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Master's

Master's Program in Biology, Computational And Integrative

Rutgers University Graduate School-Camden 50 courses 30 total credits

About This Program

Master's Program in Computational and Integrative Biology Entrance Assessment Prospective students will be assessed according to their undergraduate record as well as their personal statement and letters of recommendation. 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.

Degree Requirements

Total Credits 30 credits

Master's Program Degree Requirements

56:121:601 Seminar (4) 56:121:701 Master's Project (6) Research/Independent Study Students pursuing the Thesis track may take up to 5 credits of Dissertation Research (56:121:701) towards their 30 credit total. Students choosing the non-thesis/capstone track may use up to 6 credits of Independent Study (56:121:585) towards their 30 credit total.

Code Course Title Credits
56:121:601 Seminar in Computational and Integrative Biology 1
56:121:701 Master's Project 6
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
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
56:115:512 Biochemistry II
56:115:522 Protein Structure and Function 3
56:121:620 Laboratory Practices 1
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
56:120:560 Endocrinology 3
56:120:575 Neurochemistry 3
56:121:555 Cheminformatics 3
56:121:560 Biophysics 3
56:160:514 Introduction to Molecular Modeling 3
56:198:541 Distributed and Cloud 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 Regression and Time Series 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 Probability Theory and Stochastic Processes 3
56:645:585 Mathematical Theory of Probability 3

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Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.

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