Artificial Intelligence in Business Associate in Science

The Artificial Intelligence in Business Associate in Science Degree is designed to prepare students for employment in AI-driven business roles. The focus of the program is skill-building in AI automation, data analysis, machine learning applications, and workflow optimization to improve decision-making and business operations. Emphasis on problem-solving, leadership, and critical thinking is stressed to prepare students for careers in business intelligence, marketing, finance, and operations, where AI-driven technologies are increasingly integrated. This degree requires 21-22 units.

50-100

The Artificial Intelligence in Business Associate in Science Degree prepares students for AI-driven business roles by developing expertise in automation, data analysis, machine learning applications, and workflow optimization.

This program emphasizes problem-solving, leadership, and critical thinking, equipping students with AI-powered tools for business intelligence, marketing, finance, and operations. Graduates will be able to apply AI-driven technologies to enhance decision-making and operational efficiency in diverse business environments.

This degree has an occupational goal, ensuring that students are prepared to integrate AI technologies responsibly and strategically into business processes while addressing ethical considerations, algorithmic bias, and data privacy concerns.

Program Justification

Approved by the Business Advisory Board. A 2023 Labor Market Analysis found that 60% of the top AI-related job postings were in non-technical business fields, and 80% of job postings for business roles now include AI-related skills. Employers are no longer just looking for basic digital skills; they seek professionals who can leverage AI for automation, workflow management, data analysis, and decision-making.

Program Level Student Learning Outcomes

Outcome 1:    Analyze the impact of artificial intelligence on business operations, decision-making, and customer engagement, demonstrating an understanding of AI-driven automation, predictive analytics, and business intelligence.

Outcome 2:    Apply AI-powered tools and technologies, including machine learning, natural language processing (NLP), and generative AI, to optimize marketing, sales, finance, and operational strategies in business environments.

Outcome 3:    Evaluate ethical, legal, and strategic considerations in AI adoption, including issues related to data privacy, algorithmic bias, and responsible AI implementation in business practices.

BUSINESS DIVISION

SANTA ANA    44404    Artificial Intelligence    0799.00* Other Information Technology    11.9999 Computer and Information Sciences and Support Services, Other.    CTE (Limited to programs in CTE TOP codes other than ADTs)    Certificate of Achievement requiring 8 to less than 16 semester units or 12 to less than 24 quarter units        Active

SANTIAGO CANYON    44233    Introduction to Artificial Intelligence (AI) in the Workforce, CC    4930.12 Job Seeking/Changing Skills    32.0105 Job-Seeking/Changing Skills.    Local (all other AA/AS and BA/BS degrees or certificates not in a CTE TOP Code)    Noncredit program

50-100