MA Social Data Science at Arizona State University

If you are interested in the social implications of big data and the ways that data science can provide insight into the understanding of social systems, the Master of Arts program in social data science is designed for you. You engage in research at the intersection of data and society, preparing to become a leader in the field.

Faculty: New College of Interdisciplinary Arts and Sciences  |  Department: School of Social and Behavioral Sciences  |  Duration: 30 credit hours  |  Study mode: full-time  |  Intake: Fall, Spring  |  Location: Tempe, AZ, United States

What you will study

30 credit hours - course-based master's, or 30 credit hours and a thesis OPTION WITH CULMINATING EXPERIENCE Required Core (18 credit hours) SDS 501 Theories of Data and Society (3) SDS 510 Data Wrangling (3) SDS 527 Ethics and Policies of Social Data (3) SDS 537 Technologies of Community (3) SDS 550 Computational Social Methods I (3) SDS 551 Computational Social Methods II (3) Electives (6 credit hours) Culminating Experience (6 credit hours) SDS 599 Thesis (6) COURSE-BASED OPTION Required Core (18 credit hours) SDS 501 Theories of Data and Society (3) SDS 510 Data Wrangling (3) SDS 527 Ethics and Policies of Social Data (3) SDS 537 Technologies of Community (3) SDS 550 Computational Social Methods I (3) SDS 551 Computational Social Methods II (3) Electives (12 credit hours) Additional Curriculum Information This master's degree offers a course-based option and a thesis-based option.

Career pathways

Graduates are prepared to advise institutions on appropriate policies and to draw on large-scale trace data to help address significant social issues. Career examples: chief information officer, communications director, community manager, data journalist, intelligence or policy analyst, program or project manager, public affairs specialist, research and data analyst.

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