Social Data Science (SDSC) is an undergraduate major that teaches you how to design, analyze, and communicate data about human behavior—using data science methods alongside social science theory. You’ll learn to build ethical, privacy-aware datasets, models, and visualizations that can be used in real-world research and industry settings.
Social Data Science (SDSC) is a dynamic undergraduate major at the University of Maryland that merges data science methodologies with social science theories. This program equips students with the skills to design, analyze, and communicate data reflecting human behavior, emphasizing ethical practices and privacy awareness in data handling.
The SDSC curriculum is structured to provide a comprehensive education in both data science and social science. Students will engage in core coursework that transitions from programming and data management to analysis, visualization, and ethical decision-making.
As part of the degree requirements, students will complete an applied project or capstone experience that synthesizes technical skills with social science insights. These projects typically involve analyzing real or simulated datasets and effectively communicating findings through visual and written formats.
Students have the opportunity to select elective courses that complement their major, focusing on areas within social sciences such as policy, psychology, and sociology. These electives allow students to tailor their education to align with their career aspirations and deepen their expertise in specific topics.
While there are no specific GRE, GMAT, or GPA grading score requirements for this program, prospective students should review the university's application guidelines for general admission criteria.
Graduates of the Social Data Science program will be well-prepared for various roles that leverage data to understand human behavior and inform decision-making in multiple sectors, including technology, healthcare, policy analysis, and social research. The combination of technical data skills and social science knowledge opens diverse pathways for career advancement in an increasingly data-driven world.
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