"I would highly recommend this program to anyone wishing to gain a strong foundation in GIS and data, even those individuals not directly involved in the population health field. All of the courses force the student to think critically, develop time management skills, become effective data organizers, and learn to work in a virtual team towards a common goal within very tight parameters. I found all staff related to the various components of the program very knowledgeable and considerate."
"I found a strength of the program to be the engagement of the other students, who are usually all from diverse backgrounds with varying levels of experience with the content. It was helpful to learn from each other. The workload was also quite manageable for those who are working full-time in addition to the courses. The teachers also all seemed knowledgeable and passionate about the topics, and were willing to help students answer their questions or provide assistance for the course projects."
My MSc supervisor recommended them based on the learning goals I had for my Master’s degree. UBC doesn’t offer anything like it, so we needed to look for partner institutions.
I completed the PHDA 03 Population Health and GIS and PHDA 04 Spatial Epidemiology and Outbreak Detection courses. By taking these courses, I developed an understanding of how to overlay multiple sources of data onto a geographic region (from city, to country, to continent). I developed an understanding of questions to consider in how I represent this information to the audience, so that bias in how it is represented is minimized. I developed an understanding of not only how descriptive statistics can be geographically interpreted, but also how inferential statistics can be geographically interpreted. It taught me how to begin thinking spatially in-terms of patterns of health outcomes – neighbourhood make up, neighbourhood location, infrastructure, environmental concerns, etc.
As part of my thesis.
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 SRTL and labs made the hands-on learning REALLY effective and stress free. The labs were applied, and had very tangible learning outcomes associated with them. They were practical in purpose, and effective in implementation via the SRTL. The labs were very smooth and impactful.
Yes. I would say that future students should explore the labs as much as possible. To really forefront the learning that you get out of that. The lecture material and prep material is abstract, but if you can focus most of your time on the labs, you can experiment and learn a lot.
"I would definitely recommend this program to my colleagues or others who would like to develop analytical skills and knowledge in data analysis and the use of health data.
I benefited by having an access to various analytic tools and different types/sources of health administrative data. They included a good balance of practice and theory. I did not find these kinds of courses were available to me when I was at University. In addition, I had very practical hands-on practice using statistical analytic tools such as SAS or ArcGIS which are not freely available for public use."
"The PHDA 03 Population and GIS course provided me with a skill set that I would have had difficulty learning on my own. I was able to apply training from this course and the Epidemiological Statistics course (PHDA 02) to some of my current work that is assessing how we can improve quality of life related follow-up for British Columbian cancer patients after they have received their treatment. We were interested in seeing how follow-up for British Columbian patients differs with different levels of access to resources based on their geographical location. The analysis would have been much more difficult without the skills that I had learned in these two courses."
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
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