"I would recommend this program to others, especially those I work with. The courses are great for professional development if individuals want to acquire new skills or keep their current skills up to date."
"I would recommend this program to others, especially those I work with. The courses are great for professional development if individuals want to acquire new skills or keep their current skills up to date."
"The Population Health and GIS (PHDA 03) course was the most interesting course I took. The labs were easy to follow and I enjoyed the final project."
I was looking at programs that were more data-oriented because my data skills were not quite high enough to get a good data-centric job. So, while I was finishing my MA, I figure PHDA would serve me well. Plus, the tuition was much lower because I was a student!
I found the Working with Administrative Data (PHDA 01) was a good course. It was less intensive and slower paced than the other PHDA courses. I took this course last because of my time frame for completing four courses. It would probably have been better to take this course earlier on. The Population Health and GIS (PHDA 03) course was the most interesting course I took. The labs were easy to follow and I enjoyed the final project. When I first enrolled in the program, I thought that PHDA 01 and PHDA 03 would be the most valuable courses for my skill development but in the end it was the Health Evaluation and Program Monitoring (PHDA 06) course that really helped me land a job after graduation. PHDA 06 was different from the other PHDA courses. It felt a bit like a satellite course in the program as it included a health evaluation project rather than data analysis lab work. I learned a lot from the peer review process we used.
I just started working after graduation, but so far, I have applied evaluation skills that I learned from the Health Evaluation and Program Monitoring (PHDA 06), including logic models, evaluation methodology, gantt charts and interview guides. My current role, as an Evaluation Lead, will also include some data analysis, so the Working with Administrative Data (PHDA 01) and Epidemiological Statistics (PHDA 02) courses will be helpful for that too.
I think the BC-specific focus is the main strength. I came out understanding more about the data available to help with BC-specific health policy. Perhaps, this doesn’t help attracting students outside of BC, but is great for our province’s capacity for good health decision making.
I have recommended this program to others. However, I also warned them that it was a lot of work – especially Epidemiological Statistics (PHDA 02). I think my estimated hours per week for this course were at least 15. I also found the group work in PHDA 02 more time consuming than the other PHDA courses. The work in the Secure Research Training Lab (SRTL) can also increase the amount of time you need to spend on the courses depending on group work or your knowledge of the subject matter.
"The courses that provided me the greatest benefit included the Population Health and Geographic Information Systems (GIS), and Spatial Epidemiology and Outbreak Detection.
Using the GIS and SAS skills that I learned from the PHDA program, I was able to create a Normalized Difference Vegetation Index (NDVI) layer using GIS software, which showed peak greenness for the entire country over a ten-year period. Using this data and other administrative databases a team of researchers led by Dr. Dan Crouse and myself, conducted a research study that looked at how living by residential greenspace can impact longevity."
I was in Canada and the program seemed a perfect fit to my interests.
I thoroughly enjoyed the courses, although sometimes I had trouble keeping up. Having said that, I found the lecturers very sympathetic to my needs. It was great to develop more understanding of the analysis of administrative datasets and in particular learning how to use geocoded data.
I will use my skills to undertake some more specific analysis using linked data. In particular, I plan to undertake some mapping of hotspots where illicit drug use is most common. For my interests at this time I found longitudinal data analysis and geocoding the most helpful. This is because with increasing use of multiple drugs it is important to determine where outbreaks occur and be able to establish cohorts of people who use these substances and then follow over time determining predictors of change.
The flexibility of the modules was very good and I appreciated learning from other students when there was something I couldn’t solve. For example when I couldn’t run a particular program, I could easily get assistance with this. Having access to previous assignments on the same topics made things much easier as well.
Yes, I would recommend this program and regularly circulate information about the courses as updates come to me.
It was a really great experience and I learnt a great many new things so thank you!
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