Master of Science in Social Data Analytics and Research

Curriculum

The Master of Science in Social Data Analytics and Research builds on faculty expertise in criminology, economics, geospatial information sciences, political science, public and nonprofit management, public policy, political economy and sociology to equip individuals with multi-disciplinary skills in social data production, collection and analysis for which there is increasing career demand by government, nonprofit and private sector organizations, and by doctoral programs and other advanced research institutions.

Graduates in the program acquire proficiency in:

  • Social science research design and evaluation, including quantitative and qualitative approaches.
  • Quantitative and qualitative data discovery and analysis methods, including understanding and analyzing large data sets.
  • Harnessing capabilities to help government, nonprofit and private sector organizations as they address pressing societal issues on both local and global scales.
  • Interpreting core theories and philosophical dimensions of social science practice, and promoting ethical use of social science methodologies.
  • Justifying the importance of applied social science in helping to shape public policy and action.
  • Building successful career paths in diverse fields that rely upon social data analytics and research.

Program Information

School: School of Economic, Political and Policy Sciences

Program: Social Data Analytics and Research

Catalog page: MS

MS in Social Data Analytics and Research Fact Sheet

Application Requirements

Degree requirements: The MS in Social Data Analytics and Research invites applications from students with a baccalaureate degree from an accredited higher education institution.

GPA: In general, entering students should have earned a minimum 3.0 undergraduate GPA on a 4.0-point scale.

Test score required: Yes

A verbal score of 150 and a quantitative score of 150 on the GRE

Letters of recommendation: 3

Applicants must submit three letters of recommendation from individuals who can judge the candidate’s probability of success in graduate school. Use the electronic request form in the graduate application to submit the letters. Contact the graduate academic program department if you have any questions.

Admissions essay required: Yes

A one-page essay outlining the applicant's background, education, and professional objectives.

Deadlines: University deadlines apply.

Contact

Program Director

Graduate Program Administrator
[email protected]

Possible Careers

Graduates seek varied positions, including: data analyst/scientist, data mining specialist, database manager, statistician, program evaluation analyst, decision support analyst, research analyst, opinion polling statistician, community intelligence expert and information resource analyst.

Salary Information

See Bureau of Labor Statistics for detailed salary information on these careers. Another great resource is the Occupational Outlook Handbook.

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