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Instructor teachingCSSS offers a diverse selection of courses in statistical methods for the social sciences at the graduate and undergraduate levels, with an average of 25 CSSS courses taught each year. These range from a first course in elementary statistics for undergraduates majoring in the social sciences to advanced graduate courses including Hierarchical Models, Event History Analysis, Social Network Analysis, Bayesian Statistics for the Social Sciences, Multivariate Analysis, and Causal Modeling. Many graduate courses provide students with opportunities to conduct their own research projects; frequently, these projects result in posters, conference presentations and publications.

To help graduate students in affiliated social science departments prepare for advanced courses in social statistics, CSSS offers an annual summer Math Camp, as well as preparatory courses in mathematics and computer programming during the year.

CSSS has partnered with PhD programs in the social sciences to formally recognize students who acquire substantial expertise in statistical methodology through CSSS courses. Currently eleven PhD programs at the UW offer this PhD specialization in social statistics, including Anthropology, Communication, Evans School of Public Policy & Governance, Geography, Jackson School of International Studies, Nursing, Political Science, Social Work, Sociology, Statistics, and Urban Design and Planning. In addition, an individualized concentration in social statistics allows students in unaffiliated departments to gain recognition for their CSSS training. Over 300 PhD students have completed CSSS Tracks since 2006.