How do our master's programs compare?
Three exciting ways to shape your future
We understand the importance of finding a graduate program that fits your interests and long-term professional goals. Here’s a comparison of our various bioengineering master’s degree programs – connect with us to discuss which one may best prepare you for your career path!
| Program | MS in Biomedical Image Computing | Traditional MS in Bioengineering | |
|---|---|---|---|
| Curriculum focus | Non-thesis, coursework-based technical training with business fundamentals | Non-thesis, coursework-based technical training at the intersection of biomedical imaging science, high-performance computing and machine learning | Thesis-required and advisor-based program to foster research immersion |
| Length of program |
Full-time (on-campus): as little as 1 academic year Part-time (online): flexible, max of 5 years |
Full-time (on-campus): three semesters (Fall, Spring, Fall) Part-time (online): flexible, max of 5 years |
Full-time enrollment required Two years is the typical time-to-degree |
| Online option | Yes | Yes | No |
| Application deadline / Enrollment term |
Rolling admission On-campus cohorts generally start during the Fall term Admission to the online program available for Fall, Spring and Summer terms |
Rolling admission On-campus cohorts generally start during the Fall term Admission to the online program available for Fall term only |
Dec 1 deadline for enrollment the following Fall term |
| Funding support |
Self-funded program Highly qualified students are eligible for partial scholarships Eligible for part-time hourly work Not eligible for tuition waiver-generating assistantships
|
Self-funded program Highly qualified students are eligible for partial scholarships Eligible for part-time hourly work Not eligible for tuition waiver-generating assistantships
|
Eligible for tuition waiver-generating assistantships Eligible for part-time hourly work |
| A good fit for... |
Students who want to develop an engineering-related career in healthcare industry and build business acumen. Can also serve as a “stepping stone” to other career paths, like PhD, medical school or entrepreneurial interests. |
Students looking for careers as engineers who are developing, translating, and evaluating biomedical imaging technologies that leverage machine learning methods. |
Students who want to build a career in academia or a research lab setting. |
Graduate program 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
Interested in our master's programs? 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