Course Overview

The Data Science program at the University of Michigan is designed to equip students with the skills to analyze, manage, and interpret large datasets using advanced computational and statistical techniques. Offered through the School of Information and in collaboration with other departments, the program emphasizes interdisciplinary learning, combining elements of computer science, statistics, and domain-specific knowledge to address real-world challenges.

Unique features include a focus on ethical data use, hands-on projects with industry partners, and access to cutting-edge research opportunities. Students engage in practical applications through capstone projects, preparing them for the evolving demands of data-driven industries.

Career Prospects

Graduates of this program are well-positioned for roles in technology, finance, healthcare, and government sectors. The curriculum prepares students for high-demand positions by fostering skills in machine learning, data visualization, and predictive modeling.

Key Faculty and Staff

The program is supported by distinguished faculty from the School of Information and the Department of Statistics, many of whom are recognized leaders in data science research. Specific names and titles are available on the university's official program page for prospective students to explore.

Unique Facilities and Partnerships

Students benefit from access to state-of-the-art computing resources and data labs at the University of Michigan. The program also maintains strong partnerships with industry leaders, offering internship opportunities and collaborative research projects that enhance practical learning.