Math is the foundation of statistics. Dive into the mathematical principles that drive new advances in the field of statistics. This track is recommended for students planning to pursue a PhD program in Statistics.
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
Quantitative Electives:
- MATH 317: Advanced Calculus One Variable
- MATH 417: Advanced Calculus I
- MATH 469: Linear Algebra II
- STAT 400: Statistical Computing
- STAT 460: Applied Multivariate Analysis
Students completing this track will be eligible for a minor in Mathematics.
Please contact the undergraduate advisor at elizabeth.montgomery@
