Learning Outcomes

The Epidemiology Doctoral (PhD) program aims to provide students with the skills to apply epidemiologic methods to real-world population health problems. While the MS program provides a strong foundation in epidemiologic methods and their application, the PhD program focuses on developing independent researchers with advanced skills to contribute original knowledge and become leaders in shaping public health policy.

By the end of their training, all students should be able to:

Interpret and critically evaluate published epidemiologic studies.
Select the most appropriate study design to address specific epidemiologic research questions and understand the strengths and limitations of various study designs.
Identify suitable statistical analyses for epidemiologic research questions and datasets, describe the strengths and limitations of these analyses, and accurately interpret research findings considering all potential sources of random and systematic error.

In addition to these core skills, PhD students are expected to develop advanced competencies, including:

Completion of original, independent research that contributes new knowledge to epidemiology.
A deep understanding of complex epidemiologic study designs, such as advanced causal inference methods.
Ability to apply and correctly interpret advanced statistical techniques, such as multilevel modeling, machine learning, Bayesian analysis, and advanced spatial analysis.
Proficiency in scientific writing and presentation of scientific results, mentorship, teaching, and scientific leadership.

Learning Outcomes

By the end of their training, all students should be able to:

Interpret and critically evaluate published epidemiologic studies.
Select the most appropriate study design to address specific epidemiologic research questions and understand the strengths and limitations of various study designs.
Identify suitable statistical analyses for epidemiologic research questions and datasets, describe the strengths and limitations of these analyses, and accurately interpret research findings considering all potential sources of random and systematic error.

In addition to these core skills, PhD students are expected to develop advanced competencies, including:

Completion of original, independent research that contributes new knowledge to epidemiology.
A deep understanding of complex epidemiologic study designs, such as advanced causal inference methods.
Ability to apply and correctly interpret advanced statistical techniques, such as multilevel modeling, machine learning, Bayesian analysis, and advanced spatial analysis.
Proficiency in scientific writing and presentation of scientific results, mentorship, teaching, and scientific leadership.