The Ph.D. in Public Health emphasizes the expertise necessary for a research career in either epidemiology or social behavioral health.The Ph.D. in Public Health emphasizes the expertise necessary for a research career in either epidemiology or social behavioral health. The Ph.D. is designed to prepare students for careers in which advanced analytical and conceptual capabilities are required, such as university teaching, research, consulting, policy development or other high-level positions. As a Tier One research institution, the University of Nevada, Reno encourages its Ph.D. candidates to participate in research projects that generate new public health knowledge and to apply their research to public health practice or health policy.<br><br>Faculty and students of the School of Public Health conduct state-of-the-art research in a wide range of areas related to public health. Research in the school is supported by grants and contracts from numerous federal, state, local, and private sources, including the National Institutes of Health (NIH), National Science Foundation (NSF), Occupational Safety and Health (NIOSH), the National Institute of Environmental Health Sciences (NIEHS) and the Centers for Disease Control and Prevention (CDC).<br><br>Graduates will be able to:<br>Critically evaluate and synthesize scientific literature.<br>Develop original research hypotheses and research questions that will advance public health knowledge.<br>Evaluate, justify, and apply appropriate methodological and analytical approaches to address public health research questions.<br>Apply ethical principles pertaining to the collection, maintenance, use, and dissemination of public health data.<br>Effectively defend research methodology and findings through concise scientific writing and oral presentations.<br>Manage and analyze data using classic and modern approaches appropriate for various study designs using software packages such as SAS, R, STATA, SPlus, and WinBUGS.<br>Interpret results from statistical analyses of epidemiologic studies.<br>Defend analytical models and the results from statistical inferences to diverse audiences through written and oral presentations.