Track Computational Bioengineering Master's of Engineering
Lawrence , United States
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Tuition Fee
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Start Date
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Medium of studying
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Duration
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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:
- 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)
- 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:
- Math; Statistics; Numerical Methods: At least one course
- Life Sciences: At least one course
- 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.
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