Admissions

Consistent with federal and state guidelines, Stony Brook University does not discriminate on the basis of race, color, sex, age, ethnicity, religion, national origin, sexual orientation, disability, marital status, or veterans' status in its educational programs or employment.

The admission requirements for the MS in Applied Health Informatics program are as follows:

  • A baccalaureate degree from an accredited institution.
  • A minimum grade point average (GPA) of 3.0 on a 4.0 scale. Applicants with a GPA of less than 3.0 may be considered for conditional admission with supporting evidence of their ability to complete the graduate program. If, by the completion of the first enrolled semester, a conditionally admitted student is able to maintain a 3.0 GPA, the applicant will be recommended for full admission to the program.
  • Three letters of recommendation, ideally from instructors, professors and/or supervisors who can comment on the applicant’s academic, professional, and interpersonal abilities.
  • An essay demonstrating interest in, an understanding of, and commitment to, this dynamic profession.
  • Unofficial transcripts from all institutions attended. Educational systems that cannot be compared to the United States must be evaluated by a US credentials evaluation service before admission can be finalized. The transcript evaluation service accepted by Stony Brook University is World Education Services (WES). All admitted students will be required to provide official transcripts to the program prior to enrolling in classes.

The Graduate Record Examination (GRE) is not required.

Applications are evaluated by the program’s admissions committee on a variety of factors including, but not limited to, academic achievement, references, strength of essay, communication skills, and knowledge of profession, and are invited for an interview as part of the application process depending on the strength of the application packet.

Please read the Before You Apply page before you start the application process.

image