Statistics is used in nearly every health field, including clinical medicine, nursing, and epidemiology. This track provides an overview of skills needed to analyze and communicate health related data.
Introductory Courses
These courses make up the introduction to the Statistics program, 5 credits.
- First year seminar (STAT 192)
- Introduction to R Programming (STAT 158)
- Culture and Coding: Python (CS 150B)
Statistics Core
These courses make up the core of the Statistics program, 18 credits.
- Statistics Theory and Practice (STAT 315)
- Data Analysis I and II (STAT 341 & STAT 342)
- Probability and Mathematics Statistics I and II (STAT 420 & STAT 430)
- Statistics Research Methods (STAT 472)
Math Core
- MATH 160: Calculus I
- MATH 161: Calculus II
- MATH 251: Calculus III
- MATH 235: Intro to Math Reasoning
- MATH 369: Linear Algebra
Health Electives:
- ERHS 332: Principles of Epidemiology
- STAT 305: Sampling Techniques
- STAT 331: Intermediate Applied Statistical Methods
- DSCI 445: Statistical Machine Learning
- STAT 460: Applied Multivariate
Many students will add a minor to complement this track, including Bioinformatics, Biomedical Sciences, or Health and Exercise Science. Talk to an advisor to explore your options!
Please contact the undergraduate advisor at elizabeth.montgomery@
