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Doctorate of Science in Faith-Based Data Science, Specialization in Analytics for Social Impact

Academic unitCollege of Computer ScienceTotal credits120Estimated duration3 yearsSource documentDoctorate_of_Science_in_Faith_Based_Data_Science__Specialization_in_Analytics_fo.docx

Program Overview

Official program overview

Program Overview

Degree abbreviation

Ed.D. in Faith-Based Data Science

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 data science 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 Doctorate of Science in Faith-Based Data Science with a specialization in Analytics for Social Impact is a rigorous, research-oriented program designed for professionals seeking to leverage advanced computational methods for societal betterment. The curriculum integrates high-level technical proficiency in data analytics, machine learning, and predictive modeling with a robust framework of ethical decision-making, stewardship, and organizational leadership. Students engage in deep inquiry to address complex social challenges through data-driven strategies that honor human dignity and communal welfare.

By emphasizing the intersection of technical excellence and servant leadership, this program equips scholars to transform raw information into actionable wisdom. The pedagogy encourages a multidisciplinary approach where computational rigor serves as a tool for justice and restoration. Graduates emerge prepared to design scalable solutions that reflect a commitment to the common good and the responsible management of technological resources within diverse organizational landscapes.

The Doctor of Education in Faith-Based Data Science is an applied professional doctorate emphasizing advanced faith-based data science 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 data science-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 Data Science
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 complex social datasets using advanced statistical and machine learning methodologies.
  • Evaluate the ethical implications of algorithmic decision-making through the lens of stewardship and human flourishing.
  • Design data-driven interventions that address systemic challenges within community-based organizations.
  • Communicate complex technical findings to diverse stakeholders to promote organizational mission alignment.
  • Integrate principles of servant leadership and ethical reasoning into professional computational research.
  • Develop original research that contributes to the field of data science while addressing pressing social concerns.

Admission Requirements

Admission and entry requirements

Applicants must hold a master's degree in a relevant field such as Data Science, Computer Science, Statistics, or Information Systems from an accredited institution with a minimum cumulative GPA of 3.0. Candidates must submit a formal application, academic transcripts, three letters of recommendation, a personal statement detailing their research interests and alignment with the program’s faith-informed mission, and a professional resume or curriculum vitae.

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

12 credits
CodeCourse TitleCreditsPrerequisite
RES701Foundations of Ethical Research3None
View Description

An exploration of research design, methodology, and the ethical foundations of inquiry in a faith-based context. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

DAT705Advanced Statistical Modeling3None
View Description

Advanced topics in linear models, multivariate analysis, and probability for social impact data. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

LDR710Servant Leadership in Tech3None
View Description

Theoretical and practical approaches to leading technical teams with a servant leadership mindset. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

DAT720Machine Learning for Social Good3DAT705
View Description

Application of supervised and unsupervised learning algorithms to solve social challenges. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Semester 2

13 credits
CodeCourse TitleCreditsPrerequisite
RES730Qualitative Research Methods3RES701
View Description

Techniques for mixed-methods research, including ethnography and interviews in community settings. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

ETH740Digital Stewardship and Ethics3LDR710
View Description

Examining data privacy, algorithmic fairness, and the stewardship of digital assets. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

DAT750Big Data Infrastructures3DAT705
View Description

Overview of scalable data architectures, cloud computing, and database management. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

DAT800Predictive Analytics for Impact4DAT720
View Description

Predictive modeling and scenario analysis to measure the impact of community interventions. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Semester 3

16 credits
CodeCourse TitleCreditsPrerequisite
COM810Data Visualization and Narrative4DAT720
View Description

Effective visual communication of analytical results for non-technical leadership and community stakeholders. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

SOC820Community Dynamics and Analytics4RES730
View Description

Analyzing social networks and community structures to foster engagement and growth. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

BUS830Organizational Stewardship4LDR710
View Description

Strategic management of resources in mission-driven organizations to ensure long-term sustainability. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

RES850Doctoral Research Seminar I4RES730
View Description

Initial development of the dissertation topic and preliminary literature review. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Year 2

Semester 4

16 credits
CodeCourse TitleCreditsPrerequisite
DAT860Advanced Natural Language Processing4DAT800
View Description

Computational analysis of text for understanding sentiment and trends in social discourse. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

ETH870Public Policy and Data4ETH740
View Description

The intersection of data science and public policy through the lens of Christian citizenship. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

DAT880Special Topics in Analytics4DAT800
View Description

Deep dive into emerging technological trends relevant to community service and social impact. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

RES890Doctoral Research Seminar II4RES850
View Description

Advanced stage of dissertation proposal development and data collection preparation. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Semester 5

12 credits
CodeCourse TitleCreditsPrerequisite
DAT895Evaluation of Social Impact Programs4DAT800
View Description

Methodologies for evaluating the efficacy of nonprofit and faith-based community initiatives. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

MGT898Strategic Implementation of Analytics4BUS830
View Description

Practical challenges of implementing data-driven organizational change. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

RES899Independent Directed Research4RES850
View Description

Focused investigation supporting the development of the dissertation. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Final Project Requirement

Final project requirement

Dissertation

  • 10
  • RES890
  • TEC910
  • Emerging Technologies and Societal Trends
  • 3
  • ETH740
  • LDR920
  • Leadership Capstone Seminar
  • 3
  • LDR710
  • DAT930

Capstone Integration Review

  • 3
  • CAP900
  • CAP900 — Dissertation: Original, independent research demonstrating mastery of technical analytics and ethical stewardship in practice. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • TEC910 — Emerging Technologies and Societal Trends: This course examines the long-term societal implications of rapidly evolving technological frameworks and their integration into social infrastructures. Students analyze historical patterns of technological adoption to forecast future challenges in equity, privacy, and community development. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • LDR920 — Leadership Capstone Seminar: Integrating leadership theory with the doctoral experience for continued professional service. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
  • DAT930 — Capstone Integration Review: Comprehensive review of the integration of analytics, ethics, and mission-driven service. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Dissertation Requirement

  • The Dissertation serves as the culminating academic experience of the program, requiring students to conduct original, independent research that contributes significant knowledge to the field of data science and social impact. This process involves the formulation of a research problem, rigorous data collection and analysis, and the defense of findings before a faculty committee. The scope of the work must demonstrate mastery of both technical computational skills and advanced conceptual research methods, culminating in a substantial written document.
  • Integrating the faith-based mission of the university, the Dissertation necessitates a substantive reflection on ethical responsibility and stewardship. Students are expected to ground their research in ethical frameworks that prioritize human dignity, social justice, and the responsible use of information. This final project acts as the definitive assessment of the candidate's capacity to engage in scholarly inquiry that serves the community with integrity and reflects a commitment to the common good. The project is weighted at 10 credit hours and requires the demonstration of both high-level academic competence and evidence of character development as a leader in the field.

Graduation Requirements

Graduation and completion requirements

  • Graduation requires the successful completion of 120 credit hours with a minimum cumulative GPA of 3.0 and no grade lower than a 'B' in any doctoral course. Students must demonstrate proficiency in both technical analytics and the integration of ethical, faith-informed perspectives into their research and professional practice. The final requirement is the successful defense and submission of the dissertation, which must be approved by the faculty and university review committee.
  • Beyond academic success, candidates must participate in spiritual formation and character development activities, including periodic community service and engagement in institutional mentorship programs. These expectations reflect the university’s commitment to producing graduates who pair their technical expertise with moral maturity and ethical integrity. Candidates must verify their completion of these formative experiences to confirm their readiness for continued faith-informed service within their respective professional sectors.

Career Opportunities

Career opportunities

Career Opportunities

  • Director of Data Strategy for Nonprofits
  • Social Impact Data Scientist
  • Director of Institutional Research
  • Computational Social Scientist
  • Ethical Analytics Consultant
  • Nonprofit Research and Evaluation Specialist
  • Policy Analyst for Faith-Based 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 Data Science
  • 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 data science 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 | Foundations of Ethical Research | 3 | None
  • DAT705 | Advanced Statistical Modeling | 3 | None
  • LDR710 | Servant Leadership in Tech | 3 | None
  • Code | Title | Credits | Prerequisites
  • DAT720 | Machine Learning for Social Good | 3 | DAT705
  • RES730 | Qualitative Research Methods | 3 | RES701
  • ETH740 | Digital Stewardship and Ethics | 3 | LDR710
  • DAT750 | Big Data Infrastructures | 3 | DAT705
  • Code | Title | Credits | Prerequisites
  • DAT800 | Predictive Analytics for Impact | 4 | DAT720
  • COM810 | Data Visualization and Narrative | 4 | DAT720
  • SOC820 | Community Dynamics and Analytics | 4 | RES730
  • BUS830 | Organizational Stewardship | 4 | LDR710
  • Code | Title | Credits | Prerequisites
  • RES850 | Doctoral Research Seminar I | 4 | RES730
  • DAT860 | Advanced Natural Language Processing | 4 | DAT800
  • ETH870 | Public Policy and Data | 4 | ETH740
  • DAT880 | Special Topics in Analytics | 4 | DAT800
  • Code | Title | Credits | Prerequisites
  • RES890 | Doctoral Research Seminar II | 4 | RES850
  • DAT895 | Evaluation of Social Impact Programs | 4 | DAT800
  • MGT898 | Strategic Implementation of Analytics | 4 | BUS830
  • RES899 | Independent Directed Research | 4 | RES850
  • Code | Title | Credits | Prerequisites
  • CAP900 | Dissertation | 10 | RES890
  • TEC910 | Emerging Technologies and Societal Trends | 3 | ETH740
  • LDR920 | Leadership Capstone Seminar | 3 | LDR710
  • DAT930 | Capstone Integration Review | 3 | CAP900