Statistics Minor
The statistics minor is available for students who wish to gain a quantitative understanding of how to (a) measure uncertainty and (b) make good decisions on the basis of incomplete or imperfect information, and to apply these skills to their interests in another field. This minor could also be combined with a major in mathematics as preparation for a graduate degree in statistics or biostatistics.
Course Requirements
Lower-Division Courses
Basic calculus sequence
Plus one course from each of the following four categories
Statistical concepts
Computer Programming
Linear Algebra
One of the following courses:
| AM 10 | Mathematical Methods for Engineers I | 5 |
| MATH 21 | Linear Algebra | 5 |
It is recommended that students also take AM 20 or MATH 24.
Multivariate Calculus
Upper-Division Courses
One course from the following three categories:
Probability
One of the following courses:
| STAT 131 | Introduction to Probability Theory | 5 |
| STAT 203 | Introduction to Probability Theory | 5 |
| CSE 107 | Probability and Statistics for Engineers | 5 |
Statistical Inference
| STAT 132 | Classical and Bayesian Inference | 5 |
Computational Methods
| AM 147 | Computational Methods and Applications | 5 |
Plus two electives from the following list of courses
Note: Students planning graduate work in statistics are recommended to choose MATH 23A and MATH 23B, STAT 204 , STAT 205, and MATH 105A and MATH 105B.