Full Area of Concentration (AOC) Requirements

Mathematics (4 semester courses)

  • Calculus 1
  • Calculus 2
  • Linear Algebra
  • Probability 1 & 2 (each is a one-mod course, making it a semester-long course overall)

It is recommended that students planning an AOC in statistics complete the calculus and linear algebra courses by the end of their second year.

Core Courses (4 semester courses)

  • Dealing with Data I
  • Dealing with Data II
  • Applied Linear Models
  • Mathematical Statistics

Continuation Courses (4 semester courses)

The continuation courses can be selected from the list below.

  • Statistical Programming and Data Science with R
  • Categorical Data Analysis
  • Statistical Learning
  • Introduction to Time Series Analysis
  • Bayesian Statistics
  • Data Visualization and Communication
  • Any tutorial completed with a statistic faculty
  • One course that is offered as part of the graduate Data Science program, such as: Data Munging and Exploratory Data Analysis; Data Visualization, Presentation, Reporting, and Reproducible Research; or Optimization and Machine Learning
  • One 3000 level course or higher taken in another discipline that uses advanced statistical methods or reasoning, with prior approval from the statistics faculty

Senior Thesis

A comprehensive data analysis project that uses various statistical methods, or a project that thoroughly reviews and evaluates a certain statistical methodology. Alternatively, the development and assessment of new statistical methodology.

Joint Disciplinary AOC Requirements

Joint and double AOCs should be developed in consultation with the statistics faculty. Joint areas of concentration with statistics usually include the following course requirements:

Mathematics (2 semester courses)

  • Calculus 1
  • Probability 1 & 2 (one semester course)

Core Courses (3 semester courses)

  • Dealing with Data I
  • Dealing with Data II
  • Applied Linear Models

Continuation Courses (3 semester courses)

Any 3 upper level semester courses offered by statistics faculty

Secondary Field Requirements

The minimal coursework to earn a degree with statistics as a secondary field (minor)

Mathematics (0.5 semester course)

  • Probability 1 (one-mod course)

Core Courses (3 semester courses)

  • Dealing with Data I
  • Dealing with Data II
  • Applied Linear Models

Continuation Courses (3 semester courses)

Any 3 upper level semester courses offered by statistics faculty, or 2 such courses plus an intermediate statistics course taken outside of Statistics.

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