Master of Science in the Field of Biomedical Engineering

The degree of master of science in the field of biomedical engineering degree program is designed to prepare students to apply engineering principles to problems in medicine and biology, to understand and model multiple attributes of living systems, and to synthesize biomedical systems and devices. Thesis and non-thesis options are available. The program is offered on GW's main campus in Foggy Bottom, where the School of Engineering and Applied Science, the School of Medicine and Health Sciences, and GW Hospital are separated by one city block. 

Visit the program website for additional information.

The following requirements must be fulfilled: 30 credits, including 18 credits in required courses and 12 credits in elective courses (non-thesis option) or 6 credits in thesis and 6 credits in elective courses (thesis option).

BME 6065Colloquium
Five additional 6000-level BME courses (15 credits) excluding BME 6050.
Required of students who have selected the thesis option
BME 6998Thesis Research
BME 6999Thesis Research
For non-thesis option, students select four elective courses (12 credits). For thesis option, students select two elective courses (6 credits). All electives must be approved by the advisor. Some possible electives listed below.
ANAT 8120Graduate Human Gross Anatomy
APSC 6212Analytical Methods in Engineering II
APSC 6213Analytical Methods in Engineering III
BME 6481Regulatory Law for Medical Devices
ECE 6030Device Electronics
ECE 6035Introduction to Computer Networks
ECE 6215Introduction to MEMS
ECE 6800Computational Techniques in Electrical Engineering
EHS 6227Introduction to Human Health in Space
EMSE 6765Data Analysis for Engineers and Scientists
EXNS 6202Advanced Exercise Physiology I
EXNS 6223Biomechanical Analysis
MAE 6204Tissue Engineering
MAE 6238Biomaterials
MATH 6522Introduction to Numerical Analysis
MATH 6540Topics in Numerical Analysis
PUBH 6002Biostatistical Applications for Public Health
PUBH 6249Use of Statistical Packages: Data Management and Data Analysis