Statistics Major

Students interested in applied statistics are encouraged to take additional computer science courses. Students interested in graduate school are encouraged to take additional mathematics courses.

Program Requirements

MATH 171 - Calculus I
MATH 172 - Calculus II
MATH 231 - Differential Equations with Linear Algebra OR
MATH 255 - Introductory Linear Algebra
MATH 355 - Advanced Linear Algebra
MATH 391 - Colloquium (taken twice)
STAT 241 - Engineering Statistics OR
STAT 243 - Statistics
STAT 245 - Applied Data Analysis
STAT 343 - Probability and Statistics

At least three from

DATA 303 - Applied Modeling and Visualization
STAT 341 - Computational Bayesian Statistics
STAT 344 - Mathematical Statistics
STAT 385 - Topics in Statistics

Cognate

(9 -12 semester hours)

CS 106 - Introduction to Scientific Computation and Modeling OR
CS 108 - Introduction to Computing
DATA 202 - Predictive Analytics

One of the following:

This requirement is intended to give statistics majors an opportunity to see how statistical methods are used in a particular domain context.

ECON 343 - Introduction to Econometrics
POLS 151 - Foundations of Political Science Research
PSYC 256 - Fundamentals of Research and Practice
PUBH 248 - Epidemiology
Approved Statistics 390

Statistics Major

Program Requirements

At least three from

Cognate

One of the following:

Total Semester Hours: 35-37