斯蒂文斯理工學(xué)院

Data science has become the ultimate driver of competitive advantage. But few leaders understand the potential of A.I., deep learning and predictive analytics as engines of the enterprise.

The Business Intelligence & Analytics master's program provides a blend of analytical and professional skills to help you become the kind of manager who challenges assumptions and uses data to make evidence-based decisions. At Stevens, you'll master new tools that will help you refine products, services and strategies while setting the pace for your company in markets undergoing constant, technology-driven change.

The curriculum covers the concepts at the forefront of the data revolution — machine learning, language processing, web mining, optimization and risk. The program culminates in a capstone experience in which you'll work on a project, using real data, under the guidance of an industry mentor.

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.

Concentrations

The master's program includes a concentration tailored to the career demands of students in data science.

Data Science

This highly flexible concentration prepares students to become specialists in the highly in-demand field of data science. Working with their advisor, students select between two and four courses offered in the Computer Science, Financial Engineering and Mathematics departments at Stevens.