Johns Hopkins University Whiting School of Engineering (Engineering for Professionals) 78 courses
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 courses. 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 prerequisites are available from the table below) 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. All official transcripts from all college studies must be submitted. When reviewing an application, the candidate’s academic and professional background will be considered. EN.605.203 - Discrete Mathematics or EN.625.251 - Introduction to Ordinary and Partial Differential Equations may be substituted for EN.625.252 - Linear Algebra and Its Applications.
Undergraduate-level courses offered to complete provisional requirements.
Core Courses 1
| Code | Course Title | Credits |
|---|---|---|
| EN.685.621 | Algorithms for Data Science | 3 |
| EN.685.603 or EN.625.603 | Foundations of Algorithm Analysis or Statistical Methods and Data Analysis | 3 |
Required Courses
EN.625.615 may also be replaced by EN.625.616.
Artificial intelligence and machine Learning
Data Management and Cloud computing
modeling and computational data science
operations research
independent study
| Code | Course Title | Credits |
|---|---|---|
| EN.685.795 | Capstone Project in Data Science | 3 |
| EN.685.801 | Independent Study in Data Science I | 3 |
| EN.685.802 | Independent Study in Data Science II | 3 |
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