10 Online AI Data Science Degrees 2026
Published on:
February 18, 2026
Explore accredited online AI data science degree programs. Compare costs, career outlook, and flexible options to find the right fit for you.
Artificial intelligence is changing how businesses analyze data, automate decisions, and solve complex problems. If you want to be part of that shift, earning an AI data science degree online can help you build the technical and analytical skills employers are actively seeking.
An online AI data science degree blends statistics, programming, and machine learning into one focused path. Whether you’re finishing a bachelor’s degree or advancing with a master’s, these programs can prepare you for careers in data science, AI development, and advanced analytics — all in a flexible online format.
What Is an Online AI Data Science Degree?
An online AI data science degree is a bachelor’s or master’s program that combines core data science training with artificial intelligence concepts such as machine learning, neural networks, and predictive modeling. Instead of treating AI as a separate field, these programs integrate it directly into data analysis coursework so you learn how to build systems that interpret, automate, and improve decisions using data.
At the undergraduate level, you’ll typically study programming languages like python, database systems, statistics, and introductory machine learning. Graduate programs go deeper into advanced modeling, deep learning, AI optimization, and large-scale data systems. Because these degrees are offered online, they’re often structured for working adults, with part-time options, asynchronous coursework, and multiple start dates throughout the year.
Best Online AI Data Science Degree Programs
Choosing the right AI data science degree starts with finding a program that balances technical depth, flexibility, and clear AI integration. Below are online programs that combine data science foundations with artificial intelligence coursework in meaningful, career-focused ways.
1. Boston University
Boston University offers an online Master of Science (MS) in Data Science designed to build advanced analytical and machine learning expertise. The curriculum emphasizes artificial intelligence, statistical modeling, and large-scale data systems, making it a strong option for students who want rigorous technical training with real-world applications.
Based in Boston, Massachusetts, the university is accredited by the New England Commission of Higher Education (NECHE). Its strong research reputation and AI-focused coursework make this program particularly appealing for students targeting high-level data science roles.
2. Elms College
At Elms College, students can earn a fully online Bachelor of Science (BS) in Data Science and Artificial Intelligence that blends programming, analytics, and machine learning. Coursework is project-based, and students may tailor their studies toward focus areas such as business or biotech to align with career goals.
Internship opportunities and applied learning components help students gain practical experience alongside their technical training. Elms College is located in Chicopee, Massachusetts and is accredited by the NECHE.
3. Merrimack College
Merrimack College’s online Master of Science in Data Science includes a concentration in applied artificial intelligence, allowing students to focus on machine learning and AI implementation. The program emphasizes real-world datasets and hands-on modeling rather than purely theoretical study.
Accredited by the NECHE, Merrimack College is located in North Andover, Massachusetts. Its applied AI concentration makes it a strong fit for professionals who want to move into data-driven roles without stepping away from the workforce.
4. National University
Based in San Diego, National University offers both a Bachelor of Science in Data Science and a Master of Science in Data Science with specializations in AI optimization. The curriculums integrate predictive modeling, data engineering, and artificial intelligence tools designed for industry use.
National University is accredited by the WASC Senior College and University Commission (WSCUC). With year-round enrollment and flexible course formats, the programs are structured to support working adults advancing into AI-focused analytics careers.
5. Northwestern University
Northwestern University offers an online Master of Science in Data Science with an artificial intelligence track that explores machine learning, deep learning, and AI-driven modeling. Students can tailor electives toward advanced analytics applications across industries such as technology, health care, and finance.
Located in Evanston, Illinois, the university is accredited by the Higher Learning Commission (HLC). The AI track adds focused depth for students who want a graduate program grounded in both theory and applied data science practice.
6. Old Dominion University
Based in Norfolk, Virginia, and accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC), Old Dominion University offers a fully online Bachelor of Science in Data Science with a specialization in artificial intelligence and machine learning. The program combines programming, statistics, and data management with focused AI coursework.
Students explore neural networks, predictive modeling, and advanced computing concepts while building a strong technical foundation. As a public institution, ODU provides a structured undergraduate pathway for those who want early exposure to AI within a data science framework.
7. Rutgers University
Rutgers University offers an online Master of Business and Science (MBS) in analytics – data science and artificial intelligence that blends technical training with applied business strategy. Students study machine learning, AI systems, and advanced analytics while also developing communication and leadership skills.
Headquartered in New Brunswick, New Jersey, Rutgers is accredited by the Middle States Commission on Higher Education (MSCHE). The interdisciplinary structure makes this program especially appealing for professionals who want to apply AI and data science in organizational or industry settings.
8. University of Dallas
Located in Irving, Texas, and accredited by the SACSCOC, the University of Dallas offers a Master of Science in Data Science and Artificial Intelligence with an online option. The curriculum combines statistical analysis, machine learning, and ethical AI development.
Students work with real-world datasets while exploring responsible AI practices and advanced modeling techniques. The program’s focused integration of AI within data science makes it a solid choice for those seeking graduate-level technical depth in a private university setting.
9. University of Denver
The University of Denver offers a Master of Science in Data Science and Artificial Intelligence that integrates advanced analytics, machine learning, and AI system development. Students engage with applied projects designed to mirror industry challenges while strengthening statistical and programming skills.
Accredited by the HLC, the university is located in Denver. Its emphasis on hands-on learning and AI-driven modeling makes it a strong graduate option for students seeking technical depth in an online format.
10. University of Maryland Global Campus
Accredited by the MSCHE, University of Maryland Global Campus (UMGC) offers an online Master of Science in data analytics with electives that allow students to focus on artificial intelligence topics. The curriculum emphasizes data mining, predictive modeling, and analytical problem-solving.
Based in Adelphi, Maryland, UMGC structures its programs for working adults, with flexible course scheduling and practical assignments. The ability to shape AI-focused coursework within a broader analytics degree provides adaptability for students entering data-driven fields.
How We Rank Schools
To create this list, we review data from the U.S. Department of Education College Scorecard and the National Center for Education Statistics (NCES), along with program-level details published by each university.
We then evaluate each school based on factors that matter most to students pursuing an AI data science degree, including academic quality, flexibility, and career relevance. Below are the core criteria we consider when comparing programs:
- Accreditation: We prioritize regionally accredited institutions to ensure academic standards, credit transferability, and eligibility for federal financial aid.
- Online availability: Programs must offer a fully online format or substantial online access to support working adults and remote learners.
- Career alignment: We look for curricula that integrate artificial intelligence, machine learning, and applied data science skills that align with current workforce demands.
- Student outcomes: We review publicly available data related to retention, graduation rates, and post-graduation pathways to gauge overall program effectiveness.
What Will You Learn in an AI Data Science Degree Program?
An AI data science degree program typically combines statistics, computer science, and artificial intelligence into one focused curriculum. You’ll study programming languages such as python, database systems, data visualization, and statistical modeling before progressing into machine learning, predictive analytics, and AI system development.
At the graduate level, coursework often explores deep learning, neural networks, natural language processing, and large-scale data architecture. Many programs also incorporate hands-on projects using real-world datasets, helping you apply AI tools to practical business, research, or technology challenges rather than learning theory alone.
How Long Does it Take to Earn an AI Data Science Degree Online?
The time required depends on your starting point and degree level. A Bachelor of Science in data science with artificial intelligence components typically takes about four years of full-time study, though transfer credits or accelerated formats can shorten that timeline.
A Master of Science in data science or AI-focused analytics often takes one to two years to complete. Many online programs offer part-time enrollment, multiple start dates, and flexible pacing, allowing working professionals to progress at a schedule that fits their career and personal responsibilities.
How Much Does an Online AI Data Science Degree Cost?
The cost of an online AI data science degree can vary widely depending on several factors, including degree level, institution type, and residency status. Public universities may charge different tuition rates for in-state and out-of-state students, while private institutions often have one standard rate regardless of location. Graduate programs typically cost more per credit than bachelor’s degrees.
Other variables can influence overall expenses, such as technology fees, course materials, and whether the program follows a per-credit or per-term tuition model. While online programs may reduce relocation or housing costs, it’s still important to review total program pricing carefully before enrolling.
Financial Aid for Online AI Data Science Degrees
Paying for an AI data science degree may feel overwhelming at first, but many online students qualify for financial support. Aid options vary by school, but regionally accredited institutions typically participate in federal financial aid programs.
Common financial aid options include:
- Federal grants: Need-based grants, such as the Pell Grant for eligible undergraduate students, do not require repayment.
- Federal student loans: Subsidized and unsubsidized loans can help cover tuition and fees, with repayment beginning after graduation or when enrollment drops below half-time.
- Institutional scholarships: Many universities offer merit-based or program-specific scholarships for students pursuing technology and data-related degrees.
- Employer tuition assistance: Some employers provide tuition reimbursement for employees earning degrees in high-demand fields like data science and artificial intelligence.
- Military and veteran benefits: Eligible service members and veterans may use education benefits to offset tuition and related costs.
How To Choose the Right AI Data Science Degree
Not all AI data science degrees are structured the same, so it’s important to look beyond the program title. Taking time to compare curriculum focus, flexibility, and career preparation can help you choose a program that fits both your goals and your schedule.
Curriculum Alignment
Look for programs that balance core data science fundamentals like programming, statistics, and data management with AI-specific topics such as machine learning and neural networks. A degree that integrates hands-on projects or capstones can help you apply these skills to real problems.
Format and Flexibility
Consider whether a program’s online delivery fits your schedule, especially if you’re working while you study. Fully online, asynchronous courses with multiple start dates tend to offer the greatest flexibility, while cohort formats can provide more structured peer engagement.
Career Support
Evaluate what career and internship resources are available — such as job placement assistance, employer connections, or practicum opportunities — to help bridge learning and employment. Programs with strong industry links can improve your transition into data science and AI fields.
Degree Level and Pathway
Decide whether you need a bachelor’s for an entry career start or a master’s for advanced technical roles. Some schools offer stackable credentials or certificates that can build toward a degree over time if you’re not ready to commit to a full program upfront.
Career Outlook With an Online AI Data Science Degree
Careers tied to data science and AI are growing much faster than average across the U.S. economy. According to the U.S. Bureau of Labor Statistics, employment of data scientists — a core role for graduates of these programs — is projected to increase significantly over the 2024–34 decade, far outpacing growth for all occupations.
Other closely related technology occupations, including computer and information research scientists, are also expected to see much faster than average employment growth as organizations continue to adopt data-driven decision-making and advanced computing tools.
FAQs About the Best Online AI Data Science Degree Programs
Choosing an AI data science degree comes with practical questions about value, credibility, and fit. Below are answers to common concerns students have before enrolling in an online program.
Is an Online AI Data Science Degree Worth It?
An online AI data science degree can be worth it if you’re looking to build in-demand technical skills in programming, machine learning, and data analysis. With organizations across industries relying more heavily on data-driven decision-making, professionals who understand both data science and artificial intelligence may have broader career flexibility. The key is choosing a regionally accredited program with applied coursework that aligns with your long-term goals.
Is an Online AI Data Science Degree Respected by Employers?
Employers generally focus more on skills, experience, and accreditation than on whether a degree was earned online. If your program is regionally accredited and includes hands-on projects using industry-relevant tools, it can carry the same credibility as an on-campus degree. Demonstrating practical experience through internships, capstones, or portfolio work can further strengthen your professional profile.
Who Should Consider an AI Data Science Degree Program?
An AI data science degree program may be a good fit for students who enjoy working with data, problem-solving, and technology. It can also benefit professionals in fields such as business, health care, finance, or engineering who want to expand into analytics or AI-driven roles. Whether you’re starting your first degree or advancing your education, the program should match your technical background and career ambitions.
Do I Need a Strong Math or Programming Background for an AI Data Science Degree?
Many bachelor’s programs begin with foundational coursework in algebra, statistics, and introductory programming, making them accessible to students without a technical background. Master’s programs, however, often expect prior experience in calculus, statistics, or languages such as python. Some schools offer bridge or prerequisite courses to help students strengthen their skills before starting advanced AI and data science classes.
What’s the Difference Between a Data Science Degree and an AI Degree?
A data science degree typically focuses on collecting, analyzing, and interpreting data using statistics, programming, and visualization tools. An artificial intelligence degree places greater emphasis on building intelligent systems, including machine learning models, neural networks, and automation technologies. An AI data science degree blends both areas, teaching you how to analyze data and apply AI techniques to improve predictions, decision-making, and system performance.
Find Online AI Data Science Degrees
Find the perfect AI data science degree by exploring the programs featured on Learn.org. Reach out to individual schools to learn more about admissions, enrollment, and financial aid.