"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 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.
"PHDA 03 and 04 provided useful tools for me. I had always wanted to learn to use ArcGIS software to explore health data, and have both a geography and clinical background, so PHDA 03 and PHDA 04 were especially interesting."
"This course is a rich and nuanced exploration of the interplay of spatial associations between population health and exposure to multiple risk factors including pathogen/toxin load, socio-economic influences and ‘built environment’ indices. Well-paced and supported ‘labs’ move from mapping skills and associated ethics to the use of spatial statistics in assessing distribution in population health. Required readings are current and wide-ranging. The final project provides a wonderful opportunity to use acquired tools to explore in depth a personal research project of interest.
I highly recommend this course to all in population health – from analysts and city planners to physicians and veterinarians. The power of GIS to put “place” into the population health equation is a powerful tool. This course illuminates this exceptionally."
"I feel this is a very unique program that combines the use of data analytics, statistical software and focused learning objectives related to the field of health. I also appreciated the fact that it was a fully online program with well-organized lectures, readings and remotely accessed lab work in health data analytics.
Overall the program was very helpful to my knowledge and skill development in the field of healthcare analytics. The program exceeded my expectations particularly because of the remotely accessed data analytic lab work that was more challenging than I anticipated. This work was very practical and very much oriented to real life case examples. The calibre of students in my courses was also very high as most were working professionals who brought valuable experience and knowledge to the discussion forums and project work."
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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