Undergraduate Opportunities

For students interested in learning how to handle data within their discipline, there are multiple pathways. Choose a department

Elements of data science

Data science integrates math, statistics, and analysis through computer programming to clean, sift, and visualize data.

Computer programming:

Programming using R:

DATA-R 155 Introduction to R Programming
DATA-R 322: Principles of Data Science

Programming using Python:

CS 133 Foundations of Data Science
CS 233 Essentials of Data Science
CS 334 Algorithms of Machine Learning
CS 411 Databases for Data Scientists

Statistics and Analysis:

Statistics:

BUSSTAT 207, CJ 426, MATH 153, MATH 254, POLS 298, PSYCH 295, SOC 310
DATA-R 485: Statistical Modeling in R
MATH 161 Mathematics for Data Science
MATH 360 Engineering Statistics OR MATH 361 Probability and Statistics I

Analysis:

MATH 160 Survey of Calculus OR MATH 170 Calculus I
MATH 301 Linear Algebra