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DATA 499 Data Science Capstone

This course provides a culminating experience in formulating and resolving data science and business analytics questions, regardless of domain or nature of scientific inquiry. Students work in teams on a comprehensive project to apply data science concepts and principles. Students will complete a real-world project with data collection, data cleaning, data visualization, data modeling and analysis, and presentations of findings.

Prerequisites

Special information

Note: Students whose prerequisites are not identified by the system should contact the Math and Statistics Department for an override at MATH@metrostate.edu.
4 Undergraduate credits

Effective December 17, 2018 to present

Learning outcomes

General

  • Formulate and resolve deep and impactful questions to scientifically explore chosen project areas, in consultation with subject matter experts as appropriate.
  • Discover, source, and assimilate appropriate data sources, especially employing creative approaches to linking data from diverse sources following ethical guidelines.
  • Conduct appropriate data analyses without bias.
  • Refine and enhance teamwork and communication skills to produce professional presentations.
  • Discuss and report implications of professional work as a data scientist.

Fall 2026

Section Title Instructor books eservices
01 Data Science Capstone Wei, Wei Books for DATA-499-01 Fall 2026 Course details for DATA-499-01 Fall 2026