The master’s program provides training in the new interdisciplinary field of computational and integrative biology. The program offers course work and hands-on research experience for best understanding key concepts in biological chemistry, biomathematics, computer science, biophysics, and integrative biology. The program teaches students how to apply quantitative approaches to researching biological systems, critically analyze scientific literature in the field, and skillfully communicate scientific ideas and research results. Graduates are qualified for research careers, industry (such as pharmaceutical), or for entering a doctoral program or medical school. Some graduates continue on into the Rutgers University–Camden Ph.D. program in computational and integrative biology.

Admission Requirements

  • A transcript showing the completion of an undergraduate degree in one of the natural sciences, mathematics, computer science, or engineering
  • Three letters of reference
  • Personal statement
  • GRE scores (General Test required; Subject Test recommended)
  • TOEFL scores are required of all foreign students having English as a second language

Admission Deadlines:
Fall Priority Deadline: March 1st
Spring Priority Deadline: November 1st

APPLY NOWProgram Code 56121


Degree Requirements

30 total credits

  • Required course, master’s project (4 credits)
  • Essentials courses (maximum of 12 credits)
  • Elective courses
  • A comprehensive exam which will include an oral defense of the master’s project

Concentrations

  • Developmental Biology and Cell Signaling
  • Enhancer Analysis and Gene Regulatory Networks
  • Structural Modeling of Proteins
  • Biological rhythms (circadian and ultradian)
  • Biofuels and sustainable energy
  • Predictive toxicology and pharmacology
  • Metagenomics
  • Movement of large groups and complex systems

Graduate Faculty

Visit the Computational & Integrative Biology Graduate Faculty Listing.

Contact the Department

Dr. Grace Brannigan
(856) 225-6780
grace.brannigan@rutgers.edu
JHSC, Rm 213