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MS DEGREE REQUIREMENTS
The requirements for a Master of Science degree in Biomedical Engineering are completion of 32 units of approved coursework, including three core courses (below), and an MS thesis approved by a three-member faculty committee. These courses must be taken for a letter grade; the minimum acceptable grade is B- and the minimum overall GPA is 3.00. S/U-graded courses (e.g., research 290C and 299 and seminar 290 courses) do not count toward the 32-unit requirement. Each MS student must pass the 3 core courses and additional track specific courses. Each student's program of study must be approved by their major professor and signed by the corresponding biomedical engineering graduate advisor . Students are asked to file a preliminary program of study with the graduate group within the first two weeks of the first quarter of enrollment. The study plan is to be updated annually.
CHECKLISTS
The following are checklists to aid in preparing for specific graduate tracks with BME. They are in PDF format and require Adobe Acrobat Reader for viewing.
* Biomedical Imaging
* Cellular and Molecular Systems
* Musculoskeletal Biomechanics
CORE COURSES
| CRS # |
TITLE |
QTR. |
UNITS |
REQT'S |
| BIM 204 |
Physiology for Bioengineers |
F |
5 |
Biol |
| Introduction to major organ systems in human physiology. The focus is on understanding and modeling physiological processes as a control system.Prerequisities: BIS 1A. Lecture 1 hr five times each week. |
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| BIM 202 |
Cell and Molecular Biology for Engineers |
W |
4 |
Biol |
| This course prepares biomedical engineers for research and critical review of topics in cellular and molecular engineering. The course emphasizes biophysical and engineering concepts related to receptor-ligand dynamics in cell signaling, cell motility, DNA replication and RNA processing, cellular energetics, and protein sorting. Prerequisites: BIS 1A or a basic course in cell biology. Lecture 2 hrs twice each week. |
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| BIM 281 |
Acquisition and Analysis of Biomedical Signals |
S |
4 |
Engr |
| This lecture/laboratory course introduces basic concepts associated with digital signal recording and analysis. Lectures introduce concepts of sampling; standard probability distributions; statistical error analysis related to experimental design; correlation, Fourier, and spectral analyses applied to signal and image processing. Labs are designed to provide hands-on experience with digital oscilloscopes, waveform generators, optical microscopy, Matlab- and Labview-based software applications. Prerequisites: ENG 6, ENG 17, ENG 100, STA 13. Lecture 1 hr twice each week. Labs are 3 hrs each week. |
For the Graduate Student Handbook see: http://www.gradstudies.ucdavis.edu/students/handbook/index.html
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