Interdisciplinary Chemistry and Computer Science Program

36 credits

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Chem-bioinformatics, also known as computational biology, is an interdisciplinary field of study that leverages the mathematical, physical, chemical and computational sciences to develop novel algorithms, databases and other in silico methods to facilitate the efficient and quantitative modeling and analysis of "big" data sets generated from in vitro and in vivo chemical and biological studies and experiments. Put more succinctly, chem-bioinformatics is the science of developing and applying computational methods to collect, store, organize, retrieve, analyze and draw inferences from massive chemical, biochemical, biophysical and biological data sets. 

In this program students will:

  • Strengthen their theoretical knowledge of organic, inorganic, physical, analytical and biochemistry
  • Strengthen their theoretical knowledge of computer science, mathematics and statistics
  • Develop theoretical expertise in chem-bioinformatics
  • Develop practical, hands on skills in chem-bioinformatics
  • Learn to develop and apply novel computational methods for collecting, storing, organizing, retrieving, analyzing and modeling "big" chemical and biological data sets
  • Learn how to create databases, algorithms and other computational and statistical techniques to solve formal and practical problems and analyze relationships arising from massive chemical and biological data sets.  For example, students will have opportunities to explore the use of advanced computational and mathematical methods, such as graph theory, neural networks and machine learning, to study genes and gene networks, protein structure, function and evolution, metabolomics, and cellular systems biology
  • Learn how chem-bioinformatics can be leverage to develop novel, safe and effective drugs to treat cancer, neurodegenerative disorders, infectious maladies and other diseases
  • Learn to effectively communicate scientific information, in both written and oral forms

Required Courses | 22 credits

  • CH 522 Organic Synthesis 3 CR
    • OR CH 521 Advanced Org. Chemistry
  • CH 533Biophysical Chemistry 3 CR
    • OR CH 531 Advanced Physical Chemistry
  • CH 553 Inorganic Chemistry 3 CR
  • CH 590/CH 590L Cheminformatics and Lab 3 CR
  • CH 545/CH 545L Bioinformatics and Lab 3 CR
  • CS 603 Database Design 3 CR
  • CS XXX Machine Learning 3 CR
  • CH 598 Comprehensive Exam 1 CR

Elective Courses | 14 credits 

  • CS 550 Dynamic Web Page Development 3 CR
  • CS 551 Intro to object-oriented programming with Java 3 CR
  • CS 615/348 Programing in Unix 3 CR
  • CH 526 Medicinal Chemistry and Pharmacology 3 CR
  • CH 547 Computational Chemistry & Molecular Modeling 3 CR
  • CH XXX Mathematics and statistics for Bioinformatics 3 CR
  • CH 597 Molecular Modeling and Drug Design 3 CR
  • CH XXX Special Topics 2 CR
  • CH 525 Supramolecular 3 CR
  • CH 529 NMR and Lab 3 CR
  • CH 561 Adv. Environmental Chemistry 3 CR