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Social Sciences Graduate Courses (SSCI)

Social Sciences Graduate Courses (SSCI)

Note: These courses are intended for graduate students in the M.A. program.

Social Sciences 5001

Research Methods
Credit hours: 3.0
Contact hours per week: 3-0-0
Advanced investigation of qualitative and quantitative methods. Specific aspects to be emphasized include epistemological and ontological concerns, feminist approaches, reflexivity and ethics, and dissemination of results. Students will complete three components from areas such as the following: research design and ethical concerns (required for all students); ethnographic methods; qualitative interviews; survey methods; and participatory action research.
Prerequisite(s): Admission to a graduate program

Social Sciences 5003

Classical Social Theory
Credit hours: 3.0
Contact hours per week: 3-0-0
Introduction to perspectives in classical theories of the social world. An advanced exploration of the ways in which theories underpin methods of inquiry and knowledge development. Students will complete three components from areas such as the following: enlightenment thinking; classical feminist theory; structuralism/functionalism; historical materialism; and culture and history.
Prerequisite(s): Admission to a graduate program

Social Sciences 5005

Contemporary Social Theory
Credit hours: 3.0
Contact hours per week: 3-0-0
Introduction to perspectives in contemporary theories of the social world. Advanced exploration of the ways in which theories underpin methods of inquiry and knowledge development. Students will complete three components from areas such as the following: poststructuralism/postmodernism; contemporary feminist thought; critical theory; post-colonialism; and cultural studies.
Prerequisite(s): Admission to a graduate program

Social Sciences 5007

Professional Seminar
Credit hours: 3.0
Contact hours per week: 3-0-0
Various topics relating to the practical aspects of academic life. Topics may include, but would not necessarily be limited to, grantmanship, a curriculum vitae, professional ethics, professional associations, publication practices, and career options.
Prerequisite(s): Admission to a graduate program
Grading: Pass/Fail

Social Sciences 5130

Multivariate Statistics
Credit hours: 3.0
Contact hours per week: 3-3-0
Advanced quantitative data analysis using statistical programs like SPSS, as well as familiarity with a range of statistical procedures such as multiple regression, factor analysis, logistic regression, discriminant function analysis, MANOVA, cluster analysis, and multi-dimensional scaling.
Prerequisite(s): Admission to a graduate program