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

AM11A
/ECON 11A
Mathematical Methods for Economists I

5

AM11B
/ECON 11B
Mathematical Methods for Economists II

5

or these courses

MATH11ACalculus with Applications

5

MATH11BCalculus with Applications

5

or these courses

MATH19ACalculus for Science, Engineering, and Mathematics

5

MATH19BCalculus for Science, Engineering, and Mathematics

5

or these courses

MATH20AHonors Calculus

5

MATH20BHonors Calculus

5

Plus one course from each of the following four categories

Statistical concepts
Either this course

STAT5Statistics

5

or these courses

STAT7Statistical Methods for the Biological, Environmental, and Health Sciences

5

STAT7LStatistical Methods for the Biological, Environmental, and Health Sciences Laboratory

2

Computer Programming
Either this course

BME160Research Programming in the Life Sciences

6

or one of these courses

CSE20Beginning Programming in Python

5

CSE30Programming Abstractions: Python

7

ASTR119Introduction to Scientific Computing

5

Linear Algebra

One of the following courses:

AM10Mathematical Methods for Engineers I

5

MATH21Linear Algebra

5

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

MATH22Introduction to Calculus of Several Variables

5

or this course

AM30Multivariate Calculus for Engineers

5

or these courses

MATH23AVector Calculus

5

MATH23BVector Calculus

5

Upper-Division Courses

One course from the following three categories:

Probability

One of the following courses:

STAT131Introduction to Probability Theory

5

STAT203Introduction to Probability Theory

5

CSE107Probability and Statistics for Engineers

5

Statistical Inference
STAT132Classical and Bayesian Inference

5

Computational Methods
AM147Computational Methods and Applications

5

Plus two electives from the following list of courses

STAT108Linear Regression

5

STAT204Introduction to Statistical Data Analysis

5

STAT206Applied Bayesian Statistics

5

STAT207Intermediate Bayesian Statistical Modeling

5

STAT208Linear Statistical Models

5

BME205Bioinformatics Models and Algorithms

5

ECE145Estimation and Introduction to Control of Stochastic Processes

5

CSE142Machine Learning

5

ECON104Is There Truth in Numbers: The Role of Statistics in Economics

5

ECON113Introduction to Econometrics

5

ECON114Advanced Quantitative Methods

5

ECON120Development Economics

5

ECON161BMarketing Research

5

ECON190Senior Proseminar

5

MATH105AReal Analysis

5

MATH105BReal Analysis

5

MATH114Introduction to Financial Mathematics

5

PSYC181Psychological 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.