Statistics, Minor

The field of statistics is concerned with ways of understanding variability in measurements. It is the science and art of making informed decisions in the face of uncertainty. Statistical reasoning and methods are fundamental to research in many scientific fields. For example, probabilistic models of learning are used in education and psychology, and time series and regression models guide research in engineering, chemistry, economics, biology, and medicine. The statistics minor serves these students or professionals with interests in experimental design, data analysis, or statistical modeling. Having a strong background in statistics is particularly relevant for students seeking employment in scientific fields and for students planning to pursue a teaching credential or a graduate degree.

Required Courses

Please note: Twelve of the units taken to complete a minor (6 of which are upper division) may not be used in fulfillment of other minors, concentrations, or major requirements.

Students must successfully complete a minimum of 15 units for the Statistics Minor.

Some of the listed electives have pre-requisites outside of the minor requirement. If the proper pre-requisites have not been completed within the student’s major program, the student should consider one of the STAT electives that only require introductory level statistics as a pre-requisite.

Complete one of the following introductory statistics courses:
STAT 100 - Introduction to Statistics Units: 3
STAT 250 - Applied Stat:Sci Tech Units: 4
MATH 320 - Applied Probability and Statistics Units: 4
BUS 204 - Business Statistics Units: 3
Complete one of the following courses
STAT 320 - Nonparametric Statistics Units: 4
STAT 325 - Experimental Design and Analysis Units: 4
STAT 330 - Sampling Design and Analysis Units: 4
STAT 335 - Data Simulation and Analysis Units: 4
STAT 420 - Statistical Theory I Units: 4
STAT 440 - Bayesian Inference Units: 4
Complete the following course:
STAT 410 - Generalized Linear Models Units: 4
Complete a minimum of four (4) units from the following course list:
ENVS 350 - Quantitative Field Methods Units: 4
MSCI 350 - Quantitative Marine Science Units: 4
PSY 301 - Advanced Psychological Statistics Units: 3 and
PSY 301L - Advanced Psychological Statistics Lab Units: 1
BUS 468 - Business Analytics Units: 4
CHHS 384 - Quantitative Analysis of Survey Data Units: 3
CST 383 - Introduction to Data Science Units: 4
CST 463 - Advanced Machine Learning Units: 4
BIO 410 - Bioinformatics Units: 4
STAT 210 - Statistical Computing with R Units: 1
STAT 211 - Statistical Computing with SAS Units: 1
STAT 310 - Data Visualization Units: 3
STAT 320 - Nonparametric Statistics
Units: 4
STAT 325 - Experimental Design and Analysis
Units: 4
STAT 330 - Sampling Design and Analysis
Units: 4
STAT 335 - Data Simulation and Analysis
Units: 4
STAT 421 - Statistical Theory II Units: 4
STAT 440 - Bayesian Inference
Units: 4
SBS 366 - Research Methods for SBS: Quantitative Emphasis Units: 4

Learning Outcomes

Statistics Foundations

Students must demonstrate a depth of statistical knowledge and apply their statistical knowledge to both theoretical and applied problems.

Advanced Statistics Applications

Students must demonstrate the ability to apply advanced statistics principles and methods to solve problems from their field of study.

Technology & Statistical Software

Students must demonstrate the ability to analyze, compare and evaluate the appropriateness of technological tools and their uses in Statistics, and use statistical software to conduct investigations, make conjectures, and solve problems.