Datamining in Bioinformatics by npk11277


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									Degree-Granting Bioinformatics Programs in the United States as

     State    State          University

                      University of Alabama -
Alabama      AL       Birmingham

                      Arizona State
Arizona      AZ       University

                      Univ of Arkansas at
                      Little Rock & Univ of
                      Ark. for Medical
Arkansas     AR       Science (UALR/UAMS)

                      California State
                      University Channel
California   CA       Islands (CSUCI

California   CA       Foothill College

                      Keck Graduate
                      Institute of Applied Life
California   CA       Sciences

California   CA       Stanford University
                  University of California
California   CA   - Berkeley

                  University of California
California   CA   - Irvine

                  University of California
California   CA   - Los Angeles

                  University of California
California   CA   - Los Angeles

                  University of California
California   CA   - Riverside

                  University of California
California   CA   - San Diego

                  University of California
California   CA   - San Diego

                  University of California
California   CA   - San Francisco

                  University of California
California   CA   - Santa Cruz

                  University of Southern
California   CA   California
                   University of Colorado
Colorado      CO   at Denver

Connecticut   CT   Yale University

                   Florida International
Florida       FL   University

Florida       FL   Florida State University

                   University of South
Florida       FL   Florida

                   Georgia Institute of
Georgia       GA   Technology

Idaho         ID   University of Idaho
                Northern Illinois
Illinois   IL   University

                University of Illinois at
Illinois   IL   Chicago

                University of Illinois at
Illinois   IL   Urbana-Champaign

                Indiana University at
Indiana    IN   Bloomington

                University -
Indiana    IN   Indianapolis

Iowa       IO   Iowa State University

                Johns Hopkins
                Bloomberg School of
                Public Health
Maryland   MD   (JHBSPH)

                Johns Hopkins
Maryland   MD   University
                   University of Maryland
Maryland     MD    University College

Massachusetts MA   Boston University

Massachusetts MA   Brandeis University

Massachusetts MA   Northeastern University

                   University of
Massachusetts MA   Massachusetts - Lowell

Massachusetts MA   Boston College

                   Michigan Technical
Michigan     MI    University

Michigan     MI    University of Michigan

Michigan           Grand Valley State
             MI    University

Minnesota    MN    University of Minnesota
                  Missouri Southern
Missouri     MO   State University

                  University of Missouri -
Missouri     MO   Kansas City

                  University of Missouri -
Missouri     MO   Kansas City

                  University of Nebraska
Nebraska     NE   - Omaha

New Jersey   NJ   Ramapo College

                  Stevens Institute of
New Jersey   NJ   Technology

                  University of Medicine
                  & Dentistry of New
New Jersey   NJ   Jersey (UMDNJ)

New Jersey
             NJ   Kean University

New Jersey   NJ   Princeton University
New York         NY   Canisius College

New York         NY   Columbia University

New York         NY   Polytechnic Institute

                      Rochester Institute of
New York         NY   Technology

New York         NY   New York University

New York         NY   Polytechnic Institute

New York         NY   University of Buffalo

North Carolina   NC   Duke University

                      North Carolina State
North Carolina   NC   University
                      University of North
North Carolina   NC   Carolina at Chapel Hill

                      University of North
North Carolina   NC   Carolina - Charlotte

Ohio             OH   University of Cincinnati

Ohio             OH   Wright State University

Oklahoma         OK   University of Oklahoma
                      Carnegie Mellon
Pennsylvania     PA   University

Pennsylvania     PA   Drexel University

                      University of
Pennsylvania     PA   Pennsylvania
                    University of
Pennsylvania   PA   Pittsburghh

                    University of the
                    Sciences at
Pennsylvania   PA   Philadelphia

                    Medical University of
South Carolina SC   South Carolina

                    University of South
South Carolina SC   Carolina

Tennessee      TN   University of Memphis

                    University of
                    Tennessee at
                    Knoxville and Oak
                    Ridge National
Tennessee      TN   Laboratory

                    Baylor College of
Texas          TX   Medicine

Texas          TX   Baylor University

Texas          TX   Rice University

Texas          TX   St. Edwards University
                  University of Texas -
Texas        TX   Austin

                  University of Texas -
Texas        TX   Dallas

                  University of Texas - El
Texas        TX   Paso
                  Brigham Young
Utah         UT   University

Virginia     VA   George Mason

Virginia     VA   University

                  Virginia Polytechnic
Virginia     VA   Institute
                  University of
                  Washington - Fred
                  Hutchinson Cancer
Washington   WA   Research Center
                   George Washington
Washington DC DC   University

Washington DC DC   Georgetown University

Wisconsin    WI    College of Wisconsin

                   University of
Wisconsin    WI    Wisconsin-Madison

                   University of
Wisconsin    WI    Wisconsin-Madison
                   University of
Wisconsin          Wisconsin-Parkside
rmatics Programs in the United States as of 12/2008


      MS in Computer and Information Sciences with Specialization
      in Bioinformatics, PhD in Computer Sciences with Biomedical

      MS and PhD in Biomedical Informatics

      MS and PhD in Bioinformatics, Undergraduate minors for
      IS/CS and Biology majors, Professional Certificate in
      Bioinformatics (PCB) and a Graduate Certificate in
      Bioinformatics (GCB) are under development

      Professional MS in Biotechnology and Bioinformatics

      Associate's Degree and Certificate in Bioinformatics

      Professional Masters of Bioscience, PhD Computational and
      Systems Biology

      Professional MS, Academic MS, PHD, Graduate Certificate
PhD with emphasis in Computational and Genomic Biology

MS and PhD Concentration in Informatics in Biology &
Medicine (IBAM)

(MS) PhD in Bioinformatics

BS in Computational and Systems Biology (Bioinformatics

PhD in Genomics and Bioinformatics

PhD in Bioinformatics

BS Computer Science with a Specialization in Bioinformatics,


BS major and minor in Bioinformatics, BS/Graduate option,
MS/PhD in Bioinformatics

PhD in Computational Biology and Bioinformatics
Bioinformatics PhD and Post-Doctoral Fellowships

PhD in Computational Biology and Bioinformatics (PhD en
route to PhD or for those leaving program early possible)

MS, PhD in Computer Science with Bioinformatics and
Computational Biology specialization

MS/PhD in Biomedical Mathematics

MS in Bioinformatics and Computational Biology, Graduate
Certificate in Bioinformatics

Professional and Traditional MS in Bioinformatics, PhD in

MS, PhD Bioinformatics and Computational Biology (BCB)
MS in Biological Sciences with Specialization in Bioinformatics,
Graduate Certificate

BS, MS, PhD in Bioengineering with Bioinformatics
Concentration; MEng with Bioinformatics focus; Certificate

MS in Bioinformatics (thesis and non-thesis options)

MS in Bioinformatics, PhD minor bioinformatics

MS in Bioinformatics, PhD in Informatics with Bioinformatics
focus, Doctoral minor


Master of Health Science (MHS) in Bioinformatics

MS in Bioinformatics
MS Biotechnology Studies w/ Bioinformatics Track; Graduate

MS-Bioinformatics, MS-Clinical Bioinformatics (MD Track),

MS Bioinformatics, Graduate Certificate in Bioinformatics

PSM (Professional Sciences Master's) in Bioinformatics

MS and ScD in Computer Science with Bio/cheminformatics

Ph.D. degree in Biology with Bioinformatics/Computational
Biology track

BS in Bioinformatics

PSM and MS in Bioinformatics, PhD

MS Medical and Bioinformatics - nonthesis

Graduate Minor is (available to Master's and Doctoral students)
BS in CIS - Bioinformatics (equivalent to Biology-CS double

BS in Biology w/ Bioinformatics Emphasis and MS in Cell and
Molecular Biology w/ Bioinformatics Emphasis

M.S. in Computer Science w/ Bioinformatics Emphasis; PhD in
Informatics w/ Bioinformatics Emphasis

BS in Bioinformatics (BSBI)

BS Bioinformatics Major

BS, MS, PhD in Chemical Biology w/concentration; Certificate

Graduate Certificate for MS and PhD students

MS in Biotechnology w/ Bioinformatics Concentration

Undergraduate Certificate in Quantitative and Computational
Biology, PhD with Quantitative and Computational Biology
BS with Bioinformatics Major

MA, PhD- both degrees in Biomedical Informatics with option
of concentration in Bioinformatics
BS in Bioinformatics and Molecular Biology, PhD in Biology
with research concentration in Bioinformatics and
Computational Biology (MS on the way to PhD may be an

BS, MS (PSM) and BS/MS (5 year) in Bioinformatics

PhD in Biology with Specialization in Genomics & Systems

MS in Bioinformatics

BS in in bioinformatics and computational biology (BCB)

PhD in Computational Biology and Bioinformatics (CBB),
Certificate Program in CBB

MS (non-thesis), PhD, Minor (for students pursuing a Ph.D. in
Functional Genomics or another discipline; there is no minor
offered for M.S. degrees)
MS Certificate of Specialization, PhD

PSM in Bioinformatics and PhD in Information Technology -
Bioinformatics track

MS, PhD in Biomedical Engineering with Specialization in

BS in Computer Science w/Bioinformatics option, BS in
Biology w/Bioinformatics option MS in CS (course of study can
be designed to include computational aspects of

Certificate in Bioinformatics

MS in Computational Biology

Undergraduate minor and MS from several departments with
Bioinformatics concentration; PhD in Integrated Bioinformatics

BS concentration for Biology, Computer Science, or
Mathematics major, Professional Master's in Biotechnology
(MB) w/concentration in Biology/Bioinformatics, PhD and post-
Doctoral training in Genomics and Computational Biology
MS, PHD in Biomedical Informatics with concentration in

non-thesis MS, BS into MS option (see other)

MS, PhD in Bioinformatics

PSM in Bioinformatics

MS in Bioinformatics

PhD in Bioinformatics (MS option for those not completing

PhD - Structural and Computational Biology and Molecular
Biophysics, MD/PhD

BS of Informatics w/ Bioinformatics major

MS in Computer Science w/ Concentration

BS in Bioinformatics
PhD in Cell and Molecular Biology with focus in Bioinformatics
and Computational Biology

MS in Bioinformatics and Computational Biology

PSM (Professional Sciences Master's) degree in Bioinformatics

BS in Bioinformatics

MS and PhD in Bioinformatics and Computational Biology, MS
in Bioinformatics Management, graduate Certificate in
Bioinformatics, undergraduate minor in Bioinformatics

BS, PSM, MS (thesis), BS/MS Accelerated Program (All
degrees in bioinformatics), PhD in Integrative Life Sciences
with focus on Bioinformatics

PhD in Genetics, Bioinformatics and Computational Biology

PhD in Computational Molecular Biology or Graduate Training
BS in Computer Science or Biology w/ concentration in
Bioinformatics or Dual BA in CS and Biology, MS in Genomics
and Bioinformatics with tracks in Biology or CS

MS in Biochemistry and Molecular Biology - Bioinformatics

MS in Bioinformatics

PhD and Post-doctoral Training
Capstone Certificate Program in Bioinformatics (For UW-
Madison post-doctoral fellows and employees of Madison-area
companies who are interested in bioinformatics training),
Graduate Certificate Program in Bioinformatics

B.S. in Molecular Biology & Bioinformatics
s of 12/2008


       Department of Computer &
       Information Sciences

       Department of Biomedical
       Informatics, School of

       UALR/UAMS Joint Graduate
       Program in Bioinformatics

       Biology Program
       Biological and Health Sciences
       Division (BIO/Health divisions)
       and Computer Technology and
       Information System (CTIS)

       PhD: KGI and the Claremont
       Graduate University School of
       Mathematical Sciences

       School of Medicine -Stanford
       Center for Biomedical
       Informatics Research
Center for Computational Biology

School of Information and Computer Science

Interdepartmental program

Interdepartmental program

Graduate Program in Genetics,
Genomics and Bioinformatics

Interdisciplinary program

Computer Science and
Engineering Department

Program in Biological and
Medical Informatics.

Biomolecular Engineering

Computational Biology and
Bioinformatics (Biology
Computational Bioscience,
School of Medicine

CBB is an Interdepartmental

Department of Computer

Department of Mathematics

College of Medicine for MS,
UCF Educational Outreach for

School of Biology, (PhD in
partnerships with other

BCB program, College of
Graduate Studies
Department of Biological

College of Engineering, Dept. of

Interdisciplinary program
administered by Graduate

School of Informatics

School of Informatics with Depts
of Biology, Computer Science,
Biochemistry and Molecular
Biology and other departments
in the School of Medicine.

Program in Bioinformatics and
Computational Biology

School of Public Health:
Departments of Molecular
Microbiology and Immunology
and Biostatistics
Hopkins Advanced
Biotechnology Studies, Zanvyl
Krieger School of Arts and
Sciences and the Whiting
School of Engineering
Graduate School of
Management & Technology

Department of Bioinformatics

Rabb School of Continuing
Studies - taught by professionals
in the field
Department of Biology's
Program in Bioinformatics with
multiple participating

Computer Science

Biology Department

Department of Biological

Interdisciplinary program under
Graduate School

Computing & Information

Department of Laboratory
Medicine and Pathology
Computer Information Science

School of Biological Sciences

School of Computing &

College of Information Science
& Technology

School of Theoretical and
Applied Science

Department of Chemistry &
Chemical Biology

The Graduate School of
Biomedical Sciences (GSBS)

College of Natural Sciences,
Nursing and Mathematics

Lewis-Sigler Institute for
Integrative Genomics
College of Arts and Sciences

Department of Biomedical

School of Science's Department
of Biology

Department of Biological

Department of Biology

Graduate School

Department of Biological

Duke Institute for Genome
Sciences & Policy

Program in Genomic Sciences
MS Certificate: School of
Information and Library Science;
PhD: Bioinformatics and
Computational Biology (BCB)

Interdisciplinary program

Department of Biomedical

Department of Computer
Science & Engineering,
Department of Biological

Interdepartmental program
Department of Biological
School of Biomedical
Engineering, Science & Health
Systems-Center for Integrated

Penn Center for Bioinformatics;
programs administered: BS by
corresponding departments, MS
and PhD Biotechnology program
and Genomics and
Computational Biology Graduate
Group respectively)
Department of Biomedical

Program in Bioinformatics

Department of Biostatistics,
Bioinformatics and Epidemiology

Department of Biological

College of Arts and Sciences

Genomic Science and
Technology program (UTK +

Interinstitutional program (BCM,
Rice U, U of Texas, etc.)

Department of Computer
Science, Biology Department

Department of Computer

School of Natural Sciences
Graduate Program in Cell and
Molecular Biology

Departments of Mathematical
Sciences and Molecular and
Cell Biology

Bioinformatics Program

Department of Biology

Dept. of Bioinformatics and
Computational Biology, College
of Sciences

Center for the Study of
Biological Complexity

Program in Genetics,
Bioinformatics, and
Computational Biology

Computational Molecular
Biology (CMB) Interdisciplinary
Multiple participating

Department of Biochemistry and
Molecular & Cellular Biology

Joint interinstitutional,
interdepartmental program

Computation and Informatics in
Biology and Medicine Training
Program (Interdepartmental)

Department of Biostatistics and
Medical Informatics (SOM and

Biology Department
                          Entrance Requirements
Bachelor's degree (CS or other field) with GPA of 3.0 or better, GRE
score of 1100 or better, a strong academic background in computer
science and mathematics, including certain prerequisites
(, additional admission
requirement of approved background in molecular biology

Bachelor's degree with appropriate focus (all applicants must have basic
competencies in college calculus, general biology, anatomy and
physiology, statistics and computer programming), GRE or MCAT scores

UG Minor: current UALR undergrad students majoring in IS/CS or
Biology; MS: Bachelor's degree in and/or strengths in IS/CS, Statistics or
Mathematics, and/or Life or Basic Sciences. PhD: completion of the MS
degree in bioinformatics. GRE required for MS and PhD
BS/BA degree in Biology, Computer Science, Chemistry, Biochemistry, or
Mathematics or BA/BS degree in any field and equivalent work
experiences in one of the above fields plus additional coursework, GPA of
3.0 or higher GRE or MCAT scores

No special requirements, but prerequisites: Using Computer, Intro to
Internet Technologies, Elementary Algebra and Intro to College Writing

Undergraduate major/coursework in mathematics, engineering, physics,
biochemistry, organic chemistry, computer programming desired

BA or equivalent (advanced training in Medicine, Biology or CS
preferred), GRE score (MCAT acceptable for Medical school applicants),
prerequisites: calculus, statistics, linear algebra, programming,
PhD student in one of the following programs: Bioengineering,
Biophysics, Biostatistics, Chemistry, Computer Science (EECS),
Integrative Biology, Mathematics, Microbiology, Molecular and Cell
Biology, Physics, Plant Biology, Statistics

Transcripts, GRE scores

MS, PhD: Bachelor's degree, (background similar to UCLA's bachelor's
degree in Computational and Systems Biology expected), GRE scores

UCLA undergraduate admission requirements, GPA of 3.0 in premajor

Bachelor's degree with appropriate focus (one course each of
Introductory Biochemistry, Introductory Genetics, Introductory Statistics,
Data Structure and Algorithms, plus one year each of General Biology,
General Chemistry and Calculus), GRE/GMAT test scores

Bachelor's degree in applicable discipline with a strong background in
quantitative sciences and biology, GRE (special attention paid to
quantitative scores)

UCSD admission, plus appropriate coursework/academic performance
(see degree requirements)

backgrounds in physics, chemistry, biology, mathematics, computer
science, or engineering; GRE scores, Interview

Admission requirements are not spelled out

Bachelor's degree with strong quantitative backgrounds in math, statistics
or computer science, GRE
In addition to standard grad school requirements (transcripts, GRE
general) - Master's degree in CS, computer engineering, IT, mathematics
or biostatistics, or in another scientific field with a special emphasis in
computational methods and a score on the GRE computer science
subject exam that indicates knowledge equivalent to a Master's degree in
computer science

Strong foundation in the basic sciences and mathematics, training in
computing/informatics (including significant computer programming
experience), GRE General Test, GRE Subject Test in relevant discipline

MS: Bachelors degree in CS or in other field and CS-related experience,
GPA of B or above, GRE scores of 1000 min (600 min quant); Bachelor's
or Master's degree in CS, or equivalent degree in a related field, GPA of
B or above, GRE score of 1120 min (650 min quant).

Normal Dept. of Mathematics requirements plus knowledge of
multivariate calculus, ordinary differential equations and linear algebra
basic knowledge of statistics, computer programming and genetics. PhD
applicants should have more advanced mathematics knowledge such as
advanced calculus, abstract algebra, topology, or complex variables

MS: Bachelor's Degree with GPA of 3.0 or better, GRE or MCAT scores,
min of 40 science credits to include one year of biology and one year of
chemistry, mathematics including integral and differential calculus;
Certificate: Bachelor's degree with GPA of 3.0 or better, courses in
biology, chemistry and computer science, GRE helpful, but not required
MS: BS or BA in Science or Engineering with GPA 3.3 and above, GRE
math score 700 or above, verbal 500 or above; PhD: BS or MS in
Bioengineering, CS, Bioinformatics, Biology, Physics, Chemistry,
Biochemistry, Mathematics, Engineering with GPA of 3.2 or above,
programming in perl or C, GRE biology and Math subject tests
Bachelor's degree in biological, mathematical or computer sciences with
GPA 3.0 or better, GRE score of 1300 or above, expected background in
high level programming language
data structures, general biology, basic genetics, calculus and probability
Bachelor's degree with a major in an area of biological sciences or in a
closely related field such as biochemistry or biophysics, GRE general
required, GRE Subject Test in biology or biochemistry, or on the MCAT
not required, but can help application
BS: standard undergraduate admission requirements. Graduate:
Bachelor's degree in engineering, physical or life sciences, computer
science, mathematics, biology, or pre-medicine. in an appropriate field of
engineering or in a closely related field, minimum 3.0 with A=4.0 for the
final 60 semester or 90 quarter hours of undergraduate study, GRE
scores of 600 or above in verbal and quantitative

Admission through one of participating departments: Animal Sciences,
Chemical and Biomolecular Engineering, Computer Science, Crop
Sciences, Graduate School of Library and Information Science

Bachelor's degree with at least 6 credits in biology, and 6 credits in
computer science

Bachelor's degree with demonstrated technical skills and GPA 3.0 or
better and relevant background (e.g. biology), GRE scores; Minor:
Students in relevant Ph.D. programs

Bachelor's degree in molecular biology, computer science, mathematics,
statistics, physics or a closely related discipline. Strong computational,
mathematical or statistical training is desirable. GRE scores of applicants
average: 780 - quantitative, 580 - verbal, 5 - writing.

 Strong quantitative and computational interest as well as a baccalaureate
degree or its equivalent in the biological sciences, physical sciences,
mathematics, or engineering. A strong background in calculus, biology,
and chemistry is assumed. A minor in computer science or equivalent
computational experience is also required.

BS in the biological sciences or in engineering with GPA of 3.0 or better;
Prerequisites: Two semesters of Organic Chemistry, One semester of
Advanced Biochemistry, Introduction to Programming Using Java, C++ or
C, Data Structures, One course in Probability and Statistics, Calculus
Admission through Graduate School. Background in biology is strongly
recommended. Students who do not have a molecular/cell biology
background should take BIOT 601 Molecular Biology for Business

General admissions process used through Graduate School. GRE
General test required for PhD applicants. Background expected: Intro to
C, Intro to Probability and/or Statistics, Intro to Algorithms, Knowledge of
PERL, Cell Biology, Physical Chemistry, and Biochemistry

MS: Background in engineering, computer science, life science or
appropriate undergraduate foundation classes; Certificate: background in
life or computer science and minimum of a high school diploma or GED

Bachelor's degree in a biological science, chemistry, computer
science, pharmacy, engineering, nursing, or other related
discipline, GRE
Bachelor's degree in computer science or a related discipline such as
mathematics, physics, biochemistry or engineering; number of
prerequisites (see Other)

Bachelor's degree and undergraduate course work in calculus, physics,
biochemistry, biology and chemistry; GRE general score required, GRE
subject score preferred

Typical undergraduate admission requirements

Bachelor's degree with GPA of 3.2 or better, GRE general required and
GRE subject tests in Biochemistry, Cell and Molecular Biology, Biology,
Chemistry, Computer Science, Mathematics or Physics recommended

Bachelor's degree with GPA of 3.0 or better, satisfactory GRE or GMAT
test score

Admission to a master’s or doctoral degree-granting program within the
Graduate School and preparation of a minor program of coursework
approved by the director of graduate studies in bioinformatics is required.
Typical undergraduate admission requirements

BS: typical undergraduate admission requirements; MS: Bachelor's
degree in biology, chemistry, physics or related discipline, and a 3.0
grade point average (3.2+ expected), GRE score of 1000 or above

Bachelor's degree with GPA of 3.0 in CS or related with strong
background in Math. GRE scores above 75% on quantitative and above
50% verbal

Typical undergraduate admission requirements

Typical undergraduate admission requirements

MS, PhD, Certificate: Bachelor's degree in chemistry with strong biology
background or an undergraduate degree in biology with strong chemistry
background; MS: GPA of 3.0 or better, PhD: GPA of 3.4 or better and
quantitative GRE score above 600
Bioinformatics Concentration is offered to students pursuing a graduate
degree in the biomedical sciences enrolled at UMDNJ-GSBS, or enrolled
at Rutgers University pursuing joint degrees from Rutgers University and
Bachelor's degree with GPA of 3.0 or better, GRE, Prereq. Courses:
Biochemistry, Calculus, Cell Biology, Organic Chemistry and Elementary

UG Certificate: admission in sophomore year, PhD: admission through
one of the participating departments - Chemistry, Computer Science,
Ecology and Evolutionary Biology, Molecular Biology and Physics.
Typical undergraduate admission requirements
bachelor's degree in computer science, engineering, mathematics,
physics, biology, nursing, medicine, public health, information
management, or similar; official transcripts, GRE score

BS: Typical Undergraduate Admission requirements, PhD: Typical
Graduate admission requirements (transcripts, GRE, etc.)
BS: Typical undergraduate admission requirements. MS: Bachelor's
degree in Biology, Biotechnology, Biochemistry, Chemistry, Computer
Science, Information Technology, Statistics or related disciplines with
GPA of 3.2 or above, prerequisite courses in Programming, Databases,
Math, Biology, Chemistry and Statistics; BS/MS: application based on
academic record in first three years (GPA 3.2, with 3.4 for professional
field courses)

Typical graduate school requirements and completion of equivalent of
undergraduate major in biology

Bachelor's degree, GRE not required

Students with GPA 2.5 or higher overall and GPA 3.0 in prerequisite pre-
major courses
PhD: Multiple prerequisite courses in computational and biological
sciences, mathematics, GPA of 3.2 and above, GRE scores; Certificate:
Duke graduate student
Bachelor's degree in the biological or physical sciences, mathematics,
statistics or computer science with undergraduate courses in calculus,
linear algebra, and courses comparable to Introduction to C++,
Experimental Statistics for Biological Sciences I, Principles of Genetics,
undergraduate GPA 3.0 or better, GRE.
MS Certification: Currently enrolled student in Master’s of Library Science
(MLS) or Master’s of Information Science (MIS) degrees from the School
of Information and Library Science. Background in related subjects
required PhD: Courses in computer programming, biochemistry, math,
and statistics.

Bachelor's degree with GPA of 3.0 or better in Biology, Biochemistry,
Chemistry, Physics, Mathematics, Statistics, Computer Science, or
related field, GRE scores of no less than 1000

BS or MS degree in engineering, material science, biology, computer
science or physics with GPA of 3.0 or better and GRE scores of 1300 or
Pre-requisites include the following courses: Chemistry, Physics,
Calculus, Statistics, Computer Programming
BS: Normal undergraduate admission requirements MS: Bachelor's
degree in computer science, or related areas and appropriate experience,
and satisfaction of the admission requirements as set forth by the School
of Graduate Studies, and prerequisite courses in math, computer science
and engineering, as listed at
PhD or MS student in one of participating departments:
Botany/Microbiology, Zoology, Chemistry/Biochemistry, OUHSC
Immunology/Microbiology, and Computer Science

Requirements will vary by degree level and admitting department/school.
This is an interdisciplinary program that does not admit students directly

MS: Typical grad school requirements plus at least one undergraduate
course in molecular biology and a year of college-level calculus; PhD:
undergraduate training in biology (mainly, molecular biology and
genetics), computer science, high GPA (3.7 average) and GRE scores
are expected
Academic transcripts; GRE scores (details not spelled out)

BS or BA in life science, chemistry or computer science (no GRE required)

Superior undergraduate record with backgrounds in the basic sciences,
with emphasis in analytical, biological, or physical sciences as well as
engineering, GRE (min score 1100)

Bachelor's degree with science/math major and GPA of 3.0 or better,
GRE scores

A strong background in computer science, Biology and Statistics;
competitive GRE

Background that includes one year of each: general biology, physics and
calculus, two years of chemistry, including lab plus GRE scores

BS in biochemistry, molecular biology, physics, chemistry, mathematics,
and computational or engineering sciences

Normal undergraduate admission requirements

Typical graduate school requirements plus prerequisites in computer
programming, biology, chemistry, and math.

Standard undergraduate admission requirements
Normal admission requirements through the Graduate School. Applicants
expected to have successfully completed at least one year each of
calculus, biology (genetics and cell biology recommended), organic
chemistry, biochemistry and general physics.

Prerequisites: multivariate calculus, linear algebra, two semesters of
general and organic Chemistry, general physics, programming in C/C++,
and biology.

Relevant background (life sciences, computer science, mathematics, and
chemistry) desired. Normal admission requirements through the Graduate

Typical undergraduate admission requirements
Bachelor's degree in science, math, engineering, or computer science.
GPA of 3.25 or better for PhD, 3.0 or better for MS and Certificate.
Background in higher programming languages, calculus, statistics and
one or more of: molecular biology, biochemistry and physical chemistry.
PhD requires a GRE score of 1100 or better

BS: normal undergraduate admission requirements, Master./MS: Normal
graduate admission requirements (consult dept. directly for additional
reqs) BS/MS Accelerated: Qualified VCU students apply during junior

Bachelor's degree with GPA 3.0 or better, and GRE or GMAT scores
(target GRE score is 1200 for verbal and quantitative)
Graduate application through one of participating departments of U of W.
Transcripts, GRE, etc (see each department for details); Prerequisites:
statistics, algorithms and data structures, programming for data analysis,
algorithms and data structures
Relevant background desired. MS, biology track--knowledge discrete
structures, data structures and elementary computer programming.
 Required courses are inorganic and organic chemistry, biology, calculus,
statistics, computer science for all MS.

Bachelor's degree in biology, chemistry or related science; GRE
recommended, but not required

Undergraduate degree with understanding of one of the life sciences(
basic biology and organic chemistry) and/or computer science (data
structures and programming), mathematics (calculus) or engineering, GRE

 Ph. D. students who are eligible for this interdisciplinary training include
those majoring in computer sciences, statistics, genetics, biochemistry,
engineering, and other computational areas and biological science
disciplines from five colleges across campus
Capstone: course prerequisites: Calculus; Programming and Data
Structures (or equivalents); Graduate Certificate: simultaneous enrollment
in medical science or biological science graduate programs at UW-

Standard Undergraduate admission criteria
                             Degree Requirements

MS: 36 credit hours (21 general CS and 15 for specialization); PhD: flexible
study options that have no required courses, but rather emphasize
individualized training that is suitable for the specific prospective candidate
and his or her area of specialization; MS/PhD option available

MS: 30 credits including thesis , PhD: 39-45 credits required courses and 39-
45 credits of elective courses

Minor: 18 credit hours. MS: Approximately 34 total credits of coursework in
10 courses; PhD: 36 credit hours in addition to MS in bioinformatics

33-34 units total, bioinformatics emphasis (18 units)

47 units for Associate Degree, 43.5 for Certificate

MS: Two academic years of work, with internship over the summer and
master's paper, PhD: 72 units of coursework, dissertation

Academic MS: 45 credit hours, masters thesis; Professional MS: 45 credit
hours; PHD: 135 credit hours, qualifying oral examination, PHD thesis and
dissertation; Certificate: completion of 3 core courses (grade B or better)
Special Seminar and several additional courses. Very flexible and
individualized approach

Core and concentration courses (see course listings for details). PhD
students must write a research paper prior to admission to candidacy

MS: 13 graduate courses min., PhD - same core courses plus additional

core (6 courses: 23 units), a concentration area (min. 7 courses: 28 units),
and a 4 unit Research and Research Communication course

No specific information available.

3 quarters of coursework (4 courses each quarter) plus 9 additional courses;
2nd year qualifier exam, PhD thesis and oral exam

64 units lower division (Math, chem., CS, Physics), 88 units upper division,
including 5 CS technical electives, 24 units (6 courses) of concentration

Combination of coursework, research lab rotations, dissertation research,
Minor: 15 courses; Both M.S. and Ph. D. students must complete nine 5-
credit courses (7 core courses and 2 electives) and a 3-credit research and
teaching course. 4 and 8 seminar credits for MS, PhD respectively.
Research project for MS and research lab rotations for PhD. Thesis for MS
and dissertation for PhD

60 units of courses, usual PhD requirements
30 semester credit hours of course work (up to 20 hours can be transferred
from prior training) plus 30 hours of dissertation research, usual exams and
4 semesters of coursework (9 courses encompassing the following core
areas: computational biology and bioinformatics, biological sciences, and
informatics; graduate seminar on research ethics, multiple research
rotations, CBB seminar series , two semesters as a teaching assistant,
qualifying exam (oral portion includes questioning on dissertation
prospectus), research rotations. For MS: 4 semesters of coursework and 3
research rotations

MS-15 credits of required CS classes and 15 electives or 9 electives, and
option of thesis; PhD- 6 required CS classes, 6 electives, 24 dissertation
credits, 2 credit hours of seminar

MS: 36 hours of coursework and seminars PhD: MS degree requirements,
comp exam, dissertation

MS: 9 core classes and 3 electives, plus internship; Certificate: 12 credits (4

Traditional MS: 30 credits of courses plus thesis; Professional MS: 37
credits, three semesters of specific courses in biology, mathematics,
computer programming, and chemistry; PhD: 36 course credits (GPA of 3.2
or better), 24 research credits

Both degrees require: Core courses, depth courses, lab rotation, seminars,
teaching experience, and thesis. MS: 32 credits (9 credits of thesis
research), PhD: 78 credits (at least 30 hours of thesis research).
MS: 30 credits including either thesis, or coop experience or independent
study. Certificate: 16-17 required for certificate

BS: 128 credit hours (12 Bioinformatics Concentration Area Elective hours);
MS and MEng: 36 credits; PhD: 108 hours from baccalaureate (24 hours of
coursework for admitted with MS in Bioengineering or related, 48 hours of
coursework for admitted with BS); Certificate: 12 credits (3 courses)

Thesis: 32 credits with min of 28 credits of coursework; non-thesis: 36
credits. Coursework from three core areas: bioinformatics, biology and CS
is required

MS: 36 credits, 6 core credits, 6 credits bioinformatics, 18 credits of
electives, 6 credits project/thesis/internship; PhD minor: 12 credits

MS: 36 credits (18 credits of bioinformatics core credits), PhD: 90 credits (15
hours bioinformatics core courses, 9 hours advanced BI courses); research
rotations, etc., Doctoral Minor: 12 credits from bioinformatics core

Courses in genetics, molecular biology, mathematics and statistics,
computer science, with research rotation in first year, interdisciplinary thesis
research project completed the second year. 72 credits are required.

Students are required to take 16 credits each term in their first year,
including at least 12 credits outside of Biostatistics. A minimum of 64 credits
are required to graduate and includes a culminating project, and a web

A total of 11 courses: 5 core courses, 4 concentration courses, an elective
from bioscience and an elective from computer science. After completion of
the core and concentration courses, students may choose an independent
study project as one or both of their electives.
MS: 36 credits (18 credits-core bioinformatics courses, 15 credits-electives,
3 credit capstone course) Certificate: 15 credits (5 courses)

MS: 32 credits required and internship. MD Track: 32 credits required and
thesis. PhD: (Post-Bachelor's) - 64 credits required and exam (32 course
credits, 16 research credits); (Post-Master's) 32 credits required (16 course
credits, 16 research credits) and exam (For all: no lower than "B" in core

MS: 36 credits; Certificate: 21 credits. All include core courses and courses
in programming, scripting language and database management.

32 credits required. Curriculum designed for students with either strong
math & computing or biology & biochemistry background. A six month
graduate co-op in a commercial, academic, or government lab is required

30 credits (thesis optional, can be substituted for coursework); ScD: MS
requirements plus thesis for a total of 42 credits.

4 Graduate Core Courses, 5 five additional Biology-approved Graduate
Elective Courses, Lab rotations, dissertation

74 credits of bioinformatics work and mandatory cooperative work
experience required.

MS: 31 credits of core courses and electives, Professional MS: Internship in
industry required; Research MS: rotation in a laboratory required, thesis
encouraged. PhD: 68 credits required (reduced to 50 for those with relevant
MS) with two full research rotations the first year

36 credits with a cumulative GPA of 3.0

Minor requires core courses, 9 credits for master's, 15 credits for doctoral
124 total credit hours (66 credit hours combined of core computer science
and biology courses)

BS: 120 hours required, of which 42 are in biological sciences MS:
information not given on departmental website

27 hours of coursework, 3 hours of research thesis and min. 9 hours in
emphasis area or 36 hours of coursework for non-thesis option.

132 credits (16 hours of Bioinformatics requirements)

128 credits total, 72 core credits, 12 credits from special set of electives with
option for Bioinformatics research with faculty or internship in industry
BS: 72 credits related to major in Junior and Senior year; MS: 30 credits
(thesis not required, but is encouraged); PhD; 90 credits of graduate work in
an approved program of study are required beyond the bachelor's degree;
this may include up to 30 credits obtained in relevant master's degree
program. Certificate: 12 credits (4 courses), all of which are transferable to
the appropriate Master's degree program.

Certificate for MS students: 12 Credit Hours; Certificate for PhD students:
Bioinformatics Core Curriculum including appropriate Research and
Electives for a total of 18 Credit Hours.

38-42 credits

Certificate: course pre-requisites vary for integrative sciences track and
other students, course requirements vary by major, all do lab project, senior
thesis and a course in Computational Molecular Biology & Genomics
37 courses (128 credits) required, may be up to 136 credits, depending on
electives chosen

MA: 30 credits, PhD: 60 credits

90 hours beyond bachelor's degree

BS: 187 credits minimum, including completion of one cooperative
education experience; MS requirements not listed on website

72 points, of which 36 may be transferred, seminars, dissertation, etc.

30 credits min

104 credit hours: 35 hours in biological sciences, 65 hours in chemistry,
physics, math, and cs and 4 hours of senior seminar and project
PhD: typical requirements (no details given); Certificate: 2 CBB core
courses, 1 additional CBB course, CBB seminar each semester and one
member of CBB faculty on dissertation committee

MS: 33-36 credit hours: 15 Genomic Sciences core, 9 Bioinformatics Core, 9
credits of electives, with oral exam, non-thesis degree. PhD: 72 credit
hours: 15 Genomic Science, 9 Bioinformatics Core, 48 Bioinformatics and
MS Certification: 48 required hours for a MLS/MIS with completion of a
significant project in the area of bioinformatics, and coursework in
Biostatistics: 3 credit hours minimum, Biological Sciences: 6 credit hours
minimum; PhD Two research rotations, one semester of teaching, bioinformatics and
computational biology core classes, and research presentations. Possible internships.

PSM: 36 credit hours; PhD: 72 post baccalaureate hours with specific
course selections for bioinformatics track

Credit requirements for MS, PhD post MS, PhD alone: 45, 90, 135

BS in CS: 195 credit hours required. BS in Bio: 200 credit hours required
MS: 48 credit hours (including 12 credit hours toward thesis)

Completion of 2 bioinformatics courses and their prerequisites

99 units of coursework (up to 12 units can be research work)

No specific information available - degree requirements will vary by primary

MS: eleven courses: six core courses and five courses from the
bioinformatics track; PhD: Three research rotations (3-4 credit units total),
Eight courses consisting of both core lectures and electives (8 credit units
total), One semester-long seminar that focuses on reading and discussing
primary literature, Any combination of additional rotations, courses,
seminars, or independent study for a total of 20 credit units over four
semesters and two summers. Exams and dissertation.
MS - 36 credit hours, minimum B grade in all graduate courses; PhD - 72
credits (54 - coursework, 18 - dissertation research)

22 credits of core courses, 5-6 credits of track-specific courses, electives
beyond that and completion of an independent project over a period of two

MS: 36 credits; PhD: same as MS, plus typical PhD requirements

36 credits (12 general, 18 core, 6 electives)

37 credits (33 for those entering with Master's and 30 with PhD or enrolled in
PhD program)

48 credits of coursework past baccalaureate plus 24 credits of dissertation
and research credits, research rotations

PhD: Collection of program-specific coursework, graduate school core
curriculum, lab rotations, qualifying exam, thesis MD/PhD: first 2 years of
med school (includes clinical clerkship), followed by grad school coursework,
lab rotations, thesis completion finishing with final year of med school.

124 credit hours required including Humanities and Social Science,
Computer Science and Biology, and Mathematics and Chemistry.

40 hours of CS, Statistics and Biology courses

52 credits of core courses, with 13 elective credits required in bioinformatics
Completion of 5 core courses, lab rotations, work in permanent lab, teaching
for at least one semester, dissertation research

limited information on website

40 hours of courses in the computational, mathematical, and life sciences;
also requires a summer practical work experience internship in the public or
private sector; Thesis is an option but not a requirement for this degree

63 hours of major requirements on top of general college requirements

MS: 31 credit hours including research project or master's thesis, MS in
Management - 30 credits including capstone project. PhD: 72 credits total,
48 course credits and 24 credits of thesis research. Certificate-15 credit
BS: Life Sciences General Education Requirements, specific training in the
Collateral Coursework (15 credits) and in the Bioinformatics Core Curriculum
(42 credits) plus track-specific courses (22 credits); Master's: 20 and 14
credits of core courses (MS and M professional respectively), 15 credits of
track specific courses.

Students choose a primary track from four specialty tracks: life sciences,
computer science, statistics and mathematics. Also complete core courses
and dissertation research project, and additional focused research
experiences may be required.

PhD: Core CMB course, electives as selected with advisor, lab rotations,
seminars, etc. Certificate: 15 units of course work like for PhD in CBM
BS: 130 credit hours required along prescribed curriculum, Dual BA: 133
credit hours required Biology MS: non-thesis option, 35 credits required with
a final project. Thesis option: 32 credits plus thesis. CS MS: 38 credits

30 credits (non-thesis, one year program)

Thesis: 24 credit hours required plus thesis (6 credit hours). Non-thesis: 36
credit hours. Core courses required for both options.

PhD: Completion of a minor outside one's home dept. (12 credits), 3 classes
in Bioinformatics/Biostatistics, 3 Biological classes, 3 CS classes, one-
semester course in Scientific Ethics; Pre and Post docs: 9 credits minimum
plus a course in Scientific Ethics

12 credits (3 required classes, one elective). The program typically can be
completed in 1-2 years.

Major consists of 46 credits in biological sciences with additional courses in
mathematics, chemistry, computer science and physics, GPA of 2.5 or better
               Cost                         Target Audience

In-state: $2,035 per semester,      Individuals seeking to change
Out-of-state: $4,492 per            careers into new field of
semester                            bioinformatics

information not readily available   see entrance requirements

information not readily available   see entrance requirements

$795/credit                         see entrance requirements

information not readily available   n/a

                                  see entrance requirements, part-
                                  time curriculum for working
$38,340 per year tuition and fees professionals available

                                    Candidates with advanced
                                    training in Computer Science,
                                    Medicine, Biology or related
information not readily available   discipline
                                    PhD students in certain
n/a                                 departments at Berkeley

CA resident - 11,262 annually,
Non-resident - 26,268 annually      unclear

information not readily available

information not readily available   see entry requirements

information not readily available   see entry requirements
$6,684 per year for CA
residents, $18,684 per year for
non-residents                       see entry requirements

tuition remission as part of
student funding                     see entry requirements

information not readily available
                                    applicants with strong
                                    quantitative background
                                    (program originated in math
information not readily available   department)
                                    Preference is given to applicants
                                    with interdisciplinary training in
                                    computer science, mathematics
n/a                                 and biology

n/a                                 see entry requirements

information not readily available   see entry requirements

$275 per credit - FL residents,
$919 per credit - non-Residents

information not readily available   See entrance requirements

$13,500 in tuition and fees
annually                            see entrance requirements
                                    see entrance requirements for
                                    MS, Certificate is primarily
                                    designed for individuals already
                                    working in the bioinformatics
                                    field who want to improve their
information not readily available   skills through formal course work

$ 675 per credit for Certificate
and Meng online courses             varies by degree program option

information not readily available   varies by participating department

information not readily available


information not readily available   see entrance requirements

$2,560 per course, plus fees        working professionals
information not readily available   varies by degree program option

information not readily available   varies by degree program option

$2,110 per course

$1,175 per credit plus fees         working professionals

information not readily available   see "Other"


information not readily available   n/a

information not readily available   varies by degree program option

information not readily available   information not available

                                    University of Minnesota
n/a                                 Graduate students
information not readily available   n/a

information not readily available   varies by degree program option

information not readily available   CS program graduates

information not readily available   n/a

In-state: $336.40 per credit, non-
resident: $546.10 per credit       n/a

information not readily available   varies by degree program option

n/a                                 see entry requirements

                                     biotech/pharma employees
information not readily available   (most attend program part-time)

information not readily available   varied, see entry requirements
Annual tuition and fees: $28,157 n/a

information not readily available   see entrance requirements

Tuition: $36,950 per year           not specified

information not readily available   see entrance requirements

n/a                                 those with biology background

                                    applicants with bio/chem or cs
$1,073 per credit plus fees         background

information not readily available   n/a

n/a                                 see entrance requirements

information not readily available   see entrance requirements
n/a                                 see entrance requirements

information not readily available   see entrance requirements

n/a                                 see entrance requirements

information not readily available   not specified

n/a                                 n/a

varies by degree program            varies by degree program option
information not readily available   not clear

$1,189 per credit

                                    Candidates with both
$1,739 per year for PhD             quantitative and biological
Students (reduced tuition)          backgrounds accepted

information not readily available   see entrance requirements

information not readily available

n/a                                 see entrance requirements


information not readily available   n/a

information not readily available

information not readily available   n/a

information not readily available   information not available

$1,716 per semester for TX
residents, $4,021 for non-
residents (assumes 10 hours

information not readily available   n/a

information not readily available   varies by degree program option

information not readily available   varies by degree program option

In-state tuition: $437 per hour,
out of state: $ 824 per hour;
multiple fees                       not specified

                                    see entry requirements,
                                    Certificate open to U of W PhD
information not readily available   students
information not readily available

information not readily available   see entry requirements

                                    Recent graduates in relevant
                                    fields and mid-career
                                    professionals working in the field
                                    and seeking career advancement


information not readily available

information not readily available   n/a
  Focus Areas (skills of graduates)

Clinical Informatics, Imaging
Informatics, Public Health
Informatics, Bioinformatics

MS/PhD program - research oriented

Biotech and Bioinformatics tracks

Preparation for entry-level positions
in biotech or pharmaceutical
Current Tracks: Medical Devices and
Diagnostics, Bio/Pharmaceutical
Discovery and Development,
Bioprocessing, Business of
Bioscience, Clinical and Regulatory

research and teaching in biomedical
Mostly preparation for graduate
training and research

Biological Data & Analysis Tools,
Sequence Analysis, Genomic
Analysis, Statistical Methods for


bioinformatics research in academia
or industry

BS: grad school or career in
pharmaceutical or biotechnology
Preparation for high–level research
positions in government or industry

General bioinformatics (see research
interests), plus optional focus in
Translational Informatics

focus on DNA and protein sequence
analysis, comparative genomic
analysis, and macromolecular
structure modeling

preparing bioengineers capable of
using computational genomic
analysis to solve engineering
problems arising at the new frontiers
of biology and medicine

varies by participating department
Bioinformatics Analyst or Specialist,
Computational Biologist, Biological
Database Specialist

MS: prep for industrial positions,
MS/MD track: post-genomics
research, PHD: math and biology

practice-oriented program

practical focus

Comparative Genomics, Medical
Genetics, Systems Biology, Structural

MS: prep for consulting and applied
research positions as well as for PhD;
PhD: prep for career in teaching and
large database design, information
visualization, knowledge discovery
and data mining
Biotech skills with DNA sequencing
as sole Bioinf. specific course

varies by degree
Biotech and Pharma career prep

prepares students for graduate
education in a bioinformatics-related
field or for entry into the workforce
MS certificate:

computational models of the role of
genes, proteins, and neurons

Mostly Genomics for PhD, and Mostly
computational for MB
Biomedical general track plus several
concentrations: dental informatics,
bioinformatics, health services
research, biosurveilance

Program offers biotechnology and
computational track, both with focus
on genomics

plant biotech and genomics

Genomics, Simulation & Modeling,
Biomathematics Tracks
extensive training on DNA and
protein sequence and structural
analysis, gene expression and
proteomic data analysis, optimization
and statistical methodologies, data
mining, algorithm design, and
database development

Biology/Genomics, CS and
Quantitative/Statistical Tracks for BS
and MS, MS - prep for PhD studies

will vary by department, all receive
training in protein and DNA sequence
analysis and molecular evolution
MS program offers biology and
computer science tracks with
corresponding selection of courses

Strong biotech emphasis

physiological genetics, genomic
analysis, artificial intelligence, and
digital image processing and analysis

preparation for M.S. and Ph.D. programs
                       Sample Course Titles

Bioinformatics I, II; Database Systems, Knowledge Discovery and
Data Mining, Bioinformatics Research

Introduction to Biomedical Informatics, Foundations of Biomedical
Informatics Methods I, Advanced Biostatistical Methods, Problem
Solving in Biomedical Informatics

Bioinformatics Theory and Applications, Data Mining Concepts and
Techniques, Biotechnology, Biometry

Computational Genomics, Database Systems for Bioinformatics,
Programming for Bioinformatics

Cell Biology for Biotechnology, DNA Sequencing & Bioinformatics:
Basic Laboratory Techniques, Introduction to Data Management
Systems, Molecular Genetics

Courses depend on educational track

Intro to Biomedical Informatics: Fundamental Methods, Design and
Analysis of Algorithms, Representations and Algorithms for
Computational Molecular Biology
Programming and Algorithm Design for Computational Biology &
Genomics Applications, General Biochemistry and Molecular
Biology, Introduction to Database Systems, Multivariate Statistical
Methods in Genomics
Analysis of Algorithms, Human-Computer Interaction,
Representation & Algorithms for Molecular Biology, Seminar in
Informatics in Biology & Medicine,

Introduction to Bioinformatics and Genomics, Algorithms in
Bioinformatics and Systems, Statistical Methods in Computational
Biology, Computational Genetics
Data Structures and Algorithms, Statistical Methods in
Computational Biology, Introduction to Cellular Modeling, Modeling
Methodology in Biological Systems

information not available on the website
Bioinformatics I: Biological Data & Analysis Tools; Bioinformatics II:
Sequence and Structure Analysis - Methods and Applications;
Bioinformatics III: Functional Genomics; Bioinformatics IV: Statistical
Methods for Bioinformatics

Molecular Sequence Analysis, Biological Databases, Applied
Genomic Technologies, Computational Molecular Biology

Introduction to Biocomputing Algorithms, Macromolecular Structure &
Interaction, Physical principles & Bioinformatics

Programming for Biologists and Biochemists, Computational Biology
Tools, Bioinformatics Models and Algorithms, Computational
Systems Biology, Protein Bioinformatics
Biomedical Science for Bioinformatics Students, Bioinformatics,
Ethics in Research, Electives in Biostatistics and CS

Genomics and Bioinformatics, Core Topics in Biomedical
Informatics, Statistical Methods in Genetics and Bioinformatics,
Computational Chemistry and Biochemistry, Neural Networks for

Typical CS courses, Bio-Informatics, Bio-Informatics Tools

Introduction to Mathematical Biophysics, Computational Biology,
Advanced Seminar in Biomathematics,

Biochemistry, Molecular and Cellular Biology, Bioinformatics,
Biomedical Genomics and Genetics, Advanced Data Structures

Introduction to Computing Concepts in Bioinformatics, Genomics and
Applied Bioinformatics, Visualization Methods for Science and
Engineering, Introduction to Database Systems, Introduction to
Graph Theory

Computational Biology, Mathematical Methods in Genetics,
Principles of Systematic Biology, Evolutionary Computation ,
Biochemistry and
Molecular Biology
Bioinformatics, Programming for Bioinformatics, Molecular Genetics
of Prokaryotes, Recombinant DNA Techniques Laboratory,
Biostatistical Analysis

Introduction to Bioinformatics, Combinatorial Methods for
Bioinformatics, Molecular Modeling in Bioinformatics, Cell biology
and Integrative physiology, Introduction to Computational Biology

Applied Bioinformatics, Laboratory Techniques in Bioinformatics,
Genomics, Proteomics, and Bioinformation, Computing in Molecular

Course titles not listed

Introduction to Informatics, Introduction to Bioinformatics, Biological
Database Management, Machine learning in Bioinformatics,

Introduction to Bioinformatics, Computational Genomics & Evolution,
Statistical Methods for Computational Biology, Advanced Algorithms
in Computational Biology, Computational Techniques for Genome
Assembly and Analysis

Methods in Biostatistics, PERL for Bioinformatics, Biological
Databases and Distributed Computing, Introduction to
Bioinformatics, Methods in Transcriptional and Translational Analysis

Molecular Biology, Gene Organization and Expression, Foundations
of Algorithms, Practical Computer Concepts for Bioinformatics, Intro
to Bioinformatics, Biological Databases and Database Tools
Societal Issues in Biotechnology, Introduction to Bioinformatics,
Techniques of Biotechnology, Gene Expression Data Analysis, Data
Structures and Algorithms, Advanced Bioinformatics

Bioinformatics Applications, Protein and DNA Sequence Analysis,
Biological Database Systems, Statistical Methods in Functional
Protein Sequence Structure and Function, Genomics and Genetics,
Biological Sequence Analysis, Macromolecular Biophysics, Scientific
Programming and Statistical Analysis for Bioinformatics, Biological
Data Mining and Modeling

Statistics for Bioinformatics, Data Structures, Molecular Modeling,
Bioinformatics Seminar

CS courses, plus: Biochemistry, Selected Topics in Chemistry:
Protein and Chemical Informatics, Computational Chemistry

Advanced Genetics, Graduate Biochemistry, Graduate Molecular
Biology, Advanced Cell Biology, Graduate Bioinformatics

Courses in Biological Sciences, Computer Sciences, Mathematics,
Chemistry (no special Bioinformatics courses)

Introduction to Bioinformatics and Computational Biology, Data
Analysis in Molecular Biology, Probabilistic Modeling in
Bioinformatics, Programming Laboratory in Bioinformatics
Introduction to Medical & BioInformatics, Foundations of
Biotechnology, Knowledge Discovery and Data Mining, Information

Computational Techniques for Genomics, Microbial Genomics and
Bioinformatics, Principles of Database Systems, Statistical Genetics
and Genomics
Genetics, Bioinformatics, Database Management Systems, Data

Bioinformatics, Molecular Biology and Genetics, Biochemistry,

Introduction To Bioinformatics, Machine Learning In Bioinformatics,
Architecture Of Database Management Systems

Intro to Bioinformatics, Applied Bioinformatics, Bioinformatics
Algorithms, Dbase Search & Pattern Discovery in Bioinformatics,
Senior Project in Bioinformatics

Fundamentals of Biology, Bioinformatics, Advanced Bioinformatics,
Analysis of Algorithms, Data Structures, Database Design

Data Structures and Algorithms, Computational Biology, Database

Fundamentals of Bioinformatics, Structural Bioinformatics, Biological
Database Systems and Computational Genomics, Bioinformatics
Platforms and Application Development

Intro to Bioinformatics, Applied Statistical Analysis, DNA Sequencing

Computational Aspects of Molecular Biology, Developmental
Genetics & Neurobiology, Artificial Intelligence, Methods and Logic in
Quantitative Biology, Foundations of Machine Learning
Introduction to Bioinformatics, Introduction to Programming, Data
Structures, Large Scale Programming, Information Organization and

Introduction to Computer Applications in Health Care and
Biomedicine, Biochemistry and Molecular Biology,

not available

Bioinformatics, Genomics, Advanced Bioinformatics Computing,
Statistical Analysis in Bioinformatics, High Performance Computing
for Bioinformatics

Bioinformatics and Genomes, Introduction to Biostatistics, Statistical
Analysis of Genomics Data, Database Systems

Sequence Analysis, Protein Structures, Functional Prediction,
Cheminformatics, Data Structures and Algorithms (for Bio/chem BS),
Biological/Chemical Foundations of Bioinformatics (For CS BS)

Genetics, Bioinformatics, Algorithms and Data Structures, Database
Computational Biology, Computational Immunology, Genomic Tools
and Technologies, Computational Gene Expression Analysis,
Statistical Methods for Computational Biology

Bioinformatics, Computational Methods for Molecular Biology,
Functional Genomics, Molecular Genetics
Bioinformatics Programming I, Statistics for Bioinformatics,
Computational Structural Biology, Molecular Sequence Analysis,
Genomics, Transcriptomics & Proteomics, Design and
Implementation of Biological Databases

Intro to Bioinformatics, Intro to Functional Genomics, Math Models
Physiology & Medicine, Functional Genomics, Advanced
Computational Biology

course selection depends on major or individual selection (for MS)

Bioinformatics: Applications, Bioinformatics: Programming
Computational Biology, Computational Genomics and Molecular
Biology, Biological Modeling

Computations in System Biology, Gene and Genome Informatics,
Bio-Computation Languages, Pharmacogenomics, Data Mining and

Computational Biology, Databases, Programming Languages and
Introduction to Biomedical Informatics, Introduction to Bioinformatics,
Sequence Analysis Laboratory, Statistical Foundations for
Bioinformatics Data Mining, Bioinformatics of Gene Regulation

Microarray Technology, Proteometrics, Advanced Systems Analysis
and Design in Bioinformatics, Advanced Algorithms in Bioinformatics

Introduction to Clinical Biostatistics-Methods, Introduction to
Epidemiology, Introduction to Bioinformatics, Principles of Computing
& Algorithms for Bioinformatics, Ethical Issues in Biometry &

Bioinformatics, Biotechnology, Applied Statistics, Multivariate
Analysis, Bioinformatics Algorithms

Bioinformatics, Algorithms, Cell biology, Genomics, Probability
Theory, Applied Statistics

Advanced Genetics/Genomics, Bioinformatics/Computational Biology
Lab, Advanced Protein Chemistry, Advanced Molecular Biology

Molecular Biophysics, Seminar in Computational Biology, Advanced
Topics in SCBMB

Modern Concepts of Bioscience, Genetics, Genomics and
Bioinformatics, Intro. to Computational Biology, Bioinformatics
Database Design

Databases, Bioinformatics, Biostatistics

Bioinformatics, Mathematical Modeling in Biology, Numerical &
Scientific Methods, Biostatistics
Recent Advances in Computational Biology, Computational
Phylogenetics and Applications to Biology, Genomic Signal
Processing and Bioinformatics, Bioinformatics

Biochemistry, Molecular Biology, Bioinformatics, Genomics,

Analysis and Modeling of Biological Structures, Introduction to
Bioinformatics, Post-Genomic Analysis, Structure and Function of
Macromolecules, Data Base Applications
Genomics, Computational Biology, Bioinformatics, Genetics, Intro to
computer Programming, Data Structures and Algorithms,

Bioinformatics Methods, Bioinformatics Programming, Biometrics,
Genomics, Biochemical & Cellular Models, Bioinformatics for Life
Sciences, Data Modeling for Bioinformatics, Numerical Methods for

MS: Intro to Bioinformatics Research, Integrated Bioinformatics,
Directed Research in Bioinformatics; BS: Chemistry, biology and CS

course information not available

Genome and Protein Sequence Analysis, Molecular Evolution,
Research in Computational Biology
course selection depends on track chosen (CS or biology focus)
Biochemical and Cellular Sciences, Bioinformatics, Bioinformatics
Computing, Modern Methods of Biotechnology, Systems Biology and

Bioinformatics, Seminar in Bioinformatics and Computational
Biology, Statistical Genetics, Information Representation

Statistical Methods for Bioscience, Introduction to Bioinformatics,
Advanced Bioinformatics, Sequence Analysis, Modeling Biological

Introduction to Biostatistics, Bioinformatics, Advanced Bioinformatics,
Sequence Analysis

Molecular Biology and Bioinformatics, General Genetics,
Macromolecular Structure and Function, Bioinformatics Programming
    Links to Web Pages of


curriculum information not

no link to course listing



ugrad-bioinf.shtml; Graduate
core courses:

course listings not available

htm; MS Certificate:




course information not
available on website
                   Sampling of Research Interests

information not readily available

Health Information Technology Assessment for Clinical Outcomes,
Distributed Cognition and Scientific Collaboration in Medicine and

Evaluating Cancer Protein Identification from Mass Spectroscopy
Data, Time-Frequency Analysis of DNA Sequences,



varies by track/focus area (see for

Research Areas: Genomic sequencing and interpretation,
Classification of biological function; Genetic variation; Protein
structure, design, and function

Biomedical Simulations, Computational Biology, Bioinformatics and
Probabilistic Modeling, Structure in Biomedical Data
Prediction of protein structure, function, interaction networks,
Genome-wide association for disease genes, Bayesian
phylogenetics and comparative genomics, Stochastic network
inference and modeling



Varies by faculty member, see for details

Computational and experimental analysis of protein superfamilies
for functional inference and enzyme design, modeling of biological
systems, Biopharmaceutical Sciences

Gene finding methods, RNA detection techniques, proteomics,
estimation of amino acid distributions. More specific descriptions at
Statistical analysis of microarray data and related technologies, the
study of protein-protein interactions and protein function prediction
combining different sources of biological data, and a genomic
polymorphism survey of Arabidopsis.
Physical simulations of biological macromolecules and their
dynamics, Proteomic informatics, Natural language processing in
the biomedical literature, Computational pharmacology, Metabolic
and signaling pathway analysis

steroid hormone signaling pathways and breast cancer, protein
structure sampling algorithms, Statistical methods for preprocessing
and scoring tiling microarray data, Analysis of transcription factors
for pseudohyphal growth in different yeast strains, simulation of the
DNA damage response pathway

Pattern Discovery in sequences and structures, micro-array data
analysis, primer design, probe design, phylogenetic analysis, image
processing, image analysis

Mathematical physiology, protein structure determination, human
brain mapping, DNA topology

information not readily available

DNA and protein sequence analysis, comparative genomic analysis,
systems analysis and structure analysis, and prediction

Spatial Dynamics of Plasmid-Bacteria Interactions, Microbial
Community Analysis, Decision Theoretic Approach to Model
Selection, Evolving Ecological Networks, Potato Genetic Map
experimental chromosome image program, Similarity matrix and
UPGMA tree of genetic marker, genome projects

computational methods for analyzing binding protein surfaces and
core packing of proteins, Computational Biology, Machine Learning
& Data Mining Combinatorial and Global Optimization, novel shape
descriptors for molecular data mining for drug discovery
University research centers in this area include the Center for
Biophysics and Computational Biology and an NIH Resource for
Macromolecular Modeling and Bioinformatics; Comparative and
Functional Genomics
data mining and integration of genome-wide data-typically high-
throughput, motif discovery algorithms and information-theoretic
analysis of protein structure, comparative genomics and cancer with
a focus on hypermethylation

Structural bioinformatics, Data integration and mining, Gene
Regulation and networks,
Mechanisms of genetic and epigenetic gene regulation in plants,
human genetics, statistical genetics, survival analysis, clinical trials,
epidemiological studies, bioterrorism surveillance, microarray data
analysis, biomarker discovery and validation, statistical
methodology, longitudinal data analysis, genomics, environmental

Biomedical research, genomics, biosensors, molecular biology,
biological database modeling and design, specifically microarray
gene expression databases
Computational modeling of regulatatory and metabolic networks,
docking, comparative genomics, protein design, genomic and
proteomic biotechnology, microarray engineering and analysis,
pharmacogenomics, structural biology, large scale modeling of
biological systems, RNA, computational studies of cancer and
neurological disorders and functional genomics, synthetic gene
networks and molecular computing and genetics




 Study of genetic variations, human population and medical
genetics, comparative genomics and gene regulation, and
computational RNA and protein structure predictions.

information not readily available
Theory of protein folding, including structure, thermodynamics, and
kinetics; statistical and computational methods for analysis of high-
throughput genomic and proteomic expression data, intracellular
proteases, theoretical and computational topics at the interface
between structural molecular biology and physical chemistry, finding
genes involved in behavioral and neurological and psychiatric

information not readily available

n/a (see individual departments)

see for faculty-
specific research

Biological data mining, Functional property based protein databases,
Intelligent software agents in biology, Computational genomics
(Application of information theory to genomics), Genomic signal
processing, Cardiac information system, Chromosome abnormality


information not readily available

information not readily available for Bioinformatics specific research

information not readily available

information not readily available
organizational principles of metabolic networks, quantitative
modeling of cell-biological processes, mapping the genetic basis of
complex bacterial behavior, comparative genomics analysis of
regulatory networks, the genetic basis of quantitative phenotypic
variation, and genomic plasticity and mechanisms of phenotypic
Artificial Intelligence (Logic, Knowledge Representation, Reasoning,
Natural Language Understanding, Robotics), Cognitive Science,
Computer Science Education, Bioinformatics.
Prediction of Protein Structure, Sequence Assembly, Sequence-
Similarity Analysis, Metabolic and Signal-Transduction Pathways,
Analysis of Gene-Expression Chips

Regulation of gene expression, protein folding and structure, data
mining, molecular simulations, drug design

No specific research mentioned (webpage in development)
Systems Biology and Protein Structure, Statistical Genomics,
Databases and Systems Biology, C. elegans Evolutionary
Genomics, Fly Transcription Networks


information not readily available
Computational & discrete geometry, computational biology, spatial
databases, robotics, developmental biology, list at
Using genomics tools to identify quantitative trait loci, developmental
quantitative genetics and molecular evolution, molecular population
and evolutionary genetics, application of Information Theory to
genetics, fungal molecular genetics, nucleic acid design, molecular
biology and biophysics
Digital libraries, new methods of electronic scholarly
communications, information seeking behavior of bioinformatics
researchers, computer human interfaces to support information
seeking of scholarly information; computational and experimental
methods to design proteins, physical nature of interactions between
atoms, molecules, cells, and organisms; motor proteins and
transcriptional regulation; High-performance computing: algorithms,
programming languages, compilers and architectures; data mining.
Others at

"Research ...encompasses both Bioinformatics and Computational
Biology as defined by the NIH"

Computational neuroscience, computer learning, genomics,
proteonomics, computational modeling and computational software
development and applications to healthcare. Bioinformatics brings
together researchers in computer engineering, computer science,
genomics, proteonomics, neuroscience

Protein binding interactions, comparative protein structure modeling,
drug lead screening by region-based regression for QSAR analysis,
data mining of three-dimensional protein structure information,
repetitive elements as time-series genomic data., molecular
visualization, forensic analysis of DNA evidence data


3-Dimensional Breast Tumor Modeling, Large-Scale Computations
on Histology Images Reveal Grade-Differentiating Parameters for
Breast Cancer, Multi-Scale Modeling of Biological Networks and

information not readily available
Genomic and Proteomic Data: Analysis and Data Mining,
Datawarehouses and Repositories, Bayesian Modeling and Machine
Learning Methods

n/a - non-research program
Use artificial neural network to align biological ontologies,
Mathematical modeling of pathogenicity of Cryptococcus, Novel
metrics for evaluating the functional coherence of protein groups via
protein-semantic-network, microarray data storage using array data


Genotype-Phenotype Analysis, Protein modeling, Datamining
High-throughput genome sequence production; high-throughput
sequence analysis tools and pipelines; whole-genome gene finding,
gene and protein modeling, and genome annotation; advanced
bioinformation systems and laboratory information systems;
applications of high-performance biocomputing; and computational
research in molecular biology

Computer-aided drug design, Structural and Computational Biology
of Biological Machines, RNA structure, function & evolution,
Bioinformatics and Comparative Genomics

Unsupervised learning methods, automation of learning, especially
in the applications knowledge discovery in science, such as
bioinformatics and astrophysics; interplay among routing services,
transport protocols, and information dissemination problem domains

Apply robotics and computational geometry methods to research:
Structural problems in bioinformatics, protein dynamics and flexible
drug design, kinematics and conformational search issues for
molecules, functional annotation of proteins

RNA biology, Plant molecular biology, systems and synthetic biology

information not readily available

DNA sequence assembly and analysis; ecology and phylogeny;
microarray and proteomics data analysis; RNA and protein structure

Research focuses on phyogenomics, molecular modeling,
proteomics, and ecological modeling
Molecular Environmental Sciences and Genomic Evolution,
Learning and Optimization Algorithms for Computational Biology ,
RNA Structure Prediction, Protein Aggregation and Unfolding,
Protein Structural Analysis Through Computational Geometry,
Microarray Databases and Analysis Methods
functional and comparative genomics of microbial pathogens,
topology, complexity and dynamics of biological networks and
pathways, Computer-aided drug discovery and computational
chemistry, Method development for the analysis of large scale
genetic data
Molecular modeling and protein structure and function, genomic
sequence analysis from an evolutionary perspective, bioinformatics
and imaging approaches to antiviral drug discovery, biomolecular
electrostatics, protein folding and dynamics, microarray
transcription data, computational methods for use in air quality
modeling. See for

information not readily available
Phylogenetics, information systems, genomics and proteomics of
HIV and cardiovascular disease

n/a - non-research program

information not readily available
Machine learning and bioinformatics; algorithms for data mining and
machine learning, and their applications to biomedical data; Relation
of the three-dimensional structure and dynamics of proteins to their
biological functions; information extraction from on-line biomedical


information not readily available
                 Grant Funding

information not readily available

Several NIH funded projects, state-funded
research projects

information not readily available



information not readily available

Numerous grant funded projects (mostly NIH)
information not readily available

information not readily available

information not readily available

NSF and public/private foundation grants

Bioinformatics Graduate Program holds a
NIGMS Training Grant

information not readily available

The Graduate Group in Bioinformatics is
supported by an NIH training grant.
NLM training grant awarded 2006

Educational grants: National Institutes of
Health (NIH) Training Grants, grants from
foundations and companies, and from the
Bristol-Myers Squibb (BMS) Educational

information not readily available

information not readily available

information not readily available

information not readily available
information not readily available

information not readily available

information not readily available

information not readily available

information not readily available

The NSF-IGERT Training Grant which was
renewed in 2005 for five years

information not readily available

information not readily available

NIH partnership, NSF training grant, other



information not readily available

information not readily available

information not readily available

information not readily available


information not readily available

information not readily available



information not readily available

information not readily available

information not readily available

information not readily available
information not readily available

information not readily available

information not readily available

PSM offered with grant from Sloan Foundation

information not readily available


information not readily available

information not readily available

information not readily available
information not readily available

Numerous grant funded projects (mostly NIH)

information not readily available



information not readily available

information not readily available
Numerous grant funded projects (mostly NIH)


Several training grants (NLM, etc.) and NIH
research grants

Grant from Sloan Foundation

information not readily available

information not readily available

information not readily available

information not readily available

Training grants: IGERT grants on Optical
Molecular Biology or Computational
Phylogenetics, an ARO-MURI on biosensor
development, and a Beckman Foundation
grant for microarray technologies

information not readily available

information not readily available

grants from NIH, NSF, USDA and other

Professional Master program developed with
grant from the Alfred P. Sloan Foundation

information not readily available

information not readily available
Hughes Grant, NSF grants


NLM training grant


information not readily available
                                                              Year Program
           Funding Opportunities for Students                  Established

Fellowships, Graduate/Research Assistantships for MS
and PhD students                                                           1998

                                                           information not
Research Assistantships (tuition + 12,000 stipend)         readily available

Graduate assistantships for those in MS/PhD program
(none for MS only)                                                         2004

Loans                                                                      2004

                                                           information not
information not readily available                          readily available

Loans, Multiple Scholarships and Fellowships, special
need-based aid                                                             1997

NLM training funding, other grants, Stanford fellowships                   1982
No specific funding mentioned on webpage. UC
Berkeley Extension programs are not currently eligible     information not
for federally sponsored financial assistance (Title IV).   readily available
Funding for PhD students. Fellowships/grants,
teaching assistantships possible for MS students.          information not
Need-based aid                                             readily available

                                                           Core courses since
                                                           1999, PhD
Grants, assistantships, loans, etc.                        approved 2008

                                                           The Genomics &
Fellowships, Graduate/Research Assistantships,             Bioinformatics track
Grants, Scholarships                                       added in 2001

Departmental and University financial aid, TA/RA,
training grants                                                            2001

                                                           information not
Fellowships, scholarships, internships                     readily available

Stipend of 27,000 and tuition remission                    before 1998

Full support for PhD students, usual financial aid for
others                                                     Spring 2004

No specific information on funding was available on
website                                                    Fall 2003
Stipend of 30,000 and additional merit awards in first
year, after first year - support by faculty projects, also
NSF, DOE, etc. fellowship opportunities                                      2001

Stipend that grows annually ($28,000 in 2008), tuition
and health coverage, travel allotment, additional
competitive NSF fellowships                                                  2003

Fellowships and Research assistantships with Stipends
for PhD students, limited aid for MS students. Support information not
for PhD students limited to 5 years.                   readily available

                                                             information not
Teaching assistantships and fellowships available            readily available

                                                             information not
Standard loans, some scholarships and fellowships            readily available

information not readily available                                            1999

Some research fellowships and research assistantships information not
for PhD students                                      readily available
Teaching assistantships given on a competitive basis
among all the biology graduate students, small number
of tuition waivers granted every year, research
assistantships awarded by individual faculty members,
and generally only to current NIU students who have        information not
demonstrated their abilities                               readily available

                                                           information not
information not readily available                          readily available

information not readily available                                          2001

No special aid available                                                   2001

                                                           School of
                                                           Informatics founded
information not readily available                          in 2000

yearly stipend ranging from $22,000 to $30,000             information not
depending on the fellowship received, tuition waiver       readily available

information not readily available                                          2005

The Krieger School of Arts & Sciences offers a full
range of financial aid options, including federal grants
and low-interest loans, campus-based and state
scholarships and grants, and awards.                                       2004
                                                         information not
information not readily available                        readily available

Financial aid for PhD students only (fellowships)                        1999

                                                         information not
federal loans only, no grants or assistantships          readily available

No financial aid available                               unknown

                                                         information not
information not readily available                        readily available

Stipend ($26,568 in 2008) and tuition remission                          2003

                                                         information not
grants, scholarships, part-time employment available     readily available

PhD: Tuition, health care coverage, and a stipend on a
12 month basis for the first two years. MS: Does not
offer funding for masters students                                       2001

Federal Work-Study Program; Federal student loans;       information not
Graduate Assistantships                                  readily available

n/a                                                                      2002
information not readily available                   unknown

Some stipends may be available to MS students on    information not
competitive basis                                   readily available

Graduate: The most common awards for Computer
Science graduate students are Chancellor’s non-
resident awards (CNR), and graduate teaching and    information not
graduate research assistantships.                   readily available

                                                    information not
information not readily available                   readily available

                                                    information not
Typical aid potions: grants, loans and work-study   readily available

                                                    information not
information not readily available                   readily available

                                                    information not
n/a                                                 readily available

n/a                                                                 2002

information not readily available                                   2003
Typical aid potions: grants, loans and work-study                      2002

NLM and Columbia funding for PhD, no financial         PhD - 1994, MA -
support for MA                                         1996
Research and teaching assistantships and
university, corporate, or national fellowships
fund many of Rensselaer's full-time graduate           information not
students.                                              readily available

                                                       information not
information not readily available                      readily available

PhD students are fully supported by the university,    information not
except for registration fees                           readily available

Tuition reduction (merit and need-based); loans and    information not
private aid programs                                   readily available

Typical aid options, plus some research fellowships                    2004

                                                       information not
Stipend (currently $26,000), tuition remission         readily available

A significant number of fellowships along with other   information not
support generally available to NCState students        readily available
MS certificate: no specific funding, although funding
available in bioinformatics research lab (IVLab, PhD BCB program
provides in-state tuition and stipend to students for
their first 1-2 years, after which they are funded by
research assistantships in bioinformatics research labs. MS 2003; PhD 2003

information not readily available                                          2007

full tuition scholarship to PhD and MS students as well
as coverage of health and other student fees; PhD
students receive stipend of $22,000 in 2008; funding for
subsequent years from research projects a student        information not
works on                                                 readily available

Applications available for Full In-State Tuition and
Partial Funding Scholarships for freshman coming
directly from high school; No program- specific
information on funding for MS - refer to individual
departments                                                                2002

                                                           information not
n/a                                                        readily available
Student employment up to 12 hours/week (not eligible       information not
for Taships)                                               readily available

                                                           Center established
no program specific funding                                in 2004

PhD: full financial support (stipend of $25,000, tuition
remission, health insurance), Training grant-funded
post-Docs                                                                  1997
National Library of Medicine grant, National Research
Service Awards stipends, faculty research grants,
federal and alternative loan programs                                     1996
Financial aid programs available for graduate students,
awarded as fellowships, waivers for graduate student
instructors and graduate research associates, or part-    information not
time employment at USP.                                   readily available

PhD students receive $22,000 as of 2008, reduced          information not
tuition. No special aid for MS students.                  readily available

information not readily available                                         2001
Research Assistantships and tuition waivers are
available to Bioinformatics graduate students on a        information not
competitive basis and are renewable annually.             readily available

Students admitted to the program are supported with a
research/teaching stipend. The GST program offers
remission of tuition and most fees. NFS fellowships are   information not
available                                                 readily available

Stipend and fringe benefits package awarded to all        information not
graduate students enrolled. Fellowships available.        readily available

Number of scholarships                                    Fall 1998

Several scholarship and grant options                                     2001

                                                          information not
information not readily available                         readily available
All first year students are fully supported by The
Institute for Cell and Molecular Biology, including full
tuition and fees, a competitive stipend, and health and
dental insurance. Further support through employment information not
in permanent laboratory as RA or TA                      readily available

                                                          information not
information not readily available                         readily available

Depending on availability, a limited number of
assistantships and scholarships are awarded each year
on a competitive merit basis                                               2001
                                                          information not
information not readily available                         readily available

PhD: A limited number of competitive SCS graduate         UG minor added in
research assistantships carrying a tuition waiver and a   2007, Management
stipend are available each year. No special funding for   MS option listed as
BS and MS students beyond typical financial aid options   new in 2008

                                                          information not
information not readily available                         readily available

Limited number of first-year merit-based fellowships :
$21,500 stipend plus tuition and fees                                     2003

                                                          PhD - 2000,
information not readily available                         Certificate - 2008
                                                         information not
Hughes Scholarship Program for BS                        readily available

                                                         information not
information not readily available                        readily available

Some TA/RA opportunities, but students expected to be
self-supported or supported by their employers                           2001

Support for 14 predoctoral, 4 postdoctoral trainees in
the form of covered tuition and fees, as well as a       information not
monthly stipend for living expenses.                     readily available

                                                         information not
information not readily available                        readily available

                                                         information not
A number of scholarships available                       readily available
    Education                           Other Information


                  Program offers several concentrations, including public health
Traditional       and bioinformatics.




                  Part of the seven Claremont Colleges; As a result of grant
                  from the Weingart Foundation, graduates from all 23
                  California State University campuses who apply for admission
                  to MBS may be entitled to receive grants of up to $10,000
Traditional       upon acceptance.

PhD, Academic
MS - traditional;
Professional MS Students enrolled towards Professional MS degree must be
Certificate       employed throughout enrollment in the program (program is
programs - online designed for part-time study).


              Graduate program designed for those interested in PhD, MS
Traditional   as a "bailout" option



Traditional   Fall admission only



              Part of the UCSC Center for Biomolecular Science and
Traditional   Engineering

Traditional   Gaps in curricular information on the websites

              Students apply to the CBB track of the BBS (Biological and
              Biomedical Sciences) program and are part of this track for
              their first year of studies. After their first year, students join the
              CBB interdepartmental program and work towards a degree in
Traditional   Computational Biology and Bioinformatics





              Admission to the BCB program is highly competitive. Even
              exceptional applicants are admitted only when there is an
Traditional   opening with one of the participating BCB faculty
Traditional       Fall program entry

Certificate and
MEng - fully
online, rest -

                  much of information is variable and specifics depend on
Traditional       participating department

Traditional       Website appears to be under upgrade

Traditional       Joint program with Purdue University and IU at Bloomington


                  The degree is intended as a two-year program, although a
                  one-year degree may be possible for students with more
                  extensive prior training. It is also open to students
                  concurrently enrolled in a doctoral program at the Bloomberg
Traditional       School of Public Health.

Fully Online      All classes are offered in the evening or on weekends or
degree option     online, Students have up to five years to complete the
available         program.
Many courses
available online

                   MD Track added to train physician-scientists to apply and
                   develop post-genomic technologies to clinical research and
Traditional        the practice of medicine


                   All courses available in late afternoon or evening for
Traditional        employed students
                   Prerequisites include prior coursework in: Biology, Chemistry,
                   Discrete Mathematics, C or C++ through data structures,
Traditional        Calculus, OS architecture, etc.







              Note: Graduate options are mentioned on several pages, but
              departmental pages that the links eventually lead to DO NOT
              list any bioinformatics concentration/specialization options, so
Traditional   they were removed in this round of updates

              Program graduate are offered accelerated placement into
Traditional   UMDNJ's MS in Biomedical Informatics program


Traditional   This option is for enrolled students only

Traditional   Program pages have not been updated since 2004






              Certificate option available, but no rules/details spelled out on
Traditional   the website

              UB has centers for research in high performance computing,
Traditional   visualization, and the Center of Excellence in Bioinformatics.

              The Bioinformatics Research Center (BRC) built in 2000,
              located on NC State University's Centennial Campus,
              students have opportunities to work in various genomic
              laboratories on campus and in research organizations and
Traditional   companies in the Research Triangle area






              The Center is working with Drexel Colleges and Schools in
              developing a full MS curriculum leading to a masters degree
Traditional   in bioinformatics.

Traditional   MB program can be full or part-time.

              Students completing BS degree can expect to complete MS in
Traditional   one year.





              Cross-institutional program with Rice University, The
              University of Houston, The University of Texas MD Anderson
              Cancer Center, The University of Texas - Houston Health
Traditional   Science Center









Traditional   Curriculum information is not listed on the program website

Traditional   PhD and Certificate programs are being developed

Traditional   One-year practice oriented program

              Joint program with Marquette University and University of
              Wisconsin; Students are admitted to the program through
              Marquette University Graduate School, full-time and part-time
Traditional   options available



Date of Most
  Recent     Changes Since Date Added
  Review     Previous Review to Summary

             Degrees, RQs,
Dec., 2008   Links, Funding           2003
             All fields
             changed since
Dec., 2008   last review)      Dec., 2004

             courses, RQs,
Dec., 2008   Funding               Dec-04

Dec., 2008   RQs, Funding           Jun-06

Dec., 2008   Links, RQs               2003

             Funding, course
             links, year
Dec., 2008   established              2003

             Updated most
Dec., 2008   fields                   2003
             All new
             information -
             new program
             replaces prior
Dec., 2008   entry                      2003

             Links, RQs,
Dec., 2008   Funding                    2003

             Links, RQs,
Dec., 2008   Other                      2003
             Split from
             program listing     Dec., 2008

             All information
             updated since
Dec., 2008   last review                2003

Dec., 2008   all info                   2003
             Split from
             program listing     Dec., 2008

             All info updated
Dec., 2008   since last review          2003
             most info
             updated to
             available, links
Dec., 2008   changed                    2003

             Minor updates in
Dec., 2008   RQs                     Dec-04
             Degree to year
             established - all
             fields updated
             with new
Dec., 2008   information         Dec-04

             All fields
             updated -
             changed since
Dec., 2008   last review          2003

             Links, Funding,
Dec., 2008   entry RQs,           2003

             no changes
Dec., 2008   since last review   Dec-04

             Degrees, Depts.,
Dec., 2008   links, RQs          Dec-04

             Degrees, RQs,
Dec., 2008   courses              2003

             Degrees, RQs,
             Other, Funding,
Dec., 2008   Links                2003
             RQs, Other,
Dec., 2008   Links                Dec-04

             Degrees, RQs,
Dec., 2008   Links, courses          2003

n/a          n/a              Dec., 2008

             Entrance RQ,
Dec., 2008   Links                   2003

             Degrees, RQs,
Dec., 2008   courses                 2003

Dec., 2008   RQs, Funding            2003

Dec., 2008   courses               Jun-06

Dec., 2008   courses               Jun-06
Dec., 2008   courses, Dept.      2003

             Entry RQs,
Dec., 2008   courses             2003

   3/20/2006 courses             2003

             RQs, courses,
Dec., 2008   funding other       2003
             courses, RQs,
Dec., 2008   Other              Dec-04

             RQs, courses,
Dec., 2008   funding            Jun-06

Dec., 2008   courses            Dec-04

             Links, RQs,
Dec., 2008   Courses             2003

             all information
Dec., 2008   updated            Jun-06

             courses, minor
             updates in other
Dec., 2008   fields              2003
Dec., 2008   links, courses              2003
             split from CS-
             based program
             in same
             University, all
             info edited and
Dec., 2008   updated                   Jun-06

             split from
             Biology based
             program in same
             University, all
             info edited and
Dec., 2008   updated                   Jun-06

             All information
             updated, see
Dec., 2008   Other particularly          2003

             Links, Other,
Dec., 2008   Courses,                    2003

Dec., 2008   RQs, courses                2003

Dec., 2008   d all information           2003
             Dept., RQs,
             Links, courses,
Dec., 2008   other                     Jun-06

n/a          n/a                  Dec., 2008
                Dept, Links,
                RQs, courses,
Dec., 2008      year                    Dec-04

Dec., 2008      Year established           2003

      6/30/1905 department, links          2003

                Entry RQs,
Dec., 2008      courses                 Dec-04
                University, Dept,
                Degree, links,
Dec., 2008      courses                    2003

n/a             n/a                 Dec., 2008

                Links, RQs,
Dec., 2008      Courses                 Dec-04

                Degrees, RQs,
Dec., 2008      courses                    2003

                Entrance RQs,
Dec., 2008      courses                    2003
             PhD program
             became degree
             granting in 2008,
             materials to
Dec., 2008   reflect this.              2003

n/a          n/a                 Dec., 2008

             Degrees, RQs,
Dec., 2008   Links, courses             2003

             no changes
Dec., 2008   since last review          2003

n/a          n/a                 Dec., 2008

n/a          n/a                 Dec., 2008

             Degrees, RQs,
Dec., 2008   courses                    2003

             Degrees, RQs,
Dec., 2008   courses, funding           2003
             Updated all
Dec., 2008   information              2003

             Degrees, RQs,
Dec., 2008   links, courses           2003

             Dept., RQs,
             Links, courses,
Dec., 2008   funding                  2003

n/a          n/a               Dec., 2008

n/a          n/a               Dec., 2008

             Links, Degrees,
Dec., 2008   RQs, Courses          Dec-04

Dec., 2008   Courses, links,       Dec-04

Dec., 2008   Funding               Dec-04

Dec., 2008   RQs, courses             2003

Dec., 2008   courses                  2003
             Courses, RQs,
Dec., 2008   Links.                   2003

n/a          n/a               Dec., 2008

Dec., 2008   Courses, RQs             2003

n/a          n/a               Dec., 2008

             Degrees, Dept.,
             RQs, Courses,
Dec., 2008   Research                 2003

             Degrees, RQs,
Dec., 2008   research              Dec-04

             Entrance RQs,
Dec., 2008   Other                    2003

n/a          n/a               Dec., 2008
Dec., 2008   Links, courses      2003

             Degree, RQs,
Dec., 2008   links, courses      2003

             Links, Funding,
Dec., 2008   courses             2003

Dec., 2008   Funding, courses   Dec-04

Dec., 2008   Links, courses     Dec-04

Dec., 2008   RQs, courses,      Jun-06

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