DSC 350 - Data Engineering for Data Science

This course introduces undergraduate students to the principles and practices of modern data engineering, with a focus on building scalable, reliable, and efficient data pipelines to support data science and analytics. Using a Data Intelligence Platform such as Databricks, students will gain hands-on experience in ingesting, transforming, integrating, and managing structured and unstructured data. The course emphasizes the mathematical and computational underpinnings of data engineering—including algorithms, data modeling, and optimization—while preparing students to work with enterprise-grade cloud data platforms.

Credit Hours: 3

Prerequisite or Corequisite Courses: DSC 302
Prerequisite Courses: DSC 302
Course Repeatability: Course may not be repeated.