This certificate will begin Fall 2026.
The Artificial Intelligence (AI) in Health Graduate Certificate prepares learners to understand, apply, and communicate AI and data-driven approaches in healthcare practice, research, education, and administration. Delivered fully online, the program emphasizes foundational AI concepts, ethical and responsible use of AI in health contexts, and effective communication of AI-related insights. The certificate is open to students from nursing, medicine, public health, computer science, health informatics, and related disciplines.
Program Learning Outcomes
Graduates of the Artificial Intelligence in Health Graduate Certificate will be prepared to:
- Explain foundational concepts in artificial intelligence and machine learning as applied to health and healthcare systems.
- Evaluate ethical, regulatory, and societal considerations related to AI use in health contexts.
- Apply AI-enabled tools and data-driven approaches to real-world challenges in healthcare practice, research, education, and administration.
- Communicate AI-related insights effectively to diverse professional and stakeholder audiences.
Curriculum Structure
The Artificial Intelligence in Health Graduate Certificate requires completion of 9 graduate credit hours, including two required core courses and one elective, allowing students to tailor the program to their professional interests or disciplinary background.
Total Credit Hours Required: 9 Credit Hours Minimum beyond the Bachelor's Degree
Please note: Artificial Intelligence (AI) in Health Graduate Certificate may be completed fully online, although not all elective options or program prerequisites may be offered online. Newly admitted students choosing to complete this program exclusively via UCF online classes may enroll with a reduction in campus-based fees.
Program Prerequisites
Bachelor's Degree
Degree Requirements
Core
6 Total Credits
- Complete the following:
- NGR6862 - Essentials of AI in Health (3)
- NGR6865 - AI Data Analysis and Research in Health (3)
Electives
3 Total Credits
- Complete at least 1 of the following:
- NGR6871 - Augmented, Virtual, and Mixed Realities in Healthcare (3)
- NGR7820 - Innovative Technologies in Healthcare (3)
Grand Total Credits: 9
Financial Information
Graduate students may receive financial assistance through fellowships, assistantships, tuition support, or loans. For more information, see the College of Graduate Studies Funding website, which describes the types of financial assistance available at UCF and provides general guidance in planning your graduate finances. The Financial Information section of the Graduate Catalog is another key resource.
Fellowship Information
Fellowships are awarded based on academic merit to highly qualified students. They are paid to students through the Office of Student Financial Assistance, based on instructions provided by the College of Graduate Studies. Fellowships are given to support a student's graduate study and do not have a work obligation. For more information, see UCF Graduate Fellowships, which includes descriptions of university fellowships and what you should do to be considered for a fellowship.
Certificate Outcomes
- Explain foundational concepts of artificial intelligence (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, translating technical results into actionable insights.
- Collaborate with interdisciplinary team members to lead or contribute to AI initiatives in health organizations, demonstrating professionalism and ethical responsibility.
The convergence of industry demand, academic innovation, and student interest strongly supports the development of a Certificate of AI in Health. Students are actively seeking programs that prepare them for the evolving healthcare landscape, and CON is responding with a flexible, career-oriented offering.
