Admission Requirements
Admission and entry requirements
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