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Consistently rated as one of the best online master’s degrees in cybersecurity, the Johns Hopkins Engineering for Professionals cybersecurity program combines knowledge from instructors who are working to fight cybersecurity threats on the front lines with relevant courses designed to put you ahead. Deepen your ability to assess enterprise security risks, as well as gain skills in encryption, has functions, signature schemes, authentication, and research.

With the expertise of the Johns Hopkins Applied Physics Lab, we’ve developed one of the nation’s first online artificial intelligence master’s programs to prepare engineers like you to take full advantage of opportunities in this field. The highly advanced curriculum is designed to deeply explore AI areas, including computer robotics, natural language processing, image processing, and more.

We have assembled a team of top-level researchers, scientists, and engineers to guide you through our rigorous online academic courses. Because we are a hub and frontrunner in artificial intelligence, we can tailor our artificial intelligence online master’s content to include the most up-to-date practices and offer core courses that address the AI-driven technologies, techniques, and issues that power our modern world.

The online master’s in Artificial Intelligence program balances theoretical concepts with the practical knowledge you can apply to real-world systems and processes. Courses deeply explore areas of AI, including robotics, natural language processing, image processing, and more—fully online.

Be able to describe the requirements, drivers, functions, components, interdependencies, risks, and quality factors for various systems and processes.

Possess the advanced skills needed to develop new artificial intelligence features.

Select courses to tailor your degree and gain the knowledge that works best for you.

Except as provided herein, applicants must be in the last semester of undergraduate study at or hold a bachelor’s or graduate degree from the US regionally accredited college or university. While there is no automatic prohibition of the admission of students from the US nationally accredited colleges or universities, EP retains the right to assess an applicant’s courses and/or degrees earned from one of those institutions to determine their academic readiness for the Program. Applicants who hold degrees from international institutions are encouraged to apply and must meet requirements found on EP’s International Applicants webpage.

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 (when reviewing an application, the candidate’s academic and professional background will be considered).

Applicants must submit official transcripts from all post-secondary institutions attended.

No GRE is required. Should you choose to submit scores, use code 4655.

*Special students are non-degree seeking applicants who take individual courses at Johns Hopkins Engineering for Professionals without enrolling in a program. Courses taken as a special student do not necessarily count toward fulfillment of degree requirements if the student is later accepted as a degree candidate. Cases are evaluated on an individual basis.

Admissions Option 2

Master

Technology Studies

Computer Science

Artificial Intelligence

From 21st-century prosthetic limbs to speech recognition software to the widely used COVID-19 tracking map, Johns Hopkins Engineering innovations contribute to the common good. These innovations exemplify the creativity and knowledge that result from faculty and student collaboration. At Johns Hopkins Engineering, you will be immersed in studies that foster the intellectual, professional, and research skills you need for success. This starts with small class sizes and continues with unrivaled research facilities and expert mentorship that will empower you to achieve—and even exceed—your goals.

MSE in Artificial Intelligence (Part-time) Johns Hopkins Whiting School of Engineering

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