Data Science Applied Analytics Major (M)

This program will develop in students knowledge and skills needed to ethically manipulate and effectively analyze data, both large and small, revealing insights into problem domains.

In addition to the required courses for the major, students majoring in DSAA may select a concentration in Public Health, Environmental Issues, or Sports and Human Performance to learn context, vernacular, and key issues of a particular field.  The concentrations will be noted as an "emphasis" on students' transcripts.

Program Learning Outcomes

  • Ethical approach to Data Analysis
  • Selection and execution of stats software
  • Discern algorithms and tools
  • Application to problems
  • Communication of solutions


Core Requirements45
Major Requirements53
Total Hours120

Major Requirements

Required Courses
MATH 201Calculus I4
MATH 202Calculus II4
MATH 205Statistics I3
MATH 220Discrete Math3
MATH 305Statistics II3
CSC 200Coding I- Fundamentals3
CSC 250Coding II - Algorithms3
CSC 300Coding III- Data Structures3
CSC 410Computational Dilemmas3
CSC 430Database Fundamentals3
COMM 335Technical Writing and Speaking3
COMM 435Critical Thinking and Information Dissemination3
DSAA 200Introduction to Data Science and Analysis3
DSAA 300Data Mining and Predictive Analysis3
DSAA 310Visual Analytics3
DSAA 400Senior Research Seminar3
DSAA 499Internship3
Total Hours53