Courses
The Post-Graduate Certificate (PGC) Program in Public Health will be offered in a cohort system, utilizing a fully in-person format consisting of four 4-semester unit courses taken over two semesters (9 months). The four 4-unit courses will be offered consecutively in the Fall and Spring semesters, and students will take two courses each semester.
| Course Number | Course Title | Units |
| HSCI 6260 | Health Education Program Planning and Evaluation | 4 |
| HSCI 6250 | Advanced Topics in Public Health Policy and Administration | 4 |
| HSCI 6220 | Advanced Topics in Epidemiology | 4 |
| HSCI 6210 | Advanced Biostatistics in Public Health | 4 |
HSCI 6260: Health Education Program Planning and Evaluation. Units: 4
Comprehensive analyses and application of theories and methods for planning, implementation, and evaluation of health promotion programs. Techniques for collecting and analyzing quantitative and qualitative data to establish evaluation plan is also covered.
HSCI 6250: Advanced Topics in Public Health Policy and Administration. Units: 4
The course emphasis the principles, practices, and skills essential to successful public health system with focus on the U.S. health care system, role of governmental agencies, and factors that shape public health system. The major focus of the course remains on the key aspects of policy development, critical analysis of policy development, with culminating product of a policy brief and/or white paper relevant to the professional field.
HSCI 6220: Advanced Topics in Epidemiology. Units: 4
Advanced application of epidemiologic procedures related to the understanding of the occurrence and control of diseases and other health problems. Emphasis is given to survey development, study design, data quality, validity and reliability of epidemiological data, service learning in form of epidemiological intervention, and journal club-style critical evaluation of literature.
HSCI 6210: Advanced Biostatistics in Public Health. Units: 4
Concepts and application of advanced statistical methods related to public health: logistics, regression, survival analysis, and big data using SPSS and other relevant public health software.
