Illini Union

Community Health:

Master of Public Health

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Assess community needs. Develop innovative solutions. Implement impactful programs and policies. Focus on prevention. Build stronger, healthier communities.

Core Curriculum: Epidemiology

In the first year of the MPH Program, students take classes in the following areas of public health:

Core Curriculum

Code Course
CHLH 410 - Public Health Practice

Hours: 4

CHLH 469 - Environmental Health

Hours: 4

CHLH 550 - Health Policy

Hours: 4

CHLH 572 - Principles of Epidemiology in Public Health

Hours: 4

CHLH 573 - Biostatistics in Public Health

Hours: 4

Course Descriptions

CHLH 410: Public Health Practice

Theory and practice of public health promotion as they relate to educational approaches in solving community health problems.

CHLH 469: Environmental Health

Appreciation of the concepts used to prevent environmental conditions that may threaten health. Topics include air pollution, water supply management, waste management, radiation protection, food hygiene, occupational health and disaster management.

CHLH 550: Health Policy

Comprehensive analysis of the policy process in health care in the United States; systematic and critical review of health policy development, implementation, and evaluation; impact of government at all levels and the role of providers, industry, labor, and consumer in health policy.

CHLH 572: Principles of Epidemiology in Public Health

Application of epidemiologic methods to public health, including descriptive epidemiology, analytic study designs (case-control and cohort studies and randomized trials). Examples of applications focus on public health issues in chronic disease and infectious disease prevention and control.

CHLH 573: Biostatistics in Public Health

Application of statistical methods to epidemiology, clinical and diagnostic medicine, and laboratory biomedical experiments. Topics include descriptive statistics and graphics, reliability, sample size estimation, contingency table analysis, analysis of group differences, survival analysis, correlation and linear regression. Emphasizes use of computerized statistical software in biomedical data analysis.

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