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California Regional Consortia

Applied Human-AI Collaboration & Leadership Bachelor of Science

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Submitter's Information

Name

Gary Graves

Title

Professor

Region

Orange County

College

Fullerton College

CTE Dean

CTE Dean's Name

Carlos Ayon

CTE Dean's Email

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Program Details

Program Title

Applied Human-AI Collaboration & Leadership Bachelor of Science

Submission Type

New Program

TOPs Code

Business and Commerce, General (050100)

Projected Start Date

08/25/27

Catalog Description

The Bachelor of Science in Applied Human-AI Collaboration and Leadership prepares students to lead, manage, and strategically implement artificial intelligence solutions within modern organizations. Unlike traditional artificial intelligence programs that focus primarily on software engineering, programming, or technical model development, this program emphasizes the human, organizational, operational, and leadership dimensions of AI adoption in the workplace.

Students develop the knowledge and skills needed to collaborate effectively with AI systems to enhance decision-making, improve productivity, support innovation, and guide organizational transformation across a variety of industries. Coursework integrates applied AI literacy, business analytics, organizational leadership, ethical and responsible AI practices, workflow automation, and data-informed decision-making.

The program prepares graduates for emerging leadership and coordination roles that bridge communication between technical teams, organizational stakeholders, and business operations. Graduates will be equipped to support AI-enabled initiatives across business operations, project management, entrepreneurship, marketing, workforce development, customer experience, and organizational strategy.

Enrollment Completer Projections

The college anticipates a phased cohort-based enrollment model during the first three years of implementation.

Academic YearEstimated New EnrollmentsEstimated Total EnrollmentsEstimated Annual Completers
Year 125–3525–35—
Year 235–4560–8015–20
Year 345–6090–12025–35
Year 450–70120–15035–45

Program Proposal Attributes

Program Award Type(s) (Check all that apply)
  • Baccalaureate of Science (B.S.) Degree
Program Goal

The Bachelor of Science in Applied Human-AI Collaboration and Leadership is designed to provide students with advanced occupational preparation for emerging leadership, coordination, and operational roles that support the integration of artificial intelligence within organizations. The program prepares graduates to apply AI technologies strategically and ethically to improve organizational effectiveness, workforce productivity, innovation, communication, and decision-making across a variety of industries.

The program emphasizes applied learning, interdisciplinary collaboration, organizational leadership, ethical AI governance, business operations, and human-centered implementation of AI systems. Graduates will be prepared for career advancement in roles that bridge business operations, project coordination, workforce transformation, and AI-enabled organizational strategy.

Course Units and Hours

Total Certificate Units (Minimum and Maximum)

n/a

Units for Degree Major or Area of Emphasis (Minimum and Maximum)

60

Total Units for Degree (Minimum and Maximum)

120 - 125

Course Report

Program Requirements Narrative

NEW PROGRAM COURSES:

Course NumberCourse TitleCourse DescriptionCourse Learning Outcomes
HAI 300Foundations of Human-AI CollaborationThis course introduces advanced concepts in human-AI collaboration, focusing on how artificial intelligence systems augment human capabilities in organizational settings. Students examine AI capabilities, limitations, and the design of effective human-AI workflows across industries.1. Analyze the roles of humans and AI systems in collaborative workflows. 
2. Evaluate the capabilities and limitations of AI technologies in organizational contexts. 
3. Design human-AI collaboration models to improve efficiency and outcomes.
HAI 310Applied AI for Organizational Decision-MakingThis course explores the application of AI tools and technologies to support organizational decision-making. Students learn to interpret AI-generated insights and integrate them into structured decision frameworks.1. Analyze AI-generated outputs to support business decision-making. 
2. Evaluate AI tools for effectiveness in solving organizational problems. 
3. Apply decision-making frameworks using AI-driven insights.
HAI 320Data Analytics and Visualization for LeadersThis course develops advanced data literacy skills for leaders working with AI systems. Students learn to interpret complex datasets, create visualizations, and communicate insights to stakeholders.1. Interpret complex data outputs and visualizations for decision-making. 
2. Develop data visualizations to communicate insights effectively. 
3. Evaluate data quality and limitations in AI-driven environments.
HAI 340Organizational Leadership in AI-Enabled EnvironmentsThis course examines leadership strategies for managing organizations undergoing AI-driven transformation. Topics include workforce adaptation, human-AI role design, and leading change in technology-enabled environments.1. Evaluate leadership strategies for AI-enabled organizations. 2. Design workforce adaptation strategies for AI integration. 3. Apply change management principles to support AI adoption.
HAI 350AI Strategy and ImplementationThis course focuses on the development and execution of AI strategies within organizations. Students assess readiness, identify use cases, and design implementation plans aligned with organizational goals.1. Develop AI implementation strategies aligned with organizational objectives. 
2. Assess organizational readiness for AI adoption. 
3. Evaluate the impact and value of AI initiatives.
HAI 360Ethics, Governance, and Responsible AIThis course explores ethical, legal, and governance issues associated with artificial intelligence. Students examine bias, fairness, accountability, and regulatory considerations in AI systems.1. Evaluate ethical risks associated with AI systems. 
2. Apply governance frameworks for responsible AI implementation. 
3. Analyze legal and regulatory considerations related to AI technologies.
HAI 370Managing AI Projects and Cross-Functional TeamsThis course prepares students to manage AI-related projects and collaborate across technical and non-technical teams. Emphasis is placed on project management methodologies, communication, and stakeholder alignment.1. Apply project management methodologies to AI initiatives. 
2. Coordinate communication across cross-functional teams. 
3. Evaluate project performance and outcomes.
HAI 380Human-AI Interaction and Experience DesignThis course examines the design of effective human-AI interactions, focusing on usability, trust, and user experience. Students explore how design influences adoption and system performance.1. Analyze factors influencing user trust and adoption of AI systems. 2. Design human-centered AI interaction frameworks. 3. Evaluate usability and user experience in AI-enabled systems.
BUS 3XXAdvanced Organizational Behavior and Leadership in AI-Enabled EnvironmentsThis course examines advanced concepts in organizational behavior and leadership within technology-driven and AI-enabled environments. Students analyze how artificial intelligence is transforming workplace structures, decision-making, and leadership practices. Emphasis is placed on managing organizational change, leading cross-functional teams, and designing human-AI collaboration strategies that enhance performance and innovation.1. Analyze the impact of artificial intelligence on organizational behavior, team dynamics, and leadership practices. 
2. Evaluate leadership strategies for managing change in AI-enabled environments. 
3. Design organizational and leadership approaches that support effective human-AI collaboration.
PHIL 361 FTechnology and EthicsThis upper-division course examines ethical issues related to emerging technologies, including artificial intelligence. Students explore ethical frameworks and apply them to contemporary and emerging technological challenges, including data use, privacy, automation, and social impacts. The course emphasizes both theoretical foundations and practical decision-making in real-world contexts.1. Explain major ethical theories, including deontological and teleological frameworks, in the context of technology. 
2. Identify and evaluate ethical issues in real-world technological applications. 
3. Apply ethical principles to decision-making involving contemporary technology and AI.
ENGL 301 FTechnical WritingThis upper-division course develops advanced technical and professional writing skills for students pursuing a bachelor’s degree. Students learn to analyze audiences, produce clear and effective technical documents, and apply writing strategies across professional contexts. Emphasis is placed on clarity, precision, and communication in technical environments.1. Analyze audiences and rhetorical situations to inform effective communication strategies. 
2. Apply the writing process to produce professional and technical documents. 
3. Demonstrate techniques for improving clarity, conciseness, and readability in written communication.
HAI 495AAI Implementation Capstone IIn this capstone course, students identify a real-world organizational problem and develop a proposal for an AI-enabled solution. Emphasis is placed on research, feasibility, and project planning.1. Define a real-world problem appropriate for AI-enabled solutions. 
2. Develop a structured project proposal including scope and methodology. 
3. Conduct feasibility and stakeholder analysis.
HAI 495BAI Implementation Capstone IIThis culminating course requires students to design, implement, and present an AI-enabled solution to an organizational challenge. Students integrate technical, leadership, and ethical considerations.1. Design and implement an AI-enabled solution addressing an organizational need. 
2. Evaluate the effectiveness and impact of the implemented solution. 
3. Present findings and recommendations to professional audiences.
Program Requirements
CategoryCourse NumberCourse TitleUnitsSEQUENCE
Lower Division Required (using AI in Business AS)
15BUS 108 FLiving in an Online World3
YEAR 1

BUS 256 FArtificial Intelligence and Prompt Engineering for Business3
YEAR 1

BUS 257 FAI Applications for Business3
YEAR 1

CIS 201 FIntroduction to Python Programming3
YEAR 1

CIS 258 FApplied AI: Machine Learning, Deep Learning and NLP3
YEAR 1
Restricted Lower Division Electives (From AI in Business AS)
13BUS 255 FIntroduction to Business and Data Analytics3
YEAR 2

BUS 271 FLeadership and Business Ethics3
YEAR 2

CIS 142 FDatabase I3
YEAR 2

STATSStatistics4
YEAR 2
Upper Division Core
24HAI 300Foundations of Human-AI Collaboration3
YEAR 3

HAI 310Applied AI for Organizational Decision-Making3
YEAR 3

HAI 320Data Analytics and Visualization for Leaders3
YEAR 3

HAI 340Organizational Leadership in AI-Enabled Environments3
YEAR 3

HAI 350AI Strategy and Implementation3
YEAR 3

HAI 360Ethics, Governance, and Responsible AI3
YEAR 3

HAI 370Managing AI Projects and Cross-Functional Teams3
YEAR 3

HAI 380Human-AI Interaction and Experience Design3
YEAR 3
Upper Division Breadth (Embedded GE)
10ENGL 301 FTechnical Writing3
YEAR 4

PHIL 361 FTechnology and Ethics3
YEAR 4

BUS 3XXAdvanced Organizational Behavior and Leadership4
YEAR 4
Capstone
6HAI 495AAI Implementation Capstone I3
YEAR 4

HAI 495BAI Implementation Capstone II3
YEAR 4
Restricted Electives
18MKT 256 FArtificial Intelligence in Marketing3
YEAR 3 - 4

CIS 210 FAdvanced Python Programming3
YEAR 3 - 4

CIS 235 FIntroduction to Cloud Computing3
YEAR 3 - 4

CYBR 256 FArtificial Intelligence in Cybersecurity3
YEAR 3 - 4

BUS 180 FSmall Business Management3
YEAR 3 - 4

CISG 105 FIntroduction to Augmented and Virtual Reality3
YEAR 3 - 4
TOTAL UNITS (Major Only)

8686
CAL-GETC (achieved with AS)

3439YEAR 1 - 2
TOTAL UNITS:

120125

Supporting Documents

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Orange County Regional Questions

District

North Orange County Community College District

College

Fullerton College

CRLC Member

Ken Starkman

Email

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Phone

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Reason for program recommendation request

New Program

Place of program in college's curriculum/similar program

Business Management

List similar programs at other colleges in the Orange County Region

None

Annual Enrollment projects (non-duplicative)

25-100

Advisory Minutes
Priority Sector

Business and Entrepreneurship

Submission Details

Published at

05/26/26 - 04:28 PM

Status

Recommended

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