Schools

School of Natural Sciences

Bachelor of Science in Applied Statistics - Online Collaborative

Degree Requirements

Students receiving the Bachelor of Science in Actuarial Science must complete 120 total credit hours including:

  • General Education Core (30 cr.)
  • Mathematics Core (21 cr.)
  • Statistics and Probability Core (24 cr.)
  • Programming Core (3 cr.)
  • Upper-level Statistics Electives (12 cr.)
  • Electives as needed to complete 120 total credit hours

  • A minimum of 30 credit hours at the 300- or 400-level
  • Courses required for the major must be completed with a grade of C or higher
  • Courses are 3 credit hours unless otherwise noted
  • A minimum GPA of 2.0 is required

Mathematics Core (21 cr.)

  • Complete 21 credits within the following courses:
    • MATH-M 215 Calculus 1 (5 cr)
    • MATH-M 216 Calculus II (5 cr)
    • MATH-M 311 Calculus III 
    • MATH-M 301 Linear Algebra and Application
    • MATH-M 303 Linear Algebra for Undergrad
    • MATH-M 447 Mathematical Models/Applications I
    • MATH-M 448 Mathematical Models/Applications II

Probability and Statistics Core (24 cr.)

  • Complete 8 of the following courses:
    • MATH-M 360 Elements of Probability
    • MATH-M 366 Elements of Statistical Inference
    • MATH-M 367 Introduction to Stat Programming in R
    • MATH-S 420 Introduction to Statistical Theory
    • MATH-M 463 Introduction to Probability Theory 1
    • MATH-M 466 Introduction to Mathematical Statistics
    • MATH-M 574 Applied Linear Regression
    • STAT-S 252 Data Modeling and Inference
    • STAT-S 431 Applied Linear Modeling
    • STAT-T 437 Categorical Data Analysis
    • STAT-S 470 Exploratory Data Analysis
    • STAT-S 475 Statistical Learning and High-Dimensional Data Analysis

Programming Core (3 cr.)

  • CSCI-A 201 Introduction to Programming I

Upper-Level Statistics Electives (12 cr.)

  • Complete 4 of the following courses:
    • MATH-M 562 Designing of Experiments
    • MATH-M 576 Forecasting
    • STAT-S 432 Applied Linear Models II
    • STAT-S 437 Statistical Survey Methods
    • STAT-S 450 Time Series Analysis

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