Graduate Certificate in Advanced Computational Imaging

Program Overview

Modern medical imaging systems are complex, high-technology devices. Engineers designing and developing medical imaging systems must have knowledge and understanding around concepts not traditionally available in bachelor’s degree programs in engineering or computing. Such concepts include:

  • Mathematical foundations of tomography (images constructed from a series of “slices”),
  • Image artifacts that distort the images and how to correct them, and
  • Hardware and software for the embedded computing systems that are used to implement image construction and correction.

This program fills a need to prepare engineers with the knowledge, understanding and abilities essential for a successful career in modern medical imaging systems.

Who should get a Certificate in Advanced Computational Imaging?

Professionals seeking to advance their career or enter the medical imaging field.

Program Requirements

A minimum of 15 credits of which at least 12 credits must be taken at UWM.


  • One course that surveys medical imaging. This may be any of these four courses:
    • ElecEng 437: Introduction to Biomedical Imaging, 3cr Physics 782: Physics of Medical Imaging, 3cr
    • CompSci 657: Topics in Computer Science:
    • GE Healthcare Advanced Course on Medical Imaging (Edison A), 3cr (see note below)
    • ElecEng 490: Special Topics: GE Healthcare Advanced Course on Medical Imaging (Edison A), 3cr (see note below)
  • Two courses on tomography foundations and algorithms:
    • ElecEng 716: Tomography: Imaging and Image Reconstruction, 3cr
    • ElecEng 717: Tomography: Image Quality and Artifact Correction, 3cr
  • Two courses on computer engineering concepts used in building medical imaging systems
    • ElecEng/CompSci 545: FPGA Embedded CPUs & Firmware Development, 3cr
    • CompSci 729: Real-Time Operating Systems, 3cr

Students who have taken ElecEng 437 or ElecEng/CompSci 545 or their equivalents as an undergraduate may substitute a relevant graduate course with the approval of the Certificate program. The program maintains a list of suggested substitute courses. The current list is:

  • ElecEng/CompSci 711: Pattern Recognition – Statistical, Neural, and Fuzzy Approaches, 3cr
  • ElecEng/CompSci 712: Image Processing, 3cr
  • ElecEng/CompSci 713: Computer Vision, 3cr
  • CompSci 718: Advanced Computer Graphics: Modeling and Animation, 3cr
  • CompSci 758: Advanced Computer Architecture, 3cr
  • CompSci 762: Fault-Tolerant Computing, 3cr

Transfer Credits

Up to 3 credits can be transferred from graduate-level course work relevant to computational imaging taken at other institutions. These credits must meet standard transfer credit policy to qualify.

Time Frame for Completion

A graduate certificate can be earned in as little as three semesters. The program must be completed within three years.

Planned Course Offerings,
Fall 2013-Fall 2017
F13 S14 F14 S15 F15 S16 F16 S17 F17
ElecEng 437 X   X   X   X   X
ElecEng 716 X     X     X    
ElecEng 717   X     X     X  
CompSci 545
    X     X     X
CompSci 729   X     X     X  

Admission requirements and procedures

Students must have:

  • A baccalaureate degree.
  • A minimum 2.75 cumulative undergraduate grade point average.
  • A completed UW System online admission application. Select “Graduate courses for personal/professional enrichment” as your reason for applying.

Continuation and exit requirements

  • Minimum cumulative 3.0 grade point average.

Please see the Graduate Certificate in Advanced Computational Imaging brochure in PDF format.