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COPH Department: Epidemiology and Biostatistics
Concentration: Epidemiology (Code: PEY)
The MSPH program in Epidemiology is an academic degree, is geared toward students who want a solid foundation in research methods and who wish to become members of a public health epidemiologic research team. Related to health promotion, disease prevention and control, students acquire knowledge and skills in study design, data management, analysis and interpretation of study results. A thesis involving primary or secondary data analysis is required.
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Information on how to use Archivum is available on the Archivum Student Resources page. You may use the program of study links below as a reference. Note: You may choose a program of study that corresponds to the academic year of your admission or any year thereafter. Please see the guidelines below.
| Program of Study PDF by Year (for reference) | 2017/18 | 2016/17 | 2015/16 | 2014/15 | 2013/14 | 2012/13 | 2011/12 |
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2011 - 2016 Competencies
Track the Fulfillment of Your Competencies:
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Your COPH Competencies Database Record
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In addition to the overall Master of Science in Public Health degree competencies, Epidemiology MSPH graduates will be able to
Epidemiologic Principles and Methods
- Describe and discuss the history and theory of epidemiology;
- Identify, describe and discuss the public health problems in terms of magnitude, person, time and place;
- Assess, synthesize and critically evaluate epidemiologic scientific literature;
- Compare and contrast uses and limitations of experimental and observational study designs in epidemiology;
- Design a cross-sectional, cohort and case-control study to address a public health problem;
- Demonstrate proficiency in epidemiologic principles of infectious and chronic disease research;
- Critically evaluate risk factors and their relationships to health outcomes including the evaluation of bias and effect modification; and
- Demonstrate proficiency in basic and intermediate epidemiologic methods and principles.
Data Management and Statistical Analysis
- Demonstrate mastery of data management and processing and SAS programming skills; and
- Demonstrate proficiency in the analysis of continuous, categorical and time to event data and interpretation of results.
Practice of Epidemiology
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