Artificial Intelligence, Master of Science at Johns Hopkins University

Programme overview

Three semesters or five quarters of calculus, which includes multivariate calculus or equivalent One semester/term of linear algebra and one semester/term of probability and statistics or equivalent

Faculty: Whiting School of Engineering | Study mode: part-time | Location: Baltimore, MD, United States

What you will study

To earn a Master of Science in Artificial Intelligence, the student must complete ten graduate-level courses (30 credits) within five years. The curriculum consists of four core courses (12 credits) and six electives (18 credits). At least four of the six electives must be from the AI elective course list below and three of those must be at the 700-level.

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Application information

Entry requirements

Three semesters or five quarters of calculus, which includes multivariate calculus or equivalent One semester/term of linear algebra and one semester/term of probability and statistics or equivalent Two semesters/terms of Python, Java, C++ (Python preferred). This must an intermediate-level course such as EN.605.256 Modern Software Concepts in Python or equivalent. Non-credit coursework may be considered for the first semester/term requirement.

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