Online Artificial Intelligence (AI) in Health Certificate
Artificial intelligence (AI) is rapidly transforming healthcare, with approximately 80% of healthcare organizations already using AI‑enabled applications—and adoption continues to accelerate.
Position yourself at the forefront of this transformation by earning a fully online graduate certificate from UCF’s College of Nursing. The Artificial Intelligence (AI) in Health Graduate Certificate equips healthcare professionals with both foundational and applied knowledge of AI across clinical, research, administrative, and health system settings.
Innovative and interdisciplinary by design, this certificate is open to professionals across healthcare fields and prepares learners to evaluate, apply, and clearly communicate AI‑enabled solutions that improve care delivery, decision‑making, and organizational performance.
| Deadline: | July 1 |
| Program Length: | Part-time |
| Program Type: | Fully online and asynchronous |
| Credit Hours: | 9 |
| Curriculum: | Two new core courses plus one approved elective course. |
| Other Details: | No GRE requirement. Open to all healthcare professionals with a bachelor’s degree. |
Curriculum Overview
- Core Courses: NGR 6862 Essentials of AI in Health and NGR 6865 AI Data Analysis and Research in Health.
- Choose from one elective:
- NGR 5871: Health Care Informatics
- NGR 6871: Augmented, Virtual, and Mixed Realities in Healthcare, or
- NGR 7820: Innovative Technologies in Healthcare
Additional collaboration opportunities may emerge through related interdisciplinary programs, including engineering and data science.
Learning Outcomes
- Explain foundational concepts of AI and machine learning as applied to health, including key algorithms, generative AI, and digital health technologies.
- Critically evaluate ethical, legal, and regulatory implications of AI in health, including bias, fairness, privacy, and data governance.
- Apply AI tools and data analysis to real-world health challenges such as clinical decision support and predictive modeling.
- Implement data-driven solutions to enhance patient outcomes, operational efficiency, and healthcare delivery.
- Communicate analytic findings effectively to diverse stakeholders by translating technical results into actionable insights.
- Collaborate with interdisciplinary team members to lead or contribute to AI initiatives in health organizations with professionalism and ethical responsibility.
This certificate is designed for healthcare professionals who want practical and ethical preparation in applying AI in health settings. It is especially relevant for professionals or graduate learners in nursing, medicine, public health, health informatics, and related fields who want to build competency in data-driven decision-making, predictive modeling, digital health, and responsible AI use.
Applicants will need to have earned a bachelor’s degree or higher in any applicable field, and a BSN (bachelor’s degree in nursing) is one acceptable degree.
This certificate is best suited for learners who want focused preparation in AI applications in health without committing immediately to a full graduate degree centered on another specialty.
Tuition and fees will vary by academic year and state residency status. Visit the tuition and fees page to view current information.
No, all courses are offered online and in an asynchronous mode (no specific class meeting times).
Yes, this program is online and available to applicants outside of Florida.
The certificate is designed with working professionals and graduate learners in mind and is offered in a flexible, part‑time, fully online format. While the program is structured to accommodate professional responsibilities, coursework in artificial intelligence, analytics, ethics, and applied problem solving does require consistent weekly study time and active engagement.
Visit the Graduate Certificate Admissions page for details on the application process and requirements.