Apply statistical methods and data analysis to the field of economics. Students will learn to analyze economic trends, identify models, and use time series data for effective econometric forecasting.
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
These courses make up the math component of the Statistics Major, 11-12 credits.
- Math for Computational Science I and II (MATH 156 & MATH 256)
- Linear Algebra (DSCI/MATH 369)
- Intro to Math Reasoning (MATH 235)
Note: most students start at a lower level of math – students do not need to be ready for calculus in the first semester!
Econometrics Electives:
- ECON 435: Intermediate Econometrics
- ECON 436: Economic Forecasting
- ECON 535: Applied Econometrics
- DSCI 445: Statistical Machine Learning
- STAT 400: Statistical Computing
Looking for a deeper understanding of economics? Talk to an advisor about a Statistics/Economics double major!
Please contact the undergraduate advisor at elizabeth.montgomery@
