Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
Not Available
Details
Program Details
Degree
Masters
Major
Biomedical Engineering | Computer Science | Data Science
Area of study
Information and Communication Technologies | Engineering
Course Language
English
About Program

Program Overview


KU Bioengineering Graduate Program

The Master of Engineering in Bioengineering program at the University of Kansas offers a track in Computational Bioengineering. This track is directed by Suzanne Shontz, Ph.D.


Core Requirements

The program requires 6 hours of core courses, including:


  • CPE 756: Intro to Bioengineering (3 hours)
  • BIOE 800: Bioengineering Colloquium (0.5 hours, with a total requirement of 2 hours)
  • BIOE 801: Responsible Conduct of Research in Engineering (1 hour)

Depth Requirements

The program requires 9 hours of depth courses, including:


  1. Fundamentals Course: At least one course from the following options:
  • EECS 639: Introduction to Scientific Computing (3 hours)
  • EECS 730: Introduction to Bioinformatics (3 hours)
  • EECS 731: Introduction to Data Science (3 hours)
  • BINF 701: Computational Biology I (5 hours) (cannot be taken with EECS 730)
  1. Elective Courses: At least one course from the following options:
  • BINF 702: Computational Biology II (5 hours)
  • EECS 660: Fundamentals of Computer Algorithms (3 hours)
  • EECS 738: Machine Learning (3 hours)
  • EECS 739: Parallel Scientific Computing (3 hours)
  • EECS 740: Digital Image Processing (3 hours)
  • EECS 837: Data Mining (3 hours)
  • EECS 839: Mining Special Data (3 hours)
  • EECS 868/CPE 778: Math Opt w/ Applications or Applied Opt. Methods (3 hours)
  • ME 751: Experimental Methods in Biomechanics (3 hours)
  • ME 755: Computer Simulation in Biomechanics (3 hours)
  • ME 854: Continuum Mechanics for Soft Tissues (3 hours)
  • ME 861: Theory of the Finite Element Method (3 hours)
  • CE 861: Finite Element Methods for Solid Mechanics (3 hours)
  • AE 746: Computational Fluid Dynamics (3 hours)
  • BIOL 952: Introduction to Molecular Modeling (3 hours)
  • PRVM 868: Bioinformatics Driven Clinical Research (3 hours)
  • BIOS/STAT 730: Applied Linear Regression (3 hours)
  • BIOS/STAT 799: Introduction to Statistical Genomics (3 hours)
  • BIOS/STAT 823: Introduction to Programming & Applied Stats in R (3 hours)

Breadth Requirements

The program requires 15 hours of breadth courses, with the following specifications:


  1. Math; Statistics; Numerical Methods: At least one course
  2. Life Sciences: At least one course
  3. Advanced Engineering: At least one course at the 700 level or above

Minimum Hours Required for Degree

The minimum hours required for the degree is 30 hours. No more than 3 classes may be taken at the 500-600 level and counted towards the graduate degree.


See More