Core Curriculum


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

Course Number

Course Title

Credit Hours

CHLH 410

Public Health Practice


CHLH 469

Environmental Health


CHLH 540

Health Behavior Theory


CHLH 550

Health Policy


CHLH 572

Principles of Epidemiology in Public Health


CHLH 573

Biostatistics in Public Health



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 540: Health Behavior Theory

Analysis of social science theories and perspectives that comprise the foundation of health education theory and practice. Includes development of a conceptual frame of reference for understanding, predicting, and facilitating change in health behaviors.

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.