Campbellsville University's one-year Master of Science in Data Science and Artificial Intelligence degree is a STEM program designed for students with a computer science background, preparing them to harness AI and machine learning to solve practical problems. This 100% online program includes 36 credits and explores project management, big data analytics, design thinking and more. Graduates can pursue data science, solutions architecture and AI engineering roles. Learn more today.

Motivated by the passion and commitment to training current and future artificial intelligence professionals for the important and fascinating work ahead, the University of San Diego offers an innovative, online AI master’s degree program — the Master of Science in Applied Artificial Intelligence (MS-AAI). The strengths of our program include a significant emphasis on real-world applications, ethics, privacy, moral responsibility, and social good in designing AI-enabled systems.

Our program is recognized as one of the top applied AI/ML graduate programs in the world. Students in our MEng AI for Product Innovation program develop strong technical skills in AI and machine learning together with an understanding of how to design and build AI-powered software products.

Stevens is traversing new frontiers in artificial intelligence by offering one of the first graduate programs in the country to explore AI applications for engineering.

In this STEM-designated program, students will gain a mastery of the three types of machine learning algorithms used to evaluate data: supervised learning, unsupervised learning, and reinforcement learning. Students will also explore natural language processing, the area of study concerning how machines comprehend and synthesize speech and text; and gain an understanding of machine vision, which is how computers can perceive their visual environment and perform automatic inspections and analyses.

Designed for students with a strong background in computer science, mathematics, or a related technical field, the MS in artificial intelligence curriculum covers core AI concepts and techniques — including machine learning, deep learning, natural language processing, computer vision, and knowledge representation.

The artificial intelligence master's will teach you to harness the benefits of AI and gain transferable skills in the responsible and impactful design, development, analysis, and deployment of artificial intelligence.

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.

In today's AI-driven economy, organizations urgently need leaders who can bridge the gap between business strategy and artificial intelligence. The Master's in Business Intelligence and AI at Stevens Institute of Technology prepares you to become that leader, combining advanced technical expertise with strategic business acumen.

As intelligent autonomous robots increasingly become part of our lives, the field of human-robot interaction seeks to understand and improve all aspects of interactions between humans and robots.

Quantic’s Master of Science in Software Engineering (MSSE) is designed to transition you from a technology generalist or early-stage specialist into an AI-focused software engineering expert in just a year. This fully online program combines asynchronous learning with real-world projects, preparing you for the AI and machine learning revolution in software development.

In support of the university’s mission, the Master of Science in Artificial Intelligence and Machine Learning (MSAIML) is designed to appeal to a broad range of individuals. The program balances theory with practice offers an extensive set of traditional and state-of-the-art courses and provides the necessary flexibility to accommodate students with various backgrounds, including computer professionals who want to expand their understanding of AI & ML, as well as individuals whose undergraduate degrees are not in Computer Science but wish to broaden their knowledge in AI & ML.