PHDA testimonials

I learned about the PHDA program from the Director of the Social Dimensions of Health while I was taking the program at UVic. I was interested in the PHDA courses as a way to expand my skill set, enhance my knowledge of statistical software programs and gain practical skills to assist me with my PhD dissertation.

I enjoyed all the courses and the practical skills they provided especially with statistical software such as SAS, Mplus, and ArcGIS. I think I gained the most benefit from the PHDA 05 course and the PHDA 03 course. The PHDA 05 in Longitudinal Analysis and Multilevel modeling helped me gain skills in Mplus software and get an introduction to modeling. This work was very helpful in preparing me for a more advanced longitudinal modeling credit course I took at UVic last year. The PHDA 03 course in Population Health and GIS introduced me to a brand new subject area as well as practical skills in the use of ArcGIS.

I have been able to use the applied skills I learned in my role as a research assistant to help with grant applications. I will also be able to use these skills in the development of my dissertation. I plan to document the statistical software and analytic skills I have learned in all the PHDA courses on my CV. I know these skills will make me more marketable for future job opportunities.

The program has given me valuable skills and practice in a variety of statistical software. The PHDA program team including professors, IT and admin staff were all very helpful and a very supportive part of my program experience. I also enjoyed studying with fellow colleagues who had a broad range of work and research skills. The calibre of student in all my PHDA courses was very impressive and many were very willing to share their knowledge and analytic expertise. For this reason I really benefited from the partner and group work in many of the courses. Although the online format of the courses came with some weakness (as you don’t get to connect with people in person), I really appreciated how the asynchronous delivery provided flexibility to work and take courses at the same time. I also appreciated having transcripts of all the course video presentations for easy reference.

I have and do recommend this program to others. Some of my colleagues, whose work focuses more on qualitative rather than quantitative data, are a bit intimidated to consider the PHDA courses. For others who feel the same way I would certainly recommend Working with Administrative Data (PHDA 01) as a course that any research student would benefit from. I would also suggest that program applicants try to take PHDA 01 and PHDA 02 prior to PHDA 05. Although you can take courses in any order, I found the PHDA 05 course in Longitudinal Analysis and Multi-level modeling to be the most advanced level PHDA course I took.

I Iearned about the program through the UVic Continuing Studies website while I was an under grad at UVic. I later worked for the Provincial government. As a government employee I was eligible to get financial support for professional development training. The PHDA program was a good fit for the analytic skills I needed. I already had some experience working with Administrative data.

I found the courses I took, PHDA 01 Working with Administrative Data, PHDA 02 Epidemiological Statistics, PHDA 03 Population Health and GIS and PHDA 04 Spatial Epidemiology and Outbreak Detection, all followed in suite to cement my knowledge and skills in methods and research design. The first two courses, PHDA 01 and PHDA 02 were more of a review/refresher for me from my previous academic and work experience. The PHDA 01 course included learning SAS skills and creating your own study. The PHDA 02 course focused more on practical analytic work and less on statistical theory.  My favourite course was PHDA 04. It applied all the background/analytic skills I had learned within previous PHDA courses and taught me new geospatial skills.

My new skills would have proven useful in my previous role as a policy analyst for the provincial government, however I have switched positions. I intended on using my SAS skills and geospatial analysis tools to analyze the MSP data I had access to.

My new job is as a strategy analyst and the certificate has provided me knowledge about the potential use of administrative data to inform decision making. In completing this course, I have added another domain of knowledge which I can consider when developing strategic plans related to IM/IT.

One of the greatest strengths of the program is the access to the Secure Research Training Lab. It holds practical, well written, easy to follow lab activities in data analytics and a very useful de-identified BC Heath Dataset as well as other health related training datasets for applied learning. This provided an excellent learning environment for professional development training in data analytics.

Yes, I would definitely recommend this program to others.  For those just starting the program within the PHDA 01 course, I would recommend that they work carefully through the SAS components and try to keep their project work simple. It is also best to take one course at a time if you are working or taking full time studies.

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.