Master in Data Science and Analytics (online) (MPDO)

The University of Maryland, College Park is a large, research-intensive public university that combines rigorous academics with abundant opportunities for internships and industry collaboration. Located near Washington, D.C., UMD offers diverse undergraduate and graduate programs across fields such as engineering, business, public policy, arts and sciences. The campus fosters innovation through interdisciplinary research centers and strong ties to government and private-sector partners.

UMD supports international students with comprehensive services that include orientation, academic advising, career counseling and language assistance. Students can engage in cutting-edge research alongside faculty, participate in student organizations and access a wide range of experiential learning options. The university’s emphasis on entrepreneurship, sustainability and technology provides practical pathways to professional development and real-world impact.

Proximity to the nation’s capital expands internship and networking possibilities, while active student life and numerous clubs help build community. UMD’s combination of academic excellence, research opportunities and strategic location makes it an attractive choice for students seeking a rigorous education with strong career prospects and global connections.

The Master in Data Science and Analytics is a 2-year online program for students with a Bachelor's degree. It's taught in English and offered by the University of Maryland, College Park.

The curriculum covers specific subjects like data analysis and interpretation, statistical modeling, and machine learning. Students develop skills in programming languages, data visualization, and database management. Hands-on components include working with real-world datasets and projects.

Graduates can pursue careers as Data Scientists, Business Analysts, Quantitative Analysts, Data Engineers, or Analytics Consultants. They can work in industries like finance, healthcare, or technology, and be employed by companies like Google, Amazon, or IBM.