Students learn Hadoop at a software boot camp in Stevens' Hanlon Lab.
The high-tech Hanlon Financial Systems Lab allows professors to incorporate Hadoop, NoSQL and other technologies in lessons and collaborative projects.

The master's in Business Intelligence & Analytics was created to connect quantitatively oriented students with industry, to prepare them to bring a blend of management and analytical skills to companies in financial services, life sciences, retail, media and beyond. The curriculum is designed to build upon the kind of undergraduate work students are exposed to in pursuing undergraduate degrees in science, mathematics, computer science and engineering. The program is available to students who wish to pursue this degree full- or part-time.

Apply NowCurriculum OverviewRequest Information

Experience recommended

Admission to this program is highly selective, and at least one year of work experience is preferred in order to keep classroom discussing moving at a brisk pace. However, applicants are not required to have experience, and can enroll in the program immediately after completing a bachelor's degree.

To be considered, students must include the following with their applications:

  • Two letters of recommendation.
  • Official transcript from each academic institution attended.
  • Official conferment of your bachelor’s degree, with a B average, in science, mathematics, computer science, engineering or a related field.
  • One year of calculus.
  • One course covering basic probability, hypothesis testing and estimation.
  • An up-to-date résumé.
  • Competitive GMAT or GRE score.
  • Competitive TOEFL score (international students only).

Location advantage

Its unique location just across from Manhattan supports the Stevens master's in Business Intelligence & Analytics by putting the campus within easy reach of many Fortune 500 companies — most of whom have an insatiable thirst for data scientists and managers who combine business and analytical skills. Recruiters frequent the Stevens campus to meet the best and brightest students, while managers deliver guest lectures or suggest consulting work for students and faculty researchers. The university's location is felt strongest in a required practicum course in which students work on a major project, using real data, under the guidance of an industry mentor at a nearby company.