Discover what data can reveal about human health

That's where BIOSTATISTICS and HEALTH DATA SCIENCE 
turn complex data into health impact.

Hello Kyle,

Your academic coursework spans two sides of modern discovery: you understand the scientific questions researchers are trying to answer, and you have experience using data and computation to investigate them.

That combination is especially valuable in biostatistics and health data science -- fields that apply mathematical and statistical reasoning to biological, clinical, and public health questions, turning scientific observations into rigorous evidence about health and disease.



At Michigan Biostatistics, graduate study can prepare you to use computation and complex data to investigate meaningful biological, clinical, environmental, and public-health questions.

Your scientific knowledge helps you understand what the measurements represent and which questions matter. Your data skills help you work with information at a scale and complexity that modern health research increasingly demands.

Biostatisticians work across the entire research process. They help translate scientific questions into effective study designs, prepare and analyze complex data, build statistical and machine-learning models, and interpret results within their biological, clinical, or public health context.

That work might include:

Integrating genomic, clinical, imaging, and population-health data

Identifying genes associated with disease risk

Predicting patient outcomes using high-dimensional health data

Studying how environmental exposures affect health

Measuring differences in treatment response

Validating emerging biomedical technologies for scientific and clinical use

At the University of Michigan, you can pursue this work through three distinct graduate pathways:

• MS in Biostatistics, combining rigorous statistical training with applied health research
• MS in Health Data Science, with its strong computational and machine-learning focus
• PhD in Biostatistics, preparing students to develop new methods and lead original research.

If you want to move fluidly between scientific questions, complex data, and meaningful conclusions, biostatistics could be a natural next step.