Graduate Minor in Biostatistics

The Graduate Minor in Biostatistics is designed for students in non-biostatistics graduate degree programs at the University of Minnesota.

All students completing a Biostatistics Minor must have a member of the Biostatistics faculty on their final exam committee. Paperwork to complete the request for a minor can be found at the Graduate School’s website.

Questions? Contact the Biostatistics Director of Graduate Studies (bstdgs@umn.edu).

Download the program brochure (PDF)

Declaring a Minor

The process to declare a minor is based on specific criteria.
View Declaration Process

Course Options

One course may be taken S/N and all other courses must be taken A/F. Prerequisite coursework is listed in the bracket “[]”.

Biostatistics Master’s Degree Minor

Choose two courses from:

  • PubH 7415, Introduction to Clinical Trials, 3 cr [PubH 6414 or PubH 6450 or one semester graduate-level introductory biostatistics or statistics]
    OR
    PubH 7420, Clinical Trials, 3 cr [PubH 6451 or PubH 7406]
  • PubH 7430, Statistical Methods for Correlated Data, 3 cr [PubH 6451 or PubH 7406 or STAT 5303 and SAS at the level of 6420]
  • PubH 7435, Latent Variable Models, 3 cr [PubH 6451]
  • PubH 7440, Introduction to Bayesian Data Analysis, 3 cr [STAT 5101-02 or PubH 7405-06]
  • PubH 7445, Statistics in Genetics and Molecular Biology, 3cr [PubH 6451]
  • PubH 7450, Survival Analysis, 3 cr [PubH 7406 and STAT 5102]
  • PubH 7470, Statistics for Translational and Clinical Research, 3 cr [PubH 6450-51]
  • PubH 7475, Statistical Learning and Data Mining, 3 cr [PubH 6451 or PubH 7406]
  • PubH 7485, Methods for Causal Inference

Biostatistics PhD Minor, for non-statistics students

Either these two courses:

  • PubH 7401, Fundamentals of Biostatistical Inference, 4 cr
  • PubH 7402, Biostatistical Modeling and Methods, 4 cr [PubH 7401 (Fund. Biostat Inf.)]

Or these two courses:

  • PubH 7405, Biostatistics: Regression, 4 cr. [STAT 5101 or co-rec STAT 5101]
  • PubH 7406, Advanced Regression and Design, 4 cr [PubH 7405 and STAT 5102 or co-rec STAT 5102]

Plus two courses from:

  • PubH 7415, Introduction to Clinical Trials, 3 cr [PubH 6414 or PubH 6450 or one semester graduate-level introductory biostatistics or statistics]
    OR
    PubH 7420, Clinical Trials, 3 cr. [PubH 6451 or PubH 7406]
  • PubH 7430, Statistical Methods for Correlated Data, 3 cr [PubH 6451 or PubH 7406 or STAT 5303 and SAS at the level of 6420]
  • PubH 7435, Latent Variable Models, 3 cr [PubH 6451]
  • PubH 7440, Introduction to Bayesian Data Analysis, 3 cr [STAT 5101-02 or PubH 7405-06]
  • PubH 7445, Statistics in Genetics and Molecular Biology, 3cr [PubH 6451]
  • PubH 7450, Survival Analysis, 3 cr [PubH 7406 and STAT 5102, PubH 7400 (Fundamentals of Biostatistical Inference and Biostatistical Modeling and Methods)]
  • PubH 7475, Statistical Learning and Data Mining, 3 cr [PubH 6451 or PubH 7406]
  • PubH 7485, Methods for Causal Inference

Students take the required set of two courses first, before taking their choice of two courses from the “Plus 2″ list of eight.

For graduate students in statistics, the PhD minor requirements include:

These two courses:

  • PubH 7420, Clinical Trials, 3 cr. [PubH 6451 or PubH 7406]
  • PubH 7450, Survival Analysis, 3 cr [PubH 7406 and STAT 5102]

Plus two courses from:

  • PubH 7455, Modern Non-parametrics, 3 cr [PubH 7406, STAT 5102]
  • PubH 8442, Bayesian Decision Theory and Data Analysis, 3 cr [PubH 6421, STAT 5101, STAT 5102, STAT 8311]
  • PubH 8452, Advanced Longitudinal Data Analysis, 3 cr [Stat 5101, STAT 8311 and SAS or S+ experience]
  • PubH 8462, Advanced Survival Analysis, 3cr [PubH 7450, PubH 8432 and STAT 5102]
  • PubH 8472, Spatial Biostatistics, 3 cr [STAT 5101, STAT 5102 and recommend Stat 8311, PubH 8442 or PubH 7440]
  • PubH 8482, Sequential Analysis, 3cr [PubH 7450, 8432, STAT 5102]
  • PubH 8485, Methods for Causal Inference
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