Business Intelligence & Analytics Curriculum Overview

The master's program trains students to understand both the business implications of Big Data and the technology that makes that data useful. In doing so, it leans heavily on the high-tech infrastructure at Stevens, which gives students direct exposure to the kind of challenges they will engage in the workplace. Students will cultivate the skills to collect, analyze and interpret data in strategic data planning and management; databases and data warehousing; data mining and machine learning; network analysis and social media; and risk, modeling and optimization, and will learn to apply those skills to business problems in order to form actionable strategy. 

Business Intelligence and Analytics Curriculum

The Business Intelligence and Analytics master's program at Stevens is available on campus or fully online.

Concentrations & Electives

With the approval of their advisor, students may take any three Stevens graduate classes to satisfy the requirements of this program. Alternatively, they may select three courses in any of the following three concentrations.

Data Analytics Concentration

Big Data Concentration

Data Science and AI Concentration

Program Architecture

The Business Intelligence & Analytics program was designed to prepare professionals for the varied set of skills they will need to become standouts in this rapidly shifting field. The four components of the curriculum ensure students develop practical knowledge that positions them to excel on the job. 

Program Architecture

The Business Intelligence & Analytics program was designed to prepare professionals for the varied set of skills they will need to become standouts in this rapidly shifting field. The four components of the curriculum ensure students develop practical knowledge that positions them to excel on the job.