^{Data Analytics Degree at WSU}

_{Core}

All students are required to complete a core curriculum consisting of 54 credits in mathematics, computer science, data science, statistics, and philosophy bracketed by introductory and capstone courses designed for the degree.

## Coursework required for all tracks

##### Lower Division

- CPTS/STAT 115: Introduction to Data Analytics
- Math 171: Calculus I
- Choose one of the following
- MATH 172: Calculus II
- MATH 182: Honors Calculus II

- MATH 220: Introductory Linear Algebra
- Choose one of the following
- CPTS 131: Program Design & Develop.-Java
- CPTS 121: Program Design & Develop.-C/++

- Choose one of the following
- CPTS 132: Data Structures –Java
- CPTS 122: Data Structures -C/++

- CPTS 215: Data Analytics Systems & Algorithms

##### Upper Division

- CPTS 315: Introduction to Data Mining
- CPTS 451: Introduction to Database Systems
- CPTS 415: Big Data
- STAT 360: Probability & Statistics
- STAT 380: Decision Making & Statistics
- STAT 436: Statistical Computing with SAS & R
- Choose one of the following
- STAT 412: Statistical Methods in Research I
- STAT 423: Statistical Methods for Engineers & Scientists
- EconS 311: Introductory Econometrics (
*required for economics track*)

- STAT 419: Intro to Multivariate Stats
- PHIL 450: Data Analytics Ethics
- CPTS/STAT 424: Data Analytics Capstone