Business Intelligence Engineering (AAS)

The Associate of Applied Science (AAS) in Business Intelligence Engineering prepares students to design, analyze, and operationalize data systems that support organizational decision-making. The program integrates programming, statistics, database design, data modeling, and applied artificial intelligence to develop practical, workforce-ready skills for modern data-driven environments.

Students build foundational programming and quantitative competencies while gaining applied experience in data warehousing, data pipelines, visualization, and AI-enabled workflows. Coursework emphasizes ethical data practices, cybersecurity fundamentals, and collaborative communication, preparing graduates to support responsible and effective use of data and intelligent technologies within organizations.

Through hands-on projects and immersive learning experiences, students learn to manage structured data, develop dashboards and reporting solutions, and assist in the deployment and maintenance of AI-supported systems. Graduates are prepared to contribute to analytics, data operations, and AI system support teams and may continue their education in bachelor-level programs in Business Intelligence, Artificial Intelligence, Data Science, Cybersecurity, or related fields.

The AAS in Business Intelligence Engineering provides a strong entry point into data and AI-enabled roles across industries. As organizations increasingly rely on data infrastructure and intelligent systems to guide operations, professionals who can support and maintain these systems remain in demand.

 Graduates are prepared for entry-level roles such as:

• Data Analyst

• Business Intelligence Analyst

• Junior Data Engineer

• Junior Machine Learning Engineer

• AI Operations or Data Pipeline Support Specialist

• Database Administrator

 With experience and continued professional development, graduates may advance into specialized technical roles or pursue further education in related disciplines.

This program is designed to enhance employability by developing industry-relevant skills and preparing students for applicable industry certifications; however, it is not designed or intended to lead to professional licensure in any state.