Johns Hopkins University

General admission requirements for master’s degree candidates and others seeking graduate status are as follows: applicants must be in the last semester of undergraduate study or hold a bachelor’s degree from a regionally accredited college or university.

In addition, applicants for the Master of Science in Artificial Intelligence will likely have prior educational experience that includes an undergraduate or higher major in engineering or computer science. 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.

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 linear algebra;
3. One semester/term of probability and statistics;
4. One semester/term in a programming language such as Python;
5. One semester/term of advanced programming such as Data Structures.

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. These prerequisite courses do not count toward the degree or certificate requirements. Transcripts from all college studies must be submitted.  When reviewing an application, the candidate’s academic and professional background will be considered.