Biomedical image computing is a large, rapidly growing industry and research field comprising the formation and analysis of diagnostic images. Both image system design and biomedical image analysis currently are being revolutionized at a tremendous rate by the emergence of machine learning techniques.
The Master of Science in Biomedical Image Computing degree addresses the need for efficient, rigorous training focused at the intersection of biomedical imaging science, high-performance computing, and machine learning. Students will be well-prepared for career opportunities in imaging science through the educational experiences gained within this program.
What Sets This Degree Apart
Comprehensive coursework
Constant and complete immersion in the burgeoning field of imaging science at the confluence of biomedical imaging and machine learning. Graduates will find careers as engineers who are developing, translating, and evaluating biomedical imaging technologies that leverage machine learning methods.
Practical training
Hands-on experiences with computational imaging and machine learning — throughout the duration of the program and a capstone project — that involve real-world data and problems. The students will also receive training in critical aspects of high-performance computing that provide immediate value to students and employers.
World-class faculty
Innovative curriculum developed and taught by leading bioengineering faculty members who are actively working with a wide range of modern biomedical imaging modalities in real, well-funded imaging applications.