Associate of Applied Science in AI for Business (AASAIB)
Program Description
The Associate of Applied Science in AI for Business (AASAIB) is a two-year degree designed to prepare learners for entry-level, technology-adjacent roles in modern business environments. The program integrates applied AI and digital technology concepts with foundational business knowledge, quantitative reasoning, and general education. Graduates develop a hybrid skill set spanning AI literacy, data analysis, business fundamentals, and professional communication, enabling them to support AI-enabled workflows, data-informed decision-making, and digital operations across a range of organizational contexts. The program also provides a structured academic pathway for learners who wish to continue into the upper-level coursework of the Bachelor of Science in AI for Business.
Program Outcomes
Describe fundamental AI concepts and common business use cases, including analytics, automation, and customer-facing applications.
Use introductory programming concepts, low-code tools, and cloud-based platforms to support data handling, process automation, and AI-enabled business tasks.
Apply introductory data analytics techniques to summarize data, recognize patterns, and support routine business decision-making.
Identify ethical, security, and organizational considerations related to the use of AI-enabled and digital technologies in business environments.
Describe the configuration, operation, and monitoring steps for digital and AI-enabled business processes based on established guidelines and procedures.
Communicate effectively in professional settings by presenting technical information, data summaries, and project updates to both technical and non-technical stakeholders.
Demonstrate the knowledge, skills, and attitudes associated with general education learning outcomes, including written and oral communication, quantitative reasoning, natural and physical sciences, social and behavioral sciences, and the humanities and fine arts.
Program Structure
General Education Requirements | ||
Written and Oral Communications | ||
COM 1200 | Professional Communication | 3 credits |
Quantitative Principles | ||
QRS 1250 | Programming Fundamentals for Business | 3 credits |
STA 1300 | Statistics | 3 credits |
Natural and Physical Science | ||
SCI 3150 | Physical Science of Artificial Systems | 3 credits |
Humanities and Fine Arts | ||
HUM 3100 | Design Thinking & Human-Centered Innovation | 3 credits |
Social and Behavioral Sciences | ||
PBS 2250 | Problem-Solving and Critical Thinking | 3 credits |
General Education Total: 18 credits | ||
Core Requirements | ||
AIA 1100 | AI Innovator's Roadmap | 3 credits |
MKT 2100 | Marketing Fundamentals | 3 credits |
BUS 2200 | Principles of Management | 3 credits |
AIA 2100 | Introduction to AI | 3 credits |
ACC 2100 | Financial Accounting | 3 credits |
DTF 2100 | Fundamentals of Digital Transformation | 3 credits |
BAN 2100 | Data Analytics | 3 credits |
OPM 2100 | Process and Quality Management | 3 credits |
BUS 2250 | Business Career Branding for Success | 3 credits |
AIA 2150 | Cloud Computing for AI & Business | 3 credits |
AIA 3210 | Intelligent Process Automation | 3 credits |
AIA 3250 | Fundamentals of Cybersecurity | 3 credits |
AIA 3100 | Digital Solutions Architecture | 3 credits |
AIA 3120 * | Low-Code Development | 3 credits |
Core Total: 42 credits | ||
Degree Program Total: 60 credits | ||
* Denotes courses that have prerequisite(s). Refer to the course descriptions for further details.