Master Program Requirement

Master’s Degree

Undergraduate
Preparation for Admission

The graduate program
in Bioengineering will accept students who show strong scientific aptitude,
excellent communication skills, and motivation to pursue an intensive course of
study. Students will be expected to exceed the minimum acceptance criteria of
the Henry Samueli School of Engineering and Applied Science and provide
evidence they are interested in pursuing a career in bioengineering or a
related discipline.

 

Many potential
applicants to our graduate program in bioengineering may either lack sufficient
training in mathematics, physics, and engineering (i.e. students with
undergraduate life sciences degrees) or biology and chemistry (i.e. students
with undergraduate degrees in mechanical, electrical, materials engineering,
etc.).  As a general rule we will require
thorough preparation in all of these areas, however, we anticipate that in some
cases we will admit top-tier students with undergraduate training in a subset
of these areas who show evidence of interest in interdisciplinary
bioengineering career goals.  As will be
discussed later, there is a mechanism in place in our curriculum to ensure
these students are trained in the full set of these disciplines before
graduation.

 

Specific requirements
for admission include the following prerequisites: 1 year of college-level
biology, 1 semester (or 2 quarters) of organic chemistry, 1 quarter of physical
or biophysical chemistry, mathematics through differential equations, and 1
year of college-level physics. 
Applicants must also demonstrate academic excellence as indicated by
competitive grades in undergraduate coursework and/or excellence in
undergraduate research. Other factors of importance are included on our admissions
evaluation form that we currently use in determining admissions to the existing
BME IDP (e.g. GRE scores, research experience, and publications) and will be
retained for the Bioengineering graduate program.

 

Advising

Each
department or program in the Henry Samueli School of Engineering and Applied
Science has a graduate adviser. A current list of graduate advisers may be
obtained from the Office of the Associate Dean for Academic and Student
Affairs, 6426 Boelter Hall, Henry Samueli School of Engineering and Applied
Science. This list is also available from the Department of Bioengineering.

Students
are assigned a faculty adviser upon admission to the School. Advisers may be
changed upon written request from the student. All faculty in the School serve
as advisers.

New
students should arrange an appointment as early as possible with the faculty
adviser to plan the proposed program of study toward the M.S. or Ph.D. degree.
Continuing students are required to confer with the adviser during the time of
enrollment each quarter so that progress can be assessed and the study list
approved.

Based
on the quarterly transcripts, student records are reviewed at the end of each
quarter by the departmental graduate adviser and Associate Dean for Academic
and Student Affairs. Special attention is given if students were admitted
provisionally or are on probation. If their progress is unsatisfactory,
students are informed of this in writing by the Associate Dean for Academic and
Student Affairs.

Students
are strongly urged to consult with the program student office staff and/or the
Office of Academic and Student Affairs regarding procedures, requirements, and
the implementation of policies. In particular, advice should be sought on on
the procedures for taking M.S. comprehensive examinations and Ph.D. preliminary
examinations, on advancement to candidacy, on the procedures for filing the
thesis for those who choose the thesis option, and on the use of the Filing
Fee. Students are also urged to become familiar with the sections on
Termination of Graduate Study and Appeal of Termination at the end of this
document.

Areas
of Study


Field 1: 
Molecular Cellular Tissue Therapeutics (MCTT)

This field of emphasis covers novel
therapeutic development across all biological length scales from molecules to
cells to tissues. At the molecular and cellular levels, this area of research
encompasses the engineering of biomaterials, ligands, enzymes, protein-protein
interactions, intracellular trafficking, biological signal transduction,
genetic regulation, cellular metabolism, drug delivery vehicles, and cell-cell
interactions, as well as the development of chemical/biological tools to
achieve this. At the tissue level, this field encompasses two sub-fields which
include biomaterials and tissue engineering. The properties of bone, muscles
and tissues, the replacement of natural materials with artificial compatible
and functional materials such as polymers, composites, ceramics and metals, and
the complex interactions between implants and the body are studied at the
tissue level. The emphasis of research is on the fundamental basis for
diagnosis, disease treatment, and re-design of molecular, cellular, and tissue
functions. In addition to quantitative experiments required to obtain spatial
and temporal information, quantitative and integrative modeling approaches at
the molecular, cellular, and tissue levels are also included within this field.
Although some of the research will remain exclusively at one length scale,
research that bridges any two or all three length scales are also an integral
part of this field. Graduates of this program will be targeted principally for
employment in academia, government research laboratories, and the
biotechnology, pharmaceutical, and biomedical industries. 

 

Field 2: 
Biomedical Instrumentation (BMI)

This field of emphasis is designed to train bioengineers interested in the applications and development of
instrumentation used in medicine and biotechnology. Examples include the use of
lasers in surgery and diagnostics, new micro electrical machines for surgery,
sensors for detecting and monitoring of disease, microfluidic systems for
cell-based diagnostics, new tool development for basic and applied life science
research, and controlled drug delivery devices. The principles underlying each
instrument and specific clinical or biological needs will be emphasized.
Graduates of this program will be targeted principally for employment in
academia, government research laboratories, and the biotechnology, medical
devices, and biomedical industries. 

 

Field 3: 
Imaging, Informatics and Systems Engineering (IIS).

This field consists of the following four
subfields:  Biomedical Signal and Image
Processing (BSIP), Biosystem Science and Engineering (BSSE), Medical Imaging
Informatics (MII), and NeuroEngineering (NE).

Subfield
1:   Biomedical Signal and Image Processing (BSIP)

The
Biomedical Signal and Image Processing (BSIP) graduate program prepares
students for a career in the acquisition and analysis of biomedical signals;
and enables students to apply quantitative methods applied to extract
meaningful information for both clinical and research applications. The BSIP program
is premised on the fact that a core set of mathematical and statistical methods
are held in common across signal acquisition and imaging modalities and across
data analyses regardless of their dimensionality. These include signal
transduction, characterization and analysis of noise, transform analysis,
feature extraction from time series or images, quantitative image processing
and imaging physics. Students in the BSIP program have the opportunity to focus
their work over a broad range of modalities including electrophysiology,
optical imaging methods, MRI, CT, PET and other tomographic devices and/or on
the extraction of image features such as organ morphometry or neurofunctional
signals, and detailed anatomic/functional feature extraction. The career
opportunities for BSIP trainees include medical instrumentation, engineering
positions in medical imaging, and research in the application of advanced
engineering skills to the study of anatomy and function.


Subfield 2:  Biosystem Science and
Engineering (BSSE)

Graduate study in Biosystem Science and Engineering (BSSE) emphasizes the
systems aspects of living processes, as well as their component parts.  It is intended for science and engineering
students interested in understanding biocontrol, regulation, communication,
measurement or visualization of biomedical systems (of aggregate parts – whole
systems), for basic or clinical applications. 
Dynamic systems engineering, mathematical, statistical and multiscale
computational modeling and optimization methods – applicable at all biosystem
levels – form the theoretical underpinnings of the field.  They are the paradigms for exploring the integrative
and hierarchical dynamical properties of biomedical systems quantitatively – at
molecular, cellular, organ, whole organism or societal levels – and leveraging
them in applications.  The academic
program provides directed interdisciplinary biosystem studies in these areas –
as well as quantitative dynamic systems biomodeling methods – integrated with
the biology for specialized life science domain studies of interest to the
student.  Typical research areas include
molecular and cellular systems physiology, organ systems physiology, medical,
pharmacological and pharmacogenomic system studies; neurosystems, imaging and
remote sensing systems, robotics, learning and knowledge-based systems,
visualization and virtual clinical environments.  The program fosters careers in research and
teaching in systems biology/physiology, engineering, medicine, and/or the
biomedical sciences, or research and development in the biomedical or
pharmaceutical industry.

Subfield 3:  Medical
Imaging Informatics (MII)

Medical imaging informatics (MII) is the
rapidly evolving field that combines biomedical informatics and imaging,
developing and adapting core methods in informatics to improve the usage and
application of imaging in healthcare. Graduate study in this field encompasses
principles from across engineering, computer science, information sciences, and
biomedicine. Imaging informatics research concerns itself with the full
spectrum of low-level concepts (e.g.,
image standardization and processing; image feature extraction) to higher-level
abstractions (e.g., associating
semantic meaning to a region in an image; visualization and fusion of images
with other biomedical data) and ultimately, applications and the derivation of
new knowledge from imaging. Notably, medical imaging informatics addresses not
only the images themselves, but encompasses the associated (clinical) data to
understand the context of the imaging study; to document observations; and to
correlate and reach new conclusions about a disease and the course of a medical
problem. Research foci include distributed medical information architectures
and systems; medical image understanding and applications of image processing;
medical natural language processing; knowledge engineering and medical
decision-support; and medical data visualization. Coursework is geared towards
students with science and engineering backgrounds, introducing them to these
areas in addition to providing exposure to fundamental biomedical informatics,
imaging, and clinical issues. This area encourages interdisciplinary training,
with faculty from multiple departments; and emphasizes the practical,
translational development and evaluation of tools/applications to support
clinical research and care.

Subfield 4:  NeuroEngineering
(NE)

The
NeuroEngineering (NE) subfield is designed to enable students with a background
in biological science to develop and execute projects that make use of
state-of-the-art technology, including microelectromechanical systems (MEMS),
signal processing, and photonics. Students
with a background in engineering will develop and execute projects that address
problems that have a neuroscientific base, including locomotion and pattern
generation, central control of movement, and the processing of sensory
information. Trainees will develop the capacity for the multidisciplinary
teamwork, in intellectually and socially diverse settings, that will be
necessary for new scientific insights and dramatic technological progress in
the 21st century. NE students take a curriculum designed to encourage
cross-fertilization of the two fields. Our goal is for neuroscientists and
engineers to speak each others’ language and move comfortably among the
intellectual domains of the two fields.


Foreign Language Requirement

None.


Course Requirements

At least 12 courses (44 units) are required, at least ten  of which must be from the 200 series.  For the thesis plan, a minimum of seven must
be formal courses and two must be 598 courses involving work on the thesis. For
the comprehensive examination plan, no units of 500-series courses may be
applied toward the minimum course requirement except for the field of medical
imaging informatics where 2 units of 597A are required. Lower division courses
may not be applied toward a graduate degree. To remain in good academic
standing, an M.S. student must maintain an overall grade-point average of 3.0
and a grade-point average of 3.0 in graduate courses.

By the end of the first quarter in residence, students design a course
program in consultation with and approved by their faculty adviser.

 

Field 1: 
Molecular Cellular Tissue Therapeutics (MCTT)

Group I consists of
Core Courses on General Concepts: Bioengineering C201, C204, C205, and C206, 299, 495

Group II consists of
Field Specific Courses:  Bioengineering
100, 110, 120, 176, Bioengineering CM278, C283, C285

Group
III consists of Field Elective Courses. Bioengineering 180;
Biomathematics 201, M203, M211, 220 M270, M271; Bioengineering M215, M225,
CM240, CM245, C287 (renumbered to C247); Chemistry 153A, 153B, M230B, CM260A, CM260B, C265, 269A, 269D,  277, C281; Materials
Science and Engineering 110, 111, 200, 201; Mechanical and Aerospace
Engineering 156A, 168; Molecular Cell Development Biology 100, M140, 144, 165A,
C222D, 224, M230B, M234; Microbiology, Immunology and Molecular Genetics
185A; Molecular & Medical Pharmacology M110A, M110B, 203, 211A, 211B,
288; Neuroscience 205; Pathology M237, 294

Other Electives (Recommend
on a case-by-case basis)

 

Field 2: 
Biomedical Instrumentation (BMI)

Group I:  Core Courses on General Concepts:  Bioengineering C201, C204, C205, and C206,
299, 495

Group II:  Field Specific Courses:  Bioengineering CM250A, Electrical Engineering
100.

Group
III:  Field Elective Courses:   Electives
are broken down into three categories to aid students in choosing classes for a
particular thrust area in BMI.

Microfluidics,
MEMS, and Biosensors:
  Bioengineering CM250L, M260, 282; Chemical
and Biomolecular Engineering C216; Chemistry 118, 156; Electrical Engineering
102, 110, 110L; Mechanical & Aerospace Engineering 103, 150A, 150G, M168,
250B, C250G, 250M, 281, M287; Microbiology, Immunology and Molecular Genetics
185A, 229; Molecular, Cellular and Development Biology 165A, 168, M175A-B, M272

Surgical/Imaging
Instrumentation: 
Bioengineering 224A, CM240, C270,
C271, C272; Biomathematics M230, Electrical Engineering 176, Mechanical &
Aerospace Engineering 171A, 263D

Bionanotechnology
& Biophotonics: 
Bioengineering C251, C270, C271 ,
Chemistry and Biochemistry C240; Electrical Engineering 121B, 128, 150DL, 172,
M217, 225, 274, ; Mechanical and Aerospace Engineering 258A, C287L, M287 

Other Electives (Recommend
on a case-by-case basis)

 

Field 3: 
Imaging, Informatics and Systems Engineering (IIS)

This field
consists of the following four subfields: 
Biomedical Signal and Image Processing (BSIP), Biosystem Science and
Engineering (BSSE), Medical Imaging Informatics (MII), and NeuroEngineering
(NE).

Subfield
1:   Biomedical Signal and Image
Processing (BSIP)

All BSIP students are expected to
achieve and demonstrate competency in core areas that are fundamental to their
career and research. These include a general exposure to the field of Bioengineering,
knowledge of human or animal anatomy and physiology, broad exposure to the
technologies of medical imaging, and a high level of skill in digital
signal/image processing.

BSIP
students are required to complete coursework in each of the three group areas
below; BSIP students must also complete a research ethics course.

Group
I:  Core Courses on General Concepts

Bioengineering Core:
Bioengineering  C201 or CM286B

Anatomy and
Physiology Core:  Either Bioengineering
CM202 & CM203 or Physiological Science 166 & Molecualr Cell Development Biology 144.

Ethics:  One of the following – Bioengineering 165EW,
Neuroscience 207, Microbiology, Immunology, and Molecular Genetics C134, or
Biomathematics M261
Bioengineering Seminar – Three quarters of Bioengineering 299

Teaching Assistant
Training – One quarter of Bioengineering 495

Group II:  Subfield Specific Courses (minimum of three
required)

Biomedical Physics 205, M219. M248. Electrical
Engineering 239AS, 266, Neurobiology M200C,
Neuroscience CM272, M284, M287

Group
III:  Subfield Elective Courses (used to
complete the Group II/III seven course requirement)

Bioengineering 100, 120,  223A-223B-223C, 224A,
M261A-M261B-M261C, Biomedical Physics 210, 217, 218, 222, 227,
M230,
Biostatistics 238, Computer
Science 269, Electrical Engineering 102, 113, 151A-151B, 208A, 210A, 211A, 211B, 212A, CM224, M231, 236A, 236B, 273, Mathematics 155, 133, 270A, 270B-270C, 270D-270E, 270F

Other Electives (Recommend
on a case-by-case basis)

Subfield 2:  Biosystem Science and
Engineering (BSSE)

BSSE
students are required to complete coursework in each of the three group areas
below.

Group
I:  Core Courses on General Concepts

Physiology:
molecular, cellular & organ system biology: 
Either Bioengineering CM202 & CM203 — or — Physiological Science
166 & either Molecular Cell Developmental Biology 140 or 144 (or other
equivalent approved courses).

Dynamic biosystems
modeling, estimation & optimization: 
Bioengineering CM286B and either Bioengineering M296B or Biomathematics
220

BE 299, BE 495

Group II:  Subfield Specific and Elective Courses

These should be
chosen in consultation with and approval of the faculty advisor.

Bioengineering
C204, C205, C206, M217, CM245, M248, M260, C283, and M296D, Biomathematics 201,
206, 208A or B, 213, M230, Chemistry CM260A, CM260B, Electrical Engineering
102, 103, 113, 131A, 132A, 136, 141, 142, 210B, 232E, 240B, M240C, 241A, 241C, M242A, 243, CM250A, CM250L, M252, 260A, 260B, Computer Science 161,
CM224, 267B  Math 134, 136, 151A, 151B,
155, 170A, 170B, 171, Mechanical and Aerospace Engineering 107, 171A, Physiological
Science 135, M200

      
Group III:  Ethics Courses (One of the
following):

Bioengineering
165EW, Biomathematics M261, Neuroscience 207, Microbiology, Immunology, Molecular
Genetics C134

Subfield 3:  Medical
Imaging Informatics (MII)

MII coursework is designed to expose students to a wide
variety of current clinical and imaging informatics topics. Students are
required to demonstrate proficiency across the core areas and fundamentals
comprising the field, including: human anatomy/physiology; medical imaging;
medical informatics; and a high degree of skill in programming and
understanding of computer science. Additionally, MII students must complete a research
ethics course.

Group
I:  Core Courses on General Concepts: Bioengineering
220, 221 or CM202 & CM203, M227, 223A, 223B, 223C, M228, 224B, and M226, 299, 495

Group II:  Subfield Specific Courses

Minor 1 (Information
networks and data access in the medical environment): Computer Science 240A,
241A, 244A, 245, 246, 217A, Electrical Engineering 211A.

 Minor 2 (Computer
understanding of text and medical information retrieval): Computer Science
263A, 263B, 276A, Information Studies 228, 246, 277, Linguistics 218, 232

 Minor 3 (Computer
understanding of images): Biomedical Physics 210, 214, Computer Science 268,
276B, Electrical Engineering 211A, M217, 221B, Neurosceince CM272

 Minor 4 (Probabilistic
modeling and visualization of medical data): Biostatistics 213, M234, 276, Computer
Science 241B, 262A, 262B, M262C, 265A, Information Studies 272

Group III:  Ethics Courses (One of the
following)

Bioengineering
165EW, Biomathematics M261, Microbiology, Immunology and Molecular Genetics C134,
Neuroscience 207

Subfield 4:  NeuroEngineering
(NE)

Group
I:  Core Courses on General Concepts

Bioengineering
concentration: Bioengineering C201 or CM286

Human
body concentration:  Bioengineering CM202
& CM203 or Physiological Science 166 & Molecular, Cell, Development
Biology 144

BE 299, 495

Group II:  Subfield Specific Courses

Bioengineering M260,
M261A, M284A

Group III:  Subfield Elective Courses

Electronic engineering concentration

MEMS: Electrical Engineering
M250A, M250B, M250L, M252

Signal Processing & VLSI: Electrical Engineering
210A, 214A, 214B, 216B

Chemical Engineering:
Chemical Engineering C215, C225

Neuroscience concentration

Bioengineering C206, M263, Neuroscience M201,
M202, M203, 205

Group IV:  Ethics Courses (One of the following)

Bioengineering
165EW, Biomathematics M261, Microbiology, Immunology and Molecular Genetics C134,
Neuroscience 207

 

Teaching
Experience

 

Not required

 

Field
Experience

 

Not required.


Comprehensive Plan

The comprehensive examination plan is available in all fields.  The requirements for fulfilling the
comprehensive exam varies for each field. 
Specific details about the comprehensive examination in each field is
available from the Graduate Advisor. Students who fail the examination may
repeat it once only, subject to the approval of the faculty examination
committee. Students who fail the examination twice are not permitted to submit
a thesis and are subject to termination. The oral component of the Ph.D.
Preliminary Examination is not required for the M.S. degree.

Students
are required to complete the comprehensive exam no later than the end of Winter
quarter during their first academic year.

Thesis
Plan

New
M.S. students who choose the thesis plan are expected to submit the name of the
thesis adviser to the Graduate Adviser by the end of their first quarter in
residence. The thesis adviser serves as chair of the thesis committee. A
research thesis is to be written on a bioengineering topic approved by the
thesis adviser. The thesis committee consists of the thesis adviser and two
other qualified faculty members, who must be selected from the list of BE core,
joint, or interdisciplinary research faculty. 

Time-to-Degree

The
normal length of time for completion of the M.S. degree under the comprehensive
examination plan is one year. The normal length of time for completion of the
M.S. degree under the thesis plan is two years.