed to the Admission and Recruitment Office.

Applications for Fall 2026 are now open.