Biomedical Image Computing, MS
for the degree of Master of Science in Biomedical Image Computing (on-campus and online)
The M.S. in Biomedical Image Computing blends together the fields of biomedical imaging science and machine learning. Students will receive a rigorous training in imaging systems and analysis, computational imaging, and machine learning, in preparation for an industry career.
Department Research
Bioengineering faculty perform research in the areas of Bio-Imaging at Multi-Scale, Molecular, Cellular and Tissue Engineering, Bio-Micro and Nanotechnology, Computational and Systems Bioengineering, and Synthetic Bioengineering. In addition to Bioengineering faculty, the Department of Bioengineering has more than 50 affiliate faculty.
The Department of Bioengineering offers studies leading to the Master of Engineering in Bioengineering (MEng), the Master of Science in Bioengineering (MS), the Master of Science in Biomedical Image Computing (MS in BIC), and the Doctor of Philosophy (PhD) in Bioengineering. The Bioengineering Graduate Program provides students with educational and research experiences that integrate the sciences of biology and medicine with the practices and principles of engineering. For the MS and PhD programs, areas of focus include Bio-Imaging at Multi-Scale, Molecular, Cellular and Tissue Engineering, Bio-Micro and Nanotechnology, Computational and Systems Bioengineering, and Synthetic Bioengineering.
for the degree of Master of Science in Biomedical Image Computing (on-campus and online)
| Code | Title | Hours |
|---|---|---|
| Required Coursework | ||
| BIOE 483 | Biomedical Computed Imaging Systems | 4 |
| BIOE 484 | Statistical Analysis of Biomedical Images | 4 |
| BIOE 485 | Computational Mathematics for Machine Learning and Imaging | 4 |
| BIOE 486 | Applied Deep Learning for Biomedical Imaging | 4 |
| BIOE 488 | Applied High-Performance Computing for Imaging Science | 3 |
| BIOE 489 | Regulations, Ethics and Logistics in Biomedical Applications of Machine Learning | 4 |
| BIOE 580 | Foundations of Imaging Science | 4 |
| BIOE 588 | Biomedical Image Computing Capstone Project Literature Review | 1 |
| BIOE 589 | Biomedical Image Computing Capstone Project | 4 |
| Choose one of the following: | 4 | |
| Deep Generative Models in Bioimaging | ||
| OR | ||
| Analytical Methods in Bioeng | ||
| Computational Bioengineering | ||
| Advanced Bioinstrumentation | ||
| Individual Study | ||
| Deep Learning | ||
| Vector Space Signal Processing | ||
| Random Processes | ||
| Statistical Learning Theory | ||
| Topics in Signal Processing | ||
| Topics in Image Processing | ||
| Computer Vision | ||
| Digital Imaging | ||
| Statistical Inference for Engineers and Data Scientists | ||
| Modern Light Microscopy | ||
| Computational Inference and Learning | ||
| Inverse Problems in Optics | ||
| Optimiz by Vector Space Methds | ||
| Total Hours | 36 | |
Other Requirements
| Code | Title | Hours |
|---|---|---|
| Minimum 500-level hours required overall: | 12 | |
| Minimum GPA: | 3.0 | |
| Minimum credit hours taken from the University of Illinois at Urbana-Champaign campus: | 12 | |
| Maximum number of previous University of Illinois at Urbana-Champaign graduate-level coursework not applied to any other degree that may be transferred and applied to the major pending department and Graduate College approval. | 12 | |
| Some elective courses may not be available online. Check the course schedule. | ||
for the degree of Master of Science in Biomedical Image Computing (on-campus and online)
Student learning objectives will be as follows:
- Ability to apply quantitative skills, engineering principles, and computational principles to propose novel and practical solutions to biomedical imaging problems.
- Ability to recognize and understand professional and ethical responsibilities.
- Ability to identify and communicate real-world biomedical imaging problems with bigger vision and offer solutions, as well as their impact, effectively to a diverse audience and stakeholders, both orally and in writing.
- Ability to develop effective leadership skills in order to foster the ability to collaborate and work with a diverse team, which is essential for a career in either academia or industry.
for the degree of Master of Science in Biomedical Image Computing (on-campus and online)
Admission Requirements
Applicants should have a bachelor’s degree in an engineering or other quantitative discipline from an accredited college or university. Students should have a minimum grade point average of 3.00 (A=4.00) or equivalent for the last two years of undergraduate study and show evidence of strong quantitative skills and of serious interest in imaging and machine learning through their personal statement. Students in the program do not have automatic admission to the Ph.D. program in any engineering department.
All applicants whose native language is not English must submit a minimum TOEFL score of 102 (iBT), 257 (CBT), or 613 (PBT); or minimum International English Language Testing System (IELTS) academic exam scores of 7.0 overall and 6.0 in all subsections. Applicants may be exempt from the TOEFL if certain criteria are met. Applicants with lesser scores may still apply. Limited status is granted for lesser scores and requires enrollment in English as a Second Language (ESL) courses based on an ESL Placement Test (EPT) taken upon arrival to campus.
Financial Aid
The tuition and fees for the M.S. in Biomedical Image Computing are the standard Graduate and Professional Programs rates for the College of Engineering. Students in the M.S. in Biomedical Image Computing program are not eligible for tuition-waiver generating assistantships.
for the degree of Master of Science in Biomedical Image Computing (on-campus and online)
Bioengineering Department
Department Head: Mark Anastasio
Director of Graduate Studies: Wawrzyniec Dobrucki
Bioengineering Master of Science in Biomedical Image Computing
Director of Biomedical Image Computing: Fan Lam
Bioengineering Department website
Department faculty
Biomedical Image Computing website
Grainger College of Engineering
Grainger College of Engineering website
Admissions
Departmental Admissions Requirements
Graduate College Admissions Requirements
Graduate Contact
Liezl Bowman
1240 Everitt Laboratory, 1406 W Green St, Urbana, IL 61801
(217) 300-8066
Bioengineering email