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  Camden Graduate Catalog 2021-2023 Graduate School-Camden Biology, Computational and Integrative 121 Doctoral Program Degree Requirements  

Doctoral Program Degree Requirements

Doctoral Program in Computational and Integrative Biology (CIB)

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
Students accepted into the program must fulfill the requirements of the CIB program as well as the requirements of the Graduate School-Camden. The CIB doctoral program requirements are as follows:
  • Completion of a minimum of 30 graduate-level course credits and 40 research credits
  • Completion of the Ph.D. qualifying exam
  • Completion and oral defense of a thesis dissertation on original research
More information regarding the Graduate School's minimum degree requirements can be found here.

Required Courses. All CIB students must take the following courses:
56:121:603,604  Center for Computational and Integrative Biology (CCIB) Seminar (at least 4 credits)
56:121:710  Dissertation Research (at least 6 credits)
Students must take at least 3 credits per semester to maintain full-time status.

Essentials Courses.  Upon admission to the program, the Admission Committee will determine which, if any, of the essentials courses will be required. Students may receive up to a maximum of 12 credits toward their degree requirements from the essentials courses. The essentials courses are:

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.  The following is a list of approved elective courses. Other courses can be approved as elective courses by a master's student's advisory committee or a Ph.D. student's doctoral committee.

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)

Ph.D. Qualifying Exam. The requirements for successful completion of the Ph.D. qualifying exam are as follows:
  • Demonstration of technical competence in computational biology by achieving a cumulative GPA of 3.2 for six courses (3 credits each)
  • Completion of an oral exam based on a written proposal of the student's dissertation research administered by the qualifying exam committee
  • An oral and/or written evaluation of course material may also be included
The students should take the qualifying exam at the beginning of the fourth semester of study. To apply for the exam, the student must complete at least six courses (3 credits each) in the CIB curriculum. The total number of credits needed to apply for the qualifying exam is 25 credits (18 nonresearch + 3 seminar + 4 research). The student must choose a qualifying exam committee comprised of at least three examiners: a committee chair, at least one CCIB faculty member, and one examiner outside Rutgers-Camden. The student must choose or confirm a primary research adviser by the end of the first semester of study and to choose the secondary adviser and the qualifying exam committee no later than the end of the third semester of study. The two advisers should come from complementary disciplines encompassing biological and computational fields. The student must submit the written proposal to the qualifying exam committee no less than two weeks before the date of the oral defense. On the recommendation of the committee, and with the approval of the graduate program director, the student may revise the proposal and resubmit it once. The student advances to degree candidacy upon passing the Ph.D. qualifying exam. In exceptional cases, a student whose GPA falls below 3.2 may be allowed to apply to take the qualifying exam and proceed to degree candidacy at the discretion of the qualifying exam committee. A terminal master's degree may be granted at the discretion of the qualifying exam committee, and with the approval of the program director, for students who do not proceed past the Ph.D. qualifying exam but complete a suitable master's project.

.  The student must give a public presentation of his or her doctoral research and an oral defense of the dissertation before the doctoral committee, formed following the same rules as the Ph.D. qualifying exam committee. The written manuscript should be presented to the doctoral committee at least one month in advance of the defense. Subsequent to the successful defense of the dissertation, the student is awarded the terminal doctoral degree in computational and integrative biology. More information about dissertation format and submission and how to apply for graduation can be found here.

Financial Support
Typically, support for students in the form of teaching assistantships and graduate assistantships is available for five years.
For additional information, contact RU-info at 848-445-info (4636) or
Comments and corrections to: Campus Information Services.

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