2025 Prospective Student Day

Prospective Student Day in Ann Arbor

Saturday, September 20, 2025

Time: 9:00 a.m. - 1:00 p.m. ET
Location: 1680 SPH I (Paul B. Cornely Community Room)

NOTE: A virtual option is not available for this particular event, but virtual events will be scheduled for throughout the Fall 2025 season. Stay tuned for more details.

RSVP TO ATTEND 2025 PROSPECTIVE STUDENT DAY

TRAVEL/ACCOMMODATIONS

A full schedule of events will be published in the near future. Please check back for more information.

Are you driven by curiosity, analytical thinking, and a desire to make a real impact on human health? At our Prospective Student Day, 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.

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 are looking to strengthen your quantitative toolkit so you can design studies, interpret complex data, and contribute more powerfully to research that changes lives?

At Prospective Student Day, you’ll hear how students with a wide range of majors have found their place in our collaborative, rigorous, and research-driven community. Through faculty-led sessions and student panels, you’ll learn how data fuels innovation in health research—and how you can be a part of it.

Lunch and conversation with current students and faculty will give you the chance to envision your own path and ask the questions that matter most to you. 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.