Overview

The Minor in Applied Data Analytics and Intelligence for Social Impact (A-DAISI) equips undergraduate students across all disciplines with essential skills in data analysis, computational thinking, and programming—preparing them to harness data for informed, ethical, and impactful decision-making. The program targets students in social and behavioral sciences, sports administration, public health, education, political science, and more, who seek to become data-informed decision-makers, advocates, and researchers.

Curriculum Requirements

Foundational Core Course (3 credits):
EPS 251Developing Data Wrangling Skills for Social, Behavioral, and Educational Data3
Core Course (3 credits):
EPS 351Intro to Statistics for the Social, Behavioral, and Educational Sciences (Core course (or other equivalent course e.g., PSY291, PSY292, MAS201) )3
Elective Core Courses (Choose 9 credits total):9
EPS 372
Survey Methodology for the Social and Behavioral Sciences
EPS 401
Applied Regression in the Social and Behavioral Sciences
EPS 402
Statistical Programming: R, Python, and SQL for Social and Behavioral Data
EPS 403
Applied Machine Learning in the Social and Behavioral Sciences
EPS 405
Text Mining for the Social and Behavioral Sciences
Total Credit Hours15

Graduation Requirements

To successfully complete the DAISI Minor, students must meet the following graduation requirements:

  • Credit Hours
    • ​Completion of a minimum of 15 credit hours in approved coursework for the minor.
  • Grade Requirements

    • A minimum grade of C must be earned in each course counted toward the minor.

    • Students must achieve a minimum cumulative GPA of 3.0 across all minor coursework. 

  • Integration with Major Program

    • Courses used to fulfill major requirements will not be double-counted toward the minor unless explicitly allowed by both programs.