The Best Online Artificial Intelligence Degrees

Johns Hopkins University offers an online master's in Artificial Intelligence. Students learn relevant AI skills in computer robotics, natural language processing, image processing, machine learning, and is designed to train students to be artificial intelligence engineers.

Online students are taught theoretical and real world applications through the Applied Physics Lab in the Whiting School of Engineering.

Students must complete ten courses in five years. Four courses are core courses, and six are electives. Students can choose a theoretical track or an applied track for their foundational courses.

Penn State World Campus offers an online Master of Artificial Intelligence.

Credits: 33

The Master of Artificial Intelligence degree courses can provide you with the skills and knowledge required to identify, acquire, process, and prepare relevant data sets; research, prototype, and develop algorithms to solve challenging computer vision, natural language, and multi-modal data-fusion tasks; and perform other emerging operations. 

Penn State World Campus

Students earn these three graduate certificates included within the coursework:

• Foundations of Artificial Intelligence (Graduate Certificate)
• Computer Vision (Graduate Certificate)
• Natural Language Processing (Graduate Certificate)

Students also complete a 3 credit capstone course. The three certificates and the capstone project constitute the whole master's program.

The University of Texas at Austin offers an online Master's in Artificial Intelligence.

This online graduate program is designed to prepare graduates to be leaders in various industries, such as medicine, business (such as finance), and technical industries.

The delivery format is asynchronous, which allows students the flexibility to study at their own times.

Credits: 30 hours

3 credit hours are a required course (Ethics in AI), and the remaining 27 credits are Electives (nine classes of Electives). 10 courses are required (3 credits per course, totaling 30).

Courses include:

• Deep Learning
• Reinforcement Learning
• Machine Learning
• AI in Healthcare
• Optimization

Indiana University offers an online Bachelor of Arts in Artificial Intelligence.

Develop the AI skills that employers are seeking in machine learning, bot development, robotic process automation, and cognitive computing. Problem solving lies at the core of the program. Learn how to apply artificial intelligence, bot platforms, and frameworks to automate robotic and cognitive processes from start to finish.

Indiana University Online

Courses breakdown:

• Core courses: 13 credit hours
• Human-centered computing AI courses: 39 credit hours
• Mathematics and statistics courses: 12 credit hours
• Internship, thesis, or project: 6 credit hours
• AI electives: 12 credit hours
• General education courses: 24 credit hours
• General electives: as needed
• Other required course: 3 credit hours

Total credit hours required: 120

Courses include:

• Recent Trends in AI
• Introductory Data Science or Data Fluency
• AI Ethics

Maryville University offers the Master of Science in Artificial Intelligence degree online.

Students can finish this AI graduate program in two years (24 months).

Within this program students earn two professional certificates:

• Fundamentals of Artificial Intelligence
• Advanced Artificial Intelligence

Students do not need a GRE or other entrance exam for admission. Transfer credits are accepted into the program. Students learn to use relevant tools and programming languages, such as

• Google Colaboratory
• Python
• R
• Amazon Web Services
• C++

Experienced faculty teach AI skills such as computer programming, machine learning, and deep learning techniques that are relevant to real world applications.

Colorado State University Global offers an Online Master of Science degree in Artificial Intelligence and Machine Learning. The program requires students to have a background in Discrete Mathematics and Statistics.

Throughout the degree students learn core requirements such as programming and software development. The curriculum also emphasizes deep-learning libraries.

One example of this is Tensorflow leading to proficiency in Python. Students gain practical applications of how these technologies assist various industries such as:

• Healthcare
• Manufacturing
• Oil/Gas
• Automotive

Graduates of the program have careers such as:

• Intelligence or Interaction Designer
• Systems Analyst
• Software Developer
• AI or Machine Learning Scientist/Engineer

Credit requirements: 30 credits

Selection of required courses:

• Principles of Programming
• Management for the Computer Science Professional
• Principles of Software Development
• Design and Analysis of Algorithms
• Principles of Machine Learning
• Applying Machine Learning and Neural Networks - Capstone

Online instruction style: Asynchronous

Admissions and transfer credit information: Interested applicants must have a previous undergraduate degree with a 3.0 GPA. Students can be provisionally admitted if they do not meet the GPA requirement. Provisionally admitted students must submit previous transcripts, a statement of purpose, a professional resume, and CSU Global's SmarterMeasure Assessment.

Arkansas State University offers the Bachelor of Science in Digital Technology and Design: concentration in Artificial Intelligence & Machine Learning online degree.

This program teaches students computational intelligence as its applied to solve business problems. Transfer students may transfer up to 90 credit hours of qualifying credits towards the degree, making this program a potentially fast degree option for students who already have relevant credits elsewhere.

Python programming language, Java Script, and computer science skills instruction is included in the program.

Concentration courses include:

• Design and Development of AI
• Analysis and Design of AI
• AI Deployment Solutions
• Intermediate Programming
• Introduction to Machine Learning

120 credit hours are required.

Tulane University offers the online Master of Science in Computer Science with an Artificial Intelligence and Machine Learning specialization.

Students can complete this degree in 20 to 28 months (five semesters), and there is no requirement of having a GRE test or score for admission.

Courses include:

• Artificial Intelligence
• Game Programming
• Machine Learning and NLP (Natural Language Processing)
• Data Visualization

Credits required: 30 credit hours (9 core credits and 21 elective credits)

University of San Diego offers the online Master of Science in Applied Artificial Intelligence degree through the Shiley-Marcos School of Engineering.

This program intends on teaching students how to create autonomous decision making intelligence, that can apply artificial intelligence to fields such as computer vision, text analysis, and robotics, with an emphasis on ethical and socially responsible applications of AI.

Program length: 20 months (five semesters)

Credits required: 30 credits

Online students study in these three domains

• 6 credits: Fundamentals & Introductory Topics
• 21 credits: Technical Aspects of Artificial Intelligence
• 3 credits: Artificial Intelligence Capstone Project

This program is Applied Artificial Intelligence, which means that it has a focus on using AI for industrial and business purposes, within an ethical framework.

Southern Methodist University (SMU), in Dallas, Texas, offers a fully online Master of Science in Computer Science with an Artificial Intelligence Specialization. SMU is like the Ivy League school of the south. This degree teaches data mining, machine learning, and cloud computing. GRE waivers may be available to qualifying students.

This program is available to online students 24/7, night and day. Online students can participate in weekly sessions to visit face-to-face (online, virtually) with professors, so there is effectively no difference with on-campus programs with regard to access to instructors.

Credits: 30 total

Courses include:

• Artificial Intelligence
• Machine Learning in Python
• Computer Architecture
• Algorithm Engineering

This program has multiple start dates throughout the year.

Lewis University offers a comprehensive MS in Computer Science degree with several concentration options:

• Artificial Intelligence
• Cyber Security
• Digital Forensics
• Enterprise and Cloud Computing
• Software Engineering

The Online Master of Science in Computer Science degree with Artificial Intelligence concentration is excellent for students interested in machine learning.

Students gain experience in designing and implementing computing systems that collect and respond to information.

The curriculum requires:

• One core research course
• Six concentration courses
• Three electives courses
• One Master's Thesis course

Students complete Master's projects in areas such as:

• Lighting systems
• Energy grid systems that are automatic
• Remote controlled or automatic appliances
• Monitoring home security systems

Credit requirements: 33 credits

Selection of courses:

• Statistical Programming
• Robotics
• Machine Learning
• Artificial Intelligence 1 and 2
• Natural Language Processing

Online instruction style: Asynchronous aspects within an eight-week class format

Program length: As little as one year

Admissions and transfer credit information: Applicants must have a previous undergraduate degree, preferably in a related field, and a minimum GPA of 3.0. Students must also submit a two-page statement of purpose, professional resume, and two letters of recommendation. Admissions does not require GRE or GMAT scores for this program.

The University of Advancing Technology has a reputation of cutting-edge leadership in the field of online learning. The school has developed and spread a successful system of Synchronic Learning to other schools across the country. Online students take part in sequential five-week modules for a total of 15 weeks, or three modules, each semester.

The many online degree programs combine modern theory, industry standards, and experiential learning.

The online Bachelor of Science in Artificial Intelligence degree is one of the first online Bachelor's in Artificial Intelligence degrees offered in the U.S.

Students in this program gain a solid understanding of:

• Computer programming
• Building software systems
• Developing applications
• Applying theory and concepts to real-world problems

Graduates of the program have gained successful careers in:

• Architecture
• Autonomous systems
• Computer games
• Economics/market dynamics
• Sociology and more

Credit requirements: 120 total credits, with 30 credits specific to the major

Selection of required courses:

• Introduction to Databases
• Internet of Things
• Python Programming
• Linux Operating System
• Software Engineering Principles
• Deep Learning
• Augmented Reality

Online instruction style: Asynchronous

Admissions and transfer credit information: Interested applicants must submit high school transcripts or GED scores and complete answers to provided essay questions. Admissions considers evidence of leadership, personal and academic support, and technology experience.

Admissions does accept transfer credits.

The Master of Computer Science at Colorado State University can be taken fully online and on campus. Anticipate this degree taking two years to complete. Students can interact with other students and share ideas through online channels.

This degree is flexible, allowing students to work on the coursework at their own pace. This flexibility is helpful to the full-time or part-time student. The Master of Computer Science includes an in depth study of Artificial Intelligence.

Credit Requirements: 35 Credits

Selection of Courses:

• Introduction to Artificial Intelligence
• Introduction to Machine Learning
• Machine Learning
• Artificial Intelligence

Financial Aid is available. Online course schedule is the same as the on-campus course schedule.

Admission Requirements: An overall Grade Point Average of at least 3.0 (out of 4.0 scale), and a GPA minimum of 3.2 in Computer Science and mathematics courses.

Davenport University offers a comprehensive Bachelor of Science in Computer Science degree. The standard program offers students a thorough introduction to a variety of computer science topics.

These may include applied theoretical foundations to cutting-edge research in modeling and simulation. The standard program offers several specialization areas including:

• Artificial Intelligence
• Gaming and Simulation
• Computer Architecture and Algorithms

The Bachelor of Science in Computer Science with specialization in Artificial Intelligence teaches AI proficiencies such as:

• Deep learning
• Pattern recognition
• Algorithms
• Computer Vision

Students may gain course credit for specific previous professional certifications they may hold.

Credit requirements: 120 credits minimum

Selection of required courses:

• Biometric Fundamentals
• Software Engineering
• Artificial Intelligence
• Computer Vision
• Operating Systems
• Concepts of Program Languages
• Security Foundations

Start dates: Fall, Winter, or Spring semester starts

Admissions and transfer credit information: Interested students must submit official high school transcripts or GED scores along with SAT or ACT scores.

The Online Computer Science Post-Baccalaureate in Artificial Intelligence degree is excellent for undergraduate students who did not major in a computer science related field, and already have a bachelor's degree.

This program allows students to add 45 credits of coursework to an existing degree. This culminates in a Bachelor of Science as a 'second degree'.

Students may take this program as an alternative to a Master's program.

Classes provide a broad understanding of computer science. Students take 19 credit hours of elective courses for the Artificial Intelligence specialization. The AI classes cover material such as:

• Data Science Algorithms
• Cognitive Science
• Information Visualization
• Data Mining

Additionally, there are several research initiatives. Students may connect with facilities such as:

• The Autonomous Robotics & Perception Group (RPG)
• The D'Mello Emotive Computing Lab
• The Human Interaction and RObotics Group (HIRO)

Credit requirements: 45 credit hours

Selection of required courses:

• Principles of Programming Language
• Algorithms
• Discrete Structures
• Computer Systems
• Software Development Methods and Tools

Admissions and transfer credit information: Interested applicants must submit official high school transcripts, personal essay, writing supplement, one letter of recommendation, and official SAT or ACT scores.

Admissions does accepts transfer credits to this program.

The online Artificial Intelligence (AI) executive certificate program offers six courses to help students develop technological proficiency and the ability to address intricate problems while crafting inventive solutions.

The program guarantees a scholarship of up to $4K to candidates accepted into the cohort who are enrolled in the online course. This program is good for working professionals, and can be completed part-time, and lasts 18 months.

Also, the Fu Foundation School of Engineering and Applied Science and edX offer a MicroMasters program. This is the first certificate program of its kind in AI.

Degrees and Programs in AI:

This MicroMasters in Artificial Intelligence is made up of four courses:

• Artificial Intelligence
• Machine Learning
• Computer Animation
• Robotics

The course work in the MicroMasters makes up 25% of the coursework in the Master’s program in Computer Science.

The Computer Science department offers 10 fields of study related to Artificial Intelligence. These include NLP and Speech, Vision and Robotics, and Machine Learning.

Stanford's online Artificial Intelligence Graduate Certificate is available to software engineers interested in artificial intelligence. Stanford strongly recommends taking prerequisite courses in Probability for Computer Scientists and Theory of Probability.

Applicants should also have a background in linear algebra, calculus, and programming languages. Accepted students gain both foundation and advanced knowledge of the Artificial Intelligence field. Classes cover topics such as:

• Logic
• Knowledge representation
• Probabilistic models
• Machine learning

Students may use the three elective courses to create a unique educational experience that meets their career goals. Students must achieve a grade of B or higher in each class.

Credit requirements: One required course and three elective courses

Selection of courses:

• Artificial Intelligence: Principles and Techniques (required)
• Deep Generative Models
• Introduction to Robotics
• Reinforcement Learning
• Computational Logic
• Decision Making Under Uncertainty

Program length: As little as nine months. Stanford allows up to three years.

Start dates: Courses are available during the Fall, Winter, and Spring quarters

Admissions and transfer credit information: Students interested in this program must apply under the 'Non-Degree' option. Students must submit an application and any previous undergraduate transcripts for review.