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

ICS 352: Machine Learning and MIS 380: Business Intelligence and Analytics and STAT 311: Regression Analysis and STAT 301: Analysis of Variance and Multivariate Analysis
or MIS 480: Predictive Analytics

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 2025

Section	Title	Instructor	books	eservices
01	Data Science Capstone	Wei, Wei	Books for DATA-499-01 Fall 2025	Course details for DATA-499-01 Fall 2025