"I would recommend the program to working professionals, researchers, and graduate students.
The program had many strengths including: excellent, experienced instructors for each of the courses; use of fellow students as peers to give feedback on assignments (this was a particular strength of the PHDA06 course in Health Evaluation and Program Monitoring); and discussion forums that promoted exchange of information amongst students using real life examples".
"I took the PHDA 03 course to update my data analysis and GIS skills so that I could apply them to my current position as senior policy analyst in environmental health. I have a number of years of policy analysis experience, which I felt would be complemented by focused studies on the application of data analysis and GIS to population and public health policy questions. The course provided a comprehensive overview of how GIS can be used to investigate various population and public health questions including: mapping administrative data; use of spatial targeting, tailoring and generating to inform health policy development; estimating access to health care services; chronic and communicable disease surveillance; and environmental health and exposure assessment. The flexibility of distance learning meant that it was possible to complete work at my own pace and schedule. It was also helpful to learn from students in different locations, who worked in related fields but had different strengths, skills and perspectives.
I would highly recommend this course and the PHDA program to my colleagues. It’s a well-structured and organized program and provides a good theoretical and practical approach to population health data analysis."
"I found PHDA 03 (Population Health and Geographic Information Systems) very interesting as it provided applicable GIS uses for health services research. I plan on increasingly incorporating GIS analyses in my health services research in order to understand another dimension of care accessibility during the end-of-life phase. "
I got to know about the program through my former master’s thesis supervisor. My quest to broaden my knowledge in geographic information systems (GIS) and spatial epidemiology motivated me to enrol in the program.
I am really satisfied with the course especially the hands-on experience gained while using ArcMap to map diseases and assess spatial dependences. Skills developed include generating choropleth map, joining attribute tables to shapefile and perform geographically weighted regressions. Courses which benefited me the most are PHDA 03-Population Health and Geographic Information System (GIS), PHDA 01-Working with Administration Data and PHDA-04-Spatial Epidemiology and Outbreak Detection.
I have not yet applied the acquired skills to my research, but the skills will be useful for my future research work.
The program’s strength emerged from how the courses were offered with typical examples such as offering PHDA 03 before PHDA 04 and also the incorporation of Lab work into the course curriculum which provided the opportunity for more practical knowledge to be gained. Another strength is the friendly learning environment and willingness of the instructors to go an extra mile to assist students to understand concepts and course materials.
Yes. I recommend this program to students, especially those with no prior knowledge in spatial epidemiology and GIS and are keen on knowing more about these areas.
I have not regretted enrolling in this program, and have actually enhanced my skill set.
"The labs and the access to the SRTL were the biggest strengths of these courses. The SRTL had all the software, and all the data, and was really easy to access, and was well maintained and organized. The labs were applied, and had very tangible learning outcomes associated with them. They were practical in purpose, and effective in implementation via the SRLT. The labs were very smooth and impactful."
University of British Columbia, 201-2206 East Mall, Vancouver BC V6T 1Z3
Health Data Research Network Canada (HDRN) member
International Population Data Linkage Network (IPDLN) member
Follow us on Bluesky and check out our YouTube Channel. 
Copyright 2026 | All rights reserved