MasterOn-Campus, OnlineFull-Time, Part-Time

University of Alabama at Birmingham

MS in Artificial Intelligence in Medicine

Birmingham, Alabama1 years$21K total tuition
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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 $20.7K in total tuition, the MS in Artificial Intelligence in Medicine sits roughly 51% below the $42.4K average for AI master's programs in our database β€” placing it in the 29th 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.

Est. Salary$130,000
Job Growth+23%
Top RoleMachine Learning Engineer
FormatOn-Campus, Online

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$21K total
Format
On-Campus, Online
Schedule
Full-Time, Part-Time
GRE / GMAT
Required
Concentrations
Machine Learning, Computer Vision

Typical admitted student: A bachelor's degree in computer science, engineering, biology, or a related field is required, along with a minimum GPA of 3.0 and relevant coursework in programming, statistics, or machine learning. GRE scores are often optional, with preference given to applicants with research or healthcare experience.

About This Program

This graduate degree combines academic rigor with real-world applications to produce experts in medical and clinical artificial intelligence. Coursework concentrates on Machine Learning and Computer Vision. Most students complete it in about 1 year.

Estimated total tuition is $20.7K, below the $42.4K average for AI master's programs in our database and in the 29th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Excel as Machine Learning Engineer in Healthcare AI with artificial intelligence expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $130,000.

Career Outcomes

Excel as Machine Learning Engineer in Healthcare AI with artificial intelligence expertise

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

What You'll Learn

  • Develop AI models for analyzing medical images and genomic data
  • Apply machine learning to predict disease progression and treatment outcomes
  • Design ethical AI systems for clinical decision support
  • Analyze multimodal healthcare datasets for translational research

Curriculum Highlights

The program covers foundations, applications, and design of AI applications, with elective options in large language models and innovation projects.

Top Employers

Top employers include major hospital systems like Mayo Clinic and Cleveland Clinic, tech firms such as Google Health and IBM Watson Health, and research institutions like NIH and pharmaceutical companies.

Admissions

A bachelor's degree in computer science, engineering, biology, or a related field is required, along with a minimum GPA of 3.0 and relevant coursework in programming, statistics, or machine learning. GRE scores are often optional, with preference given to applicants with research or healthcare experience.

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+)

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