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

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
• CS 549 — Seminar in Cognitive Science 
• CS 591 — Biologically Plausible AI 
• 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
• ECE 590 — Grad Seminar in Bioacoustics 
• ECE 598 — Super Res Biomed Imaging 

• 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.