Biomedical Engineering B.S.

Biomedical Artificial Intelligence (AI) Track

The Biomedical Artificial Intelligence (AI) track focuses on the application of computational and data-driven methods to solve complex problems in healthcare, diagnostics, and biomedical research. This specialization integrates statistical learning, machine learning, data analytics, signal and image processing, and computational modeling to interpret and visualize biomedical data, support clinical decision-making, and advance personalized medicine. Students gain knowledge in areas such as medical imaging analysis, bioinformatics, predictive modeling, biomedical signal processing, healthcare data, and AI-driven concepts.

Emphasis is placed on ethical considerations, including patient safety, data privacy, and regulatory compliance. Interdisciplinary collaboration with clinicians and industries supports the development of practical biomedical solutions. Graduates of this track are well-positioned for careers in medical device companies, healthcare organizations, research laboratories, and clinical informatics teams, and to pursue advanced studies in biomedical engineering, artificial intelligence, data science, or related professional programs.

The specialized courses required for this track total 25 credits:

  • ELE 314 – Signals and Systems II (3)
  • EGR 404 – Building Tools with Generative AI (3)
  • EGR 441 –  Intro AI/ML for Engineering Applications (4)
  • BME 461 – Physiological Modeling and Control (3)
  • BME 464 – Medical Imaging (3)
  • BME 465 – Medical Image Processing Laboratory (1)
  • EGR 444 – Advanced AI/ML for Engineering Applications (4)
  • BME 473 – Brain Signal Processing and Applications (4)