The Ph.D. in Data Science is a full-time program offered on the Stevens campus in Hoboken, NJ. Applicants must have technical backgrounds — either a master’s degree in a field like computer science or business analytics, or relevant work experience. The program has a strong practical research component, so students will need the intellectual curiosity to do important research alongside Stevens faculty who are breaking new ground in theory and application of data science.

Students in this program must start in the fall semester of the academic year. The application deadline to the program for a fall start is Feb. 1; applicants receive an admissions decision on or about Feb. 15.

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Admission requirements

Admission to the Ph.D. in Data Science is a highly competitive. Classes and research projects explore high-tech concepts in great depth, so only technically oriented students with the highest academic credentials will be admitted.

A list of Stevens admissions criteria is available at Graduate Admissions. Some specialized requirements for entry into this program include: 

  • An excellent GMAT or GRE score.
  • Prerequisite courses in calculus, statistics, probability, algebra and database management.
  • Fluency in at least one programming language, like C++ or Java.
  • For international students: An excellent TOEFL or IELTS score.

A master's program in a technical discipline is a requirement for the program, although outstanding candidates with bachelor's degrees will be considered, as well. At Stevens, degree programs like those in Business Intelligence & Analytics, Computer Science, Financial Analytics, Financial Engineering, Biomedical Engineering and Chemical Biology are excellent preparation for the Data Science doctoral program. 

Relevant work experience will be factored into an admissions decision, but is not a requirement for entry to this program.