"The program’s strength emerged from how the courses were offered sequentially (eg: PHDA 03 and then PHDA 04) and 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."
"Strengths of the PHDA courses included hands-on application of concepts (through the labs), responsive and supportive instructors, and reading materials that helped with learning the concepts. For example, the final projects in PHDA 03 and PHDA 04 allowed us to develop a practical research question, clean and analyze the required datasets, produce maps and analyses, and interpret results, which would mirror a typical project in the workplace."
I saw a poster for the programme advertised on my campus, and found the course selection to be highly relevant to my doctoral studies.
The variety of courses provided learning opportunities for various software programmes, e.g., SAS and ArcGIS, while also teaching fundamentals of epidemiological statistics and other relevant bases for public health research. The use of geographical information systems in two courses was also of immense benefit.
The skills learned in this programme are highly and directly relevant to my doctoral research, and are being used on a near-daily basis. For example, I use both SAS and GIS to analyse various administrative datasets, and have found that the statistical background gleaned from this programmes has enabled me to read more critically and use more sophisticated analyses in my own work.
The diversity of courses is an immediate strength, as is the online format. Every instructor was highly engaged and enthusiastic, and was happy to have discussions about course material and further topics via e-mail.
I would (and already have) recommended the PHDA programme to colleagues and young researchers. However, I would emphasise setting aside time to do the readings and work carefully through code. Also take the opportunity to learn as much from the instructors as possible. The papers and lessons are useful references for the future as well. I wish I had kept them on paper!
No, but I want to thank the administrative staff for managing such an excellent programme. Also, I am very happy that they offer a graduate student rate! Many thanks!
"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 was looking for a professional development opportunity to brush up my data analysis skills and further develop them. I found about the program online through my own search. Reviewing the course offerings, I quickly thought the program would be a great fit for me.
All four courses I have taken offered different benefits. Epidemiological statistics was a great review with additional learnings. I appreciated gaining practical experience with tools I wasn’t previously familiar with – e.g. SAS and ArcGIS. Through Program Monitoring and Evaluation, I have gained a new skillset and understanding of evaluation that I can apply to my professional work.
As noted above, I have been able to apply tools I’ve learned from program evaluation to my current work, for our program evaluation. Although I haven’t directly applied other data analysis skills to my work yet, I hope to do so soon.
Great instructors with content expertise who are also very accessible for extra support, good class size with diverse classmates, and flexibility that the online learning offers.
Yes. If anyone is interested in one of the courses offered, I would encourage them to look into the certificate program as I think they would likely find other courses also interesting and valuable in strengthening population health data analysis skills. I would also emphasize that although online learning offers flexibility they would need to be able to set aside a chunk of time each week to successfully complete the course and make the most of it.
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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