Data Science, Master of Science at Johns Hopkins University

Applicants (degree seeking and special student) must meet the general requirements for admission to graduate study. The applicant’s prior education must include the following prerequisites:

1. Three semesters or five quarters of calculus, which includes multivariate calculus;
2. One semester/term of advanced math (discrete mathematics is strongly preferred but linear algebra and differential equations will be accepted);
3. One semester/term of Java or Python (C++ will be accepted but the student must be at least also somewhat knowledgeable in Java or Python);

Linear Algebra or Differential Equations will be accepted in lieu of Discrete Mathematics. A grade of B– or better must have been earned in each of the prerequisite courses. Applicants whose prior education does not include the prerequisites listed above may still enroll under provisional status, followed by full admission status once they have completed the missing prerequisites. Missing prerequisites may be completed with Johns Hopkins Engineering (all prerequisites are available) or at another regionally accredited institution. Admitted students typically have earned a grade point average of at least 3.0 on a 4.0 scale (B or above) in the latter half of their undergraduate studies. Applicants may submit a detailed résumé if they would like their academic and professional background to be considered.

Undergraduate courses are offered to satisfy computer science and mathematics beyond calculus requirements.