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Biostatistics

Students in this program will apply their quantitative, computing and biological knowledge to problems in biomedical research, statistical genetics, and bioinformatics. The Biostatistics Minor will be especially attractive to pre-med students wishing to emphasize their quantitative skills and to distinguish themselves in the medical school applications. Students with biostatistical training are in high demand in a wide array of fields such as medical research, technology companies, pharmaceuticals, genetics, public health, and epidemiology to name a few.

Minor Requirements

  • One year of Calculus (Math 161 & Math 162 or Math 131 & Math 132)
  • One year of Biology including labs (Biol 101, 111, 102, 112)
  • Introduction to Biostatistics (Stat 335) or Statistics (Stat 203) - Stat 335 recommended unless you are in a major requiring Stat 203.
  • Advanced Biostatistics (Stat 336)
  • Any one of the following:
    • SAS Programming & Applied Statistics (Stat 303)
    • Applied Regression Analysis (Stat 308)
    • Quantitative Methods in Bioinformatics (Stat 337)

Note: 23-25 total credit hours

Students in this program will apply their quantitative, computing and biological knowledge to problems in biomedical research, statistical genetics, and bioinformatics. The Biostatistics Minor will be especially attractive to pre-med students wishing to emphasize their quantitative skills and to distinguish themselves in the medical school applications. Students with biostatistical training are in high demand in a wide array of fields such as medical research, technology companies, pharmaceuticals, genetics, public health, and epidemiology to name a few.

Minor Requirements

  • One year of Calculus (Math 161 & Math 162 or Math 131 & Math 132)
  • One year of Biology including labs (Biol 101, 111, 102, 112)
  • Introduction to Biostatistics (Stat 335) or Statistics (Stat 203) - Stat 335 recommended unless you are in a major requiring Stat 203.
  • Advanced Biostatistics (Stat 336)
  • Any one of the following:
    • SAS Programming & Applied Statistics (Stat 303)
    • Applied Regression Analysis (Stat 308)
    • Quantitative Methods in Bioinformatics (Stat 337)

Note: 23-25 total credit hours