Certificate in Faith Based Machine Learning, AI with Biblical Ethics

Total program length

18 semester credit hours

Normal completion time

Six to nine months

General education

Not required

Professional application courses

3 credit hours

Academic unit

HBIU Training Institute

Total credits

18

Duration

1 years

• Analyze the operational mechanisms and limitations of machine learning and artificial intelligence systems.
• Evaluate the ethical implications of data collection, algorithmic bias, and automated decision-making processes.
• Apply biblical ethical principles to the design and deployment of technological solutions.
• Demonstrate proficiency in modern programming languages and data analysis tools used in AI development.
• Communicate the complexities of machine learning architecture to stakeholders with varying levels of technical expertise.
• Integrate organizational leadership strategies that prioritize servant leadership and moral accountability in technical environments.
• Course Outline
• Semester 1 — Year 1
• Code
• Title
• Credits
• Prerequisites
• CS101
• Foundations of Computational Logic
• 2
• None
• CHR205
• Foundations of Biblical Ethics
• 2
• None
• CS110
• Introduction to Data Science
• 3
• None
• BUS220
• Stewardship in Organizational Leadership
• 2
• None
• CS101 — Foundations of Computational Logic: This course explores the fundamental principles of algorithmic design and problem solving in computing environments. It introduces students to the logic required to build efficient and effective systems. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• CHR205 — Foundations of Biblical Ethics: This course examines the biblical framework for moral reasoning and its application to modern professional dilemmas. Students investigate key theological concepts that inform decision-making and accountability. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• CS110 — Introduction to Data Science: Students gain hands-on experience in managing and interpreting datasets using standard industry software. The course emphasizes data integrity and the responsible handling of sensitive information. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• BUS220 — Stewardship in Organizational Leadership: This course explores the management of resources within non-profit and faith-based contexts, emphasizing fiscal and relational stewardship. Leadership strategies are evaluated for their long-term impact on community capacity building. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• Semester 2 — Year 1
• Code
• Title
• Credits
• Prerequisites
• CS302
• Machine Learning Frameworks
• 3
• CS110
• CHR350
• Ethics in Artificial Intelligence
• 3
• CHR205
• RES305
• Research and Analysis for Community Impact
• 1
• CS110
• CAP490
• Capstone in Faith-Based AI Application
• 2
• CS302, CHR350
• CS302 — Machine Learning Frameworks: This course provides an advanced overview of machine learning architectures and their practical implementation. Students learn to develop models that solve specific organizational challenges through predictive analytics. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• CHR350 — Ethics in Artificial Intelligence: Students critically analyze the societal impact of automation, including concerns regarding privacy, transparency, and human flourishing. The course focuses on creating equitable solutions within the context of Christian social responsibility. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• RES305 — Research and Analysis for Community Impact: This course focuses on quantitative research methods used to measure the efficacy and community reach of organizational programs. Students learn to utilize empirical data to advocate for service and institutional improvement. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• CAP490 — Capstone in Faith-Based AI Application: Students complete an applied project that demonstrates the integration of technical machine learning skills with biblically-informed ethical standards. The course culminates in a final presentation and documentation of a proposed solution for a specific organizational need. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Applicants must hold a high school diploma or equivalent, with a demonstrated proficiency in fundamental mathematics, including algebra and basic statistics. Candidates are expected to exhibit a commitment to ethical personal development and academic inquiry, as evidenced by a written statement of purpose. Prior exposure to basic computer science concepts or professional experience in organizational leadership is strongly encouraged to ensure successful engagement with the program's technical components. Culminating Project The Capstone Project serves as the final academic experience, requiring students to synthesize their technical knowledge and ethical training into a comprehensive, applied project. Students are tasked with identifying a real-world problem within a faith-based or community organization and designing a machine learning-based solution that is both technically robust and ethically sound. This project necessitates a deep engagement with the constraints of real-world data and the moral responsibilities inherent in automated systems. The capstone requires students to deliver a technical documentation suite, a prototype or model implementation, and an ethical impact analysis report that reflects a Christian worldview. By navigating these challenges, students demonstrate their ability to apply academic competence in a way that serves the mission of their chosen organization, manifesting professional discernment and character integrity. The project is weighted as a critical 3-credit final course, signifying the culmination of the student’s academic and spiritual formation within the program.

• To qualify for the certificate, students must successfully complete 18 required credit hours with a minimum cumulative grade point average of 2.0. In addition to academic coursework, graduates must demonstrate a satisfactory completion of the Capstone Project, which is evaluated not only for technical accuracy but also for the student's ability to articulate an ethical framework that supports their work. Academic achievement at HBI University is viewed as a prerequisite for meaningful service, and as such, graduates are expected to demonstrate ongoing commitment to spiritual maturity and professional ethics. Students must also participate in mandatory community engagement or spiritual formation reflections to ensure that their technical training remains anchored in a heart of service. The combination of rigorous analytical study and dedicated character development ensures that graduates enter their respective fields prepared to act with integrity, stewardship, and a clear vision for faith-informed service.
• Career Opportunities
• AI Ethics Compliance Consultant
• Data Analyst for Nonprofits
• Technology Strategy Associate
• Digital Operations Manager
• Community Engagement Specialist
• Machine Learning Project Coordinator
• Grant and Research Tech Lead
• 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.
• Credential abbreviation | Certificate in Faith Based Machine Learning, AI with Biblical Ethics
• Total program length | 18 semester credit hours
• Normal completion time | Six to nine months
• General education | Not required
• Foundational Faith Based Machine Learning, AI with Biblical Ethics courses | 12 credit hours
• Professional application courses | 3 credit hours
• Final applied project | 3 credit hours
• Code | Title | Credits | Prerequisites
• CS101 | Foundations of Computational Logic | 2 | None
• CHR205 | Foundations of Biblical Ethics | 2 | None
• CS110 | Introduction to Data Science | 3 | None
• BUS220 | Stewardship in Organizational Leadership | 2 | None
• Code | Title | Credits | Prerequisites
• CS302 | Machine Learning Frameworks | 3 | CS110
• CHR350 | Ethics in Artificial Intelligence | 3 | CHR205
• RES305 | Research and Analysis for Community Impact | 1 | CS110
• CAP490 | Capstone in Faith-Based AI Application | 2 | CS302, CHR350