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Doctor of Philosophy in Faith-Based Artificial Intelligence, Specialization in Ethics AI for Social Good

Academic unitCollege of Computer ScienceTotal credits120Estimated duration3 yearsSource documentDoctor_of_Philosophy_in_Faith_Based_Artificial_Intelligence__Specialization_in_E.docx

Program Overview

Official program overview

Program Overview

Degree abbreviation

Ph.D. in Faith-Based Artificial Intelligence

Total program length

120 semester credit hours

Maximum approved transfer credit

Up to 40 semester credit hours

Minimum credits completed through the University after maximum transfer

80 semester credit hours

Normal completion time

Three to six academic years, depending on approved transfer credit, enrollment status, academic progress, and completion of the doctoral project

Advanced faith-based artificial intelligence and specialization courses

30 credit hours

Leadership, administration, and professional practice

21 credit hours

Research methods and program evaluation

18 credit hours

Professional application and doctoral residency

15 credit hours

Advanced electives or concentration courses

12 credit hours

Comprehensive examination and doctoral candidacy

6 credit hours

Applied doctoral project and defense

18 credit hours

Total

120 semester credit hours

The Doctor of Philosophy in Faith-Based Artificial Intelligence with a specialization in Ethics for Social Good is an interdisciplinary doctoral program designed to bridge the gap between advanced computational theory and the ethical imperatives of service-oriented leadership. This program equips scholars with the analytical tools to evaluate emerging technological trends through the lenses of stewardship, human dignity, and justice, ensuring that artificial intelligence is developed and deployed to enhance human flourishing and community wellness. Through a curriculum rooted in rigorous academic inquiry, students explore the intersection of technical innovation and moral responsibility. The program emphasizes the integration of faith-informed ethical reasoning into the architecture and governance of AI systems, fostering a cohort of leaders capable of addressing complex societal challenges within public, private, and nonprofit sectors. By prioritizing human-centric design, candidates contribute to a technological landscape that values the common good as a fundamental component of structural integrity.

The Doctor of Philosophy in Faith-Based Artificial Intelligence is an applied professional doctorate emphasizing advanced faith-based artificial intelligence knowledge, organizational leadership, ethical stewardship, program development, community-care systems, higher-education instruction, and evidence-informed professional practice.

Students may receive up to 40 semester credit hours of approved graduate or doctoral transfer credit. Accepted transfer credits are applied toward the 120-credit graduation requirement and may reduce the number of courses and the amount of time required to complete the degree. A student receiving the maximum transfer-credit award must complete at least 80 semester credit hours through the University.

The applied doctoral project must address a documented faith-based artificial intelligence-support, educational, organizational, or community-care need. The project must include scholarly research, an implementation model, measurable outcomes, ethical safeguards, an evaluation plan, and a successful oral defense.

DOCTORAL TRANSFER-CREDIT POLICY: The Doctor of Education and Doctor of Philosophy programs each require 120 semester credit hours. Students may transfer up to 40 semester credit hours of eligible graduate or doctoral coursework toward either degree. Transfer credit is not automatically awarded. Each request is evaluated individually according to: The academic level of the previous coursework; The relevance of the coursework to the doctoral curriculum; Course content and learning outcomes; Credit-hour equivalency; Grades earned; The age of the coursework; Official institutional documentation; The University's residency and transfer-credit policies. Accepted transfer credit may reduce the number of courses and the amount of time required to complete the degree. Students awarded the maximum 40 transfer credits will have 80 semester credit hours remaining in the 120-credit doctoral program. Comprehensive examinations, doctoral candidacy, doctoral residency, the applied doctoral project, dissertation research, and the final oral defense must ordinarily be completed through the University. These requirements may not be satisfied through transfer credit unless expressly permitted under a published University policy.

Program Facts

Program facts

Degree abbreviation
Ph.D. in Faith-Based Artificial Intelligence
Total program length
120 semester credit hours
Normal completion time
Three to six academic years, depending on approved transfer credit, enrollment status, academic progress, and completion of the doctoral project
Academic unit
College of Computer Science
Total credits
120
Duration
3 years

Program Description

Official program description

Learning Outcomes

Student learning outcomes

  • Analyze the ethical, social, and cultural impacts of artificial intelligence systems within global and local contexts.
  • Develop original, evidence-based research that contributes to the scholarly understanding of AI ethics and human-centric design.
  • Evaluate technical frameworks against criteria of biblical stewardship, social justice, and professional moral standards.
  • Design robust AI policy proposals that promote community empowerment and the protection of vulnerable stakeholders.
  • Integrate advanced data science methodologies with sociological insights to solve real-world problems in nonprofit and service-based environments.
  • Communicate complex technical concepts and ethical challenges to diverse audiences through professional writing and public scholarship.
  • Demonstrate servant leadership by leading interdisciplinary teams in the creation of socially responsible technology initiatives.

Admission Requirements

Admission and entry requirements

Applicants must hold a master's degree from an accredited institution with a minimum cumulative GPA of 3.0. Required application materials include a statement of purpose outlining research interests and alignment with the university's faith-based mission, official academic transcripts, three letters of recommendation from professional or academic references, and a curriculum vitae demonstrating relevant experience in computer science, ethics, or a closely related discipline.

Program Structure

Official program structure

Program Details

  • Total Credits: 120
  • Duration: 3 years
  • Degree Level: Doctorate

Semester-by-Semester Curriculum

Official course sequence

Year 1

Semester 1

13 credits
CodeCourse TitleCreditsPrerequisite
RES701Advanced Research Methodologies3None
View Description

This course covers quantitative and qualitative research design for doctoral students. It emphasizes the application of rigorous methods in technological evaluation. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

PHI710Foundations of Normative Ethics3None
View Description

This course explores central theories in normative ethics, including virtue ethics, deontology, and utilitarianism, as applied to contemporary dilemmas. It emphasizes the analytical rigor required for evaluating the moral implications of technological advancements in public life. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

AI705Foundations of Artificial Intelligence3None
View Description

This course provides an overview of AI technologies and machine learning architectures. It includes an analysis of how these tools impact societal functions. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

AI715Algorithmic Ethics and Bias4AI705
View Description

A deep dive into how algorithms reflect and amplify societal biases. Students develop techniques for bias detection and mitigation. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Semester 2

14 credits
CodeCourse TitleCreditsPrerequisite
SOC720Sociology of Technology3None
View Description

An examination of how technology shapes community relationships and structural outcomes. The course focuses on the intersection of innovation and social justice. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

RES710Statistical Analysis for Social Impact4RES701
View Description

Advanced statistical methods are utilized to evaluate the effectiveness of social programs. Focus is placed on data-driven decision-making for public benefit. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

LDR730Servant Leadership in Tech3None
View Description

Explores the model of servant leadership as applied to managing technical teams. Emphasis is placed on stewardship and humility in digital innovation. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

AI801Data Stewardship and Privacy4AI715
View Description

This course covers the legal and moral frameworks of data management. Students explore how to protect user privacy while maximizing the utility of data for public good. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Semester 3

14 credits
CodeCourse TitleCreditsPrerequisite
POL810Public Policy and AI Governance3SOC720
View Description

An analysis of regulatory environments surrounding artificial intelligence. Focuses on drafting policies that promote equitable access to technology. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

RES805Qualitative Inquiry for Social Good3RES701
View Description

Develops proficiency in interview, observation, and thematic analysis techniques. Focus is on understanding the lived experience of technology users. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

BUS820Nonprofit Resource Stewardship4None
View Description

Studies the management of resources within the context of non-profit operations. Focuses on financial and operational integrity in organizational management. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

AI815Human-Centric Design Thinking4AI715
View Description

Applies design thinking to the creation of accessible AI products. Emphasizes empathy and stakeholder engagement in the development process. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Year 2

Semester 4

10 credits
CodeCourse TitleCreditsPrerequisite
RES850Doctoral Dissertation Proposal3RES701, RES710
View Description

Students develop their research questions and methodologies for the final project. Focus is on the alignment of the research with program goals. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

LDR805Organizational Leadership and Capacity Building3THE710
View Description

This course examines evidence-based models of leadership development and the cultivation of sustainable organizational cultures within social impact sectors. Students analyze strategies for fostering institutional resilience and collective efficacy in diverse settings. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

SOC830Community Outreach and Engagement4SOC720
View Description

Focuses on best practices for collaborative efforts between academic institutions and community entities. Emphasizes capacity building and social impact. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Final Project Requirement

Final project requirement

Dissertation Research I

  • 4
  • RES850
  • AI850
  • Special Topics in Ethical AI
  • 3
  • AI715
  • MGT840
  • Strategic Organizational Management
  • 4
  • None
  • RES891

Dissertation Research II

  • 3
  • RES890
  • RES890 — Dissertation Research I: Independent research under faculty supervision. Focuses on data collection and preliminary analysis. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • AI850 — Special Topics in Ethical AI: Analysis of current trends and controversies in artificial intelligence. Encourages critical discourse regarding the future of technology. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • MGT840 — Strategic Organizational Management: Explores management theories for complex organizations. Focuses on scaling operations while maintaining core mission values. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • RES891 — Dissertation Research II: Continued research and systematic analysis of findings. Students refine their arguments and prepare for formal defense. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Dissertation Defense

  • 4
  • RES891
  • RES899
  • Final Dissertation Submission
  • 3
  • CAP900
  • LDR905
  • Professional Ethics Practicum
  • 3
  • None
  • SOC910
  • Sociocultural Impacts of Emerging Technology
  • 4
  • MIN805, THE710
  • CAP900 — Dissertation Defense: The final defense of the doctoral research before the committee. Demonstrates mastery of research, ethical application, and scholarly communication. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • RES899 — Final Dissertation Submission: Final review and submission of the dissertation manuscript. Includes formatting for publication and archival. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • LDR905 — Professional Ethics Practicum: A final synthesis of leadership and ethical principles. Students plan their ongoing contributions to professional communities. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • SOC910 — Sociocultural Impacts of Emerging Technology: This course investigates the intersection of technological innovation and sociocultural change, focusing on how systemic digital shifts influence human interaction and community cohesion. Students critically assess the long-term societal consequences of automated decision-making and digital connectivity. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Dissertation Requirement

  • The Dissertation serves as the culmination of the doctoral journey, representing an original contribution to the field of AI ethics. Candidates are required to conduct independent, rigorous research that addresses a significant problem at the intersection of artificial intelligence and social good, integrating scholarly literature with empirical or design-based methodologies. This project demands a high level of academic independence, requiring students to synthesize their mastery of technical concepts with ethical maturity and a commitment to stewardship. The scope of the work must demonstrate an advanced ability to navigate the complex interplay between algorithmic efficiency and the moral implications of technological deployment in society. The deliverables include a formal defense of the dissertation before a faculty committee, followed by the submission of a publishable research manuscript that reflects both deep subject-matter expertise and a commitment to faith-informed service. Through this process, students demonstrate that their academic pursuits are matched by a character grounded in integrity, demonstrating a readiness to impact the world as responsible stewards of emerging knowledge.
  • RES850Doctoral Dissertation Proposal3 credits

Graduation Requirements

Graduation and completion requirements

  • Candidates must achieve a minimum cumulative GPA of 3.0 throughout their doctoral coursework and complete all 120 credit hours, including the 35 transfer credits. Graduation requirements include the successful defense of the dissertation, demonstrating mastery of the discipline and readiness to apply research to complex ethical challenges. Furthermore, students must demonstrate alignment with the university’s spiritual formation goals through active participation in institutional community engagement activities and the successful completion of an ethical reflection portfolio. These requirements ensure that graduates leave the program not only as proficient scholars but as individuals prepared to lead with integrity, grace, and an unwavering commitment to the service of their communities. The integration of academic excellence with moral and spiritual maturity signifies that the candidate has internalized the responsibility to serve as a steward of technological progress within a faith-based context.

Career Opportunities

Career opportunities

Career Opportunities

  • Chief Ethics Officer in Technology Firms
  • Nonprofit Organization Program Director
  • Policy Advisor for AI Governance
  • Academic Faculty in Computing and Ethics
  • Social Impact Consultant
  • Research Scientist in Human-Centric AI
  • Community Development Strategy Lead

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 | Ph.D. in Faith-Based Artificial Intelligence
  • Total program length | 120 semester credit hours
  • Maximum approved transfer credit | Up to 40 semester credit hours
  • Minimum credits completed through the University after maximum transfer | 80 semester credit hours
  • Normal completion time | Three to six academic years, depending on approved transfer credit, enrollment status, academic progress, and completion of the doctoral project
  • Advanced faith-based artificial intelligence and specialization courses | 30 credit hours
  • Leadership, administration, and professional practice | 21 credit hours
  • Research methods and program evaluation | 18 credit hours
  • Professional application and doctoral residency | 15 credit hours
  • Advanced electives or concentration courses | 12 credit hours
  • Comprehensive examination and doctoral candidacy | 6 credit hours
  • Applied doctoral project and defense | 18 credit hours
  • Total | 120 semester credit hours
  • Code | Title | Credits | Prerequisites
  • RES701 | Advanced Research Methodologies | 3 | None
  • PHI710 | Foundations of Normative Ethics | 3 | None
  • AI705 | Foundations of Artificial Intelligence | 3 | None
  • Code | Title | Credits | Prerequisites
  • AI715 | Algorithmic Ethics and Bias | 4 | AI705
  • SOC720 | Sociology of Technology | 3 | None
  • RES710 | Statistical Analysis for Social Impact | 4 | RES701
  • LDR730 | Servant Leadership in Tech | 3 | None
  • Code | Title | Credits | Prerequisites
  • AI801 | Data Stewardship and Privacy | 4 | AI715
  • POL810 | Public Policy and AI Governance | 3 | SOC720
  • RES805 | Qualitative Inquiry for Social Good | 3 | RES701
  • BUS820 | Nonprofit Resource Stewardship | 4 | None
  • Code | Title | Credits | Prerequisites
  • AI815 | Human-Centric Design Thinking | 4 | AI715
  • RES850 | Doctoral Dissertation Proposal | 3 | RES701, RES710
  • LDR805 | Organizational Leadership and Capacity Building | 3 | THE710
  • SOC830 | Community Outreach and Engagement | 4 | SOC720
  • Code | Title | Credits | Prerequisites
  • RES890 | Dissertation Research I | 4 | RES850
  • AI850 | Special Topics in Ethical AI | 3 | AI715
  • MGT840 | Strategic Organizational Management | 4 | None
  • RES891 | Dissertation Research II | 3 | RES890
  • Code | Title | Credits | Prerequisites
  • CAP900 | Dissertation Defense | 4 | RES891
  • RES899 | Final Dissertation Submission | 3 | CAP900
  • LDR905 | Professional Ethics Practicum | 3 | None
  • SOC910 | Sociocultural Impacts of Emerging Technology | 4 | MIN805, THE710