Now is an exciting time to be a Biostatistician at the University of Michigan! Join the Department of Biostatistics for its in-person Prospective Student Day to learn more about the programs offered and meet its students, faculty and staff. We bring biostatistical design and analysis expertise to a wide spectrum of health-related research. Our faculty, students, and staff work in important and diverse areas of current biostatistical research; including image analysis, survival and event history analysis, statistical genetics, genomics and bioinformatics, clinical trials, Bayesian methods, statistical computing, longitudinal data analysis, methods for missing data, survey research, electronic health records, casual inference, machine learning, mobile health, and high dimensional inference. Our graduates have great job opportunities in academia, government, industry (e.g. biotech, pharmaceuticals), data science, informatics, and at medical research institutions.
Department of BiostatisticsBiostatistics Prospective Student Day
November 5, 2022
9:00 am - 3:00 pm
1680 SPH I (Paul B. Cornely Community Room)
1415 Washington Heights
Ann Arbor, MI 48109-2029
Sponsored by: Department of Biostatistics
Contact Information: Nicole Fenech, fenechn@umich.edu
More Information & Registration
Now is an exciting time to be a Biostatistician at the University of Michigan! Join the Department of Biostatistics for its in-person Prospective Student Day to learn more about the programs offered and meet its students, faculty and staff. We bring biostatistical design and analysis expertise to a wide spectrum of health-related research. Our faculty, students, and staff work in important and diverse areas of current biostatistical research; including image analysis, survival and event history analysis, statistical genetics, genomics and bioinformatics, clinical trials, Bayesian methods, statistical computing, longitudinal data analysis, methods for missing data, survey research, electronic health records, casual inference, machine learning, mobile health, and high dimensional inference. Our graduates have great job opportunities in academia, government, industry (e.g. biotech, pharmaceuticals), data science, informatics, and at medical research institutions.