Johns Hopkins University Whiting School of Engineering (Engineering for Professionals) 76 courses
Applicants (degree-seeking and special students) must meet the general requirements for admission to graduate study. In addition, applicants for the Master of Science in Artificial Intelligence will likely have prior educational experience that includes an undergraduate or graduate degree in engineering or computer science. Applicants whose prior education does not include the courses listed above may still enroll under provisional status, followed by full admission status once they have completed the missing courses. Missing courses may be completed with Johns Hopkins Engineering (all courses 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. Official transcripts from all college studies must be submitted. When reviewing an application, the candidateβs academic and professional background will be considered. If you are an international applicant, you may have additional admission requirements.
Undergraduate-level courses offered to complete provisional requirements. 1
4 Core Courses 1
| Code | Course Title | Credits |
|---|---|---|
| EN.705.623 | AI Algorithm Design and Analysis | 3 |
| EN.705.603 | Creating AI-Enabled Systems | 3 |
| EN.705.601 | Applied Machine Learning | 3 |
| EN.705.605 or EN.705.608 | Introduction to Generative AI or Applied Generative AI | 3 |
Take at least 4 of the following courses (12 credits)
Independent Study
| Code | Course Title | Credits |
|---|---|---|
| EN.705.801 | Independent Study in Artificial Intelligence I | 3 |
| EN.705.802 | Independent Study in Artificial Intelligence II | 3 |
Assured Autonomy
Decision and Leadership
Deep Learning
Large Language Models (LLMs)
Robotics
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