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What is an Online Master’s in Machine Learning?
An online master’s degree in machine learning (ML) is a virtual program that’s aimed at professionals who wish to specialize in the field of ML, rather than the broader realm of AI. It will often include training in foundational ML concepts such as supervised & unsupervised learning, deep learning, and reinforcement learning, as well as electives in sub-specialties such as machine learning & data science, applied machine learning, and more.
Use our 2026 rankings of the 15 Best Online Master’s in Machine Learning Programs in the USA to start exploring your options! Here you’ll find machine learning programs for computing professionals, data scientists, hard-core engineers, and business analysts. There are advanced technical online degrees in ML from big-name universities like Georgia Tech, Columbia, and NYU. But are also foundational programs in machine learning for career changers with little or no programming experience.
Want even more options? View all online master’s in machine learning programs available nationwide.
Key Findings for 2026
- Georgia Tech continues to offer the #1 online graduate program in machine learning in the USA. In fact, most of the top 10 schools in our 2025 rankings held onto their place in our 2026 rankings.
- Keep an eye on machine learning research & projects in Massachusetts universities. ML programs at Boston University, Worcester Polytechnic Institute (WPI), and Northeastern are new to our rankings for 2026!
- Aspiring data scientists will be pleased to hear that two of the schools in our rankings—Rice and WPI—now offer online master’s in data science with a machine learning focus.
2026 Best Online Master’s in Machine Learning Programs
1 Georgia Institute of Technology – Atlanta, GA
Online Master of Science in Computer Science (OMSCS) – Machine Learning
Georgia Tech’s low-cost Online Master of Science in Computer Science (OMSCS) features a dedicated Machine Learning specialization. Better yet, it’s the most affordable online master’s degree in machine learning in the USA, with a total price tag of under $9,000 in 2026. Most OMSCS students take 2-4 years to complete the program.
The 30-credit curriculum is split into two halves. For the ML specialization, you’ll tackle 6 credits of core courses in two subjects: algorithms and machine learning. But after that, you’re at liberty to select 9 credits of electives in ML topics, including deep learning, machine learning for trading, Bayesian methods, and NLP. (Online courses are highlighted in bold). The remaining half of the degree can be completed with computer science electives, including some intriguing options in cybersecurity.
Note: Compare the ML pathway with the Artificial Intelligence specialization.
Program Highlights
- Strong Pick For: Affordability; Career Networking; Customizing Coursework
- Format: 100% Online
- Credits: 30
- Program Length: 2-4 Years
- Final Project: Coursework-Only, Thesis or Capstone
What Makes Georgia Tech a Great Machine Learning School?
Thanks to its unique mix of technical coursework and career-building elements, Georgia Tech’s affordable OMSCS is one of the most popular virtual degrees in AI & ML. The program has racked up 10,000+ alumni in the first 10 years, but online students still earn the same reputable degree as their on-campus counterparts. Better still, the university has created a host of networking opportunities for OMSCS distance learners.
For ML specialists, we recommend a visit to the School of Interactive Computing’s section on Artificial Intelligence & Machine Learning—links to faculty with ML interests are listed below the summary—and the school’s interdisciplinary Machine Learning Center (ML@GT). Over at the School of Computational Science and Engineering, you’ll find similar faculty bios in its precis of AI & ML engineering research. Browse the section on OMSCS Program News to learn more about alumni spotlights and current research work.
Learn More About ML at Georgia Tech
2 University of Washington-Seattle – Seattle, WA
Online Master of Science in Artificial Intelligence and Machine Learning (MS in AIML) for Engineering
To make graduate education as practical as possible, the Paul G. Allen School of Computer Science & Engineering has created a series of Professional Master’s Programs (PMPs). The 100% Online Master of Science in Artificial Intelligence and Machine Learning (MS in AIML) for Engineering is available in a part-time or full-time plan of study and based on a unique “stackable” model.
You’ll start by completing a Graduate Certificate in Artificial Intelligence (AI) and Machine Learning (ML) for Engineering. This will be complemented by another graduate certificate in an engineering-related discipline such as data analytics for systems operations, data-driven dynamic systems, or data science for materials engineering. The icing on the cake is a two-quarter applied capstone project. If you’re an engineer involved in hands-on work, this one’s for you!
Program Highlights
- Strong Pick For: Engineers; Manufacturing, Chemical Processes or Robotics
- Format: 100% Online w/ Stackable Certificates
- Credits: 33 + Capstone
- Program Length: 2 Years (Full-Time); 3-4 Years (Part-Time)
- Final Project: Capstone
What Makes UW a Great Machine Learning School?
UW has an impressive reputation for AI & ML on the West Coast and some graduates are earning in excess of $154,000 per annum two to three years after graduation. Within the Allen School, you’ll find plenty of research work in AI and Machine Learning, but we’d recommend you take a close look at the faculty profiles for this particular program. MS in AIML professors are closely involved in the eScience Institute and its work in Scientific Software Engineering.
If it’s all sounding good so far, ask the MS in AIML program coordinator for a list of recent capstone projects. Then take that info into a meeting with your current employer to talk about the possibility of tuition reimbursement. Because this is a stackable degree, you’ll be earning ML-relevant credentials along the way and putting yourself in line for promotion within your organization.
Learn More About ML at UW
3 Columbia University in the City of New York – New York City, NY
Online Master of Science in Computer Science (MSCS) – Machine Learning
To deliver the 100% Online Master of Science in Computer Science (MSCS) – Machine Learning, Columbia’s School of Engineering and Applied Science leverages the power of its Columbia Video Network. You’ll start with a breadth component, which requires 1-2 courses from each of three content areas: Systems, Theory, and AI & Applications. Then you’ll be able to concentrate on the Machine Learning track.
In the ML track, you can choose to focus on theory, relevant sub-topics (e.g. unsupervised learning, neural networks, etc.), and/or applications (e.g. machine learning for data science). Plus you can select two electives in even more advanced ML areas. As you might expect, admission is competitive; most students hold an undergraduate computer science degree plus top grades in mathematics (e.g. linear algebra) and computer science (e.g. advanced programming).
Program Highlights
- Strong Pick For: Advanced ML Electives; Customizing Coursework
- Format: 100% Online w/ Recorded Lectures
- Credits: 30
- Program Length: Up to 5 Years; 3 Years on Average
- Final Project: Coursework-Only
What Makes Columbia a Great Machine Learning School?
For more on Columbia’s strengths, visit the Department of Computer Science’s section on Machine Learning @ Columbia and reach out to faculty who share your interests. For example, Elias Bareinboim is the director of the Causal Artificial Intelligence Lab and David Knowles runs the Knowles Lab, which sits at the intersection of ML and genomics. Unsurprisingly, a number of these faculty members are also involved with Columbia’s highly regarded Data Science Institute.
Online students won’t have the same daily networking opportunities as on-campus students, but it’s worth connecting with the department’s specialty student groups (e.g. Women in Computer Science). They will be invaluable sources of inside information on the degree & career planning. Before you apply, we also suggest you ask the program coordinator which machine learning electives will be available to online CVN students; some electives may only be offered on-campus.
Learn More About ML at Columbia
4 New York University – New York City, NY
Online Master of Science (MS) in Emerging Technologies – Machine Learning & Artificial Intelligence
NYU’s Online Master of Science (MS) in Emerging Technologies – Machine Learning & Artificial Intelligence is an excellent program for professionals who wish to design their own plan of study. It’s a 100% online degree that takes 2 years to complete on a full-time basis and 2-3 years on a part-time basis. See the FAQ for more details.
The curriculum is listed in the Bulletin. In this interdisciplinary, 30-credit program, you’ll be allowed to choose 12 credits in the ML & AI concentration and 18 remaining credits in electives. In addition to standard courses in ML foundations, deep learning, and algorithms, there are plenty of intriguing options in ML & data science, ML & bioinformatics, and more. The program culminates in a capstone in either Advanced Machine Learning or AI for Games.
Program Highlights
- Strong Pick For: Customizing Coursework; Urban ML Applications
- Format: 100% Online
- Credits: 30
- Program Length: 2-3 Years
- Final Project: Capstone
What Makes NYU a Great Machine Learning School?
NYU’s Tandon School of Engineering is located in New York City, one of the world’s most vibrant urban centers, and it has a strong stake in large-scale infrastructural challenges. Take a look at what’s happening in the Center for Urban Science + Progress (CUSP) for more on its research labs & groups, including the Machine Learning for Good Laboratory (ML4G).
Eyeing the data science electives? Pay a visit to the Center for Data Science (CIDS) and research its CILVR (Computational Intelligence, Learning, Vision, and Robotics) lab and Machine Learning for Language (ML²) lab. Thinking about robotics or optimization? NYU Tandon provides a useful summary of all relevant research labs & centers in the section on Data Science / AI / Robotics.
Learn More About ML at NYU
5 Purdue University – West Lafayette, IN
Online Master of Science in Artificial Intelligence (MSAI) – AI and Machine Learning
There are two majors in Purdue’s affordable Online Master of Science in Artificial Intelligence (MSAI), but the AI and Machine Learning pathway will be the most relevant for ML professionals. This 100% online program with asynchronous coursework had a low tuition price of $28,000 in 2026.
Examine the Courses Breakdown to learn how its structured. All MSAI students must take credits in AI fundamentals, AI policy, and the societal impacts of AI. But after that it gets more technical, with two mandatory courses in AI/ML and data mining, as well as four electives in your choice of subjects (e.g. statistical ML, applied ML, ML & bioinformatics, advanced topics in scientific ML, etc.). The program finishes with a capstone project.
Program Highlights
- Strong Pick For: Affordability; ML Engineers
- Format: 100% Online
- Credits: 30
- Program Length: 1.5 Years
- Final Project: Capstone
What Makes Purdue a Great Machine Learning School?
If you wish to pursue Purdue’s MSAI, your next step is to visit the Department of Computer Science (CS) and the research section on Artificial Intelligence, Machine Learning & Natural Language Processing. This contains a long list of faculty members with an especial interest in machine learning. In particular, pay attention to professors who have a stake in MINDS: Data Science, Machine Learning, and AI.
Machine learning work at Purdue isn’t limited to the CS department—faculty in the School of Electrical & Computer Engineering are involved in all kinds of practical applications, including the development of trustworthy ML and transfer learning for efficient ML. Thinking about your capstone? The CS department has some impressive corporate partners who may need help on industry challenges.
Learn More About ML at Purdue
6 Duke University – Durham, NC
Online Master of Engineering Management (MEM) – Data Analytics & Machine Learning
Duke bills its Online Master of Engineering Management (MEM) as an MBA alternative for leadership-focused science and engineering students. This part-time, two-year program is a more flexible alternative to Duke’s one-year campus program. You’ll first complete a core of four management courses in marketing, finance, management, entrepreneurship & business law. (It’s a condensed version of MBA coursework, but with a special interest in high tech industries.)
Then you’ll focus on four courses in Data Analytics and Machine Learning. This track prepares students for business & data analyst careers through coursework in data science, financial analysis, and data visualization. To help MEM students to connect with classmates and deliver their capstone project presentations, the program also features three campus residencies.
Note: Hoping to major in computer science or electrical & computer engineering with a focus on ML research? See our summary of Duke’s on-campus programs in our Best Master’s in AI rankings.
Program Highlights
- Strong Pick For: Tech Leadership; Business Intelligence & Financial Analysts
- Format: Online w/ 3 Campus Residencies
- Credits: 30
- Program Length: 2 Years (Part-Time)
- Final Project: Capstone + Internship or Industry Project
What Makes Duke a Great Machine Learning School?
First things first – the MEM is not an advanced technical degree. However, it is offered by the Pratt School of Engineering and comes with instant name recognition. Plus it’s backed by experienced faculty and a well-connected Advisory Board. Take a look at the summary on Graduate Outcomes to learn which companies have ended up hiring MEM alumni. Duke is even happy to match you for an informational interview with a current MEM student who is working in your field of interest or research area.
Not feeling technical enough? Duke also offers an Online Master of Engineering (MEng) – Artificial Intelligence & Product Innovation. Granted, it doesn’t have Machine Learning in the name. However, this MEng has plenty of ML coursework and opportunities to get involved in internships & industry-focused projects.
Learn More About ML at Duke
Explore Duke’s Online MEM – Data Analytics & Machine Learning
7 Boston University – Boston, MA
Online Master of Science (MS) in Applied Data Analytics (ADA) – AI & Machine Learning
Boston University’s Online Master of Science (MS) in Applied Data Analytics (ADA) – AI & Machine Learning from the Metropolitan College (MET) is a 100% online program that is geared toward mid-career IT professionals. On a full-time schedule, it can be completed in as few as 8 months. However, we’d recommend the much more affordable part-time schedule of 4-5 semesters (16-20 months).
The curriculum consists of 8-10 courses. The concentration in AI & Machine Learning covers ML topics like deep reinforcement learning, supervised & unsupervised learning models, and advanced machine learning & neutral networks. But what really makes this program stand-out is the optional thesis through BU MET’s Department of Computer Science. This would give you the opportunity to investigate a specific area of ML research.
Program Highlights
- Strong Pick For: Comp Sci Background; Machine Learning Research
- Format: 100% Online
- Credits: 32-40
- Program Length: 8-20 Months
- Final Project: Coursework-Only or Thesis
What Makes BU a Great Machine Learning School?
Located in the Boston–Cambridge innovation corridor, Boston University is one of several Carnegie R1 institutions that’s fueling Massachusetts’s reputation as a hub for AI and robotics. It also has strong connections to major healthcare institutions in the Hub, especially the Boston Medical Center (BMC). Northeast employers in Boston and NYC will recognize the name!
If you’re considering the ML thesis route, take a look at the Department of Computer Science’s section on ongoing research projects. You’ll notice that a number of faculty are working on healthcare-related machine learning challenges. Alumni say that the program is intensive, even for students with relevant work experience, and conducted at a fast clip (7-week terms).
Learn More About ML at BU
8 University of Illinois at Chicago – Chicago, IL
Online Master of Engineering (MEng) – AI and Machine Learning
The University of Illinois Chicago’s Online Master of Engineering (MEng) is part of their nationally-recognized College of Engineering. For these rankings, we’re recommending the focus area in AI and Machine Learning. You’ll complete a total of nine courses (36 total credits) in this pathway, with four courses that are devoted to AI & ML, including work in AI, deep neural networks, machine learning, and natural language processing.
Examine the curriculum for more details. All MEng students are expected to take leadership-focused credits in engineering law and engineering management, regardless of their chosen track. And there’s no capstone project. Coursework is 100% online and self-paced. A full-time plan of study would take 12 months, but the average student completes the program in under two years.
Program Highlights
- Strong Pick For: AI & ML Engineers; Engineering Management & Technical Leadership
- Format: 100% Online
- Credits: 36
- Program Length: 1-2 Years
- Final Project: Coursework-Only
What Makes UIC a Great Machine Learning School?
UIC is a Carnegie R1 institution, meaning it conducts academic research at the highest levels. The Department of Computer Science also runs several relevant research labs, with work in AI and NLP. Before applying, you may wish to read up on CS faculty with interests in ML & data mining.
Then head over to the Department of Electrical & Computer Engineering’s ECE research section to explore engineering-specific applications. ECE professors are doing some fascinating things in the realms of AI, signal processing, data science, and machine learning.
Learn More About ML at UIC
9 Worcester Polytechnic Institute – Worcester, MA
Online Master of Science in Data Science (MSDS) – Artificial Intelligence (AI) & Machine Learning
Worcester Polytechnic Institute’s Online Master of Science in Data Science (MSDS) allows students to customize their plan of study with a specialization in Artificial Intelligence (AI) & Machine Learning. On a part-time schedule, it can be completed in two years. Bridge coursework is available for students with a non-technical degree.
The curriculum consists of 15 credits in foundational data science subjects; 12 credits in the AI & ML specialization; and 3 credits for the final Graduate Qualifying Project (GQP) with mandatory synchronous sessions. Review the online course listings to learn how you could customize your degree with ML work. The GQP will also give you a chance to work on a real-world project with a sponsor/industry partner.
Note: WPI offers a separate Online Master of Science in Artificial Intelligence (MS-AI).
Program Highlights
- Strong Pick For: Data Science; Customizing Coursework
- Format: 100% Online w/ Synchronous Elements
- Credits: 30
- Program Length: ~2 Years (Part-Time)
- Final Project: Graduate Qualifying Project (GQP)
What Makes WPI a Great Machine Learning School?
WPI is a practical technical institute in Massachusetts with a great ROI. It doesn’t have the same national reputation as MIT or BU, but it has a sturdy record of job placements. Use WPI’s First Destination Dashboard to view a list of employers for MSDS graduates. In 2024, hiring companies included RTX, Dell Technologies, Fidelity Investments, BAE Systems, MITRE, and more. The mean starting salary was $98,939.
Before applying, visit the section on Data Science Programs to learn more about faculty strengths, data science & ML research work at WPI, and the Executive Advisory Board. You can also examine the section on Graduate Qualifying Projects to evaluate industry applications of MSDS coursework and view examples of GQPs.
Learn More About ML at WPI
10 University of New Mexico – Albuquerque, NM
Online Master of Science in Computer Engineering (MSCE) – Applied Machine Learning & Artificial Intelligence
The University of New Mexico’s Online Master of Science in Computer Engineering – Applied Machine Learning & Artificial Intelligence (MSCE – Applied ML & AI) is a 100% online, coursework-only program with an ECE core. It’s also one of our top picks for affordability. In 2026, the total tuition for this Accelerated Online Program was just under $17k.
The 31-credit curriculum features mandatory ECE coursework in machine learning, digital image processing, and deep learning, as well as a graduate seminar and ML-based project (13-16 credits). But you’ll also be allowed to select 15-18 credit hours in additional ECE courses, including optimization theory, AI infrastructure, advanced networking, and more.
Program Highlights
- Strong Pick For: Affordability; Customizing Coursework; ML Engineers
- Format: 100% Online
- Credits: 31
- Program Length: 18 Months or More
- Final Project: Coursework-Only
What Makes UNM a Great Machine Learning School?
UNM is the best school for AI & machine learning in New Mexico. In addition to being a Carnegie R1 institution, it’s a founding member of the New Mexico Artificial Intelligence Consortium (NMAIC) and a close partner of Sandia National Laboratories (SNL) and the Los Alamos National Laboratory (LANL).
It’s also an excellent choice for folks who are looking to network with industry professionals. Within the Department of Electrical and Computer Engineering (ECE), you’ll find a number of experienced faculty with machine learning research interests. Some even hold current roles at Google and SNL. See the Instructors section on the degree website for bios.
Learn More About ML at UNM
11 Northeastern University – Boston, MA
Online Master of Professional Studies (MPS) in Applied AI – Machine Learning for Cybersecurity
Northeastern University’s Online Master of Professional Studies (MPS) in Applied AI is a 100% online degree that you can customize with a Machine Learning for Cybersecurity concentration. On a full-time schedule, you can complete your MPS in 12 months. A part-time plan of study would take 20 months. Coursework is asynchronous with optional live sessions.
The curriculum features four mandatory courses in applied AI, machine learning, computer vision, and NLP; four courses in the concentration, additional electives, and a capstone project. In addition to learning about AI for cybersecurity and ML for cyberdetection, you can choose credits in areas like applied quantum AI and applied deep learning.
Program Highlights
- Strong Pick For: AI & ML Security Engineers; Cyber Threat Detection Analysts
- Format: 100% Online w/ Optional Live Sessions
- Credits: 45
- Program Length: 12-20 Months
- Final Project: Capstone
What Makes Northeastern a Great Machine Learning School?
Alongside MIT, Harvard, and BU, Northeastern is one of the biggest players in AI and machine learning in Massachusetts. Have a look at the Khoury College of Computer Sciences’s section on Machine Learning and the Institute for Experiential AI for proof. You’ll notice that Northeastern has an especial interest in applied AI solutions.
Anyone eyeing the cyber concentration should also investigate the section on Cybersecurity and Privacy. Current faculty projects in cyber include the security of LLM agents, IoT vulnerabilities, and the privacy of language models. Better yet, Northeastern is a National Center of Academic Excellence for Cyber Operations (CAE-CO).
Learn More About ML at Northeastern
Explore Northeastern’s Online MPS in Applied AI – Machine Learning for Cybersecurity
12 Rice University – Houston, TX
Online Master of Data Science (MDS) – Machine Learning
Rice’s Online Master of Data Science (MDS) with a machine learning track is a strong choice for anyone who is focused on big data and statistics. This online data science program can be completed in 18 months on a full-time schedule, but it’s ideal for part-time students with a 24- to 36-month time to completion. We also like the fact that Rice keeps class sizes small, which allows for one-on-one time with faculty.
The curriculum consists of 31 total credit hours: a data science core, the machine learning specialization, and one elective in computing, ethics, or security. View the sample degree plans for more on the ML pathway – there will be work in deep learning, data mining, and network science & analytics. The program does not require a thesis, but students tackle a real-world problem through a capstone project in Rice’s Data to Knowledge (D2K) Lab.
Program Highlights
- Strong Pick For: Data Science; Faculty Interactions
- Format: 100% Online w/ Weekly Live Sessions
- Credits: 31
- Program Length: 1.5-2 Years (Full-Time); 2.5-3 Years (Part-Time)
- Final Project: Capstone
What Makes Rice a Great Machine Learning School?
Rice’s innovative program is part of the university’s Data Science Initiative, which is aimed at training talented data scientists, developing new data science methods through ML and NLP, and applying these advancements to important industries (e.g. biomedicine, geoscience, marketing, etc.). Have a look at the section on Methods Development research to learn more about faculty who have a special interest in ML.
Rice’s Data to Knowledge Lab takes it one step further by empowering students to use big data to solve real issues at major companies. In addition to supporting student-run data science clubs and organizing events such as data science hackathons and datathons, the Lab maintains a useful archive of industry-affiliated MDS capstone projects. Plus Rice has strong relationships with Houston-based businesses, giving alumni students an edge with Texas energy & healthcare employers interested in hiring ML talent.
Learn More About ML at Rice
13 George Washington University – Washington, DC
Online Master of Engineering (MEng) in Artificial Intelligence & Machine Learning
GW’s Online Master of Engineering (MEng) in Artificial Intelligence & Machine Learning is explicitly designed for working professionals. It’s 100% online, with a mix of synchronous, real-time aspects and asynchronous “learn on your own time” coursework.
With this MEng, you follow a fixed plan of study—there are no electives or concentrations. However, you’ll still find plenty of thoughtful work contained in the ten courses, including studies in foundational areas (e.g. machine learning for engineers and Python applications in data analytics), more advanced topics (e.g. NLP with deep learning), and an AI capstone project. Having said that, it’s a solid all-rounder rather than a deep-dive ML degree.
Program Highlights
- Strong Pick For: Working Professionals; Project Management
- Format: 100% Online w/ Synchronous Elements
- Credits: 30
- Program Length: Up to 3 Years
- Final Project: Capstone
What Makes GW a Great Machine Learning School?
Because the curriculum is set in stone, we suggest you talk to the program coordinator about how you can adapt the MEng to suit your ML goals. The degree is offered by GW’s School of Engineering & Applied Science (SEAS), which has a lot of helpful ties to government institutions in Washington D.C. (e.g. Department of Energy).
You’ll also find a summary of the university’s AI/Machine Learning research and bios of ML-related faculty within the Department of Computer Science. Folks who are hungering to work on ML research and need something more targeted than the online MEng can consider the department’s on-campus MSCS, which can be customized to suit almost any field.
Learn More About ML at GW
14 Stevens Institute of Technology – Hoboken, NJ
Online Master of Science (MS) in Machine Learning
Stevens Institute of Technology offers many fascinating programs in fields like artificial intelligence and data science, but the Online Master of Science (MS) in Machine Learning will be the most relevant to your needs. This 100% online, 30-credit degree has a flexible format. You can choose a full- or part-time schedule and take advantage of SIT’s unique research opportunities.
The entire curriculum focuses on ML foundations and advanced skills. You’ll complete three core courses in ML foundations, NLP, and ML applications and then select two courses in deep learning, statistical machine learning, or AI. The remainder of the degree can be supplemented with electives in a range of topics, including cognitive computing, advanced optimization, and big data technologies.
Note: SIT also offers an Online Master of Science in Applied Artificial Intelligence (MS in AAI).
Program Highlights
- Strong Pick For: ML Engineers; ML Research
- Format: 100% Online
- Credits: 30
- Program Length: 1.5-2 Years
- Final Project: Coursework-Only
What Makes SIT a Great Machine Learning School?
In the New Jersey area, SIT is known as a top artificial intelligence and machine learning research institution. Students are able to participate in the university’s exciting ML work at the Stevens Institute for Artificial Intelligence (SIAI), the Center for Innovative Computing and Networked Systems (iCNS), the Department of Computer Science, and beyond.
And because SIT is located so close to New York City and Manhattan, graduates have an inside track on networking with top companies. This up-and-coming tech institute was the first among New Jersey institutions for graduate earnings in 2025 and alumni have accepted positions with Amazon, Intel, IBM, Google, and more.
Learn More About ML at SIT
15 Drexel University – Philadelphia, PA
Online Master of Science in Artificial Intelligence and Machine Learning (MSAIML)
Founded in 1891, Drexel University is a Carnegie R1 institution with a longstanding reputation for quality in the Northeast. The technically-focused Online Master of Science in Artificial Intelligence and Machine Learning (MSAIML) from the College of Computing & Informatics (CCI) is offered in an 100% online format and provides plenty of opportunities for customization.
The 45-credit curriculum features five core courses, three required electives in an applied or computational concentration, five free electives, and, finally, a team-oriented, two-term capstone project. See the Graduate Catalog for a comprehensive list of course titles & descriptions. It takes an average of two years for full-time students to complete; part-time working students can slow that pace down.
Program Highlights
- Strong Pick For: Customizing Coursework; ML Engineers & Specialists
- Format: 100% Online
- Credits: 45
- Program Length: 2-3 Years (Full-Time); 2-4 Years (Part-Time)
- Final Project: Capstone
What Makes Drexel a Great Machine Learning School?
Drexel’s program may be a little longer than some of the other degrees in our rankings, but it will provide you with a thorough grounding in the field and exposure to serious faculty members. Browse through their work in AI, Machine Learning & Robotics Research, then look closely at the courses offered in the concentrations for the MSAIML.
Recruiters tend to love Drexel’s CCI grads because they know they’ll gain valuable employees who are ready to work. In addition to the industry-focused capstone, the school offers many networking opportunities to connect students with companies.
Learn More About ML at Drexel
Methodology: How We Evaluated Online Master’s in Machine Learning Programs
Our 2026 rankings of the Best Online Master’s in Machine Learning Programs in the USA are based on a weighted algorithm that draws on a large number of independent & reputable data sources. We consider many factors when evaluating virtual ML graduate degrees, including:
- Program Focus: Universities in the U.S. now offer AI and machine learning programs as stand-alone degrees or as concentrations in associated fields such as computer science and data science. To keep things specific, we have only included graduate degree programs with machine learning in the program name or emphasis.
- Program Delivery: Online graduate degrees in machine learning come in many forms. Some are offered in a 100% online format; others are hybrid with a mix of online and on-campus courses. For these rankings, we’ve only considered ML programs that are fully online or primarily online with limited campus visits (e.g. Duke’s residencies).
- Academic Reputation & Awards: Our algorithm takes into account external awards (e.g. U.S. News) and departmental reputation in fields related to machine learning (e.g. computer science, statistics, analytics, and more). We also factor in the university’s AI research output.
- Outcomes: Our rankings algorithm includes data points on real-world concerns such as graduate completion rates and earnings potential. That’s why the University of Washington—with its strong showing in degree completions and high median salaries for alumni—stands at #2.
- Average Performance: Our unique algorithm is built to reward schools that perform well in multiple categories rather than excelling in one area.
As a result, we’ve highlighted 15 great schools with Online Master’s in Machine Learning Programs. Once you’ve read through these ML profiles, we recommend you compare them with our rankings of the Best Online Master’s in AI Programs. You will have more choice if you’re willing to widen your search.
Types of Machine Learning Graduate Programs Available Online
During the research phrase for our rankings, we unearthed many kinds of online master’s in machine learning graduate programs. Distance learning degrees in ML are now available for almost any type of career situation.
Technical: We’d place programs like Georgia Tech’s OMSCS, Columbia’s Online MSCS – Machine Learning, Stevens Institute of Technology’s Online MS in Machine Learning, and and Drexel’s Online MSAIML in this category. These are degrees that have been developed by Departments of Computer Science and are designed for applicants with a strong undergraduate record in computer science & mathematics. They’ll allow you to customize your plan of study with advanced ML electives and—hopefully—won’t bore you with things you already know.
Foundational: This is what we’d call degrees that have a lower threshold of entry than high-level technical programs. They’re often open to career changers and folks with a wider range of undergraduate majors. Plus you may only need 2-3 prerequisites in order to apply. To get a grip on this kind of program, examine GW’s Online MEng in AI & ML. These types of ML degrees will always start with a fair amount of credits in fundamental areas (e.g. principles of programming).
Engineering: Colleges of Engineering have also been busy developing practical machine learning programs that are specifically designed for engineers. Examples of these would include UW’s Online MS in AIML for Engineering and UIC’s Online MEng – AI & ML. UIC’s degree is a cross-breed between a technical ML degree and an engineering program—you’ll get computing work, but you’ll also have to take credits in engineering law & engineering management.
Data Science: Rice’s Online Master of Data Science (MDS) – Machine Learning and WPI’s Online Master of Science in Data Science (MSDS) – AI & ML are strong choices for aspiring data scientists. However, this is just the beginning. If you are thinking of earning a graduate degree in DS, be sure to visit our guide to Master’s in Data Science Programs. Although machine learning may not be in the title, all reputable data science degrees will be exploring ML theory & applications.
Business: Our rankings feature an online machine learning program that is built for business professionals—see the summary of Duke’s Online MEM – Data Analytics & Machine Learning for details. This is a non-technical degree that addresses how ML and AI can affect business decisions. This kind of program would be a terrible choice for an ML Engineer, but it may be perfect for a Business Analyst.
On top of all this, you’ll find that each online ML master’s degree will have one or two unique selling points. For instance, NYU’s Online MS in Emerging Technologies – ML & AI may be a fabulous choice for anyone interested in diving into the intricacies of urban ML applications. Use our profiles to get a feel for the degree’s “personality.”
How to Find the Best Master’s in Machine Learning For You
Once you’ve landed on the right type of online master’s degree in machine learning in our rankings, you can start to compare programs side-by-side. Here are some points to consider when you’re seeking to find the very best qualification for a fulfilling career in ML:
ML Major or Specialization: Do you want to pursue a standalone degree like SIT’s Online MS in Machine Learning or an ML specialization within another major like Columbia’s Online MSCS – Machine Learning? SIT’s program is completely devoted to machine learning, but Columbia’s MSCS may be right for someone who’s out to impress employers with an Ivy League degree in computer science.
Course Customization: Programs like GW’s Online MEng in AI & ML keep things simple with fixed plans of study. But online degrees from schools like Georgia Tech, NYU, Columbia, and Drexel have lots of electives in advanced computing & machine learning topics. One note of caution—some electives will be limited to on-campus students. So check with the program coordinator once you have a course list in mind.
Cost of Attendance: We’ve included a tuition link in each profile so you can navigate quickly to cost. We’ve also flagged budget-friendly options in our “Strong Pick For” section. Georgia Tech is known for being the cheapest, but programs like UNM’s Online MSCE – Applied ML & AI cost less than $17k. In contrast, machine learning graduate degrees from Duke, Columbia, NYU, and USC will cost in excess of $70k without aid. Tuition reimbursement from your employer can help, but it’s critical to stay objective when assessing what you can afford.
Reputation: Is it necessary for your ML career goals to attend a costly prestigious university or is a well-ranked, reasonably-priced accredited school enough? When it comes to this question, we recommend leveraging the university’s assets to your advantage. That’s why we’ve included a short summary of each school’s research strengths in machine learning, as well as links to faculty and labs. Even a second-tier school can turn out to be a great pick if you’re able to work on relevant machine learning projects with the right industry partners.
Time to Finish: Are you able to commit to 3-4 courses and finish within a year? Or will you need to stretch things out to 1-2 courses per semester and finish in 2-3 years while you’re working? Since each program is unique, we’ve given you ballpark estimates in each profile to help you make a decision. Some degrees will also provide sample plans of study for part-time & full-time students. If you don’t see one on the website, ask the program coordinator for a calendar.
Online vs. On-Campus Master’s in ML Degrees: How to Decide
Online graduate programs in machine learning still aren’t as popular as broader online offerings in AI. If you really wish to focus on advanced ML, you’ll significantly expand your options by considering hybrid and on-campus programs. Our guide to Master’s in Machine Learning Programs has a comprehensive state-by-state directory of these degrees. Here are a few factors that may sway your decision in one direction or the other:
100% Online vs. Hybrid: 100% online master’s degrees in ML are the ultimate in flexibility. A number of them are completely asynchronous, which means you can watch lectures and complete assignments on your own time. If they include synchronous, real-time elements like class meetings and online lectures, they will schedule these in the evening or on the weekends. On the other hand, a hybrid degree in machine learning will offer opportunities to access the university’s computing resources, collaborate with faculty & students on research projects, and network with industry partners and high-flying experts at departmental events.
Full-Time vs. Part-Time: Can you afford to take off enough time to attend full-time, or do you need the flexibility of a part-time online program? Most online graduate offerings in ML are made with working students in mind. On the other hand, full-time attendance allows you to finish faster, helping you land a promotion or better-paying job months or even years sooner than a part-time plan of study.
In-State vs. Out-of-State: Is there a public university that’s within your commuting range? If so, they may be able to offer you a highly affordable, in-state tuition rate on a hybrid or on-campus master’s degree in AI, data science or machine learning. Alternatively, are you willing to relocate for a year or so to earn an on-campus degree from a big-name school? If the answer to both of these questions is “no,” then online may be the best option.
Learning Efficacy: How do you feel about being self-directed? Will you find it difficult to tackle technical coursework without guidance? Will your online graduate program in ML use simulations or practical approaches to match the hands-on learning experiences of in-person courses? Chat with program coordinators, faculty, and recent ML alumni to get a feel for what you can expect. Some graduate students love being left alone and others really crave collaboration.
Machine Learning FAQ
Is an Online Master’s in Machine Learning Worth It?
An online master’s in machine learning may be worth the investment if you plan carefully. The tech market is already heaving with PhD and MS graduates and automation isn’t making things easier. Employers have grown increasingly wary of the AI/ML degree mill, so you may also be fighting against perception.
- Earning an online master’s degree from a big-name school like NYU will bring you to the attention of a hiring committee, but what’s going to tip the balance in your favor is real-world experience. This is why we advise you to start thinking about your master’s capstone in ML, internship electives, and potential industry collaborations before you even apply.
- Look up the bios of the department’s Advisory Board. Find out which machine learning & AI labs are currently working on projects with government labs & major companies. Talk to the program coordinator about how you can partner with these folks.
Your goal is to squeeze as much practical experience (and networking) into your plan of study as possible.
I’m Not Finding the Right Online Master’s in Machine Learning. Do I Have Other Options?
If you can’t find what you’re looking for in our machine learning, artificial intelligence and/or data science listings, you could always consider customizing an online master’s in computer science (MSCS) or applied statistics with machine learning electives. The latter is a strong alternative for data scientists who need ML skills.
Will Online Coursework in Machine Learning Go Deep Enough?
The depth and complexity of coursework in an online master’s degree in machine learning will depend on which department & faculty members developed the program. Keep in mind, too, that some online master’s programs in ML are designed to be “foundational” rather than technically advanced.
You’re unlikely to get superb ML courses across the board—some professors just won’t care. So look for core courses & electives that are taught by passionate faculty members who are really putting in the effort. That’s why we suggest assembling a proposed plan of study, complete with machine learning electives, and then reaching out to recent alumni to see if any courses should be ditched.
Will Employers Want to See an On-Campus Master’s Degree in Machine Learning?
The word “online” won’t be listed on your diploma, so hiring committees aren’t going to recoil in horror when they see your résumé. Having said that, they may be more likely to favor a candidate who’s been on the ground at a university, working closely with well-known faculty in a machine learning lab or institute.
- We recommend on-campus degrees in ML for anyone who’s eyeing roles in high-level research and academia. You’ll have plenty of opportunities to apply for teaching & research assistantships. You may even qualify for funding that covers the cost of your degree.
- Online degrees in ML will be especially useful to folks who are already employed or seeking to negotiate themselves into a specific role. Talk to employers about your plans, present them with your shortlist, and discuss how you’ll be applying coursework to your job.
Schools Offering Online Master’s in Machine Learning Programs
Arkansas
Arkansas State University
Department of Information Technology and Business Analytics
Jonesboro, Arkansas
California
San Jose State University
College of Graduate Studies
San Jose, California
MS in Statistics - Machine Learning
Offered Online
Colorado
Colorado State University Global
Graduate Department
Aurora, Colorado
District of Columbia
George Washington University
School of Engineering and Applied Science
Washington, District of Columbia
Georgia
Columbus State University
School of Computer Science
Columbus, Georgia
Georgia Institute of Technology
College of Computing
Atlanta, Georgia
Georgia Southern University
College of Engineering and Computing
Statesboro, Georgia
Mercer University
Department of Informatics and Mathematics
Macon, Georgia
Illinois
University of Illinois at Chicago
College of Engineering
Chicago, Illinois
Indiana
Purdue University
The Graduate School
West Lafayette, Indiana
Louisiana
Tulane University of Louisiana
Department of Computer Science
New Orleans, Louisiana
Massachusetts
Boston University
Department of Computer Science
Boston, Massachusetts
Northeastern University
College of Professional Studies
Boston, Massachusetts
Wentworth Institute of Technology
School of Computing & Data Science
Boston, Massachusetts
Michigan
University of Michigan-Flint
College of Innovation and Technology
Flint, Michigan
Walsh College
School of Technology
Troy, Michigan
New Jersey
Saint Peter's University
School of Business
Jersey City, New Jersey
MBA in AI and Machine Learning
Offered Online
Stevens Institute of Technology
Department of Computer Science
Hoboken, New Jersey
Master of Science in Machine Learning
Offered Online
New Mexico
University of New Mexico-Main Campus
School of Engineering
Albuquerque, New Mexico
New York
Adelphi University
Department of Mathematics and Computer Science
Garden City, New York
Columbia University in the City of New York
Computer Science Department
New York, New York
North Carolina
Duke University
Pratt School of Engineering
Durham, North Carolina
Pennsylvania
Drexel University
College of Computing & Informatics
Philadelphia, Pennsylvania
Villanova University
School of Business
Villanova, Pennsylvania
Texas
Rice University
Department of Computer Science
Houston, Texas
Southern Methodist University
DataScience@SMU
Dallas, Texas
Tarleton State University
Department of Computer Science and Electrical Engineering
Stephenville, Texas
Utah
Western Governors University
Computer Science Department
Salt Lake City, Utah
Virginia
Old Dominion University
School of Data Science
Norfolk, Virginia
Washington
University of Washington-Seattle Campus
College of Engineering
Seattle, Washington
Wisconsin
Milwaukee School of Engineering
Computer Science and Software Engineering Department
Milwaukee, Wisconsin
Master of Science in Machine Learning
Offered Online
University of Wisconsin-Milwaukee
College of Engineering & Applied Science
Milwaukee, Wisconsin
