Data Strategy and Enterprise Architecture

Catalog description

This course introduces students to the architectural principles required to design emerging, modern enterprise data ecosystems, which support advanced analytics and complex layers of artificial intelligence (AI) solutions. Students will learn how organizations move from fragmented legacy environments toward interoperable digital architectures through the use of enterprise architecture frameworks, data meshes, data fabrics, and enterprise data foundries. The course places particular emphasis on architectural design of scalable solutions rather than software engineering, focusing on how organizations structure systems to enable scalable analytics, regulatory transparency (e.g., FDTA, SBR), and data interoperability across emergent AI designs (e.g., Gen, RAG, Agentic). Prereq: MIDS 301 .