SCWK 8838 Dismantling Organizational Bias

Elective This advanced skills course will build on the foundation of the first year diversity course. Drawing from research in social work, business, psychology, and other interdisciplinary fields of practice students will have an opportunity to increase their leadership skillsets. Anticipated outcomes will be to give MSW student's meaningful skillsets in facilitating difficult dialogue, identifying and managing conflict, analyzing and assessing team dynamics, and coaching diverse teams to success. Dismantling Organizational Bias is a course for first social workers interested in developing leadership skills with the goal of learning how to assess, analyze, and respond to institutional oppression in public service agencies, nonprofits, and for-profit settings. Both clinical and macro social work students are encouraged to participate.

Course overview

Department
Social Work
School
SSW
Credits
3
Level
Graduate
Offered
Every Spring

Catalog details

Prerequisites
SCWK7721

Catalog text is imported from the reviewed Boston College course snapshot. Confirm eligibility in EagleApps.

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
4.76 / 5 · Excellent
30 responses
Instructor rating
4.90 / 5 · Excellent
30 responses
Terms evaluated
3
Most recent: Spring 2024

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Spring 2024Samuel Bradley4.54.54.84.84.54.84.84.81–3 hrs/week4 of 4
Spring 2023Samuel Bradley4.84.94.74.74.84.74.84.81–3 hrs/week17 of 22
Spring 2022Samuel Bradley4.95.04.84.94.94.85.04.91–3 hrs/week9 of 16

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Samuel Bradley
    Spring 2024, Spring 2023, Spring 2022 · Official rating 4.90/5