University of Louisville
Certificate in Artificial Intelligence in Medicine
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $25.5K in total tuition, the Certificate in Artificial Intelligence in Medicine sits about 123% above the $11.4K average for AI certificate programs in our database β placing it in the 94th percentile on cost among the 236 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: A bachelor's degree in a STEM field such as computer science, engineering, or health sciences is required, along with a minimum GPA of 3.0 and basic proficiency in programming and mathematics. Relevant professional experience in healthcare or engineering is often preferred.
About This Program
A graduate certificate that trains medical professionals and engineers to apply machine learning and computational methods to medical data analysis. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.
Estimated total tuition is $25.5K, above the $11.4K average for AI certificate programs in our database and in the 94th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Gain machine learning skills to advance as Machine Learning Engineer in Healthcare AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.
Career Outcomes
Gain machine learning skills to advance as Machine Learning Engineer in Healthcare AI
- 1. AI Healthcare Analyst
- 2. Medical Imaging AI Specialist
- 3. Clinical Data Scientist
- 4. AI Bioengineering Consultant
What You'll Learn
- Implement machine learning models for medical data analysis and prediction.
- Analyze and process medical images using AI algorithms.
- Apply AI to bioengineering problems and healthcare research.
- Develop AI tools for diagnostics in pathology and radiomics.
Curriculum Highlights
Coursework includes machine learning in medicine, medical image computing, and biostatistics for healthcare applications.
Top Employers
Top employers include major hospital systems, medical device companies like Siemens Healthineers and GE Healthcare, pharmaceutical firms, and research institutions focused on health AI.
Admissions
A bachelor's degree in a STEM field such as computer science, engineering, or health sciences is required, along with a minimum GPA of 3.0 and basic proficiency in programming and mathematics. Relevant professional experience in healthcare or engineering is often preferred.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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