M.S. in BIC Curriculum Overview

Course requirements

The M.S. in Biomedical Image Computing (M.S. in BIC) program is an intensive professional degree that can be completed in three semesters while on-campus. Students must complete 36 credit hours and are required to take the following core and elective classes:

First semester:

  • BIOE 483 — Biomedical Computed Imaging Systems
  • BIOE 485 — Computational Mathematics for Machine Learning and Imaging
  • BIOE 488 — Applied High-Performance Computing for Imaging Science
  • BIOE 598  - Current Topics in Biomedical Imaging 

Second semester:

  • BIOE 484 — Statistical Analysis of Biomedical Images
  • BIOE 486 — Applied Deep Learning for Biomedical Imaging
  • BIOE 580 — Foundations of Imaging Science
  • BIOE 588 — Biomedical Image Computing Capstone Project Literature Review

Third semester:

  • BIOE 489 — Regulations, Ethics and Logistics in Biomedical Applications of Machine Learning
  • BIOE 589 — Biomedical Image Computing Capstone Project 
Choose one of the following:
  • BIOE 586 — Deep Generative Models in Bioimaging
  • OR an approved elective course (4 hours)

Approved elective courses:

Advisor approval is required for elective courses not listed below:
  • BIOE 504 — Analytical Methods in Bioeng
  • BIOE 505 — Computational Bioengineering
  • BIOE 507 — Advanced Bioinstrumentation
  • BIOE 597 — Individual Study
  • BIOE 598 - Current Topics in Biomedical Imaging
  • CS 543 — Computer Vision
  • CS 547 — Deep Learning
  • ECE 513 — Vector Space Signal Processing
  • ECE 534 — Random Processes
  • ECE 543 — Statistical Learning Theory 
  • ECE 544 — Topics in Signal Processing
  • ECE 547 — Topics in Image Processing
  • ECE 549 — Computer Vision
  • ECE 558 — Digital Imaging
  • ECE 561 — Detection & Estimation Theory
  • ECE 564 — Modern Light Microscopy
  • ECE 566 — Computational Inference and Learning
  • ECE 569 — Inverse Problems in Optics
  • ECE 580 — Optimization by Vector Space Methods
  • IS 577 — Data Mining

Curriculum for the online MS in BIC program can be flexible.  Students would need to take classes in sequence and based on availability – please work with the BIC program to plan your curriculum.

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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