Best Master's in AI Degree Programs (2026)

Updated on 1/27/2026

Artificial intelligence has moved from a niche research area into a core driver of innovation across industries, from healthcare and cybersecurity to data analytics and software engineering. As demand for advanced AI skills grows, more universities are offering master’s-level programs designed to prepare learners for both technical and applied roles in artificial intelligence.

A master’s degree in artificial intelligence can take several forms, including dedicated AI degrees and computer science programs with a strong AI focus. Many of today’s top programs are designed with working professionals in mind, offering flexible online, hybrid, or campus-based formats that balance academic rigor with real-world relevance.

What Is a Master's in Artificial Intelligence Degree?

This graduate degree program focuses on an advanced understanding of AI systems for research and applications purposes. Such programs require about a two-year enrollment and involve an in-depth study of the creation and deployment of AI systems in robotics, machine learning, natural language processing, deep learning, and computer vision. This covers a range of sub-disciplines in areas like AI, machine learning, data science, and other concentrations mentioned in the next section.

Types of Master's in AI Degree Programs

There are multiple types of AI master's degrees you can earn to gain real-world skills using this important new technology. These hands-on learning programs combine classroom learning and research with various practical applications of programming languages, intelligent systems, and more.

• Master of Science in artificial intelligence (MSAI): An MS in artificial intelligence degree trains AI professionals in the latest design and implementation techniques for AI systems.
• Master of Engineering (MEng) in artificial intelligence: This engineering program encourages students to understand AI systems through the lens of data science and complex algorithms.
• Master of Science (MS) in machine learning: An advanced machine learning program involves a heavily quantitative study of machines capable of deep learning and AI decision making.
• Master of Science in computer science with a concentration in artificial intelligence: This computer science degree offers a blend of traditional computational-design training with an emphasis in AI systems, AI applications, neural networks, and more.
• Master of Science in robotics: A master's degree in robotics trains graduate students in every advanced detail regarding algorithms, control systems, and other mechanisms for automated technology.
• Master of Science in data science/data analytics: These programs train advanced data analysts to become proficient in graphing technology for an array of sophisticated AI purposes.
• Master of Science in artificial intelligence in healthcare: The healthcare industry continues to incorporate more AI systems into its technical framework, making this an ideal academic background for anyone wishing to integrate their technical skills into shaping modern medical equipment.
• Master of Science in artificial intelligence in cybersecurity: This degree program covers the important intersection between web security and emerging AI technologies, including how to use AI to minimize online threats and disturbances.

Best Master’s in Artificial Intelligence Programs

The programs below represent some of the strongest master’s-level artificial intelligence options available today. Each combines academic reputation with accessibility, offering world-class instruction through formats that support both full-time students and working professionals.

1. Maryville University

Maryville University offers a forward-looking master’s program in artificial intelligence and machine learning that is designed to balance technical depth with practical application. The curriculum consists of eleven total courses, combining core AI coursework with electives that allow students to explore areas such as machine learning models, optimization techniques, and real-world problem solving. Because the program is structured around manageable credit hours and flexible pacing, it appeals to learners who want a graduate experience that fits alongside professional commitments.

One notable feature of Maryville’s approach is its accelerated pathway for current undergraduates, which allows qualified students to begin taking graduate-level AI courses during their senior year. This structure can shorten overall time to completion while easing the transition into advanced AI study. Accredited by the Higher Learning Commission (HLC), Maryville’s program is excellent for students seeking a practical, accessible master’s in AI with opportunities for experiential learning rather than purely theoretical research.

2. Wake Forest University

Wake Forest University takes a distinct approach to graduate AI education through its master’s program in artificial intelligence strategy and innovation. Rather than centering exclusively on technical model development, the program emphasizes “human-first” AI design, ethical decision-making, and the strategic application of AI technologies across organizations. Students engage with coursework that blends artificial intelligence concepts, data analytics, and applied optimization to support responsible AI deployment in real-world environments.

Delivered fully online and accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC), the program is designed for working professionals in fields such as business, healthcare, education, and data-driven management. This makes Wake Forest a strong option for learners who want advanced AI skills without pursuing a deeply technical computer science track. The curriculum prepares graduates to lead AI initiatives, evaluate AI systems, and integrate intelligent technologies into complex organizational workflows.

3. Georgia Institute of Technology

Georgia Institute of Technology (Georgia Tech) offers one of the most expansive graduate ecosystems for artificial intelligence, machine learning, and data science in the country. Through multiple master’s-level pathways, including online options, students can focus on advanced AI topics such as computational perception, robotics, autonomous systems, and intelligent optimization. Coursework frequently explores cutting-edge areas like robot–human interaction, multi-robot coordination, and planning algorithms for autonomous intelligence.

Accredited by SACSCOC, Georgia Tech’s AI-focused master’s options are deeply technical and research-informed, making them best for learners with strong backgrounds in computer science, engineering, or applied mathematics. The programs emphasize hands-on learning with large datasets, algorithmic design, and AI systems development, preparing graduates for advanced roles in robotics, big data, and intelligent software engineering.

4. University of Washington

The University of Washington offers multiple graduate pathways connected to artificial intelligence and machine learning through its College of Engineering, including master’s-level programs that emphasize applied AI for engineering contexts. These programs focus on how AI technologies are used in areas such as manufacturing systems, chemical processing, robotics, and large-scale optimization problems, making them especially relevant for learners interested in industrial and engineering applications of AI.

Coursework is highly hands-on and often built around real datasets, advanced algorithms, and systems-level problem solving rather than abstract theory alone. Because the programs are delivered through an engineering framework, students are expected to arrive with a solid technical foundation and complete a defined number of credit hours tied closely to applied project work. Accredited by the Northwest Commission on Colleges and Universities (NWCCU), the University of Washington’s AI-related master’s options are a great fit for engineers who want to apply artificial intelligence directly to complex, real-world systems.

5. Texas A&M University

Texas A&M University offers an online master’s degree in computer science that allows students to pursue advanced study in artificial intelligence, machine learning, and related fields such as cybersecurity and software systems. The program is designed to be rigorous and technically focused, with coursework that emphasizes algorithms, data structures, optimization, and AI system design rather than introductory concepts.

Students progress through the degree by completing a structured sequence of graduate-level credit hours, typically over a period of up to two and a half years. While the program is delivered online, it maintains the academic expectations of Texas A&M’s on-campus offerings and is accredited by SACSCOC. This makes it a strong option for learners with a solid background in science or mathematics who want a flexible but demanding master’s program in artificial intelligence and computer science.

6. East Carolina University

East Carolina University approaches artificial intelligence from a data-driven perspective through its master’s program in data science, which includes a strong emphasis on analytics and intelligent systems. The curriculum focuses on quantitative analysis, mathematical modeling, trend identification, and data visualization, helping students understand how AI and machine learning are applied to interpret and act on complex datasets.

Available both on campus and online, the program offers flexibility for learners who want a more self-paced graduate experience or the option to engage directly in a classroom environment. Coursework integrates AI-related methods with applied analytics, preparing graduates for roles that require translating big data into actionable insights. Accredited by SACSCOC, East Carolina’s program is a good fit for students interested in the analytical and applied side of artificial intelligence rather than pure model development.

7. Florida International University

Florida International University (FIU) offers a master’s program in data science and artificial intelligence that blends technical AI training with applied analytics. The curriculum is designed for students with backgrounds in fields such as data analytics, business analytics, biostatistics, or public policy, and it emphasizes how artificial intelligence supports evidence-based decision-making in organizational settings.

As students move through the program, they work with real-world datasets and programming tools such as Python, SQL, and R, applying machine learning and NLP techniques to solve applied problems. The degree culminates in a capstone project that demonstrates practical AI and data analysis skills. Accredited by SACSCOC, FIU’s program is well suited for learners who want hands-on experience applying AI technologies to industry-focused challenges.

8. New Mexico State Global Campus

New Mexico State Global Campus offers a fully online master’s program in data analytics that prepares students for AI-adjacent roles in data-driven industries. The program emphasizes practical skill development, helping learners understand how artificial intelligence, machine learning, and big data tools are used to support analysis, forecasting, and strategic decision-making.

Coursework is structured to support working professionals through an online, self-paced format, allowing students to balance graduate study with professional responsibilities. Students develop competencies in data analysis, visualization, and applied analytics that translate directly to roles in healthcare, research, and technical services. The university is accredited by HLC, ensuring the program meets recognized academic standards.

9. Southwest Baptist University

Southwest Baptist University offers a master’s degree in artificial intelligence that is designed to be both flexible and accessible for graduate learners. The program includes an accelerated one-year completion option and allows students to combine online and in-person coursework, making it appealing to those who need adaptable scheduling while pursuing advanced AI skills.

The curriculum emphasizes core artificial intelligence concepts, applied machine learning, and intelligent system design, with opportunities to transfer credit hours from prior graduate coursework. Accredited by HLC, Southwest Baptist’s program provides a regionally recognized pathway for students seeking a focused master’s in AI without the barriers often associated with larger research universities.

How We Rank Schools

To create this list, we review data from the U.S. Department of Education College Scorecard and the National Center for Education Statistics (NCES), along with detailed program information published by each university. Because artificial intelligence programs can vary widely in structure and focus, we also evaluate how clearly each master’s program integrates AI into its core curriculum rather than treating it as a minor add-on.

In addition to institutional data, we assess how well each program balances academic rigor with accessibility for modern learners. The criteria below reflect the factors that matter most to students pursuing advanced AI education at the master’s level.

• Academic reputation: Programs are offered by well-established universities with strong records in computer science, engineering, or artificial intelligence research.
• Curriculum depth: Each master’s program includes advanced coursework in areas such as machine learning, deep learning, algorithms, and intelligent systems.
• AI integration: Artificial intelligence is embedded throughout the degree program, either as a dedicated AI master’s degree or a clearly defined AI-focused pathway.
• Accessibility: Programs offer online, hybrid, or flexible enrollment options that support working professionals and nontraditional learners.
• Graduate outcomes: Degrees are structured to support advanced technical roles, applied AI work, or continued research and doctoral study.

What Makes a Master’s in AI a Top Program?

A top master’s in AI program goes beyond introductory concepts and focuses on advanced machine learning, deep learning, and intelligent systems. Strong programs emphasize core courses in algorithms, neural networks, and data analysis, while also allowing students to explore electives in areas such as natural language processing, computer vision, robotics, or generative AI.

Program quality is also shaped by faculty expertise, curriculum depth, and how closely coursework reflects real-world applications. Many leading AI master’s programs integrate hands-on projects, capstone experiences, and applied research using real datasets and modern programming languages like Python. Whether delivered online or on campus, the best programs combine theoretical foundations with practical AI skills that translate directly to graduate-level roles.

How to Choose the Right Master’s in Artificial Intelligence

Choosing the right master’s in artificial intelligence starts with understanding how different programs approach AI education. Some degrees emphasize theoretical foundations and research, while others focus on applied learning and professional skill development.

Define Your Career Focus

If your goal is research or future doctoral study, programs with strong theoretical coursework and research opportunities may be the best fit. Learners interested in industry roles often benefit from applied AI programs that emphasize hands-on projects, capstone experiences, and real-world problem solving.

Review Technical Prerequisites

Many AI master’s programs expect incoming students to have prior coursework or experience in computer science, mathematics, or programming. Reviewing prerequisites such as linear algebra, data analysis, or programming languages like Python can help you determine whether additional preparation is needed.

Compare Delivery Formats

AI master’s programs may be offered online, on campus, or in hybrid formats. Online programs often appeal to working professionals who need flexibility, while on-campus or hybrid options may offer more face-to-face research collaboration.

Look at Electives and Specializations

Programs vary in how much flexibility they offer beyond core courses. Reviewing elective options in areas such as natural language processing, computer vision, robotics, or data science can help ensure the curriculum aligns with your interests.

Financial Aid for Master’s in AI Programs

Paying for a master’s degree in artificial intelligence often involves a mix of funding sources rather than a single solution. Many graduate students rely on federal aid, employer support, and institutional options to manage costs over the duration of the program.

• Federal student aid: Regionally accredited universities typically allow graduate students to apply for federal student loans by completing the Free Application for Federal Student Aid (FAFSA). Eligibility and loan limits depend on enrollment status and prior borrowing.
• Employer tuition assistance: Many working professionals receive tuition reimbursement from employers, particularly in technology, healthcare, and data-driven industries.
• Institutional funding: Some universities offer scholarships, fellowships, or graduate certificates that can reduce overall costs or support specific areas of study.
• Flexible payment options: Online and professional programs often provide payment plans that allow students to spread tuition costs across multiple terms.

Career Outlook for AI Master’s Degree Holders

A master’s degree in artificial intelligence can open the door to advanced technical and analytical roles across a wide range of industries. Graduates often pursue careers involving AI system development, machine learning, data science, and applied analytics in sectors such as healthcare, finance, cybersecurity, and software engineering.

According to industry data from Payscale, professionals with a master’s in artificial intelligence earn an average salary of about $106,000 per year, though earnings vary based on role, experience, and industry. As organizations continue to invest in AI technologies, demand for professionals with advanced AI skills and graduate-level training is expected to remain strong.

FAQs About Master’s in Artificial Intelligence Programs

Earning a master’s degree in artificial intelligence raises important questions about preparation, outcomes, and program fit. The FAQs below address common concerns for students considering graduate-level AI study.

Do You Need a Computer Science Background for a Master’s in AI?

Many master’s in AI programs expect applicants to have some background in computer science, mathematics, or programming. However, several programs are designed to support career changers by offering prerequisite coursework or structured foundational classes. Reviewing admission requirements closely can help you determine whether additional preparation is needed.

How Long Does It Take to Complete a Master’s in Artificial Intelligence?

Most AI master’s programs take between one and two years to complete, depending on enrollment status and program format. Online and part-time options may extend the timeline but offer greater flexibility for working professionals. Accelerated formats may allow students to finish more quickly if they can manage a heavier course load.

Are Online Master’s in AI Programs as Respected as On-Campus Degrees?

Online AI master’s degrees from regionally accredited universities are generally respected by employers, particularly when they are taught by the same faculty and follow the same curriculum as on-campus programs. Many top universities now offer online programs that mirror their campus-based degrees. As with any credential, institutional reputation and program rigor matter most.

What Jobs Can You Get With a Master’s in AI?

Graduates with a master’s in artificial intelligence often pursue roles such as machine learning engineer, data scientist, AI engineer, or software engineer with an AI focus. Others move into applied roles involving AI systems, data analytics, or intelligent automation. Career outcomes vary based on prior experience and industry.

Is a Master’s in AI Worth It for Working Professionals?

For working professionals, a master’s in AI can be a valuable way to deepen technical skills and move into more advanced roles. Programs designed for flexibility allow students to balance coursework with professional responsibilities. The long-term value often comes from expanded career opportunities rather than immediate salary changes.

Explore Artificial Intelligence Master’s Degrees

Choosing the right master’s in artificial intelligence program requires balancing academic rigor, flexibility, and long-term goals. To explore AI master’s degrees, compare graduate programs, and learn more about online and on-campus options, continue your research through Learn.org.