The University of Texas at Austin

How this program compares

The University of Texas at Austin's Graduate Certificate in Healthcare AI lists about $8.0K total tuition — roughly 27% below the $11.0K AI certificate average (46th percentile in our data). It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree with a background in healthcare, computer science, data science, or a related field. Relevant work experience in healthcare or technology is preferred, and some programs may require a minimum GPA of 3.0 or demonstrated proficiency in programming or statistics.

About This Program

This online certificate equips healthcare professionals with the skills to use AI for improving patient care, workflow efficiency, and clinical leadership. Coursework concentrates on Machine Learning and Natural Language Processing (NLP). Most students complete it in about 1 year.

Budget planners should note $8.0K estimated total tuition (46th percentile among AI certificate programs, below the $11.0K average). That puts it in the mid-range on price among comparable programs.

It is one of 45 AI-related programs we track in Texas, of which about 51% offer an online option. On price, it comes in cheaper than about 93% of the Texas programs in our data, where typical tuition runs near $41.5K.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $115,000.

Design and implement machine learning models for clinical decision support and patient outcome prediction.

Career Outcomes

Graduates of The University of Texas at Austin's Graduate Certificate in Healthcare AI most often target AI Engineer roles, where reported compensation runs around $115,000. Its focus on Machine Learning and Natural Language Processing (NLP) 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 21% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Healthcare Data Scientist
• 2. Clinical AI Systems Analyst
• 3. Biomedical Informatics Specialist
• 4. Healthcare AI Product Manager

What You'll Learn

• Design and implement machine learning models for clinical decision support and patient outcome prediction
• Apply natural language processing and data mining techniques to extract insights from unstructured medical data
• Evaluate and mitigate bias and ethical concerns in AI-driven healthcare systems
• Develop secure, compliant, and scalable AI solutions that integrate with healthcare workflows

Curriculum Highlights

The 9-credit-hour structure consists of three online courses covering AI-powered clinical decision support and documentation optimization in healthcare environments.

Top Employers

Top employers in healthcare AI include major hospital systems such as Mayo Clinic and Cleveland Clinic, health tech companies like Optum and UnitedHealth, pharmaceutical firms investing in AI research, and government agencies including the FDA and NIH.

Admissions

Admission to The University of Texas at Austin's Graduate Certificate in Healthcare AI generally expects a bachelor's degree. The GRE is optional 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
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions