Data Science, Master of Science

Admission

Application Deadline

• June 1

Admissions Criteria

Admission to the program is contingent upon an assessment of the candidate’s ability to successfully pursue graduate study.  This assessment will be made by examining previous academic performance, letters of recommendation, the applicant’s essay, work experience, performance on standardized exams (such as the GRE), and any other evidence that the admissions committee believes to be relevant.

Applicants must submit the following evidence of their ability to pursue graduate study:

1. A baccalaureate degree from a regionally accredited college or university. Transcripts from each institution attended must be submitted even if a degree was not conferred.
    
2. A record of scholarly achievement at the undergraduate level.  Applicants are expected to have a 3.0 (based on a 4.0 scale) cumulative undergraduate grade point average, and a 3.0 in their major field of study.  An applicant whose grade point average is below 3.0 may submit an official copy of his/her GRE to support his or her application.
    
3. Two letters of recommendation from individuals who can comment on the applicant’s academic abilities and potential to succeed in an academically rigorous graduate program.  At least one of these letters must be from an instructor who has taught and evaluated the applicant in an academic setting.
    
4. Completion of the following undergraduate mathematics course work
   1. Calculus
   2. Probability and Statistics

Contacts

Office of Graduate Admission
Office of Graduate Admission
718-990-1601
[email protected]

Faculty Contact Information

Dr. Joan DeBello 
Associate Professor
718-990-2032
[email protected]

Dr. Christina Schweikert
Assistant Professor
718-990-7439
[email protected]

Department Faculty

Please see a list of our Computer Science, Mathematics and Science faculty.

Courses