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Graduate School-Camden
 
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Graduate School-Camden
Actuarial and Statistical Analysis
Applied Computing
Biology 120
Biology, Computational and Integrative 121
Program
Admission Requirements
Master's Program Degree Requirements
Doctoral Program Degree Requirements
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Graduate Courses
Business and Science 137
Chemistry 160
Childhood Studies 163
Computer Science 198
Creative Writing 200
Criminal Justice 202
English 350, 352, 354, 615, 842
Forensic Science 412
History 512
Industrial Mathematics
Liberal Studies 606
Mathematical Sciences 645
Psychology 830
Public Administration 834, 831
Public Affairs 824
Teacher Education 956
World Languages and Cultures 410
Rutgers School of Business-Camden
School of Nursing-Camden
School of Social Work: Master of Social Work (M.S.W.) Program
Divisions of the University
Camden Newark New Brunswick/Piscataway
Catalogs
  Camden Graduate Catalog 2019-2021 Graduate School-Camden Biology, Computational and Integrative 121 Master's Program Degree Requirements  

Master's Program Degree Requirements


Master's Program in Computational and Integrative Biology Entrance Assessment

Prospective students will be assessed according to their undergraduate record as well as their scores on the Graduate Record Exams (GREs). Admission assessment may also include an interview with the Admission Committee, formed by the program director and key faculty members. The Admission Committee will determine the student's baseline competency for the program, and will assign courses to be followed in the first year of the program. The Admission Committee will also assign to each student an adviser, who has to be confirmed or changed by end of first semester.

It is anticipated that students will enter the program from a variety of backgrounds with bachelor's or master's degrees in biology, chemistry, computer science, engineering, mathematics, or physics.

Degree Requirements
On the basis of the entrance assessment, the Admission Committee will determine a course of study for the individual to take in the two years of graduate studies. The master of science (M.S.) degree will require a minimum of 30 credits from essentials and elective courses.

Required course
56:121:701  Master's Project (4)

Essentials courses
A maximum of 12 credits will be selected from essentials courses:

56:121:510  Essentials of Biological Chemistry I (3)
56:121:520  Essentials of Biomathematics I (3)
56:121:530  Essentials of Computer Science I (3)
56:121:540  Essentials of Integrative Biology I (3)
56:121:565  Essentials of Biophysics (3)

Elective courses
In consultation with the advisory committee, a student will select appropriate elective courses consistent with his or her interests, needs, and goals. The following is a list of some of the potential elective courses available:

56:121:511  Essentials of Biological Chemistry II (3)
56:121:521  Essentials of Biomathematics II (3)
56:121:531  Essentials of Computer Science II (3)
56:121:541  Essentials of Integrative Biology II (3)
56:115:511,512  Biochemistry I,II (3,3)
56:115:522  Protein Structure and Function (3)
56:121:620  Laboratory Rotation Practicum (4)
56:120:523  Topics In Quantitative Biology (3)
56:120:503  Estuarine Biology (3)
56:120:505  Marine Biology (4)
56:120:525  Advanced Aquatic Ecology (3)
56:120:513  Population Genetics (3)
56:120:590  Population Ecology (3)
56:120:580  Fungi In Ecosystems (3)
56:120:583  Molecular Mechanisms of Developmental Genetics (3)
56:120:588  Life at Extremes (3)
56:120:512  Mammalian Physiology (3)
56:120:515  Human Genetics (3)
56:120:508  Cell Physiology (4)
56:120:509  Cytogenetics (4)
56:120:510  Cell Ultrastructure and Function (3 )
56:120:534  Advanced Cell and Developmental Biology (3)
56:120:516  Immunology (3)
56:120:530  Molecular Carcinogenesis (3)
56:120:529  Molecular Genetics of Microorganisms (4)
56:120:585  Recombinant DNA Technology (3)
56:120:540  Neuroscience (4 )
56:120:555-556  Neurobiology (3,3)
56:120:560  Endocrinology (3)
56:120:575  Neurochemistry (3
56:121:555  Cheminformatics (3)
56:121:560  Biophysics (3)
56:160:514  Molecular Modeling (3)
56:198:541  Parallel and Distributed Computing (3)
56:198:552  Advanced Database Systems (3)
56:198:556  Computer Graphics (3)
56:198:582  Computational Modeling of Biological Systems (3)
56:645:557  Signal Processing (3)
56:645:572  Computational Mathematics II (3)
56:645:562  Mathematical Modeling (3)
56:645:560  Industrial Mathematics (3)
56:645:563  Statistical Reasoning (3)
56:645:558  Theory and Computation in Probability (3)
56:645:585  Mathematical Theory of Probability (3)

Comprehensive Exam
At the end of the program, the student's advisory committee will administer a comprehensive exam which will include an oral defense of the master's project as well as oral and/or written responses to questions testing the breadth of knowledge in the area of study. The student must select an advisory committee, with the approval of the program director, by the end of the third semester. The advisory committee is formed by three examiners including: the student adviser, a committee chair, and at least one CCIB faculty member.
 
For additional information, contact RU-info at 848-445-info (4636) or colonelhenry.rutgers.edu.
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