# 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 I
- STT 213: Elements of Probability and Math Statistics
- STT 214/214W: Biostatistics
- ECO 230: Economic Statistics (permission secured)
- PSC 200: Applied Data Analysis (permission secured)
- AP Statistics 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/BST 416: Applied Statistics II
- 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:
- STT 276: Statistical Computation in R
- 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, both in the same allied field. For example:

- STT 218: Introduction to Categorical Data Analysis
- STT 223: Introduction to Bayesian Inference
- BIO 253: Computational Biology
- BCS 229: Computational Models of Perception and Cognition
- ECO 207: Intermediate Microeconomics
- ECO 209: Intermediate Macroeconomics
- ECO 288/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 or 226W).

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