Epidemiology and Genetics

Overview

The Division of Epidemiology & Genetics in USC’s Department of Population and Public Health Sciences works to understand the lifestyle, environmental, and genetic risk factors for human disease including cancer, cardiovascular disease, and liver disease, and to reduce health disparity. Many faculty members of the division are members of the USC Norris Comprehensive Cancer Center and the Los Angeles County Cancer Surveillance Program.

christopher haiman, scd

Christopher Haiman, ScD

Division Chief, Division of Epidemiology and Genetics

Division Chief

Christopher Haiman

Faculty Members of the Division of Epidemiology and Genetics

Education Programs

Master of Public Health

Master of Public Health

The USC Master of Public Health program is a product of the University of Southern California’s commitment to the health and well-being of its surrounding communities, as well as nationally and internationally.

Doctor of Philosophy in Epidemiology

Doctor of Philosophy in Epidemiology

The Doctor of Philosophy in Epidemiology program is designed to produce an epidemiologist with in depth knowledge of methodology and analytic skills. The program provides preparation in methodologic and applied epidemiology, emphasizing use of advanced design and analytic techniques to problems of etiology, human biology, public health and evidence-based medicine.

Master of Public Health (online)

The Master of Public Health (MPH) Online program at USC offers a rigorous curriculum that attracts dedicated and ambitious professionals with a passion to serve in the public health arena. The program’s core coursework aims to develop your key public health competencies and skills through the use of cases and examples from industry — ranging from local to global.

Master of Science in Molecular Epidemiology

Master of Science in Molecular Epidemiology

This program focuses on understanding and applying statistical methods for the design of biomedical research, understanding epidemiological study designs, and using and interpreting results from specialized computer software for the management and statistical analysis of research data.

Centers, Institutes, Labs

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