Our MPH in Biostatistics program will equip you with the statistical knowledge and skills for biomedical research and public health.
The OHSU-PSU School of Public Health’s graduate programs in Biostatistics equips you with applied biostatistical skills to collect and analyze data in support of public health research, program assessment, and policy analysis, all in the context of public health foundational knowledge.
The program also prepares you to be proficient in statistical programming commonly used in public health research and practice, population-based study design, and epidemiological methods. The practice experience required by the program enables you to get involved in the community and to work on a project addressing public health challenges in an applied setting.
With a unique structure that combines the resources of two pioneering research universities, the OHSU-PSU School of Public Health (SPH) has helped Oregon gain national recognition for creative public health solutions. We are deeply engaged in collaborative research and have a strong commitment to interdisciplinary partnerships. You will enjoy rich opportunities to collaborate with clinical researchers, scientific investigators, educators, and public health professionals.
Our biostatistics faculty have a wide range of expertise and research interests such as Bayesian statistics, big and high dimensional data, electronic health records data, machine learning, statistical computing, statistical genetics, bioinformatics, observational studies, clinical trials, and community intervention trials, with extensive applications to biomedical and public health research.
The MPH in Biostatistics program suits students who are mainly interested in applied statistical methods. Graduates of our Biostatistics MPH program have a high rate of employment with health care systems, nonprofit organizations, government health agencies, research institutions, device companies, and other employers.
Choose one of our Biostatistics graduate programs if you seek:
- Broad application of Biostatistics to biomedical research, public health, bioinformatics, pharmaceuticals, and related subjects.
- Renowned faculty with diverse expertise, research interests, and collaborative experience.
- Personal attention from faculty and professional collaborators.
- Didactic sessions and hands-on experience focusing on both statistical.
- methods and the interpretation and communication of results.
- Internship opportunities from two Biostatistics shared resources: the Biostatistics & Design Program, one of the OHSU shared resource cores, and Knight Cancer Institute Biostatistics Shared Resources.
- Exceptional rates of job placement and graduate-school admissions.
- Opportunities to make an impact at the societal level.
Program Requirements & Guide
Please refer to the Program Guide for an overview of program requirements and a current program of study. To see all of the graduate program guides for an overview of degree requirements and current programs of study, visit the MPH and MS Requirements page.
MPH Program Requirements Guide
Recruitment & Admissions
Core Competencies & Contact Information
MPH in Biostatistics - Core Competencies
Students graduating from this track will be able to:
- Apply appropriate principles of research design and population-based concepts to assess health problems.
- Apply appropriate descriptive and inferential statistical methods to analyze risk determinants of disease and health conditions.
- Apply descriptive and inferential statistical methods that are appropriate to the different study designs used in public health research.
- Interpret and summarize results and communicate them to lay and professional audiences, in the contest of proper public health principles and concepts.
- Evaluate strengths and weaknesses of alternative research designs and analytic methods, and critically review and assess statistical analyses presented in public health literature.
- Apply basic ethical principles pertaining to the collection, maintenance, use, and dissemination of public health data.
- Identify cultural dimensions of conducting research, including culturally sensitive recruitment of study participants, and develop strategies for interpretation of data in the larger cultural context.
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