CISM-3540 Big Data & Artificial Intelligence in Business

Description

This course examines the critical role that large scale data infrastructure plays in enabling and scaling artificial intelligence systems in modern organizations. The course focuses on the interdependence between Big Data platforms and AI/ML pipelines, emphasizing how data volume, velocity, variety, quality, and governance directly influence model performance and business outcomes. Students will explore contemporary data architectures including data lakes, feature stores, and vector databases and analyze how these technologies support predictive, prescriptive, and generative AI applications across business domains.Through hands on projects using cloud based data engineering and AI/ML services, students will design and implement end to end data pipelines that prepare, serve, and manage data for intelligent systems. The course integrates technical architecture with business strategy, highlighting topics such as data governance, ethical AI, cost optimization, and return on investment. By completing a team based capstone project that culminates in a functional data AI system, students develop the ability to communicate technical designs and business value propositions to both technical and non technical stakeholders. This course serves as an advanced, applied experience that prepares students to lead data driven and AI enabled initiatives in enterprise environments.

Course Hours

Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00