Apr 24, 2026  
2026-2027 Graduate Catalog 
    
2026-2027 Graduate Catalog

OMIS 665 - Big Data Analytics for Business


In-depth study of the concepts, methods, and tools for Data Science and Big Data Analytics with the focus on business scenarios. Topics covered include data manipulation, visualization, modeling, and communicating results to stakeholders. Students will develop expertise in data analytics techniques (e.g., clustering, regression, etc.) using both RStudio and Apache Spark.

Prerequisites & Notes
CRQ: OMIS 645 or consent of department.

Credits: 3