Program Overview

Program Overview

The Data Science minor is designed to provide students with a comprehensive understanding of data science as both a field of study and an industry sector. This minor draws from courses within the 64 hours of core Bachelor of Science in Data Science coursework.

Program Structure

Students will complete four courses that provide:

• An introduction to the field
• Preparation in computer programming
• An introduction to data visualization
• Specific instruction in statistics Additionally, three labs will offer hands-on experience in managing and using data throughout the data lifecycle, using real-world data.

Course Requirements

The following courses are required for the Data Science minor:

• CSE 1284: Introduction to Computer Programming (4 hours)
• DSCI 2012: Data Science Lab: Data Wrangling (2 hours)
• DSCI 2013: Data Science Literacy (3 hours)
• DSCI 4013: Data Visualization (3 hours)
• MA/ST 3123: Introduction to Statistical Inference (3 hours) Students must also choose two of the following:
  • DSCI 2022: Data Science Lab: Cloud, High-Performance, and Quantum Computing
  • DSCI 3012: Data Science Lab: Description, Analysis, and Inference
  • DSCI 3022: Data Science Lab: Data Visualization
  • DSCI 3032: Data Science Lab: Artificial Intelligence

Total Program Hours

The total hours required for the Data Science minor is 19 hours.

Interdisciplinary Approach

Because data science is often practiced within a specific subject matter area, students are encouraged to work within their major departments to identify a research methodology or analysis class that will provide subject matter-specific instruction in applying data science.