Certificate in Faith Based Data Analyst (Mining) – AI Integrated - Stewardship, Ethical Mining Track

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 College of Earth Science and Industrial Technology

Total credits

18

Duration

1 years

• Analyze complex datasets using advanced mining techniques to identify trends and operational inefficiencies.
• Integrate artificial intelligence tools to automate data processing while maintaining strict ethical and privacy standards.
• Evaluate the impact of data management practices through the lens of biblical stewardship and organizational accountability.
• Design data visualization strategies that communicate findings effectively to stakeholders within nonprofit settings.
• Apply ethical reasoning to mitigate bias and ensure fairness in algorithmic decision-making processes.
• Demonstrate servant leadership through the responsible handling and stewardship of organizational information assets.
• Course Outline
• Semester 1 — Year 1
• Code
• Title
• Credits
• Prerequisites
• BUS110
• Introduction to Data Management
• 2
• None
• MAT150
• Applied Statistical Analysis
• 2
• None
• TEC205
• Data Mining Fundamentals
• 2
• MAT150
• ETH210
• Ethics in Information Stewardship
• 3
• None
• BUS110 — Introduction to Data Management: This course covers the fundamentals of data structures and the organizational importance of information governance. Students explore best practices for data security and integrity. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• MAT150 — Applied Statistical Analysis: An introduction to statistical methods, including descriptive statistics, probability, and hypothesis testing. Emphasis is placed on the application of these tools in real-world nonprofit environments. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• TEC205 — Data Mining Fundamentals: Students examine the techniques and algorithms used for discovering patterns in large datasets. The course covers clustering, classification, and association rule mining. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• ETH210 — Ethics in Information Stewardship: This course explores the philosophical and biblical foundations of data ethics and stewardship. Topics include privacy, algorithmic bias, and the responsibility of the analyst to the community. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• Semester 2 — Year 1
• Code
• Title
• Credits
• Prerequisites
• TEC310
• Artificial Intelligence in Analytics
• 3
• TEC205
• BUS320
• Strategic Data Visualization
• 2
• MAT150
• COM350
• Leadership in Data-Driven Organizations
• 2
• None
• CAP400
• Capstone: Ethical Mining Project
• 2
• All Core Courses
• TEC310 — Artificial Intelligence in Analytics: An exploration of machine learning and AI applications in organizational data mining. Students gain hands-on experience in using AI tools to streamline decision-making. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• BUS320 — Strategic Data Visualization: This course focuses on the art and science of presenting analytical findings to diverse stakeholders. Students develop visual dashboards and reports to guide organizational strategy. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• COM350 — Leadership in Data-Driven Organizations: Students examine the intersection of leadership, technology, and organizational growth. Emphasis is placed on servant leadership and fostering collaborative environments for data success. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.
• CAP400 — Capstone: Ethical Mining Project: The culminating project where students apply all program skills to a practical data mining initiative for a nonprofit partner. The project includes technical analysis, ethical assessment, and a final presentation. This course prepares students in supporting faith-based, nonprofit, community organizations' missions.

Applicants must possess a high school diploma or equivalent, with preference given to individuals demonstrating prior academic success in quantitative or business-related disciplines. Prospective students are required to submit official transcripts and a personal statement articulating their commitment to ethical stewardship and their interest in applying data analytics within mission-focused environments. Culminating Project The Capstone Project serves as the culminating academic experience for the Certificate, requiring students to execute a comprehensive data mining project that addresses a genuine operational challenge within a nonprofit or faith-based organization. Students must identify a data-driven problem, clean and analyze the necessary datasets, and propose a solution that aligns with the organization's mission and ethical guidelines. This project requires the synthesis of technical skills, statistical rigor, and the servant-leadership principles developed throughout the curriculum. Beyond technical mastery, the Capstone integrates faith-based perspectives by mandating a reflection on how the chosen analytical approach reflects the values of stewardship, justice, and the common good. Students are expected to demonstrate how their data-informed recommendations contribute to the organizational health and mission-forward success of their community partners. The final deliverable consists of a detailed technical report and a formal presentation, showcasing both the student's academic competence and their commitment to acting as an ethically grounded professional in a data-driven world.

• To qualify for the certificate, students must successfully complete all 18 credit hours with a cumulative GPA of at least 2.0. Graduates must demonstrate mastery of the required course material and receive a passing grade on the capstone project, which evaluates their ability to bridge technical analytical skills with the practical demands of organizational stewardship and integrity.
• In addition to academic benchmarks, the program requires participants to engage in institutional character development and community service components. These requirements ensure that graduates leave the program not only as proficient data analysts but also as individuals committed to spiritual maturity and high ethical integrity. This holistic approach prepares graduates to apply their professional expertise as a form of service to their communities, ensuring they are ready to contribute effectively to the mission-driven initiatives they encounter in their professional careers.
• Career Opportunities
• Nonprofit Data Analyst
• Faith-Based Stewardship Coordinator
• Institutional Research Assistant
• Community Outreach Data Specialist
• Mission-Driven Program Evaluator
• Database Management Associate
• 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 Data Analyst (Mining) – AI Integrated - Stewardship, Ethical Mining Track
• Total program length | 18 semester credit hours
• Normal completion time | Six to nine months
• General education | Not required
• Foundational faith-based data mining courses | 12 credit hours
• Professional application courses | 3 credit hours
• Final applied project | 3 credit hours
• Code | Title | Credits | Prerequisites
• BUS110 | Introduction to Data Management | 2 | None
• MAT150 | Applied Statistical Analysis | 2 | None
• TEC205 | Data Mining Fundamentals | 2 | MAT150
• ETH210 | Ethics in Information Stewardship | 3 | None
• Code | Title | Credits | Prerequisites
• TEC310 | Artificial Intelligence in Analytics | 3 | TEC205
• BUS320 | Strategic Data Visualization | 2 | MAT150
• COM350 | Leadership in Data-Driven Organizations | 2 | None
• CAP400 | Capstone: Ethical Mining Project | 2 | All Core Courses