Master of Science in Biomedical Image Computing (BIC)

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.

What Sets This Degree Apart

bioengineering students in class

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.

bioengineering students collaborating in a team

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.

Deadline for priority consideration: March 31, 2022

Applications for the Fall 2022 on-campus cohort are currently being accepted for priority consideration until March 31, 2022, based on availability. Our M.S. in BIC program applications are accepted on a rolling basis for Fall admission cycle only.

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ADMISSIONS CRITERIA
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HOW TO APPLY
Prospective graduate students should apply online through the Graduate College at the University of Illinois.

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TUITION & FEES
The tuition for the M.S. in BIC program follows the campus graduate and professional engineering program rates.

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M.S. in BIC Contacts

LIEZL BOWMAN

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

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