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

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 11ACalculus with Applications

5

MATH 11BCalculus with Applications

5

or these courses

MATH 19ACalculus for Science, Engineering, and Mathematics

5

MATH 19BCalculus for Science, Engineering, and Mathematics

5

or these courses

MATH 20AHonors Calculus

5

MATH 20BHonors Calculus

5

Plus one course from each of the following four categories

Statistical concepts
Either this course

STAT 5Statistics

5

or these courses

STAT 7Statistical Methods for the Biological, Environmental, and Health Sciences

5

STAT 7LStatistical Methods for the Biological, Environmental, and Health Sciences Laboratory

2

Computer Programming
Either this course

BME 160Research Programming in the Life Sciences

6

or one of these courses

CSE 20Beginning Programming in Python

5

CSE 30Programming Abstractions: Python

7

ASTR 119Introduction to Scientific Computing

5

Linear Algebra

One of the following courses:

AM 10Mathematical Methods for Engineers I

5

MATH 21Linear Algebra

5

It is recommended that students also take AM 20 or MATH 24.
Multivariate Calculus
Either this course

MATH 22Introduction to Calculus of Several Variables

5

or this course

AM 30Multivariate Calculus for Engineers

5

or these courses

MATH 23AVector Calculus

5

MATH 23BVector Calculus

5

Upper-Division Courses

One course from the following three categories:

Probability

One of the following courses:

STAT 131Introduction to Probability Theory

5

STAT 203Introduction to Probability Theory

5

CSE 107Probability and Statistics for Engineers

5

Statistical Inference
STAT 132Classical and Bayesian Inference

5

Computational Methods
AM 147Computational Methods and Applications

5

Plus two electives from the following list of courses

STAT 108Linear Regression

5

STAT 204Introduction to Statistical Data Analysis

5

STAT 206Applied Bayesian Statistics

5

STAT 207Intermediate Bayesian Statistical Modeling

5

STAT 208Linear Statistical Models

5

BME 205Bioinformatics Models and Algorithms

5

ECE 145Estimation and Introduction to Control of Stochastic Processes

5

CSE 142Machine Learning

5

ECON 104Is There Truth in Numbers: The Role of Statistics in Economics

5

ECON 113Introduction to Econometrics

5

ECON 114Advanced Quantitative Methods

5

ECON 120Development Economics

5

ECON 161BMarketing Research

5

ECON 190Senior Proseminar

5

MATH 105AReal Analysis

5

MATH 105BReal Analysis

5

MATH 114Introduction to Financial Mathematics

5

PSYC 181Psychological Data Analysis

5

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.