"Great instructors with content expertise who are also very accessible for extra support, good class size with diverse classmates, and flexibility that online learning offers."
"Great instructors with content expertise who are also very accessible for extra support, good class size with diverse classmates, and flexibility that online learning offers."
"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 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."
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.
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