M.S. in Biomedical Image Computing
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. This 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 can leverage their physics, math and computational skills to make an impact in the medical and healthcare industry. No biology or medicine background needed.
What Sets This Degree Apart
Comprehensive coursework
Instant and complete immersion in the burgeoning field of imaging science at the confluence of biomedical imaging and machine learning. Graduates from this degree program 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.
BIC students attend the 2023 RSNA conference
"The RSNA conference was an invaluable experience that exceeded my expectations as a BIC student. The conference served as a catalyst for my passion in medical imaging, providing a roadmap for continued learning and growth. I very much would recommend the RSNA conference for future BIC students."
-Sree Kodimela, BIC student
M.S. in BIC Contacts
LIEZL BOWMAN
Assistant Director
1240E Everitt Laboratory, M/C-278
1406 W. Green St.
Urbana, IL 61801
Email: liezlb@illinois.edu
Phone: (217) 333-8163
PROF. FAN LAM
Faculty Program Director
4061 Beckman Institute, M/C 251
405 N. Mathews Ave.
Urbana, IL 61801
Email: fanlam1@illinois.edu
Phone: (217) 300-3713
Interested in our M.S. in BIC program? Connect with us to find out more.
Email: bioe-gradprograms@illinois.edu
Phone: (217) 300-8066
1102 Everitt Laboratory, M/C 278
1406 W. Green St.
Urbana, IL 61801