The master of science in bioengineering program integrates engineering with biomedical science to help prepare students for work in bioscience research and development. Students explore a variety of medical treatments and devices, including biomechanical smart devices and wearable technologies. Our curriculum also includes advanced engineering mathematics, reliability and optimization courses. A cross-disciplinary degree between the Ritchie School and the Division of Natural Sciences and Mathematics, we welcome students from engineering, chemistry, biological sciences and physics backgrounds.
The goal of the program is to address both the industrial requirements and the desired qualifications of a 21st century workforce in bioengineering businesses. A particular focus for our bioengineering is a collaboration designed to address the grand challenge of aging. Coupling in-class learning with clinical practice, students may find opportunities to work in either the Center for Orthopaedic Biomechanics or the Knoebel Institute for Healthy Aging. Program graduates can pursue opportunities with bioscience companies in the private sector or work to apply their knowledge and expertise toward further graduate studies, as well as nonprofit and academic research. This program is ideal for students with bachelor’s degrees in chemistry, biological sciences or physics, as well as those with accredited engineering degrees.
Featured Courses
ENBI 4500
Biofluids
About this Course
The application of fluid dynamics theory and design to problems within the biomedical community. Specific topics covered include the mechanics of inhaled therapeutic aerosols, basic theory of circulation and blood flow, foundations in biotechnology and bioprocessing, and controlled drug delivery. Cross listed with ENBI 3500.
ENME 4520
Intermediate Dynamics
About this Course
Development and analysis of dynamic systems through classical and modern approaches. Topics include: reference frames, particle kinematics, Newtonian particle mechanics, Phase Portraits, rigid-body kinematics, Euler's laws, Lagrange's Equations, Lagrange Multipliers, and Kane's Equations. Recommended prerequisites: MATH 2070 and MATH 2080.
ENGR 4620
Optimization
About this Course
Engineering problems will be formulated as different programming problems to show the wide applicability and generality of optimization methods. The development, application, and computational aspects of various optimization techniques will be discussed with engineering examples. The application of nonlinear programming techniques will be emphasized. A design project will be assigned.
Application Information
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Spring 2025 Final Deadline