TX

Master's in AI
On-Campus

The University of Texas at Dallas

MS in Artificial Intelligence for Biomedical Sciences

  • Dallas
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.

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What You'll Learn

Students gain expertise in deep learning, biostatistics, and medical imaging while learning to develop AI-driven solutions for patient care and health systems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum features coursework in machine learning, epidemiology, clinical decision support, and natural language processing specifically for the healthcare and biomedical industries.
Typical Course Topics
1. Machine Learning for Healthcare 2. Deep Learning and Neural Networks 3. Biomedical Data Analysis 4. Natural Language Processing in Medicine 5. Medical Imaging and Computer Vision 6. Statistical Methods for Biomedical AI
Program Specializations:
Machine Learning
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Excel as Data Scientist in Healthcare AI with machine learning expertise

Estimated Industry Salary
AI/Machine Learning Specialist in Healthcare: $125,000 Biomedical Data Scientist: $118,000 Clinical AI Engineer: $130,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer (Healthcare/Biotech) 2. Biomedical Data Scientist 3. Clinical Informatics Specialist 4. AI Research Scientist (Medical Institutions)
Top AI Employers (Industry-Wide):
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.
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Program Details
Duration
  • 1 Year
Tuition
  • 37,500
Format
On-Campus
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
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