Exploring and analyzing public health data to advance health research and inform health policy requires specialized skills. To advance your career in this challenging field, we offer a variety of courses in the areas of epidemiology, data analysis and statistical analysis.
This new, one-of-a-kind certificate will fill a gap in the present training needs for those working in the field of epidemiology and statistical analysis, as well as researchers, policy makers, graduate students and faculty members working with data analysis pertaining to population health. The overall goal of the program is to provide you with strong foundational knowledge and data analysis skills to support your work within the health and social services sector.
Through this distance program you will gain familiarity with a broad array of techniques applicable to the analysis and interpretation of health data through on-line discussions, assignments and practical data analysis applications. Each course will combine theory with practice by introducing relevant analytical approaches, addressing their strengths and limitations, and providing you with the knowledge and evaluative tools to discern how best to apply them in practice. The online courses are structured in a way that helps you to develop an understanding of data requirements, data formats and the appropriate choice of analytic methodology.
This four-course, distance delivery, professional specialization certificate, offered in partnership by UVic’s Department of Geography and Population Data BC, will be a powerful way to shape your career in population health—apply today!
In partnership with Population Data BC, we also offer free online courses on specific topics in population health data analysis.
“I found Epidemiological Statistics (PHDA 02) useful to my work as a researcher associate at the Centre for Addictions Research of BC. I would recommend this course for anyone who is working in public health and uses epidemiological methods in their employment. The course covered a wide range of topics from calculating relative risk to meta-analysis. The instructor took the time to ensure all students were able to do the assignments and the course reading provided useful references.”
– Program participant