2026 Virtual Prospective Student Information Sessions
Are you driven by curiosity, analytical thinking, and a desire to make a real impact on human health? At our Virtual Prospective Student Information Sessions, you’ll explore how a graduate degree in Biostatistics or Health Data Science from the University of Michigan can help you turn your academic strengths into meaningful public health solutions.
In addition to the primary in-person Prospective Student Day on Saturday, October 3, 2026, students who are interested in pursuing biostatistics graduate studies are invited to either of the two Virtual Prospective Student Information Sessions:
Session #1
Monday, October 12, 2026
Time: 8:00 a.m. - 9:30 a.m. ET
This session has been scheduled to accommodate international students in the Eastern Hemisphere so that they may more easily be able to attend, but all prospective students are welcome to register for this session.
Session #2
Tuesday, October 13, 2026
Time: 4:00 p.m. - 5:30 p.m. ET
This session has been scheduled to accommodate students located in the Western Hemisphere so that they may more easily be able to attend, but all prospective students are welcome to register for this session.
Biostatistics offers a path to deepen your impact and expand your career options, whether your background is in:
- Quantitative fields (mathematics, statistics, economics, etc.) - are you eager to apply theory to pressing health problems?
- Data-driven fields (computer and data science, informatics, engineering, etc.) are you excited to harness algorithms and machine learning for biomedical discovery?
- Scientific fields (biological, chemical, physical, social, etc.) - are you looking to strengthen your quantitative toolkit so you can design studies, interpret complex data, and contribute more powerfully to research that changes lives?
During the virtual sessions, you’ll hear how students with a wide range of majors have found their place in our collaborative, rigorous, and data-driven community. Through faculty-led sessions and student testimonials, you’ll learn how data fuels innovation in health research—and how you can train to be a part of it.
Whether you’re just beginning to consider graduate school or already preparing your application, this is your opportunity to imagine what’s possible at the intersection of data, discovery, and public good.
Please check back soon for a schedule for the two virtual sessions.