Artificial Intelligence in Health, Graduate Certificate
Department of Health Sciences
College of Health and Human Services
Pending Higher Learning Commission Approval.
The Artificial Intelligence (AI) in Health Graduate Certificate provides students with applied knowledge and skills at the intersection of healthcare, public health, and artificial intelligence. The program prepares learners to responsibly analyze health data, apply AI and analytics tools, and interpret data-driven insights to support ethical, evidence-based decision-making in healthcare and population health settings. Emphasis is placed on AI literacy, health analytics, patient privacy, algorithmic bias, and health equity. The certificate is delivered fully online and is designed for working professionals seeking advanced, career-aligned training in this rapidly evolving field.
The Artificial Intelligence in Health Graduate Certificate is designed for healthcare and health-adjacent professionals seeking to develop applied skills in artificial intelligence, analytics, and data-informed decision making. Students gain foundational and practical experience in biostatistics, programming for health analytics, applied health data analysis, and artificial intelligence in healthcare, with explicit attention to ethical, legal, and equity considerations.
The program is delivered fully online to support working professionals and learners seeking flexible pathways for graduate-level skill development. Coursework emphasizes applied, project-based learning using real-world healthcare and public health scenarios, preparing students to interpret, communicate, and apply AI-assisted insights across clinical, administrative, and population health contexts.
This certificate may be completed as a stand-alone credential or concurrently with a graduate degree program. It supports professional advancement for clinicians, public health professionals, health administrators, and technical professionals entering healthcare-focused roles.
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- Graduate certificate programs require a minimum of 12 credit hours. Many graduate certificate programs require more than 12 credit hours.
- No more than one 400-level NAU course (3 - 4 units) may be used on a graduate certificate program.
- No more than twenty-five percent of the units required for the certificate program may be transferred from another university.
- A 400-level course (undergraduate course) completed at another university is not eligible for transfer credit.
- A minimum grade point average of 3.0 must be achieved to obtain a graduate certificate. No more than three units of coursework with a Grade of "C" may be used in a certificate program.
- A graduate student may pursue a graduate certificate concurrently with a graduate degree. Each graduate degree program must decide which, if any, certificate courses can be counted toward the graduate degree.
- Students who are admitted to a graduate certificate program will be eligible for the official posting of the graduate certificate to their transcripts when all applicable coursework has been successfully completed and approved by the academic unit and the Office of Graduate and Professional Studies.
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Federal financial aid is not available for some certificates if the certificate is pursued and completed as a stand-alone certificate (i.e., not completed concurrently with a degree program). See the “Details” tab for additional information.
In addition to University Requirements:
- Complete individual plan requirements.
Students may be able to use some courses to meet more than one requirement. Contact your advisor for details.
| Minimum Units for Completion | 13 |
| Some online/blended coursework | Required |
Purpose Statement
The Artificial Intelligence in Health Graduate Certificate prepares healthcare and health-adjacent professionals to responsibly apply artificial intelligence and advanced analytics within clinical, public health, and organizational contexts. Situated at the intersection of health sciences, data analytics, and ethical decision making, the program provides students with foundational and applied knowledge in biostatistics, programming for health analytics, applied health data analysis, and artificial intelligence in healthcare.
Through applied, project-based learning experiences, students develop technical fluency in data interpretation, AI-assisted decision making, and health analytics while also strengthening critical competencies in ethical reasoning, legal compliance, and equity-centered practice. Emphasis is placed on understanding algorithmic bias, patient privacy, data governance, and the responsible use of emerging technologies within complex healthcare systems. The fully online format supports working professionals and learners seeking flexible, career-aligned graduate credentials.
This certificate prepares graduates for advanced roles in healthcare analytics, clinical and administrative decision support, public health practice, and health technology implementation. It is designed for clinicians, health administrators, public health professionals, and technical professionals entering healthcare who seek to lead ethically in AI-enabled environments. The program supports NAU's mission to expand access to transformative graduate education while serving Arizona's diverse, rural, and underserved communities through workforce-responsive and socially responsible innovation.
Student Learning Outcomes
- Apply biostatistical and health analytics methods to interpret, analyze, and communicate healthcare and population health data in support of evidence-based decision-making.
- Use programming tools and analytic techniques to manipulate, analyze, and visualize health-related data for clinical, administrative, and public health applications.
- Evaluate and apply artificial intelligence and machine learning approaches in healthcare settings, recognizing appropriate use cases, limitations, and potential impacts on patients and populations.
- Assess ethical, legal, and equity considerations related to AI in health, including data privacy, algorithmic bias, and responsible technology governance.
- Translate data-driven and AI-assisted insights into clear, actionable recommendations for diverse stakeholders across healthcare and public health systems.
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The NAU graduate online application is required for all programs. Admission to many graduate programs is on a competitive basis, and programs may have higher standards than those established by the Office of Graduate and Professional Studies.
Admission requirements include the following:- Transcripts.
- Undergraduate degree from a regionally accredited institution with a 3.0 GPA on a 4.0 scale ("A" = 4.0), or the equivalent.
Visit the NAU Graduate Admissions website for additional information about graduate school application deadlines, eligibility for study, and admissions policies.
Ready to apply? Begin your application now.International applicants have additional admission requirements. Please see the International Graduate Admissions Policy.
Certificate Requirements
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This certificate may be pursued and completed concurrently with a degree program or as a stand-alone certificate. Federal financial aid cannot be used if the certificate is completed as a stand-alone certificate.
Additional Information
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Some courses may have prerequisites. For prerequisite information, click on the course or see your advisor.