The Master of Science in Bioengineering curriculum includes core courses in advanced mathematics and statistics, bioengineering, and biomolecular technology, as well as technical electives chosen from numerous engineering and life science courses. The curriculum is designed to provide flexibility and support for a student's research specialty. M.S. students are involved in the design and regulatory approval of advanced medical technologies, as well as the manufacturing of health care products. Each student's research is guided by an advisor and contributes to the knowledge base in the scientific community that forms the basis of the student's thesis. Funding opportunities are available for M.S. students.

Strengths of the program include:

  • Research leading to major advances in a health care field
  • Nationally and internationally recognized faculty from over a dozen departments
  • Coverage of regulatory issues and approval processes with animal and human subjects
  • Conducting research in state-of-the-art facilities, including the nationally renowned Veterinary Teaching Hospital
  • Community of innovators on the cutting edge of research in cancer, orthopaedics, cardiovascular diseases, nanotechnology, biosensors, and more

Intra-University in Colleges of Health and Human Sciences, Engineering, Natural Sciences, Veterinary Medicine & Biomedical Sciences

Effective Fall 2021

Core Course Requirements
BIOM 533/CIVE 533Biomolecular Tools for Engineers3
BIOM 570/MECH 570Bioengineering3
BIOM 576/MECH 576Quantitative Systems Physiology4
BIOM 592Seminar 12
BIOM 699Thesis8
Select three credits from the following:3
Mathematics for Scientists and Engineers
Foundations of Applied Mathematics
Partial Differential Equations I
Numerical Methods in Science and Engineering
Linear Algebra
Linear Algebra for Data Science: Matrices and Vectors Spaces
Linear Algebra for Data Science: Geometric Techniques for Data Reduction
Linear Algebra for Data Science: Matrix Factorizations and Transformations
Linear Algebra for Data Science: Theoretical Foundations
Select four credits from the following:4
Data Wrangling/Visualization for Researchers
Multivariate Analysis for Researchers
Design and Data Analysis for Researchers II
Regression Models for Researchers
Experimental Design/Analysis for Researchers
Generalized Regression Models for Researchers
Mixed Models for Researchers
Machine Learning for Researchers
Electives 23
Program Total Credits:30

A minimum of 30 credits are required to complete this program.3 


BIOM 592 must be taken in two semesters.


Select a minimum of 3 credits of Engineering courses 500-level or above with approval of advisor.


Program Total Credits must include a minimum of 21 semester credits earned at CSU (not including thesis or independent study) in 500-level (or above) regular courses.