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.

Students interested in graduate work should refer to the Graduate and Professional Bulletin or visit the School of Biomedical Engineering website. 

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

Learning Objectives

The M.S. program in Bioengineering aims to produce graduates who:

  1. Demonstrate technical mastery of the core bioengineering disciplines of advanced engineering mathematics, biomolecular tools, bioengineering, physiology, and statistics.
  2. Conduct original research in bioengineering and related fields, by assembling a body of new knowledge that advances the field.
  3. Maintain high standards of scholarly excellence and responsible research conduct.
  4. Competently and professionally communicate their research in both written and oral forms.
  5. Effectively contribute to a broader research endeavor by directly collaborating with other scientists and engineers or by conducting and communicating their work in such a way that their individual contributions are readily assimilated with the work of other researchers in their field and related fields.

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 

1

BIOM 592 must be taken in two semesters.

2

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

3

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.

For more information, please visit Requirements for All Graduate Degrees in the Graduate and Professional Bulletin.

Summary of Procedures for the Master's and Doctoral Degrees

NOTE:  Each semester the Graduate School publishes a schedule of deadlines. Deadlines are available on the Graduate School website. Students should consult this schedule whenever they approach important steps in their careers.

Forms are available online.

Step Due Date
1. Application for admission (online) Six months before first registration
2. Diagnostic examination when required Before first registration
3. Appointment of advisor Before first registration
4. Selection of graduate committee Before the time of fourth regular semester registration
5. Filing of program of study (GS Form 6) Before the time of fourth regular semester registration
6. Preliminary examination (Ph.D. and PD) Two terms prior to final examination
7. Report of preliminary examination (GS Form 16) - (Ph.D. and PD) Within two working days after results are known
8. Changes in committee (GS Form 9A) When change is made
9. Application for Graduation (GS Form 25) Refer to published deadlines from the Graduate School Website
9a. Reapplication for Graduation (online) Failure to graduate requires Reapplication for Graduation (online) for the next time term for which you are applying
10. Submit thesis or dissertation to committee At least two weeks prior to the examination or at the discretion of the graduate committee
11. Final examination Refer to published deadlines from the Graduate School Website
12. Report of final examination (GS Form 24) Within two working days after results are known; refer to published deadlines from the Graduate School website
13. Submit a signed Thesis/Dissertation Submission Form (GS Form 30) to the Graduate School and Submit the Survey of Earned Doctorates (Ph.D. only) prior to submitting the electronic thesis/dissertation Refer to published deadlines from the Graduate School website.
14. Submit the thesis/dissertation electronically Refer to published deadlines from the Graduate School website
15. Graduation Ceremony information is available from the Graduate School website