University of Alabama at Birmingham
Graduate Certificate in AI in Health Services
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 $6.9K in total tuition, the Graduate Certificate in AI in Health Services sits roughly 40% below the $11.4K average for AI certificate programs in our database β placing it in the 31st 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: Applicants typically need a bachelor's degree and relevant healthcare or technology background (such as nursing, health administration, informatics, or computer science). Some programs prefer professional healthcare experience or technical competency in data analysis.
About This Program
This online graduate certificate prepares healthcare professionals to use and translate artificial intelligence tools within clinical and administrative settings. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.
Estimated total tuition is $6.9K, below the $11.4K average for AI certificate programs in our database and in the 31st percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Build artificial intelligence skills to advance as Data Analyst in Healthcare AI Graduates frequently move into roles such as Data Analyst, with reported salaries around $115,000.
Career Outcomes
Build artificial intelligence skills to advance as Data Analyst in Healthcare AI
- 1. Clinical Data Scientist
- 2. Health Informatics Specialist
- 3. AI Implementation Manager in Healthcare Systems
- 4. Healthcare Technology Consultant
What You'll Learn
- Design and implement machine learning models to improve clinical workflows and patient care delivery
- Analyze large healthcare datasets to identify patterns, predict outcomes, and support evidence-based decision-making
- Evaluate AI system performance, address bias in algorithms, and ensure compliance with healthcare regulations and ethical standards
- Translate AI solutions into actionable insights for healthcare organizations and interdisciplinary clinical teams
Curriculum Highlights
The five-course curriculum covers foundations of AI in health services, applications to medical data, and leadership in healthcare innovation.
Top Employers
Top employers include major hospital systems (Cleveland Clinic, Mayo Clinic, Johns Hopkins), health technology companies (Epic Systems, Cerner, IBM Watson Health), insurance providers (UnitedHealth, CVS Health), and healthcare consulting firms (McKinsey, Deloitte, Accenture).
Admissions
Applicants typically need a bachelor's degree and relevant healthcare or technology background (such as nursing, health administration, informatics, or computer science). Some programs prefer professional healthcare experience or technical competency in data analysis.
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: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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