University of Louisville

How this program compares

At an estimated $25.5K in total tuition, the MS in Artificial Intelligence in Medicine sits roughly 41% below the $42.9K average for AI master's programs in our database — placing it in the 34th percentile on cost among the 394 we track at this level. It is one of the 54% 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, biology, or related discipline is required, along with a minimum GPA of 3.0 and relevant coursework in programming, statistics, or mathematics.

About This Program

A joint master's degree program focusing on the intersection of bioengineering, biostatistics, and artificial intelligence for medical and clinical advancement. Coursework concentrates on Machine Learning and Computer Vision. Most students complete it in about 1 year.

It is one of 13 AI-related programs we track in Kentucky, of which about 69% offer an online option. On price, it comes in higher than about 69% of the Kentucky programs in our data, where typical tuition runs near $25.3K.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $130,000.

Implement machine learning algorithms for medical data analysis and predictive modeling.

Budget planners should note $25.5K estimated total tuition (34th percentile among AI master's programs, below the $42.9K average). That puts it in the mid-range on price among comparable programs.

Career Outcomes

Graduates of University of Louisville's MS in Artificial Intelligence in Medicine most often target AI Engineer roles, where reported compensation runs around $130,000. Its focus on Machine Learning and Computer Vision maps directly to how employers in healthcare ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 32% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Healthcare Data Scientist
• 2. Medical Imaging AI Specialist
• 3. Clinical AI Researcher
• 4. Health AI Product Developer

What You'll Learn

• Implement machine learning algorithms for medical data analysis and predictive modeling.
• Analyze and process medical images using AI techniques like computer vision.
• Apply AI to bioengineering challenges and radiomics for diagnostics.
• Develop AI solutions for digital pathology and personalized medicine.
• Evaluate ethical considerations in AI deployment for healthcare.

Curriculum Highlights

The 30-credit program features core courses in machine learning, medical visualization, and programming for biomedical data.

Top Employers

Top employers include major hospital systems like Mayo Clinic and Cleveland Clinic, medical device companies such as Medtronic and Siemens Healthineers, and research institutions like NIH and pharma firms like Pfizer.

Admissions

Admission to University of Louisville's MS in Artificial Intelligence in Medicine generally expects a bachelor's degree. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions