Best Online Masters in Machine Learning Degrees

Online master’s degrees in machine learning have revolutionized access to advanced AI education, offering unprecedented flexibility and accessibility. These programs provide several key advantages:

Flexibility & Career Continuity

  • Work full-time while studying without career interruption
  • Asynchronous learning accommodates different time zones and schedules
  • No relocation required, eliminating housing and moving costs
  • Balance family and professional responsibilities with academic pursuits

Financial Benefits

  • Lower total costs with eliminated housing, commuting, and campus fees
  • Many programs now eliminate GRE requirements, reducing admission barriers
  • Employer tuition reimbursement partnerships increasingly common
  • Ability to maintain current income while advancing education

Academic Quality & Outcomes

  • Same rigorous curriculum and faculty expertise as campus programs
  • Live virtual sessions combined with hands-on projects and real datasets
  • Strong industry connections maintained through digital collaboration tools
  • Graduation outcomes and job placement rates matching traditional programs

The accessibility revolution extends beyond logistics to democratize advanced AI education for career changers, mid-career professionals, and working parents who previously couldn’t access elite machine learning programs. With the AI job market projected to add 97 million positions globally, these online programs provide a practical pathway into high-demand roles in deep learning, natural language processing, and computer vision without the traditional constraints of campus-based education.

2026 Top 10 Online Masters Degrees for Machine Learning

Welcome to mastersinmachinelearning.org, where we present our rankings of the top 10 online master's degrees for machine learning. Online programs are essential for making advanced education accessible, allowing students to pursue their goals through distance learning and virtual classrooms. These programs offer flexibility and quality, helping you gain skills without relocating. For details on how we compile our list, check out our https://www.mastersinmachinelearning.org/about-us/#methodology.
#1

Drexel University

Philadelphia, PA - Private 4-year - drexel.edu

Master's - Master of Science in Artificial Intelligence & Machine Learning

Concentration: Data Science and Analytics, Theory of Computation and Algorithms, Applications of AI/ML - Online Learning - Visit Website

Drexel University's online Master of Science in Artificial Intelligence & Machine Learning is a 45-quarter credit program with concentrations in Data Science and Analytics, Theory of Computation and Algorithms, and Applications of AI/ML. It requires a bachelor's degree, a 3.0 GPA, and GRE scores are recommended but not mandatory. The curriculum uses real datasets and tools, includes a capstone project, and focuses on ethical and legal aspects of AI. Tuition is $1438 per credit, with financial aid and discounts available. This flexible online program prepares graduates for careers in AI and machine learning.

  • 45-quarter credit program.
  • Concentrations in Data Science, Algorithms, AI/ML.
  • Online format for flexibility.
  • $1438 per credit tuition.
  • Financial aid available.
  • Requires strong computer science background.
  • Capstone project included.
  • Full- or part-time options.
  • 10-week quarter terms.
  • Interdisciplinary curriculum.
#2

Johns Hopkins University

Baltimore, MD - Private 4-year - jhu.edu

Master's - Master of Science in Artificial Intelligence

Online Learning - Visit Website

Johns Hopkins University offers an online Master of Science in Artificial Intelligence, ideal for professionals seeking to excel in AI. This program emphasizes machine learning, natural language processing, and robotics, blending theoretical foundations with hands-on applications. Developed by leading researchers, it fosters innovation in AI technologies and allows for flexible, tailored study options. Admission requires a bachelor's degree, with no entrance exam specified, and applications are accepted year-round. Many students benefit from employer tuition contributions, enhancing accessibility for working adults.

  • Online program format
  • Covers AI, machine learning
  • Flexible course options
  • Year-round applications
  • Employer tuition contributions
  • Bachelor's degree required
  • Practical and theoretical focus
  • Top researchers as instructors
  • Innovation in AI technologies
  • Tailored study options
#3

Columbia University in the City of New York

New York, NY - Private 4-year - columbia.edu

Master's - Computer Science - Machine Learning, MS Online

Concentration: Machine Learning - Online Learning - Visit Website

Columbia University's online MS in Computer Science with a Machine Learning concentration delivers advanced education in AI, algorithms, and statistical modeling, tailored for professionals aiming to excel in tech sectors. This program emphasizes practical applications in finance and bioinformatics, offering flexible online study for working adults. Admission requires a bachelor's degree in a related field, GRE scores, and programming proficiency, with no entrance exam waivers mentioned. It blends theoretical foundations with hands-on projects to prepare graduates for high-demand machine learning roles.

  • Online MS program.
  • Focus on Machine Learning.
  • Flexible for professionals.
  • Covers AI and data.
  • GRE scores required.
  • Programming proficiency needed.
  • Blends theory and practice.
  • Prepares for tech roles.
#4

Duke University

Durham, NC - Private 4-year - duke.edu

Master's - Master of Engineering in Artificial Intelligence for Product Innovation

Concentration: Machine Learning - Online Learning - Visit Website

Duke University's online Master of Engineering in Artificial Intelligence for Product Innovation, with a concentration in Machine Learning, prepares students for leadership roles by integrating technical AI skills with product innovation. The program offers flexible 12, 16, or 24-month options, includes hands-on projects and industry collaborations, and requires a background in engineering, science, or technology. Admission does not explicitly require an entrance exam, but applicants should check Duke's website for specific requirements.

  • Concentration in Machine Learning.
  • Flexible 12, 16, 24-month options.
  • Hands-on real-world projects.
  • Industry collaborations included.
  • Background in STEM required.
#5

The University of Tennessee-Knoxville

Knoxville, TN - Public 4-Year - utk.edu

Master's - Master of Science in Computer Science

Concentration: Data Mining and Intelligent Systems, Cybersecurity, Software Engineering - Online Learning - Visit Website

The University of Tennessee-Knoxville's online Master of Science in Computer Science offers concentrations in Data Mining and Intelligent Systems, Cybersecurity, and Software Engineering. This program is designed for STEM professionals, featuring a curriculum with deep learning, network security, and software engineering courses. It can be completed in as few as 18 months with 100% online coursework, flexible scheduling, and no GRE requirement. Tuition is approximately $25,830 for in-state students, with admissions open for fall, spring, and summer starts, making it ideal for working adults seeking career advancement.

  • 100% Online
  • No GRE Required
  • Three Concentration Options
  • 18-24 Months to Complete
  • $25,830 In-State Tuition
  • 10 Courses Total
  • Flexible Scheduling
  • Live Online Classes
  • Asynchronous Coursework
  • Cybersecurity Concentration
#6

The University of Texas at Austin

Austin, TX - Public 4-Year - utexas.edu

Master's - Master's in Artificial Intelligence

Concentration: Machine Learning, Natural Language Processing, Computer Vision - Online Learning - Visit Website

The University of Texas at Austin offers an online Master's in Artificial Intelligence, concentrating on Machine Learning, Natural Language Processing, and Computer Vision. This 100% online program provides flexibility with asynchronous courses, covering topics like deep learning and ethics in AI. With a tuition of approximately $10,000, it's an affordable option that requires a bachelor's degree for admission; no entrance exam is mentioned as required. The program prepares students for the growing AI job market and features world-class faculty.

  • 100% online program.
  • Focus on Machine Learning.
  • Covers Natural Language Processing.
  • Includes Computer Vision.
  • Affordable $10,000 tuition.
  • Flexible asynchronous courses.
  • World-class faculty.
  • 30-hour program.
  • 10 courses to graduate.
  • Ethics in AI required.
#7

DePaul University

Chicago, IL - Private 4-year - depaul.edu

Master's - Artificial Intelligence (MS)

Online Learning - Visit Website

DePaul University offers an online Master of Science in Artificial Intelligence, focusing on machine learning, natural language processing, robotics, and cognitive science. This 48-72 credit hour program requires a capstone project and electives, preparing graduates for roles as AI/ML engineers or research scientists. Admission necessitates a bachelor's degree, with programming and data structures prerequisites for non-computer science backgrounds. An entrance exam is not explicitly mentioned as required. The online format provides flexibility for working professionals, making it accessible and practical.

  • 48-72 credit hours
  • Online program available
  • Focus on machine learning
  • Includes natural language processing
  • Covers robotics and cognitive science
  • Capstone project required
  • Electives in AI topics
  • Prepares for AI/ML careers
  • Flexible for working professionals
  • Admission requires bachelor's degree
#8

University of Central Florida

Orlando, FL - Public 4-Year - ucf.edu

Master's - Data Analytics (MS) - Artificial Intelligence Track

Concentration: Artificial Intelligence - Online & Campus Based - Visit Website

The University of Central Florida's online Master of Science in Data Analytics with an Artificial Intelligence concentration is a 30-credit hybrid program blending online and face-to-face learning. It emphasizes AI algorithm design, advanced programming, and data interpretation, preparing graduates for roles like AI Analyst or Machine Learning Engineer. This program does not require a thesis but includes a semester-long project and covers topics such as machine learning and digital ethics. No entrance exam is specified as required. With a total cost of $36,300, it targets professionals with a STEM background and supports advancement to Ph.D. studies, addressing the high demand for AI skills in various industries.

  • 30 credit hour program
  • Hybrid learning format
  • Focus on AI and data analytics
  • No thesis required
  • Semester-long project included
  • Prepares for AI Analyst roles
  • Opportunity for Ph.D. advancement
  • $36,300 total cost
  • Requires STEM background
  • Intensive 5-semester schedule
#9

George Washington University

Washington, DC - Private 4-year - gwu.edu

Master's - Master of Engineering in Artificial Intelligence and Machine Learning

Online Learning - Visit Website

George Washington University's online Master of Engineering in Artificial Intelligence and Machine Learning offers a comprehensive curriculum covering neural networks, natural language processing, and computer vision, with a strong emphasis on ethical AI applications. This 30-credit program, priced at $1,200 per credit, requires a bachelor's degree in a relevant field, a minimum 3.0 GPA, and proficiency in calculus and statistics. GRE scores are optional for admission. Designed for flexibility with synchronous and asynchronous options, it includes a capstone project and prepares graduates for careers in technology and healthcare sectors.

  • 30 credit hours required.
  • Tuition $1,200 per credit.
  • Online learning flexibility.
  • Focus on ethical AI use.
  • Covers neural networks, NLP.
  • Prepares for tech, healthcare careers.
  • Requires bachelor's in related field.
  • Minimum 3.0 GPA needed.
  • Proficiency in calculus required.
  • Statistics knowledge necessary.
#10

Boston College

Chestnut Hill, MA - Private 4-year - bc.edu

Master's - Master of Science (M.S.) in Applied Analytics

Concentration: Machine Learning, Artificial Intelligence, Data Analysis - Online & Campus Based - Visit Website

Boston College's online Master of Science in Applied Analytics with a concentration in Machine Learning, Artificial Intelligence, and Data Analysis is a STEM-designated hybrid program that combines theoretical knowledge with hands-on applications. It emphasizes ethical AI, real-world projects, and industry mentorship, preparing graduates for high-demand roles. Admission requires a bachelor's degree with a 3.0 GPA and prerequisites in Statistics and Calculus; no entrance exam is specified as required. The program offers flexible full or part-time study at $1,432 per credit, totaling approximately $42,960, and includes career support and small class sizes for personalized learning.

  • STEM-designated program
  • Focus on ML, AI, Data Analysis
  • Hybrid learning format
  • $1,432 per credit tuition
  • 3.0 GPA requirement
  • Statistics and Calculus prerequisites
  • Flexible full or part-time study
  • Real-world project experience
  • Ethical AI and governance focus
  • Strong faculty industry ties
*Source: NCES, IPEDS 2023 data collection. https://nces.ed.gov/ipeds/

2026 Most Affordable Masters in Machine Learning Programs

Looking for an affordable master's in machine learning? We've gathered programs to help you start in 2026. Online options are key for flexibility, letting you study from anywhere. This makes distance learning a great choice for busy lives. Explore these opportunities to advance your career without breaking the bank.
University of Central Florida
  • 30 credit hour program
  • Hybrid learning format
  • Focus on AI and data analytics
  • No thesis required
  • Semester-long project included
  • Prepares for AI Analyst roles
  • Opportunity for Ph.D. advancement
  • $36,300 total cost
  • $7,100 - $10,600 (Graduate In-State)
  • $22,900 - $34,400 (Graduate Non-Resident)
University of Central Missouri
  • HLC-accredited program.
  • Flexible hybrid learning options.
  • 95% employment rate post-graduation.
  • Focus on machine learning, data visualization.
  • Access to state-of-the-art labs.
  • Opportunities for research and hackathons.
  • Strategic location near tech companies.
  • Competitive tuition rates.
  • $8,000 - $11,900 (Graduate In-State)
  • $14,800 - $22,200 (Graduate Non-Resident)
Georgia Southern University
  • Specialization in Machine Learning.
  • 30 credit hours.
  • Online, hybrid, or in-person.
  • In-state tuition $277/credit.
  • Internationally recognized faculty.
  • Provisional admittance available.
  • Flexible delivery options.
  • Accelerated Bachelor’s to Master’s.
  • $5,200 - $7,800 (Graduate In-State)
  • $17,100 - $25,700 (Graduate Non-Resident)
*U.S. Department of Education, IPEDS 2023, National Center for Education Statistics.

Which of These Programs is Best for You?

Program Overview Comparison

The online machine learning education landscape presents ten distinct pathways, ranging from prestigious Ivy League programs to affordable public university options. These programs serve diverse student populations from working professionals seeking career advancement to recent graduates pursuing specialized AI expertise:

Premium Research Universities: Johns Hopkins, Columbia, and Duke offer prestigious credentials with world-class faculty and comprehensive AI curricula delivered through flexible online formats.

Value-Oriented Public Programs: University of Texas at Austin, University of Central Florida, Tennessee-Knoxville, University of Oklahoma, and University of Rhode Island provide quality education at accessible price points.

Specialized Technical Focus: Drexel emphasizes interdisciplinary approaches with hands-on datasets, while DePaul offers extensive credit flexibility ranging from 48-72 hours.

Hybrid Learning Models: Several programs combine online convenience with optional campus components, accommodating diverse learning preferences and professional schedules.

Cost Analysis

Most Affordable Options

  • University of Texas at Austin: $10,000 total program cost – Exceptional value for comprehensive AI education
  • University of Central Florida: $7,100-$10,600 (in-state), $22,900-$34,400 (out-of-state)
  • University of Tennessee-Knoxville: $25,830 in-state total cost for complete program
  • University of Rhode Island: $887 per credit hour with flexible completion options

Mid-Range Programs

  • University of Oklahoma: Approximately $29,271 total (33 credits × $887 average per credit)
  • University of Central Florida: $36,300 total program cost across all residency types

Premium Tier

  • Drexel University: $64,710 total (45 credits × $1,438 per credit)
  • Johns Hopkins, Columbia, Duke: Premium pricing typically $40,000-$70,000+ for complete programs

Program Duration and Format Comparison

Accelerated Options

Duke University offers the most flexibility with 12, 16, or 24-month completion options, ideal for professionals with varying time commitments.

Standard Timeline

Most programs require 18-24 months with University of Oklahoma at 21 months, Tennessee-Knoxville at 18-24 months, and University of Central Florida completing in 5 intensive semesters.

Extended Flexibility

DePaul University accommodates diverse backgrounds with 48-72 credit hour options, allowing students to customize program depth based on prior experience.

Curriculum Specialization Analysis

Comprehensive AI Coverage

Johns Hopkins and DePaul provide broadest curricula spanning machine learning, natural language processing, robotics, computer vision, and cognitive science.

Specialized Concentrations

University of Texas at Austin focuses specifically on Machine Learning, Natural Language Processing, and Computer Vision, while University of Central Florida emphasizes AI and data analytics integration.

Applied Engineering Focus

Drexel University uniquely emphasizes hands-on learning with real datasets and interdisciplinary approaches, bridging theoretical knowledge with practical applications.

Multiple Pathway Options

Tennessee-Knoxville and University of Rhode Island offer multiple concentrations including cybersecurity, data visualization, and artificial intelligence applications.

Unique Program Features

No Standardized Test Requirements

University of Texas at Austin, Tennessee-Knoxville, University of Oklahoma, and University of Rhode Island eliminate GRE requirements, improving accessibility.

Industry Integration

Duke University emphasizes product innovation with industry collaborations, while University of Central Florida provides direct pathways to PhD programs.

Flexible Credit Systems

DePaul University offers the most flexible credit structure (48-72 hours), accommodating students with varying technical backgrounds and career goals.

Employer Support Programs

Johns Hopkins specifically mentions employer tuition contribution opportunities, recognizing the professional development nature of their program.

Selection Framework: Choosing Your Best Fit

For Maximum Value and Quality

Choose University of Texas at Austin if you want:

  • Exceptional $10,000 total program cost
  • World-class faculty instruction
  • Comprehensive AI curriculum coverage
  • Flexible asynchronous learning format
  • Strong focus on ethics in AI development

For Hybrid Learning Flexibility

Choose University of Central Florida if you prioritize:

  • Combination of online and face-to-face instruction
  • Project-based learning over thesis requirements
  • Direct PhD program pathway preparation
  • Established reputation in data analytics and AI
  • Reasonable total cost at $36,300

For Professional Accessibility

Choose University of Tennessee-Knoxville if you need:

  • No GRE requirement barriers
  • Multiple concentration options
  • Live online classes with asynchronous components
  • Affordable in-state tuition rates
  • Strong cybersecurity integration options

For Prestigious Credentials

Choose Johns Hopkins University or Columbia University if you want:

  • Ivy League or equivalent institutional prestige
  • Access to renowned research faculty
  • Comprehensive theoretical foundations
  • Premium networking opportunities
  • Employer tuition support recognition

For Technical Depth and Hands-On Learning

Choose Drexel University if you value:

  • Interdisciplinary curriculum approach
  • Real dataset manipulation experience
  • Multiple concentration specializations
  • Established online learning infrastructure
  • Comprehensive 45-credit technical coverage

Decision Matrix by Priority

Choose UT Austin if: You want maximum value ($10,000) with comprehensive curriculum and world-class instruction.

Choose UCF if: You prefer hybrid learning with project focus and PhD pathway options at moderate cost.

Choose Tennessee-Knoxville if: You need accessible admission requirements with flexible scheduling and affordable pricing.

Choose Johns Hopkins if: You can invest in prestigious credentials with employer support and renowned faculty.

Choose Drexel if: You want extensive technical depth with hands-on learning despite higher investment.

Critical Considerations

Cost vs. Prestige Analysis

University of Texas at Austin provides exceptional value at $10,000 versus premium programs costing $50,000-$70,000+, while maintaining comparable curriculum quality and faculty expertise.

Learning Format Preferences

Fully online programs maximize convenience for working professionals, while hybrid options provide networking and collaborative learning opportunities.

Career Trajectory Alignment

Programs range from practical industry application focus to research preparation, with some offering specific pathways to doctoral studies or industry leadership roles.

Admission Accessibility

Programs eliminating GRE requirements significantly improve accessibility for career changers and working professionals, while maintaining academic rigor through alternative assessment methods.

The optimal choice depends on budget constraints, career goals, time availability, and learning preferences. University of Texas at Austin stands out for exceptional value, while University of Central Florida offers balanced hybrid learning. Tennessee-Knoxville provides maximum accessibility, and prestigious institutions deliver premium credentials for those able to invest in higher-cost options. Working professionals benefit most from programs offering flexible scheduling and employer support recognition.