Data Science Postbaccalaureate Certificate

The University of Minnesota, established in 1851 with campuses in Minneapolis and St. Paul, is a major public research university known for academic breadth and research excellence. Home to roughly 50,000 students including around 6,000 international students, the university offers more than 500 programs across liberal arts, sciences, engineering, business, and health sciences. Its long history is matched by a strong commitment to interdisciplinary collaboration and real-world impact.

U of M provides extensive research facilities, professional schools and centers that support hands-on learning, internships and industry partnerships. Students access world-class libraries, laboratories and clinical training sites, while faculty are active in cutting-edge research across fields. The Twin Cities location offers connections to a diverse economy, numerous employers and cultural institutions that enrich learning and career development.

Campus life is vibrant with student organizations, athletics, arts and public service opportunities that support personal growth and leadership. International students find dedicated advising, language support and career services to help transition to study and work in the U.S. The university’s combination of rigorous academics, practical experience and strong employer links makes it an attractive choice for students aiming to develop both expertise and professional readiness.

The Data Science Postbaccalaureate Certificate is for students who have a bachelor's degree and want to learn about data science. This non-degree program is one year long and helps students develop skills in data analysis, machine learning, and data visualization. It's a great option for those who want to work in data science.

The curriculum includes subjects like programming, statistics, and data mining. Students will learn how to collect and analyze data, build models, and communicate results. They will also get hands-on experience with data science tools and software.

Graduates of this program can work as data scientists, data analysts, business intelligence developers, or quantitative analysts. They can find jobs in industries like technology, healthcare, or finance. Employers like tech companies, hospitals, or financial institutions often hire people with this type of training.