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Master of Science in


Graduates of our MS in Bioinformatics program should feel equipped to engage in productive bioinformatic research and effectively communicate research projects and findings to multidisciplinary project teams.

To see if you're on track, read through the program outcomes and required courses and electives below. Please note: students must follow degree requirements effective at time of matriculation. Do not hesitate to reach out to your student advisor with any questions about completing your degree.

Program outcomes:

  • Process and clean, store, analyze and model large volumes of biological data from multiple sources.
  • Independently and collaboratively provide insights into complex biological systems through data synthesis, experimental design, and application of a wide range of computational biology approaches.
  • Effectively communicate and present bioinformatics concepts to multidisciplinary project teams.

Required Courses

RBIF 100
Bioinformatics Scripting and Databases with Python
RBIF 102
Molecular Biology, Genetics, and Disease
RBIF 109
Biological Sequence Analysis
RBIF 111
Biomedical Statistics with R
RBIF 112
Mathematical Modeling for Bioinformatics
RBIF 114
Molecular Profiling and Biomarker Discovery

Electives (choose four)

RBIF 101
Structural Bioinformatics
RBIF 106
Drug Discovery and Development
RBIF 108
Computational Systems Biology
RBIF 110
RBIF 115
Statistical Genetics
RBIF 120
Research Topics in Computational Biology
RBIF 290
Special Topics in Bioinformatics

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