Prospective Students blue bullet Current Students blue bullet Postdoctoral Scholars blue bullet Visiting Scholars blue bullet Faculty & Staff
UCLA Graduate Division Logo
 Search & Site Map   
ruler line  
Academic Programs
Admissions
Degree Info
ruler line  
Deadlines
Diversity
Financial Support
ruler line  
Forms
Publications
Events/News
ruler line  
About Us
Vice Chancellor/Dean
Graduate Deans
Graduate Council

2007-2008 Program Requirements for UCLA Graduate Degrees

Applicable only to students admitted during the 2007-2008 academic year.

Biomedical Engineering

Interdepartmental Program
Henry Samueli School of Engineering and Applied Science

Graduate Degrees

The Biomedical Engineering Program offers the Master of Science (M.S.) and Doctor of Philosophy (Ph.D.) degrees in Biomedical Engineering.

Admission

Program Name

 
Biomedical Engineering

Biomedical Engineering is an interdepartmental program.  Interdepartmental programs provide an integrated curriculum of several disciplines.

Address

5121 Engineering V
Box 951600
Los Angeles, CA 90095-1600 

Phone

(310) 794-5945 

Email

bme@ea.ucla.edu  

Leading to the degree of

M.S., Ph.D. 

Admission Limited to

Fall 

Deadline to apply

December 15th 

GRE (General and/or Subject), TSE, TWE

GRE: General 

Letters of Recommendation 

3, detailing academic preparation, industrial or research laboratory training, and potential for future professional development 

Other Requirements

In addition to the University's minimum requirements and those listed above, all applicants are expected to submit the departmental application available on the departmental website (in addition to the online application for graduate admission), a clear and realistic statement of purpose, and a resume.

Applicants whose native language is not English must score at least 600 on the paper and pencil Test of English as a Foreign Language (TOEFL), 250 on the computer-based TOEFL, or 100 on the internet-based TOEFL, or receive an overall band score of 8.0 on the International English Testing System (IELTS) examination to be considered for admission.

M.S.: The statement of purpose should relate reasons for seeking admission. Applicants should have a B.S. degree or its equivalent in engineering, life science, or physical science.

Ph.D.: Applicants should have a B.S. degree or its equivalent, with a grade point average in the final two years of not less than 3.00, in engineering, life science, or physical science.Admission to the Ph.D. program is granted to a small group each year, according to the following criteria: (1) Evidence of capacity for original scholarship and research in the field of Biomedical Engineering through publications; (2) outstanding GRE scores and references; and (3) demonstration of adequate communication skills, particularly in writing, in the work submitted.

Neuroengineering

Applicants who wish to enter the field of neuroengineering apply to either the Ph.D. program in Biomedical Engineering in the Henry Samueli School of Engineering and Applied Science or to the Ph.D. program in Neuroscience in the School of Medicine. Applicants to neuroengineering must have an undergraduate degree in engineering, physics, chemistry, or one of the life sciences (for example, biology, microbiology and molecular genetics, molecular, cell, and developmental biology, neuroscience, physiology or psychology). Engineering students must have taken at least one undergraduate course in biology, one course in chemistry, and a year of physics. Students from non-engineering backgrounds are required to have taken courses in undergraduate calculus, differential equations, and linear algebra, in addition to at least a year of undergraduate courses in each of the following: organic chemistry and biochemistry, physics, and biology. Students lacking one or more prerequisite courses may be admitted and provided with appropriate coursework or tutorials during the summer before matriculation. 

Master's Degree

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. 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 advancement to candidacy for the M.S. degree, on the procedures for taking Ph.D. preliminary examination for those who choose the comprehensive examination option, 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

Bioacoustics, Speech, and Hearing

This program is designed to develop biomedical engineers who can apply concepts and methods of engineering and physical and biological sciences to solve problems in speech and hearing. To meet this goal, the program combines a rigorous curriculum in quantitative methods for studying speech and hearing and an exposure to biomedical issues.

Biocybernetics

Graduate study in biocybernetics is intended for science or engineering students interested in systems biology or biosystems, with the emphasis on systems and integration. This encompasses the systems engineering/cybernetics-based integrative machinery for studying hierarchical and/or integrative properties or behavior of living systems. This includes regulation, control, communication, integration and intercommunication mechanisms and their associated measurement, visualization and mathematical and computer modeling. The program provides directed interdisciplinary biosystem studies, to establish a solid foundation in system and information science, mathematical modeling, measurement, and integrative biosystem science, as well as related, specialized life science domain studies. The program fosters careers in research and teaching in systems biology, engineering, medicine, and/or the biomedical sciences, or research and development in the biomedical or pharmaceutical industry.

Biomechanics, Biomaterials, and Tissue Engineering

Design and processing of biomaterials to engineering the appropriate three dimensional microenvironment with the specified temporal spatial presentation of molecular, biochemical, biomechanical, and bioelectrial cues to activate the appropriate pattern of signal transduction and simulation of progenitor cells to regenerate functional tissues. Modeling of interactions between host and biomaterials, multi-scale biomechanics, and moving boundary problems in maturing tissues.

Biomedical Instrumentation

This program is designed to train biomedical engineers interested in the applications and development of instrumentation used in medicine and biotechnology. Examples include the use of lasers in surgery and diagnostics, sensors for detecting and monitoring of disease, and microelectromechnical systems (MEMS) devices for controlled drug delivery, surgery, or genetics. The principles underlying each instrument and the specific needs in medical application will be emphasized.

Biomedical Signal/Image Processing and Bioinformatics

The field of biomedical signal/image processing and bioinformatics encompasses techniques for the acquisition, processing, classification, and analysis of digital biomedical information. The program is designed to provide advanced training in processing biomedical signals, images, and related information, classification, and analysis of biomedical data, and decision support of clinical processes. Sample applications include: (1) digital imaging research utilizing modalities ranging from x-ray imaging, MR and CT, to PET and SPECT, to optical microscopy, to combinations such as PET/MR; (2) signal processing research on hearing to voice recognition to wireless sensors; and (3) bioinformatics research ranging from image segmentation for content-based retrieval from databases to correlating clinical findings with genomic markers. Graduates of this program will be able to integrate advanced digital processing and artificial intelligence technologies with health care activities and biomedical research. They will be prepared for careers involving innovation in the fields of signal processing, medical imaging, and medical-related informatics in either industry or academia.

Medical Imaging Informatics

The objective of this field is to train students in imaging-based medical informatics. The program's specific aims are: (1) to enable students with a background in engineering to become familiar with aspects of clinical and medical environments so that they can apply their skills and knowledge in these domains; (2) to enable students with a background in medicine to learn sufficient expertise in current information and engineering technologies to address specific problems within clinical environments; (3) to enable all students in the program to become experts within the field of imaging-based informatics and to become experienced in dealing with diverse medical data (imaging and text); (4) to enable all students in the program to learn to work in a multidisciplinary group of researchers and individuals and thus to facilitate new developments within the field.

The underlying goal of this field is to foster a community for students and faculty from multiple disciplines (represented by scholars from the Henry Samueli School of Engineering and Applied Science, the David Geffen School of Medicine, the School of Public Health, and the Department of Information Studies) to participate in the growing area of medical imaging informatics.

Molecular and Cellular Bioengineering

The field of molecular and cellular bioengineering encompasses the engineering of enzymes, cellular metabolism, biological signal transduction, trafficking of proteins in cells, and cell-cell interactions. The emphasis of research is on the fundamental basis for diagnosis, disease treatment, and redesign of cellular functions at the molecular level. This field of study interacts closely with others such as bioinstrumentation (MEMS), tissue engineering, and neuroengineering. Graduates of this program are targeted principally for employment in academia; in government research laboratories; and in the biotechnology, pharmaceutical, and biomedical industries.

Neuroengineering

The neuroengineering program is a joint endeavor between the interdepartmental degree programs in Neuroscience in the School of Medicine and Biomedical Engineering in the Henry Samueli School of Engineering and Applied Science, with the active involvement of scientists and technologists from the Jet Propulsion Laboratory. The objectives of the neuroengineering sub-field are (1) to enable students with a background in engineering to 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; (2) to enable students with a background in biological science to develop and execute projects that make use of state-of-the-art technology, such as microelectromechanical systems (MEMS), signal processing and photonics; in preparing students to use new technology, the program also will introduce them to basic concepts in engineering that are applicable to the study of systems neuroscience, such as signal processing, communication and information theory; and (3) to enable students to develop the capacity for the multidisciplinary team work that is necessary for new scientific insights and dramatic technological progress. Courses and research projects are co-sponsored by faculty in the Henry Samueli School of Engineering and Applied Science and the Brain Research Institute (BRI).

Foreign Language Requirement

None.

Course Requirements

For all fields other than medical imaging informatics, at least 12 courses (42 units) are required, at least eight of which must be from the 200 series. For the field of medical imaging informatics, 11 courses (40 units) are required, all of which must be from the 200 series. For the thesis plan, seven of the 12 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. 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.

Group I consists of core courses. Students are required to take all of the courses in this group as indicated in each field.

Group II consists of elective courses. Students are required to fulfill the remaining of the course requirements from courses in this group as indicated in each field.

Bioacoustics, Speech, and Hearing

Group I: Biomedical Engineering C201, CM202, CM203, M214A, 230.

Group II: Computer Science 276C, Electrical Engineering 214B, Linguistics 204, Neuroscience 274, Physiological Science 173, M290, Physics 114, Psychiatry 298, and other courses approved by the field chair.

Remedial courses are taken as necessary. For students without previous exposure to signal processing, courses recommended are: Electrical Engineering 102 and 113.

Biocybernetics

Group I: Biomedical Engineering C201, CM202, CM203, CM286B, and either Biomedical Engineering M296A or Biomathematics 220.

Group II: Biomathematics 206, CM208C, M230, Biomedical Engineering M248, M296D, Computer Science 161, 267B, Electrical Engineering 113, 132A, 141, 142, 211A, 211B, M214A, 214B, 232E, CM250A, M250B, 260A, 260B, Mathematics 151A, 151B, 155, 170A, Physics 210B, 231B, Statistics 100A, 100B, and other courses approved by the field committee.

Biomechanics, Biomaterials, and Tissue Engineering

Group I: Biomedical Engineering C201, CM202, CM203 and two from the following: Biomedical Engineering CM240, CM280, C281, 282, C285.

Group II: Biomedical Engineering 282, Chemical Engineering 260, Chemistry and Biochemistry 153A, 153B, 153C, CM153G, CM155, M230B, CM255, Materials Science and Engineering 150, 151, 160, 223, 243A, 246B, 246D, 250B, Mechanical and Aerospace Engineering 150A, 156A, 166C, M256A, M256B, M256C, 262, 297, Molecular, Cell and Developmental Biology CM220, Physiological Science M215, 250A, C250B, any non-duplicative biomedical engineering courses from the list above.

Biomedical Instrumentation

Group I: Biomedical Engineering C201, CM202, CM203, CM 250A, CM250L, CM280.

Group II: Biomedical Engineering CM240, CM250A, M250B, C270, C271, Electrical Engineering 221A, 221B, 221C, 223, 271, 272, Materials Science and Engineering 200, 201, 243A, 246D, Mechanical and Aerospace Engineering 157, 263A, 263D, CM280L, 281, 284.

Biomedical Signal / Image Processing and Bioinformatics

Group I: Biomedical Engineering C201, CM202, CM203, M214A, Electrical Engineering 113, 211A.

Group II: Biomedical Engineering M248, Biomedical Physics 200A, 200B, 219, 222, Biostatistics 420, Computer Science 143, 161, Electrical Engineering 211B, 214B.

Remedial courses are taken as necessary. Students without exposure to signal processing are recommended to take: Electrical Engineering 102, Program in Computing 10A, 10B.

Medical Imaging Informatics

Group I: Biomedical Engineering 220, 221, 222, 223A, 223B, 223C, 224A, 224B, 226, 227, 228

Group II: Biomedical Physics 210, 214, Biostatistics 213, M234, 276, Computer Science 217A, 240A, 240B, 241A, 241B, 244A, 245A, 246, 262A, 262B, M262C, 263A, 263B, 265A, 268, M276A, 276B, Electrical Engineering 206A, 211A, 211B, M217, Information Studies 228, 246, 272, 277, Linguistics 218, 232, Neuroscience CM272.

Molecular and Cellular Bioengineering

Group I: Biomedical Engineering C201, CM202, CM203, and two courses from the following: Biomedical Engineering M215, M225, CM245.

Group II: Biomathematics 220, M270, Chemistry M230B, CM253, CM255, C259A, C259B, 262, M263, C265, M267A, M267B, Biomedical Engineering M215, M225, CM245, CM286B, M296A, Microbiology, Immunology and Molecular Genetics C233, CM248, 261, Molecular, Cell & Developmental Biology CM220, M234.

Neuroengineering

Group I: Biomedical Engineering M260, M261A, M261B, M261C, Neuroscience M202, 207, either Biomedical Engineering M263 or Neuroscience 205, and any other graduate-level engineering courses approved by the student's adviser and the Neuroengineering field chair.

Group II: Biomedical Engineering C201, M214A, CM250A, M250B, CM250L, Electrical Engineering 113, 115A, 131B, 136, 142, 210A, 231A, Mechanical and Aerospace Engineering 284, Neuroscience 102, M201, M273, 274, Physiology 220.

Remedial courses are taken as necessary. For students without previous exposure to neuroscience, Neuroscience M101A and M101B. For students without previous exposure to signal processing and information theory, Electrical Engineering 102.

Teaching Experience

Not required.

Field Experience

Not required.

Comprehensive Examination Plan

The comprehensive examination plan, available for all fields except medical imaging informatics, requires a passing grade on the written portion of the Ph.D. Preliminary Examination. 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.

Thesis Plan

New students who choose this 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 (eight units of Biomedical Engineering 598) is to be written on a biomedical engineering topic approved by the thesis adviser. The thesis committee consists of the thesis adviser and two other qualified faculty members who are selected from a current list of designated members for the interdepartmental program.

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.

Page 2 -- Doctoral Degree

Program Requirements

Biomedical Engineering

 UCLA home  Did you find what you need?  About our site/© UC Regents  Contact us  Graduate Division home