Social science statistics is a set of methods used to organize and analyze data for the purpose of either answering research questions or testing social science theories with data. Course provides practical, data-oriented introduction to the methods of modern statistical analysis with a focus on understanding and interpretation rather than the details of calculation. Students learn more about the role of data analysis in research informed social work practice as well as practice informed research. Students must have successfully completed Introductory Social Work Research Methods Course.

A one semester course, basic introduction to evaluation methods in the context of social work practice and social welfare. Students develop and conduct evaluations of practice, programs, and policies. Course provides skills required for practice and program evaluation. Students must have successfully completed Social Work Research one and two.

Prepares students for a supervisory role in human service agencies. Basic principles of administrative, supportive and educational supervision are reviewed and related to the student's own experiences in supervision or as a supervisor.

This two semester requirement provides advanced practice experience in a wide range of social work settings. Students spend 24 hours per week in an internship agency setting. Individual internship placements are arranged with each student by the internship coordinator. In order to receive course credit, students must satisfactorily complete both semesters(SW 982 and SW 983). A concurrent integrative seminar is also required. The goal of the weekly seminar is to assist students in conceptualizing and integrating the multiple theoretical issues and practice concepts of course work and the practicum. Students are expected to take major responsibility for the semester, using the instructor as a resource. Students must have successfully completed the first internship year and Internship Seminars 1 & 2.