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  1. Programs
  2. Master of Science (M.S.) Major in Dementia and Aging Studies (Research Concentration)

Master of Science (M.S.) Major in Dementia and Aging Studies (Research Concentration)

Texas State University

Master's DegreeAcademic

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

No description available.

Credits

33 credits

Format

In-Person

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Program Pathways

Credentials this program stacks toward

No program pathways.

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Course Pathway

20 courses in this program

120 courses
SOWK 5328
3 credits
SOCI 5383
3 credits
SOCI 5363
3 credits
SOCI 5362
3 credits
SOCI 5361
3 credits
SOCI 5357
3 credits
SOCI 5356
3 credits
SOCI 5355
3 credits
SOCI 5354
3 credits
SOCI 5352
3 credits
SOCI 5351
3 credits
SOCI 5318
3 credits
SOCI 5309
3 credits
SOCI 5308
3 credits
SOCI 5307
3 credits
SOCI 3307
3 credits
PA 5311
3 credits
GEO 5301
3 credits
CDIS 5380
3 credits
ANTH 5305
3 credits
Program Requirements

Courses required to complete this program

SOCI 5351Introduction to Dementia Studies
3 cr
SOCI 5352Dementia and Caregiving
3 cr
SOCI 5355The Social Psychology of Dementia
3 cr
SOCI 5383Seminar on Aging
3 cr
SOCI 5354Theoretical Perspectives in Aging and Dementia
3 cr
SOCI 5307Advanced Statistics for the Social Sciences
3 cr
SOCI 5308Seminar in Quantitative Research Methods
3 cr
SOCI 5309Seminar in Qualitative Research Methods
3 cr
CDIS 5380Communication and Aging
3 cr
SOCI 5318Seminar in Advanced Data Applications
3 cr
SOCI 5356End of Life Care
3 cr
SOCI 5357Gender and Aging in Society
3 cr
SOCI 5361Aging and Dementia: Racial and Ethnic Minorities
3 cr
SOCI 5362Rural Aging and Dementia
3 cr
SOCI 5363Seminar in Medical Sociology
3 cr
SOWK 5328Interdisciplinary Perspectives on Aging
3 cr
SOCI 3307Statistics for the Behavioral Sciences
3 cr
ANTH 5305Anthropological Statistics
3 cr
GEO 5301Multivariate Quantitative Methods
3 cr
PA 5311Introduction to Statistical Analysis
3 cr
Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.

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Locations

Where this program is offered

  • Texas

    Texas

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 19-4061.00

Skills

Reading ComprehensionCritical ThinkingActive ListeningWritingSpeakingComplex Problem SolvingScienceJudgment and Decision Making

Knowledge

English LanguageComputers and ElectronicsAdministrativeMathematicsCustomer and Personal Service

Abilities

Oral ComprehensionWritten ComprehensionOral ExpressionWritten ExpressionInformation OrderingDeductive ReasoningNear VisionInductive ReasoningSpeech ClarityProblem Sensitivity

Tasks

  • Design and create special programs for tasks such as statistical analysis and data entry and cleanin
  • Provide assistance with the preparation of project-related reports, manuscripts, and presentations.
  • Prepare tables, graphs, fact sheets, and written reports summarizing research results.
  • Write grant proposals.

Technology

Graphics or photo imaging softwareDesktop publishing softwareComputer based training softwareObject or component oriented development softwareData base user interface and query software

Tools

Computer data input scannersComputer laser printersDesktop computersMulti-line telephone systemsPersonal computersPhotocopying equipmentTablet computersTranscription equipment

Work Values

IndependenceAchievementWorking ConditionsRelationshipsRecognitionSupport
Career Pathways

Occupations this program prepares you for

Auto-populated·from O*NET + BLS
Occupations matched to this program, with median wage, top wage, growth, and openings
SOCOccupationMethodWageGrowthOpenings
Match confidence: medium19-4061.00Social Science Research Assistantstitle_inference———
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: advanced (Level 4)(based on Master's Degree)

  • Organizational research strategy and methodology standards — define and champion across a division or institute, aligning social science projects with institutional priorities and funder requirements.
  • Enterprise-level data infrastructure and quality assurance systems — design and oversee, establishing policies that govern data collection, storage, and validation across multiple concurrent research programs.
  • Research program portfolios — lead from conception through dissemination, making high-stakes methodological and resource allocation decisions that shape the direction of the organization's scientific output.
  • Statistical and analytical innovation initiatives — spearhead by evaluating and integrating emerging technologies and methods into the research pipeline, positioning the organization at the cutting edge of quantitative social science.
  • Senior scientists, policy clients, and funding bodies — communicate and negotiate with at the executive level, translating complex research findings into strategic recommendations that influence policy or practice.
  • Research staff competency development programs — architect and implement organization-wide, incorporating learning strategies and performance benchmarks that build sustained institutional capacity.
  • Interdisciplinary research collaborations — initiate and govern across academic institutions, government agencies, and private sector partners, establishing data-sharing agreements and co-authorship frameworks.
  • Ethics, integrity, and scientific rigor standards — model and institutionalize across all research activities, reviewing protocols and publications to ensure compliance with professional and regulatory requirements.
  • Grant applications and large-scale funding proposals — lead the development of, authoring methodology and capacity sections that secure multi-year resources for the research enterprise.
  • Organizational knowledge management systems — design and steward, ensuring that institutional expertise in data analytics, database management, and research methods is documented, accessible, and continuously improved.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Auto-populated·from Scorecard + DOL
Completion Rate
75%
Placement Rate
28%