Bachelor in Data Science (BS)

The University of Michigan in Ann Arbor, founded in 1817, is a leading public research university with a large and diverse student body of approximately 64,575 students and an expansive portfolio of more than 200 academic programs. Renowned for research excellence, interdisciplinary collaboration, and a strong commitment to public service, Michigan combines top-tier scholarship with extensive resources across arts, sciences, engineering, business, and health fields.

Academic life at Michigan features world-class faculty, cutting-edge laboratories, and broad opportunities for undergraduate and graduate research, entrepreneurship, and global study. The university emphasizes experiential learning through internships, clinical placements, and community partnerships, enabling students to apply classroom knowledge to real-world challenges. Interdisciplinary centers and initiatives encourage collaboration across departments and foster innovation.

Campus life in Ann Arbor is vibrant, with a rich mix of student organizations, cultural events, athletics, and civic engagement. International students benefit from dedicated support services, language resources, and career programming that connect graduates to global employers and advanced study options. For prospective students seeking a research-intensive environment with deep academic breadth and strong professional pathways, the University of Michigan offers a rigorous, resource-rich setting to pursue ambitious goals.

The Bachelor in Data Science at the University of Michigan is a 4-year degree for students who want to learn about data analysis and interpretation. This program is ideal for students who enjoy working with numbers and solving problems. It's a great way to develop skills in programming, statistics, and data visualization.

The curriculum includes subjects like computer programming, statistics, and machine learning. Students will develop skills in data analysis, modeling, and communication. They will also have the opportunity to work on hands-on projects, such as data visualization or predictive modeling.

Graduates of this program can pursue careers as Data Analysts, Business Intelligence Developers, or Quantitative Analysts. They may also work as Data Scientists, Machine Learning Engineers, or Statistical Consultants. These careers can be found in industries like finance, healthcare, or technology.