Data Science and Agile Systems for Product Management

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.

Data Science and Agile Systems for Product Management is a non-degree program for students who want to deliver high-quality products using Agile, DevOps, and Data Science. It's offered in English and can be completed in a few weeks. The main advantage is learning to create fault-tolerant products.

The curriculum includes hands-on components to help students develop skills in data analysis, Agile methodologies, and product management. Students will learn to work with data and use it to inform product decisions.

Graduates can pursue careers as Product Owners, Data Analysts, Agile Coaches, or Product Managers in various industries, including tech and finance. They can work for companies like Amazon, Google, or Microsoft, helping to drive innovation and growth.