Best online master's programs in Artificial Intelligence - Updated 2021

14 accredited Universities offer online Master's program in Artificial Intelligence. The tuiton for online Master's can range from $26,544 to $50,703. Find admission requirements, credits required for completion and compare the online master's program between these universities.

Computer Science, Information Systems and Information Technology is projected to grow 12 percent from 2016 to 2026, faster than average for all occupations. Median pay for Computer Science, Information Systems and Information Technology in 2018 was $135,800. The number of jobs were 352510.

Ranked as: #4 in Best National University
Tuition: -
State: CA
Acceptance: -
Courses in the Artificial Intelligence Graduate Program provide the foundation and advanced skills in the principles and technologies that underlie AI including logic, knowledge representation, probabilistic models, and machine learning. Learn online, along with Stanford graduate students taking the courses on campus.
Ranked as: #15 in Best National University
Tuition: -
State: NY
Acceptance: -
Machine learning (ML) has become one of the most powerful classes of tools for artificial intelligence, personalized web services and data science problems across fields. However, the use of ML on sensitive data sets involving medical, financial and behavioral data are greatly limited due to privacy concern. In this talk, we consider the problem of statistical learning with privacy constraints. Under Vapnik's general learning setting and the formalism of differential privacy (DP), we establish simple conditions that characterizes the private learnability, which reveals a mixture of positive and negative insight.

Machine Learning

Ranked as: #19 in Best National University
Tuition: $3,000
State: TX
Acceptance: -
Artificial intelligence (AI) at Rice University draws on computer science, mathematics, psychology, linguistics, philosophy and other disciplines. Much of the work at Rice is focused in the Artificial Intelligence and Robotics Group, headed by world-renowned robotics researcher. Research focuses on automata reasoning, deep learning, machine learning, optimization and large-scale machine learning, network analytics and graph signal processing, and quantum computing and algorithms.

Artificial Intelligence and Machine Learning

Ranked as: #23 in Best National University
Tuition: -
State: CA
Acceptance: -
In artificial intelligence and machine learning, we’re developing technologies that will change how we interact with the world. The institute is working on the advancement and application of the risk sciences to save lives, protect the environment and improve system performance. Director: Ali Mosleh, Evalyn Knight Chair in Engineering, professor of materials science and engineering.

Big Data, Artificial Intelligence and Machine Learning

Ranked as: #25 in Best National University
Tuition: $8,020
State: CA
Acceptance: -
Every day, the amount of data (from audio to video, and from electronic health records to browsing interests and shopping preferences) continues to increase, and there is a corresponding explosion of demand from industry for engineers who are trained to extract relevant information from such data so that it can be used to improve modern technology and society. This increased demand for qualified data scientists cannot be met with the current pool of qualified engineers. To meet this need, the Master of Science in Electrical and Computer Engineering – Machine Learning and Data Science provides students with focused, rigorous training in the theory, methods, and applications of data science, machine learning and signal, and information processing.

MS in Electrical and Computer Engineering - Machine Learning and Data Science

Ranked as: #30 in Best National University
Tuition: -
State: NC
Acceptance: -
Artificial Intelligence (AI), Machine Learning and Data Science. Gillings team wins student data analysis competition to tackle North Carolina health challenges. BIOS 511 Introduction to Statistical Computing and Data Management.
Ranked as: #32 in Best National University
Tuition: -
State: NY
Acceptance: -
The Messy Data and Machine Learning course is designed to expose students to the complex real-world datasets commonly used in machine learning applications. The course provides an accessible introduction to supervised machine learning, while covering aspects of data collection and cleaning. Specific topics include model construction, evaluation, and regularization, as well as web scraping, text data, feature construction, and measurement error. Students complete short assignments, longer homework sets, and a final project.

Messy Data and Machine Learning

Ranked as: #35 in Best National University
Tuition: -
State: GA
Acceptance: -
With the growing importance of data and data processing across all industries, it is critical for modern engineers to be nimble data scientists. For engineers who are not professional software developers, it can be tricky to break into the ecosystem of modern tooling that is required to efficiently process and learn from data. The focus of this course is to introduce the tools, theory, and methods for working with applied data science and machine learning (DS/ML).

Practical Data Science and Machine Learning for Engineers

Ranked as: #38 in Best National University
Tuition: -
State: OH
Acceptance: -
Machine Learning and Artificial Intelligence aims at providing a platform to discuss the significant impact that ML and AI has on other fields in science, society and industry. The section welcomes foundational and applied papers from a wide range of topics underpinning both ML and AI, and explores emerging cross-disciplinary themes. Big Data is no fad.
Ranked as: #58 in Best National University
Tuition: -
State: TX
Acceptance: -
The Machine Learning Specialization is for students who wish to master the machine learning skills that are required in highly technical data science careers. Students learn to utilize advanced computational algorithms needed to build platforms that expand the boundaries of machine cognitive function to provide solutions, advance automation and evolve processes.

Machine Learning Specialization

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