The University of Texas at Dallas

How this program compares

At an estimated $37.5K in total tuition, the MS in Artificial Intelligence for Biomedical Sciences sits roughly 12% below the $42.4K average for AI master's programs in our database — placing it in the 58th percentile on cost among the 531 we track at this level.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field is required, along with a minimum GPA of 3.0. Applicants should have foundational knowledge in programming, statistics, and mathematics.

About This Program

This program bridges the gap between computer science and healthcare, training students to apply advanced AI techniques to complex biomedical and clinical data. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 1 year.

Estimated total tuition is $37.5K, below the $42.4K average for AI master's programs in our database and in the 58th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Excel as Data Scientist in Healthcare AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $130,000.

Career Outcomes

Excel as Data Scientist in Healthcare AI with machine learning expertise

• 1. Machine Learning Engineer (Healthcare/Biotech)
• 2. Biomedical Data Scientist
• 3. Clinical Informatics Specialist
• 4. AI Research Scientist (Medical Institutions)

What You'll Learn

• Apply machine learning algorithms to solve complex biomedical problems and clinical decision-making
• Develop and deploy deep learning models for medical imaging, diagnostics, and predictive analytics
• Analyze large-scale health datasets and implement data science solutions in healthcare settings
• Design ethical AI systems that address privacy, bias, and regulatory compliance in biomedical research

Curriculum Highlights

The curriculum features coursework in machine learning, epidemiology, clinical decision support, and natural language processing specifically for the healthcare and biomedical industries.

Top Employers

Common employers include major healthcare organizations like Mayo Clinic, Cleveland Clinic, and major pharmaceutical companies such as Pfizer and Johnson & Johnson, as well as biotech firms and health tech startups.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field is required, along with a minimum GPA of 3.0. Applicants should have foundational knowledge in programming, statistics, and mathematics.

Application Materials

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

Academic Requirements

• Degree Required: Master of Science (MS)
• GRE: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)