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The Computer Science Bioinformatics Concentration at Hunter College

Bioinformatics

The Department of Computer Science curriculum engages students in rigorous exploration of ideas and theory that are shaping the future of the information age.

For Computer Science Majors: The New Bioinformatics Concentration

A new interdisciplinary concentration has been created for computer science majors. This cutting-edge research area involves computer scientists, biologists, chemists, and mathematicians and statisticians in fields such as computational biology, biological software engineering, protein chemistry, biostatistics and other hi-tech areas of research involving the health and well-being of the human population. Computer science students in the bioinformatics track follow the curriculum listed below:

Computer Science Component - 27 Credits

  • CSCI 135 (3 cr.): Software Analysis and Design I (CSCI 136 is recommended as a supplement to CSCI 135, but is not creditable toward the major)
  • CSCI 150 (3 cr.): Discrete Structures
  • CSCI 235 (3 cr.): Software Analysis and Design II
  • CSCI 260 (3 cr.): Computer Architecture I
  • CSCI 265 (3 cr.): Computer Theory I
  • CSCI 335 (3 cr.): Software Analysis and Design III
  • CSCI 340 (3 cr.): Operating Systems
  • CSCI 435 (3 cr.): Database Management
  • CSCI 493.66 (3 cr.): UNIX Tools

Biology Component - 12 Credits

  • BIOL 100 (4.5 cr.): Principles of Biology I
  • BIOL 300 (4.5 cr.): Biological Chemistry or
  • BIOL 302 (4.5 cr.): Molecular Genetics
  • BIOL 425 (3 cr.): Computational Molecular Biology

Chemistry Component - 12 Credits

  • CHEM 102/103 (4.5 cr.): General Chemistry I + Lab
  • CHEM 104/105 (4.5 cr.): General Chemistry II + Lab
  • CHEM 222 (3 cr.): Organic Cehmistry

Mathematics And Statistics Component - 17 Credits

  • MATH 150 (4 cr.): Calculus with Analytic Geometry I
  • MATH 155 (4 cr.): Calculus with Analytic Geometry II
  • MATH 160 (3 cr.): Matrix Algebra
  • STAT 213 (3 cr.): Introduction to Applied Statistics
  • STAT 319 (3 cr.): [New] Bayesian Inference in the Sciences

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