Bachelor of Science in Social Data Science at College Park (SDSC) - College of Information (INFO)

Bachelor of Science in Social Data Science at College Park (SDSC)

Logo of the UMD College of Behavioral & Social Sciences          UMD College of Information Logo

The undergraduate Bachelor of Science in Social Data Science (SDSC) at the University of Maryland provides students with expertise in the complex skills needed to create and work with information/data that captures aspects of human behavior.

Social data science encompasses all elements of the data life cycle, including measure conceptualization, data gathering, management, manipulation, analysis, presentation, archiving, and re-use. Further, effective and appropriate construction, analysis, and use of social data requires understanding social science theory and domain expertise. This program combines the expertise of BSOS and INFO faculty members to prepare students to effectively, ethically, and efficiently create high quality information products, such as datasets, visualizations, and models, about human activity and behavior.

The University of Maryland has extraordinary faculty, research, and education expertise in Social Data Science across all of the partner colleges as well as in research centers, including SoDa and START.

Interested in a BS in Social Data Science at College Park?

Explore!

Visit the BSOS program website to learn more about the SDSC program and curriculum.

Tuition & Costs

Apply Now

Change Major

Contact Us Bachelors Home

Recent News

SODA Symposium in black lettering and yellow background

(Video) SoDa Symposium Seed Grant Series: “Do County Demographics Shape Exposure to Cyber Harm?”

May 29, 2024 | Maia Johnston

Panelists discuss cybersecurity, cyber harm, federal funding programs, and more

SoDa Symposium over a yellow background.

(Video) SoDa Symposium Seed Grant Series: How Can Large Language Models Help Us Identify and Use Constructs That We Can Trust?

May 16, 2024 | Maia Johnston

Computational linguistics experts speak on a new approach to large language models

More News