Bachelor of Science (B.S.) in Artificial Intelligence Minor in Faith-Based Ethics and AI for Social Media Use

Degree abbreviation B.S. in Artificial Intelligence Total program length 144 semester credit hours Normal completion time Four academic years General education 36 credit hours Artificial intelligence core 87 credit hours Professional application courses 15 credit hours Capstone requirement 6 credit hours The Bachelor of Science (B.S.) in Artificial Intelligence with a Minor in Faith-Based Ethics and AI for Social Media Use prepares students to engage with cutting-edge AI technologies and their ethical implications, particularly in the realm of social media. Students will gain a deep understanding of AI algorithms, machine learning, and data analysis, alongside a robust framework for evaluating the ethical impact of AI in society. This unique program emphasizes the intersection between technology and faith-based ethical considerations, equipping graduates to address complex moral questions posed by AI in digital communication. Upon completion, students will be well-prepared for careers that require both technical proficiency in AI and a strong ethical foundation, making them valuable assets in industries that shape the future of technology. The Bachelor of Science in Artificial Intelligence combines a foundational general education with a comprehensive study in artificial intelligence theory, computational behavioral science, algorithmic human development, ethical frameworks, rigorous research methods, digital crisis awareness, automated systems referral, machine learning program development, and community-based support structures for digital environments. Florida's current standard establishes a minimum of 120 semester credits for a bachelor's degree and at least 30 general-education credits for a Bachelor of Science. This curriculum exceeds the general-education minimum. Program Details Total Credits: 144 Duration: 4 years Degree Level: Bachelor

Academic unit

Unassigned Academic Unit

Total credits

144

Duration

4 years

• Analyze and implement AI algorithms for various applications.
• Evaluate the ethical implications of artificial intelligence in social media.
• Demonstrate proficiency in data analysis and machine learning techniques.
• Integrate faith-based ethical principles into technology solutions.
• Develop AI-driven projects that address real-world social issues.
• Communicate effectively about AI technologies and their societal impacts.
• Conduct research on current trends in AI and ethical standards.
• Course Outline
• Semester 1 — Year 1
• Code
• Title
• Credits
• Prerequisites
• AI 101
• Introduction to Artificial Intelligence
• 3
• None
• AI 101
• Introduction to Artificial Intelligence
• 3
• None
• CS 101
• Introduction to Computer Science
• 3
• None
• ENG 101
• Academic Writing and Composition
• 3
• None
• ETH 101
• Foundations of Faith-Based Ethics
• 3
• None
• GEN 101
• English Composition I
• 3
• None
• AI 101 — Introduction to Artificial Intelligence: Overview of AI concepts and applicationsThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• AI 101 — Introduction to Artificial Intelligence : This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• CS 101 — Introduction to Computer Science: Fundamentals of computer science and programmingThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• ENG 101 — Academic Writing and Composition: This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• ETH 101 — Foundations of Faith-Based Ethics: Foundational principles of faith-based ethicsThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• GEN 101 — English Composition I: Foundational writing and composition skillsThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• Semester 2 — Year 1
• Code
• Title
• Credits
• Prerequisites
• CS 102
• Data Structures
• 3
• None
• GEN 102
• English Composition II
• 3
• None
• CSC 110
• Programming I: Python for AI
• 3
• None
• MAT 120
• College Algebra and Functions
• 3
• None
• MATH 121
• Calculus I
• 3
• None
• MATH 122
• Calculus II
• 3
• None
• CS 102 — Data Structures: Data structures and algorithms fundamentalsThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• GEN 102 — English Composition II: Advanced writing and research skillsThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• CSC 110 — Programming I: Python for AI : This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• MAT 120 — College Algebra and Functions : This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• MATH 121 — Calculus I: Introduction to differential calculusThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• MATH 122 — Calculus II: Integral calculus and applicationsThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• Semester 3 — Year 2
• Code
• Title
• Credits
• Prerequisites
• AI 201
• Machine Learning I
• 3
• None
• CS 201
• Computer Organization & Architecture
• 3
• None
• STAT 201
• Applied Statistics for AI
• 3
• None
• AI 202
• Machine Learning II
• 3
• None
• CS 202
• Algorithm Design & Analysis
• 3
• None
• STAT 202
• Probability for Artificial Intelligence
• 3
• None
• AI 201 — Machine Learning I: Introduction to machine learning algorithmsThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• CS 201 — Computer Organization & Architecture: Computer systems architecture and organizationThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• STAT 201 — Applied Statistics for AI: Statistical methods for artificial intelligenceThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• AI 202 — Machine Learning II: Advanced machine learning techniquesThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• CS 202 — Algorithm Design & Analysis: Design and analysis of computational algorithmsThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• STAT 202 — Probability for Artificial Intelligence: Probability theory for AI applicationsThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• Semester 4 — Year 2
• Code
• Title
• Credits
• Prerequisites
• ETH 210
• Ethics of Artificial Intelligence
• 3
• None
• GEN 210
• Humanities (Ethics or Philosophy Core)
• 3
• None
• AI 220
• Data Systems for AI
• 3
• None
• GEN 220
• Social Science Applications
• 3
• None
• AI 301
• Neural Networks & Deep Learning
• 3
• None
• CS 301
• Software Engineering for AI Systems
• 3
• None
• ETH 210 — Ethics of Artificial Intelligence: Ethical considerations in AI development and useThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• GEN 210 — Humanities (Ethics or Philosophy Core): Foundational humanities course in ethics or philosophyThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• AI 220 — Data Systems for AI: Database and data management systems for AIThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• GEN 220 — Social Science Applications: Social science principles and applicationsThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• AI 301 — Neural Networks & Deep Learning: Deep learning and neural network architecturesThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• CS 301 — Software Engineering for AI Systems: Software engineering principles for AI developmentThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• Semester 5 — Year 3
• Code
• Title
• Credits
• Prerequisites
• ETH 301
• Theology, Technology, and Society
• 3
• None
• AI 302
• Computer Vision
• 3
• None
• AI 310
• Natural Language Processing
• 3
• None
• ETH 310
• Faith-Based Ethics and AI for Social Media Use (Minor Capstone)
• 3
• None
• GEN 310
• Cultural Diversity & Global Studies
• 3
• None
• STAT 310
• Data Mining & Predictive Analytics
• 3
• None
• ETH 301 — Theology, Technology, and Society: Intersection of theology, technology, and societyThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• AI 302 — Computer Vision: Image processing and computer vision techniquesThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• AI 310 — Natural Language Processing: Processing and understanding natural language with AIThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• ETH 310 — Faith-Based Ethics and AI for Social Media Use (Minor Capstone): Capstone course on faith-based ethics in AI and social mediaThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• GEN 310 — Cultural Diversity & Global Studies: Global cultural perspectives and diversityThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• STAT 310 — Data Mining & Predictive Analytics: Data mining techniques and predictive modelingThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• Semester 6 — Year 3
• Code
• Title
• Credits
• Prerequisites
• AI 320
• Human-Centered Artificial Intelligence
• 3
• None
• CS 320
• Cloud Computing for AI
• 3
• None
• AI 401
• Robotics & Intelligent Automation
• 3
• None
• CS 401
• Cybersecurity for Intelligent Systems
• 3
• None
• AI 410
• AI for Social Media Analytics
• 3
• None
• GEN 410
• Professional Communication & Leadership
• 3
• None
• AI 320 — Human-Centered Artificial Intelligence: AI design with focus on human needs and ethicsThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• CS 320 — Cloud Computing for AI: Cloud infrastructure for AI applicationsThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• AI 401 — Robotics & Intelligent Automation: Robotics systems and intelligent automationThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• CS 401 — Cybersecurity for Intelligent Systems: Security principles for AI and intelligent systemsThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• AI 410 — AI for Social Media Analytics: AI applications in social media analysisThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• GEN 410 — Professional Communication & Leadership: Leadership and professional communication skillsThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• Semester 7 — Year 4
• Code
• Title
• Credits
• Prerequisites
• AI 420
• Responsible AI Development
• 3
• None
• CS 420
• Distributed Systems
• 3
• None
• GEN 420
• Business Fundamentals for Technologists
• 3
• None
• AI 430
• Big Data Engineering
• 3
• None
• AI 450
• AI Model Deployment & MLOps
• 3
• None
• CS 450
• Software Testing & Validation
• 3
• None
• AI 420 — Responsible AI Development: Ethical and responsible AI development practicesThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• CS 420 — Distributed Systems: Distributed computing systems and architecturesThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• GEN 420 — Business Fundamentals for Technologists: Business principles for technology professionalsThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• AI 430 — Big Data Engineering: Big data systems and engineeringThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• AI 450 — AI Model Deployment & MLOps: ML operations and model deployment in productionThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• CS 450 — Software Testing & Validation: Software testing methodologies and validationThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• Semester 8 — Year 4
• Code
• Title
• Credits
• Prerequisites
• GEN 450
• Entrepreneurship & Innovation
• 3
• None
• AI 460
• Advanced Neural Architectures
• 3
• None
• AI 480
• Applied Artificial Intelligence Practicum
• 3
• None
• GEN 480
• Internship / Cooperative Education
• 3
• None
• AI 485
• Research Methods in AI
• 3
• None
• AI 490
• AI Senior Capstone Project
• 3
• None
• GEN 450 — Entrepreneurship & Innovation: Innovation and entrepreneurship in technologyThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• AI 460 — Advanced Neural Architectures: Advanced neural network architectures and techniquesThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• AI 480 — Applied Artificial Intelligence Practicum: Hands-on AI project work and practicumThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• GEN 480 — Internship / Cooperative Education: Professional internship or cooperative educationThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• AI 485 — Research Methods in AI: Research methodologies for AI studiesThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..
• AI 490 — AI Senior Capstone Project: Senior capstone project in artificial intelligenceThis course prepares students in supporting faith-based, nonprofit, community organizations' missions..

Applicants should possess a high school diploma or equivalent with a strong foundation in mathematics and computer science. Additionally, applicants may need to submit standardized test scores and a personal statement outlining their interest in AI and ethics. Career Opportunities AI Ethics Consultant Data Scientist Machine Learning Engineer Social Media Analyst Technology Policy Advisor AI Research Scientist Digital Communication Strategist Important Notices The program educates ethical professionals who demonstrate technical excellence, servant leadership, professional integrity, and a commitment to apply sound principles to advance faith-based organizations, strengthen communities, and contribute responsibly. HBIU is a lawfully operating nonpublic faith-based postsecondary institution that maintains its status under section 1005.06(1)(f), Florida Statutes. The University annually affirms its compliance with the requirements applicable to faith-based institutions in Florida through Commission for Independent Education. HBIU accreditation from QAHE (for quality assurance in pre-tertiary and higher education mechanisms). QAHE offers globally recognized accreditation and quality assurance for higher education, training providers, and professional institutions worldwide. Students should consider the nature and scope of this recognition in relation to their individual certification and professional goals. Transfer credit is evaluated individually based on course content, credit hours, grades, institutional documentation, program requirements, and applicable university policies. Although HBIU provides academically structured programs, no institution can guarantee that another college, university, employer, licensing board, or credential-evaluation service will accept its credits or credentials. Students are encouraged to obtain advance written confirmation from the intended receiving organization. The program develops academic knowledge and applied competencies for service in faith-based organizations, nonprofit institutions, community programs, and related professional environments. Some occupations associated with the subject area may be regulated by governmental or professional authorities. A degree from HBIU demonstrates completion of the University's academic requirements but does not, by itself, confer professional licensure or legal authority to perform regulated services. Where a program is related to an external certification, eligibility is determined exclusively by the applicable certifying organization. Certification bodies may establish additional requirements involving education, examinations, experience, background screening, continuing education, or membership. HBIU does not guarantee certification eligibility or examination approval unless a formal written agreement expressly provides otherwise. Career and occupational information is provided to help students make informed educational decisions. Employment outcomes depend on factors such as the graduate's experience, geographic location, professional qualifications, employer requirements, economic conditions, interviewing ability, and any applicable licensure or certification requirements. Completion of a program does not constitute a promise of employment, promotion, job placement, or a particular occupational title. This program is delivered through online instruction. Students must have access to the technology, equipment, internet service, software, and learning resources identified in the University's technology requirements. Internship or field-experience participation is subject to academic eligibility, site availability, supervisor approval, and the requirements of the participating organization. The University assists students with the placement process but cannot guarantee placement with a particular organization, supervisor, location, or schedule. Students are responsible for reviewing the catalog, understanding program requirements, providing accurate information, meeting academic and financial obligations, and verifying whether the program supports their intended educational or professional goals. Completion of a University program does not authorize a graduate to use a professional title that is protected or restricted by law. Graduates must use titles that accurately reflect their education, credentials, employment role, and current licensure or certification status. Degree abbreviation | B.S. in Artificial Intelligence Total program length | 144 semester credit hours Normal completion time | Four academic years General education | 36 credit hours Artificial intelligence core | 87 credit hours Professional application courses | 15 credit hours Capstone requirement | 6 credit hours Code | Title | Credits | Prerequisites AI 101 | Introduction to Artificial Intelligence | 3 | None AI 101 | Introduction to Artificial Intelligence | 3 | None CS 101 | Introduction to Computer Science | 3 | None ENG 101 | Academic Writing and Composition | 3 | None ETH 101 | Foundations of Faith-Based Ethics | 3 | None GEN 101 | English Composition I | 3 | None Code | Title | Credits | Prerequisites CS 102 | Data Structures | 3 | None GEN 102 | English Composition II | 3 | None CSC 110 | Programming I: Python for AI | 3 | None MAT 120 | College Algebra and Functions | 3 | None MATH 121 | Calculus I | 3 | None MATH 122 | Calculus II | 3 | None Code | Title | Credits | Prerequisites AI 201 | Machine Learning I | 3 | None CS 201 | Computer Organization & Architecture | 3 | None STAT 201 | Applied Statistics for AI | 3 | None AI 202 | Machine Learning II | 3 | None CS 202 | Algorithm Design & Analysis | 3 | None STAT 202 | Probability for Artificial Intelligence | 3 | None Code | Title | Credits | Prerequisites ETH 210 | Ethics of Artificial Intelligence | 3 | None GEN 210 | Humanities (Ethics or Philosophy Core) | 3 | None AI 220 | Data Systems for AI | 3 | None GEN 220 | Social Science Applications | 3 | None AI 301 | Neural Networks & Deep Learning | 3 | None CS 301 | Software Engineering for AI Systems | 3 | None Code | Title | Credits | Prerequisites ETH 301 | Theology, Technology, and Society | 3 | None AI 302 | Computer Vision | 3 | None AI 310 | Natural Language Processing | 3 | None ETH 310 | Faith-Based Ethics and AI for Social Media Use (Minor Capstone) | 3 | None GEN 310 | Cultural Diversity & Global Studies | 3 | None STAT 310 | Data Mining & Predictive Analytics | 3 | None Code | Title | Credits | Prerequisites AI 320 | Human-Centered Artificial Intelligence | 3 | None CS 320 | Cloud Computing for AI | 3 | None AI 401 | Robotics & Intelligent Automation | 3 | None CS 401 | Cybersecurity for Intelligent Systems | 3 | None AI 410 | AI for Social Media Analytics | 3 | None GEN 410 | Professional Communication & Leadership | 3 | None Code | Title | Credits | Prerequisites AI 420 | Responsible AI Development | 3 | None CS 420 | Distributed Systems | 3 | None GEN 420 | Business Fundamentals for Technologists | 3 | None AI 430 | Big Data Engineering | 3 | None AI 450 | AI Model Deployment & MLOps | 3 | None CS 450 | Software Testing & Validation | 3 | None Code | Title | Credits | Prerequisites GEN 450 | Entrepreneurship & Innovation | 3 | None AI 460 | Advanced Neural Architectures | 3 | None AI 480 | Applied Artificial Intelligence Practicum | 3 | None GEN 480 | Internship / Cooperative Education | 3 | None AI 485 | Research Methods in AI | 3 | None AI 490 | AI Senior Capstone Project | 3 | None