Artificial intelligence is no longer a narrow research field. It now shapes software development, data science, cybersecurity, robotics, healthcare, finance, logistics, education, and product strategy.
A master’s in artificial intelligence is a graduate degree designed to help students build, evaluate, deploy, and govern AI systems.
The strongest AI master’s programs combine computer science theory, machine learning, deep learning, software engineering, data systems, responsible AI, and applied projects. Some programs are research-oriented and prepare students for PhD study or applied scientist roles.
Others are professional programs designed for working software engineers, data analysts, IT professionals, product managers, and technical leaders.
A master’s in AI is usually best for students who already have a technical foundation in programming, math, statistics, data science, computer science, engineering, or a related STEM field. Many programs are available online, and some are built specifically for working professionals.
A master’s in artificial intelligence can be worth it for students targeting technical AI roles such as AI engineer, machine learning engineer, data scientist, NLP engineer, computer vision engineer, robotics engineer, or AI researcher.
But the return on investment depends on tuition, prior experience, portfolio quality, employer support, location, and the type of job you want.
What Is a Master’s in Artificial Intelligence?
A master’s in artificial intelligence is a graduate degree focused on building intelligent software systems. Students study how machines learn from data, reason under uncertainty, process language, perceive images, interact with humans, and make decisions.
Depending on the program, the degree may be called:
- Master of Science in Artificial Intelligence
- MS in Artificial Intelligence
- Master of Artificial Intelligence
- Master of Engineering in Artificial Intelligence
- MS in Computer Science with an AI concentration
- MS in Machine Learning
- MS in Robotics or Autonomous Systems with an AI focus
- MS in AI for Business or Applied AI
A technical AI master’s usually includes machine learning, deep learning, algorithms, probability, statistics, optimization, software engineering, and AI ethics. More applied programs may also include cloud platforms, MLOps, data pipelines, product management, governance, or domain-specific AI applications.
This degree is best for students who want to move beyond using AI tools and learn how AI systems are designed, trained, tested, deployed, monitored, and governed.
Master’s in AI vs. Machine Learning vs. Data Science vs. Computer Science
Students often compare AI, machine learning, data science, and computer science master’s programs. The right choice depends on whether you want broad AI training, model-building depth, data-focused analytics, or flexible software engineering preparation.
| Degree | Best for | Main focus | Common careers |
| Master’s in Artificial Intelligence | Students who want broad AI training | AI systems, ML, deep learning, NLP, computer vision, robotics, responsible AI | AI engineer, ML engineer, NLP engineer, computer vision engineer |
| Master’s in Machine Learning | Students focused on model development | Statistical learning, optimization, algorithms, and model evaluation | ML engineer, applied scientist, research engineer |
| Master’s in Data Science | Students focused on data, analytics, and modeling | Statistics, data engineering, visualization, predictive analytics | Data scientist, analytics scientist, ML analyst |
| Master’s in Computer Science | Students who want broad technical flexibility | Algorithms, systems, software engineering, theory, and AI electives | Software engineer, AI engineer, systems engineer, research pathway |
Choose a master’s in AI if you want the broadest coverage of intelligent systems, including machine learning, deep learning, NLP, computer vision, robotics, and responsible AI.
Choose a master’s in machine learning if your goal is model development, optimization, evaluation, research engineering, or applied scientist roles.
Choose a data science master’s degree if you want to work with data pipelines, statistical modeling, experimentation, business analytics, and predictive modeling.
Choose a master’s in computer science if you want maximum flexibility across software engineering, systems, algorithms, cybersecurity, cloud computing, and AI electives.
Tuition rates
AI Master’s campus programs across various formats equip students with cutting-edge skills, based on these stats from:
- Total Programs: 29.
- Average Total Cost: $51,223.
- Lowest Per-Credit Rate: $418.
- Highest Per-Credit Rate: $2,229.
Best MS in Artificial Intelligence Programs for 2026
Saint Louis University
St. Louis, Missouri
Program: Master of Science in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $42,000
2026 Cost per credit: $1,400
Credits: 30
Learn more: Program detailsStevens Institute of Technology
Hoboken, New JerseyProgram: Master of Science in Applied Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Online & campus
Total tuition: $45,986
2026 Cost per credit: $1,532.86
Credits: 30
Learn more: Program detailsDrexel University
Philadelphia, PennsylvaniaProgram: Master's in Machine Learning and Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Online & campus
Total tuition: $66,645
2026 Cost per credit: $1,481
Credits: 45
Learn more: Program detailsCarnegie Mellon University
Pittsburgh, PennsylvaniaProgram: Master of Science in Artificial Intelligence and Innovation
ARTiBA accreditation: Yes
Delivery method: Campus
Total tuition: $31,500
2026 Cost per credit: $625
Credits: 48
Learn more: Program detailsIllinois Institute of Technology
Chicago, IllinoisProgram: Master of Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Online & campus
Total tuition: $55,530
2026 Cost per credit: $1,851
Credits: 30
Learn more: Program detailsKent State University
Kent, OhioProgram: Master of Science in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $18,379
2026 Cost per credit: $612.62
Credits: 30
Learn more: Program detailsLawrence Technological University
Southfield, MichiganProgram: M.S. in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $40,500
2026 Cost per credit: $1,350
Credits: 30
Learn more: Program detailsUniversity of Bridgeport
Bridgeport, ConnecticutProgram: Master’s in Artificial Intelligence (AI)
ARTiBA accreditation: No
Delivery method: Online & campus
Total tuition: $36,550
2026 Cost per credit: $1,075
Credits: 34
Learn more: Program detailsArizona State University
Tempe, ArizonaProgram: MS Robotics and Autonomous Systems (Artificial Intelligence)
ARTiBA accreditation: Yes
Delivery method: Campus
Total tuition: $37,230 in-state | $55,860 out-of-state
2026 Cost per credit: $1,241 in-state | $1,862 out-of-state
Credits: 30
Learn more: Program detailsRochester Institute of Technology
Rochester, New YorkProgram: Master's in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Online & campus
Total tuition: $77,220
2026 Cost per credit: $2,574
Credits: 30
Learn more: Program detailsUniversity of the Cumberlands
Williamsburg, KentuckyProgram: Executive Master's in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Hybrid
Total tuition: $17,019
2026 Cost per credit: $549
Credits: 31
Learn more: Program detailsDePaul University
Chicago, IllinoisProgram: MS in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Online & campus
Total tuition: $47,184
2026 Cost per credit: $983
Credits: 48
Learn more: Program detailsOakland University
Rochester, MichiganProgram: Master of Science in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $30,448 in-state | $34,504 out-of-state
2026 Cost per credit: $951.50 in-state | $1,078.25 out-of-state
Credits: 32
Learn more: Program detailsYeshiva University Katz School of Science and Health
New York, New YorkProgram: M.S. in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $50,400
2026 Cost per credit: $1,400
Credits: 36
Learn more: Program detailsLong Island University
Brooklyn, New YorkProgram: MS in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $42,210
2026 Cost per credit: $1,407
Credits: 30
Learn more: Program detailsSan Jose State University
San Jose, CaliforniaProgram: Master of Science in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $32,109
2026 Cost per credit: $973
Credits: 33
Learn more: Program detailsUniversity of Georgia
Athens, GeorgiaProgram: Master of Science in Artificial Intelligence (MSAI)
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $12,540 in-state | $38,610 out-of-state
2026 Cost per credit: $418 in-state | $1,287 out-of-state
Credits: 30
Learn more: Program detailsWayne State University
Detroit, MichiganProgram: Master of Science in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $24,981 in-state | $54,108.90
2026 Cost per credit: $832.7 in-state | $1,803.63 out-of-state
Credits: 30
Learn more: Program detailsNorthwestern University
Evanston, IllinoisProgram: Master of Science in Artificial Intelligence
ARTiBA accreditation: Yes
Delivery method: Campus
Total tuition: $110,000
2026 Cost per credit: $3,667
Credits: 30
Learn more: Program detailsIowa State University
Ames, IowaProgram: M.S. in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $28,672.50 in-state | $58,912.50
2026 Cost per credit: $955.75 in-state | $1,963.75 out-of-state
Credits: 30
Learn more: Program detailsUniversity of Houston-Downtown
Houston, TexasProgram: Master of Science in Artificial Intelligence program (MSAI)
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $13,237.50 in-state | $out-of-state
2026 Cost per credit: $441.25 in-state | $807.25 out-of-state
Credits: 30
Learn more: Program detailsUniversity of Michigan-Dearborn
Dearborn, MichiganProgram: Master of Science in Artificial Intelligence
ARTiBA accreditation: Yes
Delivery method: Campus
Total tuition: $28,800 in-state | $52,200 out-of-state
2026 Cost per credit: $960 in-state | $1,740 out-of-state
Credits: 30
Learn more: Program detailsBoston University
Boston, MassachusettsProgram: MS in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $69,870
2026 Cost per credit: $2,183
Credits: 32
Learn more: Program detailsDuke University
Durham, North CarolinaProgram: Master of Engineering in Artificial Intelligence for Product Innovation
ARTiBA accreditation: Yes
Delivery method: Online & campus
Total tuition: $78,913
2026 Cost per credit: $2,630.43
Credits: 30
Learn more: Program detailsNew Jersey Institute of Technology
Newark, New JerseyProgram: M.S. in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $49,110 in-state | $66,870 out-of-state
2026 Cost per credit: $1,637 in-state | $2,229 out-of-state
Credits: 30
Learn more: Program details
These rankings were compiled from data accessed in January 2026 from the Integrated Post-Secondary Education Data System (IPEDS) and College Navigator (both services of the National Center for Education Statistics). Tuition data was pulled from individual university websites and is current as of January 2026. If available, we also use additional criteria such as accreditation or designations by outside organizations or agencies.
2025 Rankings
2024 Rankings
Online vs. Campus Master’s in Artificial Intelligence Programs
Online AI master’s programs can be strong choices when they include rigorous coursework, applied projects, faculty access, career support, and portfolio-building opportunities. Campus programs may be better for students who want research labs, assistantships, in-person recruiting, or a thesis pathway.
| Format | Best for | Benefits | Watch-outs |
| Online master’s in AI | Working professionals and remote students | Flexibility, lower relocation costs, part-time options | Less in-person networking, fewer lab opportunities |
| Campus master’s in AI | Research-focused students and full-time learners | Labs, faculty access, assistantships, recruiting | Higher relocation and opportunity costs |
| Hybrid AI master’s | Students near campus who want flexibility | Mix of online convenience and in-person support | Scheduling and travel requirements |
Online programs are especially appealing for software developers, data analysts, IT professionals, engineers, and working adults who want to keep earning while studying. Campus programs may be a better fit for students seeking lab research, a thesis, internships through local employer networks, or a pathway to a PhD.
Related Resources
Common Master’s in Artificial Intelligence Curriculum
The best artificial intelligence graduate programs combine theory, applied projects, and production-ready skills.
A program that only teaches high-level AI concepts may not be enough for technical roles.
A program that only teaches tools may become outdated quickly.
Foundational AI and Computer Science
Common foundational courses include:
- Artificial intelligence
- Machine learning
- Algorithms
- Data structures
- Probability and statistics
- Linear algebra
- Calculus
- Optimization
- Databases
- Programming for AI, usually in Python
- Software engineering for AI systems
These courses help students understand how models work, why they fail, and how to build reliable systems.
Advanced AI and Machine Learning
Advanced AI master’s courses may include:
- Deep learning
- Reinforcement learning
- Natural language processing
- Computer vision
- Robotics
- Autonomous systems
- Knowledge representation
- Human-AI interaction
- Bayesian methods
- Graph learning
- Statistical learning theory
Students interested in applied science, AI researcher, robotics, NLP, or computer vision roles should look closely at the advanced course catalog.
Modern Applied AI
Because AI is changing quickly, strong 2026 programs should also address modern applied AI topics, including:
- Generative AI
- Large language models
- Retrieval-augmented generation
- Vector databases
- AI agents and agentic workflows
- Prompt engineering for technical systems
- AI evaluation and benchmarking
- Model safety and alignment basics
- Human feedback and model evaluation
- AI policy and governance
These topics are important because many AI jobs now involve integrating models into products rather than training foundation models from scratch.
Production AI
Technical AI roles increasingly require deployment skills. Look for coursework or projects in:
- MLOps
- Model deployment
- Cloud AI platforms
- APIs and software integration
- Data pipelines
- Model monitoring
- Responsible AI
- AI governance
- Privacy and security
- Experiment tracking
- Model versioning
- Data quality and drift detection
A strong capstone should produce a portfolio-ready project, such as a deployed ML application, an AI agent workflow, a computer vision system, an NLP pipeline, a robotics simulation, or a retrieval-augmented generation system, with evaluation metrics.
Admissions Requirements for a Master’s in AI
Admissions requirements vary by university, but most AI master’s programs expect applicants to show readiness in programming, math, and computer science.
Common requirements include:
- Bachelor’s degree from an accredited institution
- Preferred majors in computer science, data science, engineering, mathematics, statistics, information technology, or a related STEM field
- Programming experience, especially Python
- Math preparation in linear algebra, calculus, probability, and statistics
- Computer science preparation in algorithms, data structures, and databases
- Statement of purpose
- Resume or CV
- Letters of recommendation
- GRE scores if required, optional, or not waived
- Portfolio, GitHub, research, or professional projects
- TOEFL, IELTS, or other English proficiency requirements for international students
Johns Hopkins, for example, lists prior coursework expectations that include single and multivariable calculus, linear algebra, probability, and statistics for its AI master’s program.
Can You Get Into an AI Master’s Program Without a Computer Science Degree?
Yes, it may be possible to get into a master’s in AI without a computer science degree, but it depends on the school and the applicant’s technical readiness.
Applicants from engineering, math, physics, statistics, economics, information technology, or data analytics backgrounds may be competitive if they demonstrate programming and math skills. Applicants from nontechnical backgrounds usually need more preparation.
Good ways to strengthen an application include:
- Completing prerequisites in Python, algorithms, data structures, linear algebra, calculus, probability, and statistics
- Building GitHub projects with machine learning, NLP, computer vision, or data engineering
- Completing a bridge program or graduate certificate
- Earning relevant AI, ML, cloud, or data science certifications
- Showing professional experience with software, data, analytics, automation, or technical systems
Some applied AI programs are more accessible to non-CS applicants, while research-focused AI programs may expect stronger theoretical preparation.
How Much Does a Master’s in Artificial Intelligence Cost?
The cost of a master’s in artificial intelligence varies widely. Public universities may offer lower in-state tuition, while private universities and elite engineering schools may cost significantly more. Online programs may reduce relocation and commuting costs, but they still often charge technology fees, program fees, or per-credit tuition.
Common cost factors include:
- Public vs. private tuition
- In-state vs. out-of-state tuition
- Online tuition
- Per-credit pricing
- University fees
- Books and software
- Cloud computing costs
- Travel or residency costs
- Relocation costs for campus programs
- Opportunity cost if studying full time
- Employer tuition reimbursement
- Scholarships, assistantships, and fellowships
Purdue’s online MS in Artificial Intelligence, for example, lists 30 credits and a published per-credit tuition rate on its program page. Yeshiva’s MS in AI page publishes total tuition figures and states that the 36-credit program can be completed full time or part time.
Cost Checklist for Students
Before enrolling, calculate the full cost, not just tuition:
- Total tuition = credits × per-credit rate
- Mandatory fees
- Books and materials
- Software or hardware
- Cloud computing credits
- Residency or travel costs
- Lost income if attending full time
- Loan interest
- Employer reimbursement
- Scholarship or assistantship support
- Expected salary range for your target role
Do not assume the most expensive program has the best ROI. A lower-cost online program with strong projects, faculty access, and career support may be a better investment for working professionals.
Is a Master’s in Artificial Intelligence Worth It?
A master’s in artificial intelligence can be worth it for students targeting technical AI, machine learning, data science, research, robotics, NLP, computer vision, or AI software engineering roles.
It is especially valuable when the program is affordable, technically rigorous, aligned with your target job, and helps you produce portfolio-ready work.
It may be worth it if:
- You want to move from software engineering, analytics, IT, or engineering into AI/ML roles
- You need graduate-level training in machine learning, deep learning, NLP, or computer vision
- Your target employers prefer or require graduate education
- You want a structured path into applied research or a future PhD
- Your employer offers tuition reimbursement
- The program includes capstone, research, internship, or deployment projects
It may not be worth it if:
- You lack programming or math readiness
- The program is too expensive relative to your target salary
- The curriculum is outdated or too theoretical for your goals
- You only need AI literacy for a nontechnical role
- A graduate certificate, AI certification, bootcamp, or self-study path would meet your needs
- The school does not publish clear tuition, outcomes, or curriculum information
Avoid any program that suggests an AI degree guarantees a job. AI hiring is competitive. Employers usually evaluate candidates based on technical skill, experience, portfolio quality, communication, and ability to ship reliable systems.
AI Master’s Degree Jobs and Salary Outlook
AI careers do not always map neatly to one BLS occupation. “AI engineer,” “machine learning engineer,” “NLP engineer,” and “computer vision engineer” are common employer job titles, but the BLS often tracks them under broader categories such as software developer, data scientist, computer and information research scientist, computer systems analyst, or computer and information systems manager.
BLS data shows strong 2024–2034 growth for several AI-adjacent occupations. Computer and information research scientists had a 2024 median annual wage of $140,910 and projected 20% employment growth.
Data scientists had a 2024 median annual wage of $112,590 and projected 34% growth. Software developers had a 2024 median annual wage of $133,080, and the broader software developer, QA analyst, and tester category is projected to grow 15%.
| Career path | Relevant BLS or market-aligned role | 2024 median pay or current salary range | 2024–2034 outlook | Why does an AI master’s help |
| AI researcher | Computer and information research scientist | $140,910 | 20% growth | Software developer/data scientist |
| Machine learning engineer | Software developer / data scientist | $133,080 for software developers; $112,590 for data scientists | 15% for software developers, QA analysts, and testers; 34% for data scientists | Model development, deployment, MLOps, evaluation |
| Data scientist | Data scientist | $112,590 | 34% growth | Predictive modeling, ML, experimentation, statistics |
| AI software engineer | Software developer | $133,080 | 15% growth for the broader category | AI application development, APIs, software systems |
| Robotics engineer | O*NET Robotics Engineers / Engineers, all other wage data | $117,750 for Engineers, all other wage data | A role-specific outlook varies | Robotics, autonomy, perception, control systems |
| NLP engineer | Software developer/data scientist | Often mapped to software or data roles | Depends on role classification | NLP, LLMs, information retrieval, text evaluation |
| Computer vision engineer | Software developer/data scientist/robotics engineer | Depends on employer and role | Depends on role classification | Deep learning, image processing, perception systems |
| AI product manager | Computer and information systems manager/product role | $171,200 for computer and information systems managers | 15% growth | AI product strategy, technical communication, governance |
| AI consultant | Computer systems analyst/management or technology consultant | $103,790 for computer systems analysts | 9% growth | Translating AI capabilities into business and technical requirements |
BLS also reports that computer and information technology occupations overall had a 2024 median annual wage of $105,990 and are projected to grow much faster than average, with about 317,700 openings per year from 2024 to 2034.
How to Choose the Right Master’s in Artificial Intelligence Program
Use this checklist before applying:
- Does the curriculum match your target career?
- Does the program teach modern AI topics such as LLMs, generative AI, MLOps, NLP, computer vision, and responsible AI?
- Are there capstone, thesis, internship, or research options?
- Are courses taught by AI/ML faculty or practitioners?
- Is the program online, campus-based, hybrid, full-time, or part-time?
- Are GRE requirements clear?
- Does the program publish tuition and fee information?
- Does the school provide career support?
- Are graduates building real AI portfolios?
- Is the school regionally accredited?
- Are there assistantships, scholarships, or employer reimbursement options?
Program Features by Career Goal
| Career goal | Look for programs with |
| AI engineer | Machine learning, deep learning, MLOps, software engineering, cloud deployment |
| ML engineer | Statistical learning, optimization, model evaluation, deployment, data engineering |
| NLP engineer | NLP, LLMs, information retrieval, text mining, evaluation |
| Computer vision engineer | Computer vision, deep learning, robotics, image processing |
| AI researcher | Thesis option, research labs, theory, algorithms, publications |
| AI product manager | Applied AI, data strategy, responsible AI, product analytics, business electives |
The best program is not always the highest-ranked program. It is the one that fits your background, budget, schedule, and target role.
Frequently Asked Questions
A master’s in artificial intelligence can be worth it if you want a technical AI role and the program is affordable, rigorous, and aligned with your career goals. It is most valuable for students targeting AI engineering, machine learning engineering, data science, applied research, NLP, computer vision, robotics, or technical leadership.
ROI depends on tuition, debt, prior experience, location, employer demand, and whether the program helps you build strong portfolio projects. It may not be worth it if you only need basic AI literacy, lack programming or math readiness, or choose a program with outdated coursework.
Graduates can pursue roles such as AI engineer, machine learning engineer, data scientist, AI software engineer, NLP engineer, computer vision engineer, robotics engineer, applied scientist, research engineer, AI product manager, or AI consultant.
The exact role depends on your background. Software engineers may move into AI application development or MLOps. Data analysts may move into data science or machine learning. Research-focused students may pursue applied scientist roles or doctoral study. Employers usually look for evidence that you can build, evaluate, deploy, and explain AI systems.
Costs vary widely by school, format, and residency status. Public universities may offer lower in-state tuition, while private universities may charge higher rates. Online programs sometimes reduce relocation costs, but students should still budget for fees, books, software, cloud computing, and technology expenses.
Compare total program cost, not just per-credit tuition. Also consider scholarships, assistantships, employer tuition reimbursement, loan interest, and lost income if you study full time. Always verify tuition on the official program page before applying.
Most master’s in artificial intelligence programs take one to two years for full-time students and two to four years for part-time students. Accelerated programs may be completed in about 12 months, while flexible online programs may allow students to take longer.
The timeline depends on the number of credits, course load, academic calendar, capstone or thesis requirements, and whether prerequisite or bridge courses are required. Working professionals should look for part-time or asynchronous options that allow steady progress without sacrificing job performance.
Yes. Many universities now offer online master’s in AI programs or related online degrees in computer science, machine learning, data science, or applied AI. Online programs can be strong options for working professionals because they reduce relocation costs and offer scheduling flexibility.
The best online programs include rigorous technical coursework, faculty access, applied projects, career support, and opportunities to build a portfolio. Before enrolling, confirm whether courses are asynchronous, synchronous, or hybrid, and whether exams, residencies, or live sessions are required.
Not always, but most programs expect technical readiness. Applicants from engineering, math, statistics, physics, data science, information technology, or related STEM fields may qualify if they have programming and math preparation.
Students from nontechnical backgrounds may need prerequisites in Python, algorithms, data structures, databases, linear algebra, calculus, probability, and statistics. A strong portfolio can also help. If you do not have a CS degree, look for programs with bridge courses, foundation tracks, conditional admission, or applied AI pathways designed for career changers.
A master’s in AI is better if you want focused preparation in machine learning, deep learning, NLP, computer vision, robotics, generative AI, and responsible AI. A master’s in computer science is better if you want broader flexibility across software engineering, systems, theory, cybersecurity, databases, distributed systems, cloud computing, and AI electives.
Students who are certain they want AI roles may prefer the AI degree. Students who want maximum long-term flexibility may prefer computer science with an AI or machine learning specialization.
Artificial intelligence is the broader field focused on building systems that can perform tasks associated with human intelligence, such as reasoning, perception, language understanding, planning, and decision-making.
Machine learning is a major subfield of AI focused on systems that learn patterns from data. Deep learning is a subfield of machine learning based on neural networks. In graduate programs, AI may include machine learning, deep learning, robotics, NLP, computer vision, search, reasoning, optimization, ethics, and human-AI interaction.
Some AI master’s programs require the GRE, some make it optional, and others waive it entirely. GRE policies can change by term, applicant background, and program format. Professional online programs are often more flexible, while research-oriented programs may be more likely to consider quantitative test scores.
Applicants should check the official admissions page for each program. Even when the GRE is optional, strong grades in technical courses, professional experience, recommendation letters, and portfolio projects can help demonstrate readiness.
Strong AI portfolio projects show that you can move from problem definition to deployment and evaluation.
Examples include a retrieval-augmented generation application with citations and evaluation metrics, an NLP classifier, a computer vision detection model, a recommendation system, a time-series forecasting project, an AI agent workflow, a robotics simulation, or an MLOps pipeline with monitoring.
The best projects include clean code, documentation, model evaluation, ethical considerations, and a deployed demo or reproducible GitHub repository.
An AI graduate certificate may be better if you want a shorter, lower-cost credential or need targeted upskilling in machine learning, generative AI, analytics, or AI strategy.
A master’s degree is usually better for deeper technical preparation, career switching, research pathways, and roles where employers prefer graduate education.
Some certificates can stack into a master’s degree, which can reduce risk. Students unsure about committing to a full degree may start with a certificate and continue if the coursework supports their goals.
The best degree for becoming an AI engineer is usually a master’s in artificial intelligence, computer science, machine learning, data science, software engineering, or a related engineering field with strong AI coursework.
The degree should include machine learning, deep learning, algorithms, data structures, software engineering, MLOps, cloud deployment, databases, model evaluation, and responsible AI. Employers also value projects. A strong GitHub portfolio with deployed AI applications can matter as much as the degree title.
Artificial Intelligence Master’s School Listings
Arizona State University
Tempe, ArizonaProgram: MS Robotics and Autonomous Systems (Artificial Intelligence)
ARTiBA accreditation: Yes
Delivery method: Campus
Total tuition: $37,230 in-state | $55,860 out-of-state
2026 Cost per credit: $1,241 in-state | $1,862 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program detailsBoston University
Boston, MassachusettsProgram: MS in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $69,870
2026 Cost per credit: $2,183
Credits: 32
GRE requirement: Not required
Learn more: Program detailsCarnegie Mellon University
Pittsburgh, PennsylvaniaProgram: Master of Science in Artificial Intelligence and Innovation
ARTiBA accreditation: Yes
Delivery method: Campus
Total tuition: $31,500
2026 Cost per credit: $625
Credits: 48
GRE requirement: Required
Learn more: Program detailsDePaul University
Chicago, IllinoisProgram: MS in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Online & campus
Total tuition: $47,184
2026 Cost per credit: $983
Credits: 48
GRE requirement: Not required
Learn more: Program detailsDrexel University
Philadelphia, PennsylvaniaProgram: Master's in Machine Learning and Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Online & campus
Total tuition: $66,645
2026 Cost per credit: $1,481
Credits: 45
GRE requirement: Recommended for international students and for domestic students with a GPA below 3.0
Learn more: Program detailsDuke University
Durham, North CarolinaProgram: Master of Engineering in Artificial Intelligence for Product Innovation
ARTiBA accreditation: Yes
Delivery method: Online & campus
Total tuition: $78,913
2026 Cost per credit: $2,630.43
Credits: 30
GRE requirement: Not required
Learn more: Program detailsIllinois Institute of Technology
Chicago, IllinoisProgram: Master of Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Online & campus
Total tuition: $55,530
2026 Cost per credit: $1,851
Credits: 30
GRE requirement: Not required
Learn more: Program detailsIowa State University
Ames, IowaProgram: M.S. in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $28,672.50 in-state | $58,912.50
2026 Cost per credit: $955.75 in-state | $1,963.75 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program detailsKent State University
Kent, OhioProgram: Master of Science in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $18,379
2026 Cost per credit: $612.62
Credits: 30
GRE requirement: Required
Learn more: Program detailsLawrence Technological University
Southfield, MichiganProgram: M.S. in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $40,500
2026 Cost per credit: $1,350
Credits: 30
GRE requirement: Not required
Learn more: Program detailsLong Island University
Brooklyn, New YorkProgram: MS in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $42,210
2026 Cost per credit: $1,407
Credits: 30
GRE requirement: Not required
Learn more: Program detailsNew Jersey Institute of Technology
Newark, New JerseyProgram: M.S. in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $49,110 in-state | $66,870 out-of-state
2026 Cost per credit: $1,637 in-state | $2,229 out-of-state
Credits: 30
GRE requirement: Required for international students
Learn more: Program detailsNortheastern University
Boston, MassachusettsProgram: MS in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $60,000
2026 Cost per credit: $1,875
Credits: 32
GRE requirement: Not required
Learn more: Program detailsNorthwestern University
Evanston, IllinoisProgram: Master of Science in Artificial Intelligence
ARTiBA accreditation: Yes
Delivery method: Campus
Total tuition: $110,000
2026 Cost per credit: $3,667
Credits: 30
GRE requirement: Optional
Learn more: Program detailsOakland University
Rochester, MichiganProgram: Master of Science in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $30,448 in-state | $34,504 out-of-state
2026 Cost per credit: $951.50 in-state | $1,078.25 out-of-state
Credits: 32
GRE requirement: Required
Learn more: Program detailsRochester Institute of Technology
Rochester, New YorkProgram: Master's in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Online & campus
Total tuition: $77,220
2026 Cost per credit: $2,574
Credits: 30
GRE requirement: Required for individuals with degrees from international universities
Learn more: Program detailsSaint Louis University
St. Louis, MissouriProgram: Master of Science in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $42,000
2026 Cost per credit: $1,400
Credits: 30
GRE requirement: Required
Learn more: Program detailsSan Jose State University
San Jose, CaliforniaProgram: Master of Science in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $32,109
2026 Cost per credit: $973
Credits: 33
GRE requirement: Not required
Learn more: Program detailsStevens Institute of Technology
Hoboken, New JerseyProgram: Master of Science in Applied Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Online & campus
Total tuition: $45,986
2026 Cost per credit: $1,532.86
Credits: 30
GRE requirement: Required
Learn more: Program detailsUniversity of Bridgeport
Bridgeport, ConnecticutProgram: Master’s in Artificial Intelligence (AI)
ARTiBA accreditation: No
Delivery method: Online & campus
Total tuition: $36,550
2026 Cost per credit: $1,075
Credits: 34
GRE requirement: Not required
Learn more: Program detailsUniversity of California-Los Angeles
Los Angeles, CaliforniaProgram: Master of Engineering in Artificial Intelligence
ARTiBA accreditation: Yes
Delivery method: Campus
Total tuition: $57,780 in-state | $72,882 out-of-state
2026 Cost per credit: $1,605 in-state | $2,024.50 out-of-state
Credits: 36
GRE requirement: Not required
Learn more: Program detailsUniversity of Georgia
Athens, GeorgiaProgram: Master of Science in Artificial Intelligence (MSAI)
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $12,540 in-state | $38,610 out-of-state
2026 Cost per credit: $418 in-state | $1,287 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program detailsUniversity of Houston-Downtown
Houston, TexasProgram: Master of Science in Artificial Intelligence program (MSAI)
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $13,237.50 in-state | $24,217.50 out-of-state
2026 Cost per credit: $441.25 in-state | $807.25 out-of-state
Credits: 30
GRE requirement: Required
Learn more: Program detailsUniversity of Michigan-Dearborn
Dearborn, MichiganProgram: Master of Science in Artificial Intelligence
ARTiBA accreditation: Yes
Delivery method: Campus
Total tuition: $28,800 in-state | $52,200 out-of-state
2026 Cost per credit: $960 in-state | $1,740 out-of-state
Credits: 30
GRE requirement: Optional
Learn more: Program detailsUniversity of North Texas
Denton, TexasProgram: Master of Science in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Online & campus
Total tuition: $29,224.14 in-state | $42,599.04
2026 Cost per credit: $885.88 in-state | $1,290.88 out-of-state
Credits: 33
GRE requirement: Required
Learn more: Program detailsUniversity of Texas at San Antonio
San Antonio, TexasProgram: Master's Degree in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $15,338 in-state | $45,718 out-of-state
2026 Cost per credit: $511.27 in-state | $1,523.92 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program detailsUniversity of the Cumberlands
Williamsburg, KentuckyProgram: Executive Master's in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Hybrid
Total tuition: $17,019
2026 Cost per credit: $549
Credits: 31
GRE requirement: Not required
Learn more: Program detailsWayne State University
Detroit, MichiganProgram: Master of Science in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $24,981 in-state | $54,108.90
2026 Cost per credit: $832.7 in-state | $1,803.63 out-of-state
Credits: 30
GRE requirement: Not required
Learn more: Program detailsYeshiva University Katz School of Science and Health
New York, New YorkProgram: M.S. in Artificial Intelligence
ARTiBA accreditation: No
Delivery method: Campus
Total tuition: $50,400
2026 Cost per credit: $1,400
Credits: 36
GRE requirement: Not required
Learn more: Program details
Expert Advice
Find the latest interviews with subject matter experts and people working at the forefront of their field and get advice on Master’s of Artificial Intelligence directly from some of the world’s leading authorities. Learn more about all the different pathways and opportunities available in tech today.
- How did you first get into artificial intelligence (what kind of degree or work experience led you to the field?)
- Why get a master’s in artificial intelligence, and why now?
- What’s the best way to prepare for an artificial intelligence master’s program? What kinds of skills or experience should students have?
- What else will students learn?
- What types of jobs are artificial intelligence graduates finding? Is there a favorite company or organization amongst students?
- If you had to choose one or two books, articles, documentaries, podcasts, etc. to be included on a required reading list for artificial intelligence students, what would it be?