Curriculum

The Master of Science Degree in Biomedical Engineering is a 32 credit program with or without thesis that provides breadth and specialized experience in BME. The thesis option culminates in research experience resulting in publishable work. The coursework for thesis and non-thesis options consists of a biomedical engineering core comprising 15 credits, 9 credits of approved electives, and two 1-credit seminars. For the thesis option, there are 6 credits of research. For the non-thesis option, 6 additional credits are taken in approved electives. 

Core Graduate Courses

Modern Methods in Biomedical Engineering I and II (3 credits each)
This course sequence covers aspects of biomedical engineering, tying in physical and life sciences to engineering concepts. Subject areas include instrumentation, applied molecular and cell biology, thermodynamics, fluid dynamics, and other areas of physics and engineering related to living systems. 

Engineering Computation I and II (3 credits each)
This course covers applied mathematics needed for biomedical engineering. Emphasis is placed on software tools and computational methods. A rigorous overview of statistics is covered, including frequentist and Bayesian methods. 

Ethics (3 credits)
This course covers ethical matters related to healthcare and research with human subjects. Institutional Review Board, clinical trials, and regulatory pathways will be considered with respect to ethical questions. 

Seminar in Biomedical Engineering (1 credit each)
This course will cover timely topics in biomedical research and practice. This course may be repeated for a total of 2 credits.

Elective Courses

Introduction to Biomedical Imaging (3 credits)
This course provides a comprehensive introduction to modern biomedical imaging modalities that are currently employed in both biomedical research and clinical medicine. Imaging modalities covered in this course include optical imaging, X-ray radiography, computed tomography (CT), ultrasound, nuclear medicine (SPECT and PET), and magnetic resonance imaging (MRI). The main objective is to offer students a solid understanding of each imaging modality through lectures and assignments. For each imaging modality, we will focus on basic physics, image formation and reconstruction, imaging hardware, and applications. Image analysis and signal processing methods will also be briefly introduced.

Digital Image Processing Using MATLAB (3 credits)
Digital image processing is an indispensable component in biomedical research and imaging. The goal of this course is to provide students a solid understanding of a variety of image processing techniques and their implementations with a focus on biomedical applications. Image processing methods will be introduced primarily using MATLAB. Other image processing software, such as ImageJ and GIMP, will also be briefly introduced. Knowing multiple image processing platforms offers students the freedom to choose the most appropriate one to tackle specific image processing tasks. Topics of this course include: image filtering in spatial- and frequency-domain, image restoration and reconstruction, image transformation and registration, color image processing, and morphological image processing.

Introduction to Tissue Engineering (3 credits)
The principles and practice of tissue engineering will be the focus of this course. Topics include strategies for employing selected cells, biomaterial scaffolds, soluble regulators of gene expression, role of stem cells, and mechanical loading and culture conditions, Tissue fabrication techniques as well as the role of bioreactors in tissue development will be explored. Students will investigate using current literature the application of tissue engineering to specific organs.

Mathematical Modeling in Cell & Tissue Engineering (3 credits)
This course addresses dynamic mathematical models of biochemical and genetic networks. Emphasis on how modeling can enhance understanding of cell phenomena. Topics include chemical reaction networks, biochemical kinetics, signal transduction pathways with emphasis on receptor-mediated phenomena, metabolic networks, and gene regulatory networks. Students will use current literature and programming to investigate specific models and their predictive power for biological and tissue engineering applications.

Biomedical Optics (3 credits)
This course covers theoretical foundations of biomedical optics, including light-tissue interactions and optical imaging and sensing methods. Emphasis will be placed on skin optics and photoacoustic phenomena. Students will perform computational modeling, including Monte Carlo simulations of photon transport in turbid media.

Environmental Adaptations & Rehabilitation Technology (3 credits)
Assessment and modification of the physical environment to enhance occupational performance including computer resources, assistive technology, home health, environmental controls, and environmental accessibility.

Biomed Microdevices I (3 credits)
This introductory course will cover fundamentals of micro/nanotechnology and its applications in biomedical sciences. The course will provide rationale for utilizing micro/nanotechnology for biomedical applications including scaling laws. Basic microfabrication methods and design principles of microfluidics, lab-on-a-chip and microelectromechanical systems (MEMS) used in biology and medicine will be presented. Students will gain a broad perspective on applied research and commercial applications of biomedical microsystems.

Biomed Microdevices II (3 credits)
This is an advanced course in the interdisciplinary field of biomedical microdevices. This course will build upon a fundamental understanding of the principles of micro- and nanoscale system design to explore state-of-the-art applications of biomedical microdevices. Students will learn about the cutting-edge micro/nanofabrication techniques and its most recent applications in biomedical sciences through in depth analysis of recent publications.

FDA Approval Process for Medical Devices (3 credits)
Currently, the global medical device industry is valued at over $450B, with a CAGR anticipated to be greater than 4%. In 2020 alone, the US FDA approved or cleared more than 600 newly developed or modified medical and diagnostic devices for use. Today's challenge is not only in gathering relevant regulatory information, but also in knowing how to interpret and apply it. This course provides an overview of FDA and select international regulations associated with medical devices, and those requirements to be followed when submitting one for approval or clearance. Examples of topic areas include: The Structure of the FDA and global approval agencies, Framework of regulatory approvals, Classification of medical devices for approval, Relevant US and international test methodologies, Guidance for conducting clinical trials, Good manufacturing practices and quality systems to be adopted, and Surveillance of medical devices. Individuals engaged in the development of medical devices and diagnostic tools, as well as those in healthcare studies wishing to learn more about their evaluation and approval, would benefit from information discussed in this course.