"The Epidemiological Statistics course includes a range of topics from calculating relative risk to meta-analysis. The instructor took the time to ensure all students were able to do the assignments and the course readings included useful references. I would recommend this course for anyone who is working in population and public health and uses epidemiological methods in their employment."
"I would recommend this program to anyone working in the public health field that is handling or interpreting data and looking to update or acquire new skills. The courses were of high quality, good value and appropriate for anyone at the introductory or intermediate level.
For a program that is delivered completely online, each course was organized and delivered very well. Most of the instructors were very quick with their replies to questions from students. All of the courses used practical examples to explain the material which I found really helpful for understanding how to apply the concepts in practice. Even though the courses required a bit more work and time commitment than I initially planned for, I felt each of them challenged me and taught me new concepts and skills that I can take away and use immediately in my work."
"I enjoyed the Health Evaluation course (PHDA 06). Although I am familiar with this subject area, I found the concepts were presented in an effective way. Over the 12 weeks, we put together a health evaluation proposal. Work from each weekly module contributed to this final project. I think this was an interesting way to learn about the practical aspects of Health Evaluation."
"Both the PHDA 03 and PHDA 04 courses have made me confident working in ArcGIS, and applying principles of GIS/mapping to population health data and working on spatial analyses. In particular, what has been most helpful about these courses is applying the background theory to surveillance and research questions and walking through the analysis from start to finish, including interpretation of results."
My thesis supervisor told me about the program. My thesis project involved the analysis of Alberta Health’s administrative data on influenza vaccination and I needed to have a working knowledge of the tools of administrative data.
The courses were quite intensive but they provide the analytic tools that were complementary to the course experience I gained in my graduate program. I gained evaluation, spatial analytic and advanced analytical skills for modelling health outcomes data. Health Services Program Monitoring and Evaluation, Longitudinal Analysis and Multi-Level Modeling of Population Health Data, and GIS and Population Health were the courses that provided the greatest benefits to me.
I have actually used the skills I gained in the administrative data course to analyze my thesis data. I am currently working on a research project in which I am trying to incorporate the advanced analytical skills I gained in the ‘ Longitudinal Analysis and Multi-Level Modeling of Population Health Data’ course to specify my models. In the near future, I plan to incorporate some elements of spatial analysis into my research work.
The strengths of this program include:
Excellent, experienced instructors for each of the courses. Use of fellow students as peers to give feedback on assignments was a particular strength of the PHDA06 course in Health Evaluation and Program Monitoring. Also, discussion forums that promoted exchange of information amongst students using real life examples.
I would recommend the program to working professionals, researchers, and graduate students.
My suggestions for individuals entering the PHDA program would be to prepare for a very intensive program and to avail yourself of the full range of excellent resources that are available for the program, including the reading materials, the discussion forum, the instructors, the program coordinators, the program lead and the IT online help desk. I found all of them essential to achieving a successful outcome.
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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