The primary objective of the M.S. Program in Epidemiology and Biostatistics is to train students in the knowledge, application, and evaluation of core epidemiological, data analysis, modeling and biostatistical methods in public health and biomedicine. Data analysis and modeling (DAM) students who complete the program are trained in core biostatistical methods, design of experiments and public health surveys, statistical computing, biostatistical consulting, probability theory, and mathematical statistics. Students in DAM will focus on the implementation of advanced data analysis and modeling approaches to address important questions in public health. The Department of Epidemiology and Biostatistics embraces competency-based education as set forth by the Association of Schools and Programs of Public Health.
For the M.S. program, the following general competencies apply: - Demonstrate a command of core epidemiological and biostatistical approaches and techniques. - Critically review and assess the primary public health and biomedical literature. - Communicate effectively with stakeholders in public health and biomedical research. - Demonstrate ethical research practices as pertains to data collection, data management, analysis, and interpretation. - Demonstrate ability to use computational approaches in the analysis of public health data.
For the Area of Emphasis in Data Analysis and Modeling, the following additional competencies apply: - Demonstrate proficiency in writing computer code - Demonstrate ability to apply sophisticated analysis methods to public health data
Nichole Thomas, CPhT Graduate Program Administrator nthomas@uga.edu Jessica Knight, PhD Director of Graduate Studies jessica.knight@uga.edu