Tender Details

Country: USA
Summary: Digital Marketing Agency
UST Ref No: 131009522
Deadline: 07 Jan 2026
Financier: Self Financed
Purchaser Ownership: Government
Tender Value: Refer Document
Notice Type: Tender
Document Ref. No.: 721-26022
Purchaser's Detail:
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Description:
Project DescriptionThe University of Texas at Austin (“UT Austin” or “University”) seeks responses from qualified digital marketing agencies to support lead generation for its Computer and Data Science Online (CDSO) programs. The Department of Computer Science (UTCS) at The University of Texas at Austin is consistently ranked among the top ten programs in the nation by U.S. News & World Report. With more than 6,500 students enrolled across all programs, UTCS is one of the largest and most influential hubs for computer science research and education worldwide. The Department maintains strong ties to Austin-s thriving technology sector and leads innovation in areas including artificial intelligence, robotics, quantum computing, and cybersecurity.To expand access to its world-class faculty and curriculum, UTCS launched its first fully online graduate degree in Computer Science (MSCS) in 2019. Building on strong demand, additional programs followed:•M.S. in Data Science (MSDS, launched 2021)•M.S. in Artificial Intelligence (MSAI, launched 2024)•Graduate Certificate in Artificial Intelligence and Machine Learning (CAIML, launched 2025)Together, these offerings comprise Computer and Data Science Online (CDSO). Enrollment across CDSO programs now approaches 5,000 students, achieved largely through organic growth.
Publish Date: 2025-11-26
Deadline: 2026-01-07
Documents:

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Digital Marketing Agency - USA Tender

The CITY OF HUDSON OAKS, a Government sector organization in USA, has announced a new tender for Digital Marketing Agency. This tender is published on USARFP under UST Ref No: 131009522 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2026-01-07.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.