University of Louisville

How this program compares

At an estimated $25.5K in total tuition, the Online MS in Artificial Intelligence in Medicine sits roughly 40% below the $42.4K average for AI master's programs in our database — placing it in the 36th percentile on cost among the 531 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: Applicants should hold a bachelor's degree in a STEM field or related discipline, with a minimum GPA of 3.0 and demonstrated background in mathematics, computer science, or data science. The program typically requires evidence of professional interest in healthcare applications of AI, though standardized test scores (GRE) may be optional depending on academic background.

About This Program

A 100% online master's program designed for healthcare professionals to master the application of AI and machine learning in medicine. Coursework concentrates on Health AI and AI Engineering / Applied AI. Most students complete it in about 2 years.

Estimated total tuition is $25.5K, below the $42.4K average for AI master's programs in our database and in the 36th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Lead as Machine Learning Engineer in Healthcare AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $125,000.

Career Outcomes

Lead as Machine Learning Engineer in Healthcare AI with machine learning expertise

• 1. AI/ML Healthcare Data Scientist
• 2. Clinical AI Systems Developer
• 3. Medical Imaging AI Specialist
• 4. Healthcare AI Research Scientist

What You'll Learn

• Design and implement machine learning models for medical imaging, diagnostics, and clinical decision support systems
• Apply biostatistics and data mining techniques to healthcare research and improve patient outcomes
• Develop AI solutions for specialized medical domains including radiomics, digital pathology, and bioengineering applications
• Evaluate ethical, regulatory, and clinical considerations when deploying AI technologies in healthcare settings

Curriculum Highlights

The curriculum consists of 10 courses covering core topics like medical image computing, biostatistics, and AI in bioengineering.

Top Employers

Top employers include major healthcare systems, pharmaceutical research organizations, medical device manufacturers (such as Siemens Healthineers and GE Healthcare), and healthcare AI-focused companies.

Admissions

Applicants should hold a bachelor's degree in a STEM field or related discipline, with a minimum GPA of 3.0 and demonstrated background in mathematics, computer science, or data science. The program typically requires evidence of professional interest in healthcare applications of AI, though standardized test scores (GRE) may be optional depending on academic background.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)