Masters in Business Intelligence and Analytics
Become a creative and analytical business leader who challenges assumptions and uses data to make evidence-based decisions.
Data science has become the ultimate driver of competitive advantage. But few leaders understand the potential of Business Intelligence and Analytics (BI&A), deep learning, and predictive analytics as engines of the enterprise.
The Business Intelligence and Analytics (BI&A) 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 Business Intelligence and Analytics curriculum covers the concepts at the forefront of the data revolution — machine learning, language processing, web mining, optimization, and risk. Classes explore key business concepts while going beyond basics in R, SAS, Hadoop, Python and Spark. 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.
Business Intelligence and Analytics Capstone Experience
No graduate business education is complete without an opportunity to apply what you've learned on a project of consequence. At Stevens, that takes many forms — a consulting assignment with an industry partner, a research project that addresses an industry need, even the chance to nurture your own entrepreneurial venture — and is customized for you, your education and your career aspirations.
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.
Board of Advisors
The Businesses Intelligence & Analytics’ industry-ready curriculum is guided by an Advisory Board of distinguished leaders across multiple disciple areas that ensure students in the program receive the skills and opportunities needed to be successful after graduation.
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
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.
Full-time applications are accepted in three distinct cycles. To be considered for admission, all materials must be submitted by the deadline.
Included in admission offer
GMAT and GRE scores are optional, but candidates applying to this program are encouraged to submit them with their application.
M.S. in Business Intelligence and Analytics Careers
The M.S. in Business Intelligence and Analytics develops in-demand knowledge and skills to put you on track for career success in a variety of roles like:
Software Development Engineer
Artificial Intelligence Engineer
Business Intelligence Consultant
Potential hiring organizations include companies like: Amazon, Blackrock, Capital One, Caterpillar, JPMorgan Chase & Co., Wolters Kluwer and more.