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.
Math placement is required for one or more of the foundational courses for this minor. For more information, please review the Math Placement website.
Course Requirements
Lower-Division Courses
Basic calculus sequence
| | Either these courses | |
| AM 11A
/ECON 11A
| Mathematical Methods for Economists I | 5 |
| AM 11B
/ECON 11B
| Mathematical Methods for Economists II | 5 |
| | or these courses | |
| MATH 11A | Calculus with Applications | 5 |
| MATH 11B | Calculus with Applications | 5 |
| | or these courses | |
| MATH 19A | Calculus for Science, Engineering, and Mathematics | 5 |
| MATH 19B | Calculus for Science, Engineering, and Mathematics | 5 |
| | or these courses | |
| MATH 20A | Honors Calculus | 5 |
| MATH 20B | Honors Calculus | 5 |
Plus one course from each of the following four categories
Statistical concepts
| | Either this course | |
| STAT 5 | Statistics | 5 |
| | or these courses | |
| STAT 7 | Statistical Methods for the Biological, Environmental, and Health Sciences | 5 |
| STAT 7L | Statistical Methods for the Biological, Environmental, and Health Sciences Laboratory | 2 |
| | or these courses | |
| STAT 17 | Statistical Methods for Business and Economics | 5 |
| STAT 17L | Statistical Methods for Business and Economics Laboratory | 2 |
Computer Programming
| | Either this course | |
| BME 160 | Research Programming in the Life Sciences | 6 |
| | or one of these courses | |
| CSE 20 | Beginning Programming in Python | 5 |
| CSE 30 | Programming Abstractions: Python | 7 |
| ASTR 119 | Introduction to Scientific Computing | 5 |
Linear Algebra
One of the following courses:
| AM 10 | Mathematical Methods for Engineers I | 5 |
| MATH 21 | Linear Algebra | 5 |
Multivariate Calculus
| | Either this course | |
| MATH 22 | Introduction to Calculus of Several Variables | 5 |
| | or this course | |
| AM 30 | Multivariate Calculus for Engineers | 5 |
| | or these courses | |
| MATH 23A | Vector Calculus | 5 |
| MATH 23B | Vector Calculus | 5 |
Upper-Division Courses
Probability
One of the following "probability" 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