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 437:  Statistical Analytics and Learning.  (Pre-req of Stat 435.)
• Choose one of the following
  • STAT 412: Statistical Methods in Research I
  • STAT 435(M): Statistical Modeling for Data Analytics.  (Highly suggested – Prereq of Stat 360.)
  • EconS 311: Introductory Econometrics (required for economics track)
• STAT 419: Intro to Multivariate Stats
• PHIL 450: Data Analytics Ethics
• CPTS/STAT 424 (CAPS): Data Analytics Capstone