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

Academic unitCollege of Computer ScienceTotal credits144Estimated duration4 yearsSource documentBachelor_of_Science__B_S___in_Artificial_Intelligence_Minor_in_Faith_Based_Ethic.docx

Program Overview

Official program overview

Program Overview

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 Facts

Program facts

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
Professional application courses
15 credit hours
Capstone requirement
6 credit hours
Academic unit
College of Computer Science
Total credits
144
Duration
4 years

Program Description

Official program description

Learning Outcomes

Student learning outcomes

  • 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.

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.

Program Structure

Official program structure

Program Details

  • Total Credits: 144
  • Duration: 4 years
  • Degree Level: Bachelor

Semester-by-Semester Curriculum

Official course sequence

Year 1

Semester 1

12 credits
CodeCourse TitleCreditsPrerequisite
AI101Introduction to Artificial Intelligence3None
View Description

Course description not provided in source.

AI101Introduction to Artificial Intelligence3None
View Description

Course description not provided in source.

CS101Introduction to Computer Science3None
View Description

Course description not provided in source.

ENG101Academic Writing and Composition3None
View Description

Course description not provided in source.

Semester 2

12 credits
CodeCourse TitleCreditsPrerequisite
ETH101Foundations of Faith-Based Ethics3None
View Description

Course description not provided in source.

GEN101English Composition I3None
View Description

Course description not provided in source.

CS102Data Structures3None
View Description

Course description not provided in source.

GEN102English Composition II3None
View Description

Course description not provided in source.

Semester 3

12 credits
CodeCourse TitleCreditsPrerequisite
CSC110Programming I: Python for AI3None
View Description

Course description not provided in source.

MAT120College Algebra and Functions3None
View Description

Course description not provided in source.

MATH121Calculus I3None
View Description

Course description not provided in source.

MATH122Calculus II3None
View Description

Course description not provided in source.

Year 2

Semester 4

12 credits
CodeCourse TitleCreditsPrerequisite
AI201Machine Learning I3None
View Description

Course description not provided in source.

CS201Computer Organization & Architecture3None
View Description

Course description not provided in source.

STAT201Applied Statistics for AI3None
View Description

Course description not provided in source.

AI202Machine Learning II3None
View Description

Course description not provided in source.

Semester 5

12 credits
CodeCourse TitleCreditsPrerequisite
CS202Algorithm Design & Analysis3None
View Description

Course description not provided in source.

STAT202Probability for Artificial Intelligence3None
View Description

Course description not provided in source.

ETH210Ethics of Artificial Intelligence3None
View Description

Course description not provided in source.

GEN210Humanities (Ethics or Philosophy Core)3None
View Description

Course description not provided in source.

Semester 6

12 credits
CodeCourse TitleCreditsPrerequisite
AI220Data Systems for AI3None
View Description

Course description not provided in source.

GEN220Social Science Applications3None
View Description

Course description not provided in source.

AI301Neural Networks & Deep Learning3None
View Description

Course description not provided in source.

CS301Software Engineering for AI Systems3None
View Description

Course description not provided in source.

Year 3

Semester 7

12 credits
CodeCourse TitleCreditsPrerequisite
ETH301Theology, Technology, and Society3None
View Description

Course description not provided in source.

AI302Computer Vision3None
View Description

Course description not provided in source.

AI310Natural Language Processing3None
View Description

Course description not provided in source.

ETH310Faith-Based Ethics and AI for Social Media Use (Minor Capstone)3None
View Description

Course description not provided in source.

Semester 8

12 credits
CodeCourse TitleCreditsPrerequisite
GEN310Cultural Diversity & Global Studies3None
View Description

Course description not provided in source.

STAT310Data Mining & Predictive Analytics3None
View Description

Course description not provided in source.

AI320Human-Centered Artificial Intelligence3None
View Description

Course description not provided in source.

CS320Cloud Computing for AI3None
View Description

Course description not provided in source.

Semester 9

12 credits
CodeCourse TitleCreditsPrerequisite
AI401Robotics & Intelligent Automation3None
View Description

Course description not provided in source.

CS401Cybersecurity for Intelligent Systems3None
View Description

Course description not provided in source.

AI410AI for Social Media Analytics3None
View Description

Course description not provided in source.

GEN410Professional Communication & Leadership3None
View Description

Course description not provided in source.

Year 4

Semester 10

12 credits
CodeCourse TitleCreditsPrerequisite
AI420Responsible AI Development3None
View Description

Course description not provided in source.

CS420Distributed Systems3None
View Description

Course description not provided in source.

GEN420Business Fundamentals for Technologists3None
View Description

Course description not provided in source.

AI430Big Data Engineering3None
View Description

Course description not provided in source.

Semester 11

12 credits
CodeCourse TitleCreditsPrerequisite
AI450AI Model Deployment & MLOps3None
View Description

Course description not provided in source.

CS450Software Testing & Validation3None
View Description

Course description not provided in source.

GEN450Entrepreneurship & Innovation3None
View Description

Course description not provided in source.

AI460Advanced Neural Architectures3None
View Description

Course description not provided in source.

Semester 12

12 credits
CodeCourse TitleCreditsPrerequisite
AI480Applied Artificial Intelligence Practicum3None
View Description

Course description not provided in source.

GEN480Internship / Cooperative Education3None
View Description

Course description not provided in source.

AI485Research Methods in AI3None
View Description

Course description not provided in source.

AI490AI Senior Capstone Project3None
View Description

Course description not provided in source.

Major / Core Requirements

Major and core requirements

General education | 36 credit hours

  • Artificial intelligence core | 87 credit hours
  • Professional application courses | 15 credit hours

Final Project Requirement

Final project requirement

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
  • ETH310Faith-Based Ethics and AI for Social Media Use (Minor Capstone)3 credits
  • AI490AI Senior Capstone Project3 credits

Career Opportunities

Career opportunities

Career Opportunities

  • AI Ethics Consultant
  • Data Scientist
  • Machine Learning Engineer
  • Social Media Analyst
  • Technology Policy Advisor
  • AI Research Scientist
  • Digital Communication Strategist

Additional Official Information

Additional source information

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