Submission Deadline 06/23/2026
Fiscal Capacity $101,196,520
DOL-OPE Grant — Key Facts
Opportunity Number ED-GRANT-26-031
Agency DOL-OPE
Application Deadline 06/23/2026
Award Amount $101,196,520
Status Posted
Sector Default
Award Floor $1,500,000
Cost Sharing Not Required

Fiscal Parameters & Taxonomy

Authority DOL-OPE
Status Posted

Who Can Apply

Public and State controlled institutions of higher education Private institutions of higher education

Eligibility Intelligence

IHEs (as defined in section 101 of the Higher Education Act of 1965, as amended (HEA) (20 U.S.C. 1001)).See ANI for eligibility specifics.

Program Description

The Employment and Training Administration at the U.S. Department of Labor (Labor) is soliciting applications in support of the administration of the Centers of Excellence for Veteran Student Success Program (CEVSS) on behalf of the U.S. Department of Education (ED) and the Secretary of Education (Secretary). The purpose of the CEVSS Program is to encourage institutions of higher education (IHEs) to develop model programs to support veteran student success in postsecondary education by coordinating services to address the academic, financial, physical, and social needs of veteran students.

CFDA Programs

84.116 Fund for the Improvement of Postsecondary Education

Agency Contact

Ashley Hillary Ashley.Hillary@ed.gov

✉ Ashley.Hillary@ed.gov

📞 202-693-2606

Related Intelligence Guides

In-depth editorial guides covering this agency's programs, eligibility requirements, and application strategies.

GrantMetric Intelligence Systems — Independent federal grant intelligence platform. Not affiliated with Grants.gov, the U.S. Department of Health & Human Services, or any government agency. Grant data is sourced from the Grants.gov API for informational purposes only; always verify opportunity details directly with the funding agency before applying. Some links on this site are affiliate links — we may earn a commission at no additional cost to you. Full Disclaimer  ·  Last Reviewed: May 2026  ·  Data Methodology