Programs of Study
Programs of Study

Graduate education at the University of Michigan is a shared enterprise. Rackham Graduate School works together with faculty in the schools and colleges of the university to provide more than 180 graduate degree programs and to sustain a dynamic intellectual climate within which graduate students thrive.
Admissions
Admissions

Rackham Graduate School and individual graduate programs work as a team to manage the application review process. As an applicant, you will be interacting with both Rackham and your program office.
Funding
Funding

The University of Michigan provides many sources of financial assistance to help students meet educational and living expenses. Whether you are a prospective student, a current student, a master’s or doctoral student, we want to make sure you know about the funding available for your graduate education.
Navigating Your Degree
Navigating Your Degree

From your first registration through the final stages of the degree process, we’re here to help every step of the way.
Professional Development
Professional Development

Rackham offers opportunities, funding, and resources that prepare graduate students and postdoctoral fellows to access the wide range of careers available to them, and to pursue interdisciplinary learning and community building related to professional interests.
Student Experience
Student Experience

Resources to support the diverse backgrounds and experiences that compose our Rackham community.
About
About

Students are enrolled in Rackham degree programs (doctoral, master’s, dual degree, and certificate) taught and advised by faculty in graduate programs in nearly every school and college across the Ann Arbor campus. Rackham graduate programs are also located on the Dearborn and Flint campuses, where they are administered separately.

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Events
Algorithmic Awareness: An AI Workshop for Master’s Students

Algorithmic Awareness: An AI Workshop for Master’s Students

Do you wonder how AI impacts the integrity of your research data? Are you concerned about hidden biases within automated tools? This workshop introduces algorithmic awareness as a vital skill for modern scholars. We provide specific tools to help you identify factual errors and AI “hallucinations” in your output. Participants learn to value human perspectives over machine-generated summaries to ensure inclusive research practices. This session serves incoming graduate students looking to build an ethical foundation for their academic careers.

This workshop is designed for master’s students.