PHDA testimonials

I got to know about the program through my former master’s thesis supervisor. My quest to broaden my knowledge in geographic information systems (GIS) and spatial epidemiology motivated me to enrol in the program.

I am really satisfied with the course especially the hands-on experience gained while using ArcMap to map diseases and assess spatial dependences. Skills developed include generating choropleth map, joining attribute tables to shapefile and perform geographically weighted regressions.  Courses which benefited me the most are PHDA 03-Population Health and Geographic Information System (GIS), PHDA 01-Working with Administration Data and PHDA-04-Spatial Epidemiology and Outbreak Detection.

I have not yet applied the acquired skills to my research, but the skills will be useful for my future research work.

The program’s strength emerged from how the courses were offered with typical examples such as offering PHDA 03 before PHDA 04 and also 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.

Yes. I recommend this program to students, especially those with no prior knowledge in spatial epidemiology and GIS and are keen on knowing more about these areas.

I have not regretted enrolling in this program, and have actually enhanced my skill set.

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 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.