Enrollment Data Analytics & Modeling

Texas State University is seeking a subcontractor to conduct advanced statistical analysis and predictive modeling focused on enrollment, financial aid, and student outcomes data to enhance the allocation of scholarship resources. The goal is to develop data-driven strategies that improve the efficiency and equity of scholarship distribution by identifying patterns and forecasting trends tied to student retention, academic performance, and financial need. The project requires expertise in data analytics, machine learning, and econometric modeling to transform complex institutional datasets into actionable insights that directly support institutional objectives around student success and funding optimization. The contract is classified under NAICS code 541690 for other scientific and technical consulting services and is posted as a subcontract opportunity with a response deadline of August 12, 2026. All work is expected to be performed in support of Texas State University’s operational needs, though specific performance location details are not provided. The solicitation is accessible via the Texas SmartBuy portal, and interested parties must submit proposals by the stated deadline to be considered. No set-aside provisions or small business preferences are indicated, and the university is not specifying additional organizational requirements beyond the technical scope of the work.