UT Health San Antonio

How this program compares

At an estimated $10.9K in total tuition, the Dual Degree: Doctor of Medicine and MS in Artificial Intelligence sits roughly 75% below the $42.9K average for AI master's programs in our database — placing it in the 4th percentile on cost among the 394 we track at this level. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Admission requires a bachelor's degree, strong GPA (typically 3.7+), MCAT scores, and relevant coursework in sciences, computer science, or mathematics; prior research or healthcare experience in AI applications is highly preferred.

About This Program

This unique dual-degree program equips future physicians with technical AI expertise to lead the digital transformation of clinical practice and research. Coursework concentrates on Generative AI and LLMs and Machine Learning. Most students complete it in about 5 years.

Apply machine learning algorithms to analyze medical data and predict patient outcomes.

Estimated total tuition is $10.9K, below the $42.9K average for AI master's programs in our database and in the 4th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

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 82% of the Texas programs in our data, where typical tuition runs near $41.5K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $250,000.

Career Outcomes

UT Health San Antonio positions this master track for Machine Learning Engineer careers — typical offers cluster around $250,000. Its focus on Generative AI and LLMs and Machine Learning 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 15% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI-Enabled Physician
• 2. Medical AI Researcher
• 3. Clinical Data Scientist
• 4. Health Informatics Director

What You'll Learn

• Apply machine learning algorithms to analyze medical data and predict patient outcomes.
• Develop AI models for diagnostic imaging and personalized medicine.
• Integrate AI tools into clinical decision-making and healthcare workflows.
• Address ethical and regulatory challenges of AI in medical practice.

Curriculum Highlights

The structure combines a standard medical doctorate curriculum with specialized MS coursework in machine learning, health informatics, and clinical AI applications.

Top Employers

Top employers include major hospital systems like Mayo Clinic, tech-health firms like Google Health and IBM Watson Health, and research institutions such as NIH and academic medical centers.

Admissions

Admission to UT Health San Antonio's Dual Degree: Doctor of Medicine and MS in Artificial Intelligence 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: 3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions