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Major Requirements

Requirements for a BA in Statistics

Prerequisite:

  • MTH 161 and 162 (or MTH 171 and 172, or MTH 141, 142, and 143)

Eleven Courses as Follows

One of the following introductory courses:

  • STT 212: Applied Statistics for the Biological and Physical Sciences I (degree credit awarded for either STT 212 or STT 214)
  • STT 213: Elements of Probability and Math Statistics
  • ECO 230: Economic Statistics (permission secured)
  • PSC 200: Applied Data Analysis (permission secured)
  • AP STT with score of 4 or 5

Six Core Courses:

  • MTH 164 or MTH 174
  • STT 201/MTH 201: Introduction to Probability
  • STT 203/MTH 203: Introduction to Mathematical Statistics
  • STT 216/216W/BST 416: Applied Statistics II or STT 214/214W - Biostatistics (degree credit awarded for either STT 212 or STT 214)
  • STT 226W: Introduction to Linear Models or BST 426 Linear Models
  • STT 221W/BST 421W: Sampling Techniques

Note: Double majors with MTH may substitute MTH 202: Introduction to Stochastic Processes for STT 216. Double majors with ECO may substitute ECO 231W: Econometrics for STT 216.

Two Computational Statistics Courses:

  • STT 277: Introduction to Statistical Software and Exploratory Data Analysis
  • One from:
    • CSC 172: Data Structures and Algorithms (permission secured)
    • CSC 240/440: Data Mining (permission secured) (Prerequisites: CSC 171, 172, MTH 161; recommended CSC 242 or 262; MTH 165)
    • DSC 262/CSC 262: Computational Intro to Statistics (permission secured) (Prerequisites: MTH 161, 162)
    • DSC 265/CSC 265: Intermediate Statistical and Computational Methods (permission secured) (Prerequisite: CSC 262)

Two 200-level or higher courses where statistics-related topics and/or applications are used. For example:

  • STT 218: Introduction to Categorical Data Analysis
  • BIO 253: Computational Biology
  • BCS 229: Computational Models of Perception and Cognition
  • ECO 207: National Income Accounting Concepts
  • ECO 231W: Econometrics
  • PSC 288: Game Theory
  • PSC 404: Probability and Inference
  • MTH 165: Linear Algebra
  • MTH 208: Operations Research
  • MTH 210: Intro to Financial Mathematics
  • MTH 235: Linear Algebra
  • MTH 280: Intro to Numerical Analysis

Double Majors—Double and triple majors with statistics and biology, economics, engineering, mathematics, political science, psychology or other areas are possible. Only three courses may overlap between the two majors.

Joint Major—The BA degree with a joint concentration in mathematics and statistics is also offered.

Upper-Level Writing Requirement

Students need to complete STT 221W and one other course with a "W" designation (STT 214W, 216W, or 226W).

STT 221W and 226W both include large data sets.