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Doctor of Philosophy in Faith-Based Mathematics in Education

Academic unitCollege of Science and Social ScienceTotal credits120Estimated duration3 yearsSource documentDoctor_of_Philosophy_in_Faith_Based_Mathematics_in_Education.docx

Program Overview

Official program overview

Program Overview

Degree abbreviation

Ed.D. in Faith-Based Applied Mathematics

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 applied mathematics 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 Applied Mathematics with a specialization in Data Analysis Research is a rigorous, research-intensive program designed to prepare scholars for advanced contributions in the fields of quantitative analysis and computational modeling. The curriculum provides a deep exploration of complex mathematical theories and data-driven methodologies, balanced by a rigorous framework of ethical inquiry and principled decision-making. Students engage in high-level scholarly research, applying advanced mathematical concepts to address contemporary societal challenges with a focus on integrity, stewardship, and the promotion of human flourishing.

The Doctor of Education in Faith-Based Applied Mathematics is an applied professional doctorate emphasizing advanced faith-based applied mathematics 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 applied mathematics-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
Ed.D. in Faith-Based Applied Mathematics
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 Science and Social Science
Total credits
120
Duration
3 years

Program Description

Official program description

Learning Outcomes

Student learning outcomes

  • Analyze complex data structures using advanced statistical and mathematical modeling techniques.
  • Evaluate the ethical implications of algorithmic decision-making and data collection within diverse organizational contexts.
  • Develop original, peer-reviewed quality research that addresses specific, practical problems within community-focused sectors.
  • Integrate biblical stewardship and servant leadership principles into the application of data analytics and computational research.
  • Communicate complex mathematical findings effectively to non-technical stakeholders to influence organizational policy and service delivery.
  • Demonstrate advanced competency in computational software and research methodologies through the completion of an original doctoral dissertation.

Admission Requirements

Admission and entry requirements

Applicants must hold a conferred Master’s degree from an accredited institution in mathematics, statistics, data science, or a closely related quantitative field. A cumulative graduate GPA of 3.0 or higher is required, alongside the submission of official transcripts, three professional or academic letters of recommendation, a statement of purpose outlining research interests, and a professional resume. Applicants must demonstrate a strong alignment with the institutional mission and a commitment to integrating scholarly excellence with faith-based values.

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
RES700Advanced Research Methods in Quantitative Science3None
View Description

An exploration of rigorous research design, quantitative data collection, and analytical methodologies. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

THE701Ethical Frameworks in Computational Research3None
View Description

This course examines the moral dimensions of data management, algorithmic bias, and technology stewardship. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

MAT705Advanced Statistical Inference3None
View Description

Deep study of distribution theory, hypothesis testing, and maximum likelihood estimation. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

MAT710Computational Mathematical Modeling4MAT705
View Description

Application of numerical methods and simulation to real-world datasets for improved decision support. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Semester 2

14 credits
CodeCourse TitleCreditsPrerequisite
RES715Quantitative Policy Analysis4RES700
View Description

Advanced investigation of how mathematical models influence social and community service policies. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

BUS720Stewardship and Financial Analytics3None
View Description

Exploration of resource allocation models to optimize organizational impact and financial health. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

MAT725Linear Algebra for Data Science3None
View Description

Advanced study of matrices and vector spaces with direct applications in multivariate data analysis. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

MAT800Stochastic Processes and Predictive Analysis4MAT710
View Description

Analysis of temporal data and future forecasting techniques for non-profit program planning. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Semester 3

10 credits
CodeCourse TitleCreditsPrerequisite
RES805Advanced Multivariate Statistics4RES715
View Description

Examination of cluster analysis, factor analysis, and structural equation modeling. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

ORG810Organizational Leadership and Governance in Nonprofits3None
View Description

This course examines the principles of organizational theory, governance, and management strategies within the nonprofit sector. Students analyze leadership models for capacity building and resource sustainability. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

MAT815Machine Learning for Social Impact3MAT725
View Description

Focus on supervised and unsupervised learning techniques to solve community-focused social problems. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Final Project Requirement

Final project requirement

Dissertation Seminar I: Proposal Design

  • 4
  • RES805
  • MAT825
  • Data Visualization for Community Advocacy
  • 3
  • None
  • RES830
  • Big Data and Cloud Computing Applications
  • 3
  • MAT815
  • SOC835
  • Sociology of Work and Professional Development
  • 3
  • None
  • RES820 — Dissertation Seminar I: Proposal Design: Developing the research problem statement and literature review for the doctoral dissertation. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • MAT825 — Data Visualization for Community Advocacy: Techniques for presenting data to influence stakeholders and donor communities. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • RES830 — Big Data and Cloud Computing Applications: Utilizing scalable computing resources to process large social and demographic datasets. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • SOC835 — Sociology of Work and Professional Development: This course explores the sociological dimensions of professional identity, workforce trends, and the intersection of individual labor with social contribution. It focuses on the evolving nature of professional commitment and social responsibility. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Dissertation Seminar II: Data Collection

  • 4
  • RES820
  • MAT905
  • Advanced Bayesian Analysis
  • 3
  • MAT800
  • RES910
  • Qualitative-Quantitative Mixed Methods
  • 3
  • RES805
  • BUS915
  • Strategy and Institutional Planning
  • 3
  • BUS720
  • RES900 — Dissertation Seminar II: Data Collection: Execution of research protocols and gathering of empirical data for the dissertation project. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • MAT905 — Advanced Bayesian Analysis: Use of Bayesian inference models for decision-making under conditions of high uncertainty. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • RES910 — Qualitative-Quantitative Mixed Methods: Integrating descriptive research with mathematical models to provide a holistic view of human service impact. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • BUS915 — Strategy and Institutional Planning: Strategic use of quantitative metrics in high-level institutional planning and governance. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Dissertation Finalization and Defense

  • 4
  • RES900
  • MAT920
  • Emerging Technologies in Data Science
  • 3
  • MAT905
  • MIN925
  • Servant Leadership in Academic Settings
  • 3
  • MIN810
  • RES930
  • Advanced Computational Research Residency
  • 3
  • RES900
  • RES6000
  • Doctor of Philosophy in Faith-Based Mathematics in Education Prior Learning
  • 30
  • 30 credit hours
  • RES999 — Dissertation Finalization and Defense: Final analysis, documentation, and oral defense of the doctoral dissertation. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • MAT920 — Emerging Technologies in Data Science: Survey of current industry trends and their potential for advancing mission-focused service work. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • MIN925 — Servant Leadership in Academic Settings: Integrating scholarly leadership with the practice of community care and mentorship. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • RES930 — Advanced Computational Research Residency: Applied research experience focused on solving current issues in an organizational context. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • RES6000 — Doctor of Philosophy in Faith-Based Mathematics in Education Prior Learning: This is a prior learning course for professionals who are in the education field and whats to connect with the faith-based education community, who holds a master degree; to be accepted into the program, the student must have 30 credit hours and meet all other requirements

Dissertation Requirement

  • The Dissertation serves as the culmination of the doctoral journey, requiring candidates to identify a significant research problem, conduct original empirical analysis, and contribute new knowledge to the intersection of applied mathematics and organizational service. The process is designed to be a comprehensive synthesis of technical prowess and theological reflection, ensuring that all research efforts are rooted in ethical integrity and a commitment to societal stewardship. Students work closely with a faculty committee to design and execute a study that addresses a real-world issue, culminating in a formal defense of their findings.
  • Beyond technical rigor, the dissertation requires an integrative chapter or section that explicitly articulates how the student’s findings align with faith-informed character development, service to the community, and the promotion of the common good. The project assesses not only the candidate's mastery of advanced mathematical tools but also their ability to navigate complex ethical landscapes with the humility and servant-oriented focus essential to leaders in faith-based environments.

Graduation Requirements

Graduation and completion requirements

  • To qualify for the conferral of the Ph.D. degree, students must successfully complete all 120 credit hours with a minimum cumulative grade point average of 3.0. In addition to technical coursework, students must complete a formal dissertation, which must be defended successfully before a faculty committee. Graduation signifies not only the achievement of high-level academic standards but also the realization of institutional expectations regarding spiritual maturity and professional ethics.
  • Graduation requirements include active participation in departmental spiritual formation activities, evidence of engagement in community service, and affirmation of the university’s commitment to ethical conduct. The degree confirms the candidate’s readiness to serve as a steward of knowledge, blending sophisticated data analysis capabilities with the moral character, spiritual resilience, and service-oriented heart required to contribute effectively to faith-based and global community missions.

Career Opportunities

Career opportunities

Career Opportunities

  • Director of Institutional Research for Nonprofit Agencies
  • Senior Data Scientist for Faith-Based Community Development Organizations
  • Quantitative Consultant for Global Humanitarian Foundations
  • Academic Researcher in Computational Ethics and Applied Mathematics
  • Strategic Analyst for Ministry-Based Social Service Programs
  • Policy Consultant for Community Engagement Initiatives
  • Data Strategy Leader for Educational Outreach Organizations

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 | Ed.D. in Faith-Based Applied Mathematics
  • 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 applied mathematics 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
  • RES700 | Advanced Research Methods in Quantitative Science | 3 | None
  • THE701 | Ethical Frameworks in Computational Research | 3 | None
  • MAT705 | Advanced Statistical Inference | 3 | None
  • Code | Title | Credits | Prerequisites
  • MAT710 | Computational Mathematical Modeling | 4 | MAT705
  • RES715 | Quantitative Policy Analysis | 4 | RES700
  • BUS720 | Stewardship and Financial Analytics | 3 | None
  • MAT725 | Linear Algebra for Data Science | 3 | None
  • Code | Title | Credits | Prerequisites
  • MAT800 | Stochastic Processes and Predictive Analysis | 4 | MAT710
  • RES805 | Advanced Multivariate Statistics | 4 | RES715
  • ORG810 | Organizational Leadership and Governance in Nonprofits | 3 | None
  • MAT815 | Machine Learning for Social Impact | 3 | MAT725
  • Code | Title | Credits | Prerequisites
  • RES820 | Dissertation Seminar I: Proposal Design | 4 | RES805
  • MAT825 | Data Visualization for Community Advocacy | 3 | None
  • RES830 | Big Data and Cloud Computing Applications | 3 | MAT815
  • SOC835 | Sociology of Work and Professional Development | 3 | None
  • Code | Title | Credits | Prerequisites
  • RES900 | Dissertation Seminar II: Data Collection | 4 | RES820
  • MAT905 | Advanced Bayesian Analysis | 3 | MAT800
  • RES910 | Qualitative-Quantitative Mixed Methods | 3 | RES805
  • BUS915 | Strategy and Institutional Planning | 3 | BUS720
  • Code | Title | Credits | Prerequisites
  • RES999 | Dissertation Finalization and Defense | 4 | RES900
  • MAT920 | Emerging Technologies in Data Science | 3 | MAT905
  • MIN925 | Servant Leadership in Academic Settings | 3 | MIN810
  • RES930 | Advanced Computational Research Residency | 3 | RES900
  • RES6000 | Doctor of Philosophy in Faith-Based Mathematics in Education Prior Learning | 30 | 30 credit hours