MSE in Artificial Intelligence (Part-time)
Johns Hopkins Whiting School of Engineering
Key Information
Campus location
Baltimore, USA
Languages
English
Study format
Distance Learning
Duration
2 years
Pace
Part time
Tuition fees
USD 50,328
Application deadline
Request info *
Earliest start date
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* rolling application
Introduction
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.
About the Program
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.
Program Highlights
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.
At the program’s completion, you will:
- 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.
Admissions
Scholarships and Funding
Several scholarship options are available, Please visit the school for more information.
Curriculum
Prerequisite Courses
- Data Structures
- Introduction to Programming Using Python
- Introduction to Probability and Statistics
- Multivariable Calculus and Complex Analysis
- Linear Algebra and Its Applications
Core Courses
- Introduction to Algorithms or
- Algorithms for Data Science followed by these three courses:
- Artificial Intelligence
- Applied Machine Learning
- Creating AI-Enabled Systems
Program Outcome
At the program’s completion, you will:
- 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.
We offer two program options for Artificial Intelligence; you can earn a Master of Science in Artificial Intelligence or a graduate certificate.