School of Information

About the school

The University of Michigan School of Information (UMSI) is a pioneering institution dedicated to leveraging technology for the betterment of human-computer interactions. With a diverse range of educational programmes, including the Master of Science in Information (MSI), Master of Health Informatics (MHI), and online Master of Applied Data Science (MADS), UMSI promotes interdisciplinary learning. Its faculty, hailing from diverse fields such as computer science, law, social networking, and public health, exemplify the school's commitment to diversity in expertise. This diversity extends to the student body, encompassing over 100 academic majors, creating an intellectually dynamic environment that aligns with UMSI's mission of addressing information-related challenges and contributing to a brighter future.

Location of the school

The University of Michigan School of Information is situated in Ann Arbor, Michigan, at 105 S State St., Ann Arbor, MI 48109-1285, United States.

Life at School of Information

Life at the School of Information is an embodiment of innovation, ethics, and the convergence of people, information, and technology. Here, students have the privilege of immersing themselves in cutting-edge research and exploration of diverse realms, from computer science to law and social networking. The school's unwavering commitment to holistic development and its overarching mission of building a better world through technology and information is palpable in its vibrant scholarly community. It's a community where intellectual boundaries are pushed, and where students are nurtured to become thought leaders who drive positive change in an increasingly technology-dependent world.

Additional benefits of studying at School of Information

Studying at the School of Information opens doors to a world of opportunities. With access to a faculty renowned for their expertise, students receive a top-tier education that not only equips them with the knowledge and skills needed for impactful careers but also encourages them to push the boundaries of conventional wisdom. The interdisciplinary nature of the programs allows students to broaden their horizons, fostering collaboration across various fields.

Moreover, the school's steadfast commitment to public access to information, diversity, equity, and inclusion creates a welcoming and inclusive learning environment where every voice is heard and valued. As the School of Information continues to expand its horizons, plans for a new, state-of-the-art facility on the horizon promise to further enhance the learning experience. This commitment to excellence ensures that students remain at the forefront of the information revolution, poised to make a meaningful difference in a rapidly evolving digital landscape.

Admissions criteria

Admission requirements at the School of information are as follows:

• A bachelor's degree from a college or university

• A preferred GPA of at least 3.0 on a 4.0 scale

-One scanned or electronic transcript for all undergraduate and graduate programmes studied

• Letters of Recommendation

• Personal Statement

-A current resume should be uploaded with the online application

Additional admission requirements for International Students are as follows:

-Official score reports for the Test of English as a Foreign Language (TOEFL) or the International English Language Testing System (IELTS)

Job placements

Graduates of the University of Michigan School of Information's master's programmes (MSI, MHI, and MADS) embark on diverse and innovative career journeys, spanning various sectors such as tech startups, healthcare organisations, nonprofits, libraries, and Fortune 100 companies. These opportunities encompass roles ranging from entry-level to senior management positions.

Notably, the Information Science sector is witnessing significant growth in hiring, according to the National Association for Colleges & Employers (NACE) 2022 Job Outlook Report. UMSI master's students are highly sought after for their expertise in artificial intelligence, data analysis, mobile app development, and user experience design.