Joint-Degree Program with Marquette University
Doctor of Philosophy
Program Admissions Requirements
In addition to the general Graduate School admission requirements, this program has additional specific requirements.
The Graduate School of Biomedical Sciences at the Medical College of Wisconsin and the Graduate School of Marquette University have the following requirements for admission: bachelor’s degree in engineering or physics, substantial background in biology or chemistry appropriate to enrolling in graduate level engineering and physiology courses.
Program Degree Requirements
The Functional Imaging program has a requirement of 65 course credits to complete. Required courses are as follows (course descriptions are listed separately):
Required Courses (35 total credits):
* Indicates Marquette University course number. All Marquette University courses require an off-campus course registration procedure.
08202 General Human Physiology
BIEN 5500* Medical Imaging Physics
BIEN 6200* Biomedical Signal Processing
BIEN 6500* Mathematics of Medical Imaging
BIEN 8110* Research Methodologies I
BIEN 8120* Research Methodologies II
BIEN 6953* Seminar in Biomedical Engineering
03239 Functional MRI Contrast Mechanisms and Applications
MSCS 5720* Statistical Methods (Or 04200 Biostatistics I)
EECE 6010* Advanced Engineering Mathematics (Or MEEN 6101* Advanced Engineering Analysis)
Required Dissertation [Research] (12 credits)
FI 15399* Doctoral Dissertation
BIEN 8999* Doctoral Dissertation
Elective Courses (18 total credits)
08205 Integrated Neuroscience
08263 Cardiovascular Physiology
08253 Advanced Renal Physiology
01211 Advanced Systems Neuroscience
BIOL 5703* Exercise Physiology
BIOL 8501* Cellular and Molecular Neuroscience
BIOL 8502* Systems Neuroscience
BIOL 8702* Systems Physiology
BIOL 8703* Advanced Physiology
BIEN 5510* Image Processing for the Biomedical Sciences
BIEN 6400* Biofluid Mechanics
BIEN 6410* Biological Mass Transfer
BIEN 6300* Advanced Topics in Biomedical Instrumentation
BIEN 6210* Advanced Biomedical Signal Processing
03239 Functional MRI Contrast Mechanisms & Applications
03240 Fourier Transforms
MSCS 5760* Time Series Analysis
MSCS 6040* Linear Algebra
04201 Biostatistics II
04265 Nonparametric Statistics
Fields of Research
Functional Magnetic Resonance Imaging
X-ray Microfocal Imaging and Tomography
Mathematical Modeling in Organ Physiology
BIEN 6200* Biomedical Signal Processing. 3 credits. Prerequisites: MATH 2451 and knowledge of C or MATLAB.
This course introduces students to statistical processing of biomedical data. Topics include data acquisition, probability and estimation, signal averaging, power spectrum analysis, windowing, digital filters, and data compression. Students will complete several computer projects that apply these processing methods to physiological signals.
BIEN 6500* Mathematics of Medical Imaging. 3 credits.
This course will begin with an overview of the application of linear systems theory to radiographic imaging (pinhole imaging, transmission and emission tomography). The mathematics of computed tomography including the analytic theory of reconstructing from projections and extensions to emission computed tomography and magnetic resonance imaging will be covered. Topics may also include three-dimensional imaging, noise analysis and image quality, and optimization.
BIEN 8110* Research Methodologies I. 3 credits.
Development of research aims and hypotheses, identification of relevant scientific literature, experimental approaches, statistical design, and pilot work to obtain preliminary results. Written communication of research theme will be emphasized. The course project will consist of the development of a research proposal including research aims, background, pilot experiments, and experimental design and methodology.
BIEN 8120* Research Methodologies II. 3 credits.
Oral and written communication of research results including graphics and text. Graphical presentation of data and conceptual development of a scientific presentation and a manuscript will be addressed. The basics of clear and effective scientific communication will be emphasized. Work will culminate in the development of a scientific manuscript for peer review.
EECE 6010* Advanced Engineering Mathematics. 3 credits. Prerequisite: MATH 2451 or equivalent and proficiency in computer programming.
Linear algebra and matrix theory, ordinary differential equations, partial differential equations, and complex variables emphasizing both theoretical and numerical aspects as well as engineering applications.
MEEN 6101* Advanced Engineering Analysis I. 3 credits. Matrices and linear algebra with applications. Tensor analysis and applications. Calculus of variation. Green’s function techniques. Complex variable theory and applications. Topics in ordinary and partial differential equations.
MATH 5720* Statistical Methods. 3 credits. Prerequisite: one semester of calculus.
An introductory applications-oriented course recommended for students who wish to acquire a basic understanding of statistical methods. Topics include descriptive statistics, probability, discrete and continuous distributions; treatment of data, point and internal estimation, hypothesis testing; large and small sample methods, regression and correlation; analysis of variance, non-parametric methods, multiple comparisons. Application oriented.