Trent University Master of Arts in Interdisciplinary Aging Studies
Trent University

Trent University

Master of Arts in Interdisciplinary Aging Studies

  • Oshawa, Canada
  • Peterborough, Canada

MA

English

On-Campus

Key Summary

    About: The Master of Arts in Interdisciplinary Aging Studies provides a comprehensive examination of aging from multiple perspectives. It integrates knowledge from various disciplines to address the complexities of aging, including policy, healthcare, and social aspects. This program emphasizes critical thinking and engages students in research and practical applications related to aging populations. The length of the course is typically two years for full-time students, offering a blend of coursework and research opportunities.
    Career Outcomes: Graduates can pursue various career paths, including roles in healthcare management, social services, public policy, and research. Opportunities may exist in governmental agencies, nonprofit organizations, and academic institutions, allowing professionals to shape aging-related policies and programs.

The M.A. in Interdisciplinary Aging Studies (AGNG) is a thesis-based M.A. program designed to foster an understanding of key conceptual and methodological foundations of interdisciplinary aging studies, executed from both research-based and applied (e.g., experiential learning) approaches. The M.A. in Interdisciplinary Aging Studies degree offers graduate students training in social science and humanities fields related to the study of aging, including social-cultural dimensions of aging; systems, services and policy; cultural/literary studies, performance, and creative arts; social justice, especially equity, diversity and inclusion; and professional fields requiring expertise in aging. The M.A. program emphasizes the importance of developing skills in critical analysis of contemporary aging issues and practical approaches to aging-related challenges across different contexts – ranging from individual experiences of aging to the societal complexities of aging populations.