Data Science

The overarching goal of data science is to be able to process, organize, and analyze large data sets to distill meaningful patterns and trends. Data science students will learn how to use the tools and problem-solving skills of mathematics, computer science and application domains to gather information from complex, multidimensional data sets.

Course Number Description Prequisites Credits
DS 110 Introduction to Data Science   3 credits
MA 220 Intro to Prob and Stats or any other Intro Stats from other depts.  MA 130 4 credits
CS 110 Computer Sci. I   3 credits
MA 116 Discrete Structures   4 credits
MA 130 Calculus I   4 credits
MA 160 Linear Alg.  MA 130 3 credit
CS 370 Database Mgmt Sys  CS 110 3 credits
DS 352 Machine Learning  DS 110, CS 110 3 credits
IM 242 Information Visualization  DS 110 or IM 110 3 credits
MA 321 Multivariate Stats  A stat class and MA 130 3 credits
DS 325 DS Consulting  A stat class and CS 110 3 credits
DS 375 Big Data  CS 370 and DS 110 3 credits
DS 210 Data Acquisition  DS 110 and CS 110 3 credits

cognate area courses 12 credits
Total credits = 54

Upper-level Credit Hours (>=300): 18

One CW Course within the POE: DS 325