Students earning a Minor in Statistics will acquire knowledge of statistical techniques and methods, and the computational skills, such as R and SAS, to apply and implement these methods using real data. Students with statistical training are in high demand in industry in a wide array of fields such as medical research, technology companies, pharmaceuticals, insurance, finance, government, genetics, public health, sports, and epidemiology to name a few.

Curriculum

Course List

Code	Title	Hours
Required Courses
Required Mathematics Courses
Select one of the following:		6-8
MATH 161 & MATH 162	Calculus I and Calculus II
MATH 131 & MATH 132	Applied Calculus I and Applied Calculus II
Required Statistics Courses
STAT 203	Introduction to Probability & Statistics	3
or STAT 335	Introduction to Biostatistics
STAT 303	SAS Programming & Applied Statistics	3
Electives
Select two of the following:		6
STAT 304	Introduction to Probability
STAT 305	Introduction to Mathematical Statistics
STAT 306	Intro to Stochastic Processes
STAT 307	Statistical Design & Analysis of Experiments
STAT 308	Applied Regression Analysis
STAT 310	Categorical Data Analysis
STAT 311	Applied Survival Analysis
STAT 321	Computational Aspects of Modeling and Simulation
STAT 336	Advanced Biostatistics
STAT 337	Quantitative Methods in Bioinformatics
STAT 338	Predictive Analytics
STAT 344	Longitudinal Data Analysis and Mixed Modelling
STAT 351	Nonparametric Statistical Methods
STAT 370	Data Science Consulting
STAT 388	Topics
Total Hours		18

Double-Dipping Policy

Per our double dipping policy, at least 6 credit hours must be unique to this minor.

Learning Outcomes

• Students will understand the fundamentals of introductory probability and statistics and the mathematics necessary for these subjects.
• Students will develop a solid understanding of foundational statistical programming to effectively work with data, conduct statistical analyses, and generate meaningful insights, enhancing readiness for statistical roles in various professional settings.
• Students will understand several advanced statistical techniques. They will be able to use these to analyze and interpret data, and effectively communicate findings and conclusions.