As the field of AI continues to grow rapidly, more and more postsecondary institutions are adding degree programs in AI. While this is good news, considering employment of AI professionals is expected to increase by 21% through 2031, it can make it challenging to determine which program is right for you.
To help, Intelligent.com evaluated online AI certificates, bachelor’s, master’s, and doctorate degree programs from reputable U.S. schools and created this list of the best online AI degree and certificate programs for 2024.
Because AI is a multidisciplinary field, this list includes degrees and certificates in a variety of areas besides AI, such as computer science, machine learning, and data science.
For additional help in finding the right AI program, there are resources for what to expect in an AI degree program, including coursework; the career outlook for AI, and FAQs about the cost, duration, and benefits of an AI degree.
What Can I Expect from an Online Artificial Intelligence Degree Program?
Artificial intelligence (AI) refers to computer software that enables machines to mimic human cognitive functions, including decision-making, language translation, and using real-time data to adjust responses and performance. The term is also used as a catch-all for the technology’s many sub-fields, such as machine learning, data science, natural language processing, and more.
In general, students in AI degree programs can expect their coursework and learning experiences to reflect the field’s interdisciplinary nature, with classes in computer science, AI, data science, mathematics, statistics and more.
Degree level often dictates what students should expect from their AI degree program. Undergraduate degrees typically offer more breadth, covering the basic and intermediate foundations of AI and its subfields. Master’s degrees offer more advanced, focused study, typically on a specific branch of AI. There are typically more requirements for admission to master’s programs, such as professional experience or undergraduate GPA.
The type of online program you choose can also impact what to expect. Students who enroll in synchronous programs can expect scheduled sessions in virtual classrooms that allow for real-time interaction with faculty and classmates. Meanwhile, in asynchronous programs, there are no designated class meetings. Students learn via reading assignments, pre-recorded lectures, and videos, and may have limited interaction with faculty and fellow students.
Students should also note the differences between degree and certificate programs. Degree programs generally take longer to complete, but cover a wider range of concepts and skills. Certificates, meanwhile, usually focus on a specific skill or topic and are designed for continued professional development.
Potential courses you’ll take in an online artificial intelligence degree program
- Advanced Artificial Intelligence: Covers topics including search and optimization, simulated annealing, evolutionary algorithms, gradient optimization, constraint optimization, decision-making under uncertainty, supervised learning, deep learning, reinforcement learning, various search methods, and more.
- Machine Learning: Introduces fundamental problems in machine learning and provides an understanding of techniques, mathematical concepts, and algorithms used in machine learning. Topics include introduction, regression, kernel methods, generative learning, discriminative learning, neural networks, support vector machines, graphical models, unsupervised learning, and dimensionality reduction.
- Natural Language Processing: Introduces the problems of computing with human languages. Topics include parsing, semantic representations, text generation, lexicography, sublanguage studies and more.
- Big Data Technologies: Provides a rapid immersion into the area of big data, and the technologies that have recently appeared to manage it.
- Statistical Learning: Teaches modern statistical methods for learning from data, such as regression, classification, kernel methods, and support vector machines.
Best Accredited Online Artificial Intelligence Degree Programs
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How we rank schools
This list features some of the best artificial intelligence degree programs in the U.S. All are offered at nonprofit, accredited institutions, either public or private, with a high standard of academic quality for post-secondary institutions.
We evaluated each degree program on tuition costs, admission, retention and graduation rates, faculty, reputation, and student resources. Then we calculated the Intelligent Score on a scale of 0 to 100. Read more about our ranking methodology.
Next, we compared our picks to a list of aggregated college rankings from reputable publications like the U.S. News & World Report, among others, to simplify a student’s college search. We pored through these rankings so students don’t have to.
Still Looking for the Right Fit? Discover Similar Programs
There are a variety of options for studying artificial intelligence, including in-person programs at brick-and-mortar schools, degrees in similar fields, and certificate programs. Intelligent.com has reviewed dozens of related programs to help you understand all your options, and find the AI program that’s right for you.
- Best Online Master’s Degree in Artificial Intelligence
- Best Schools for Artificial Intelligence
- Best Online Computer Science Programs
- Best Online Cybersecurity Degree Programs
What Can I Do With an Online Artificial Intelligence Degree?
AI is an ideal field for innovative individuals who are passionate about being on the cutting edge of technology and have the opportunity to help define a still-growing field.
One way for students to determine what they want to do with an online AI degree or certificate is to consider the industry in which they would like to work. Nearly every sector is developing ways to incorporate AI and related technologies into their operations and products, including healthcare, business and finance, transportation, education, and more.
Numerous specializations exist within the AI field, which can lead to various career paths. Popular concentration options for AI include machine learning, software development, data science, and robotics. Students who have an interest in research and development should seek out programs that offer hands-on experience working with new technology and applications.
Prospective students should be mindful of the minimum level of education needed for various AI jobs, so they choose the appropriate degree or certificate program. Most entry-level positions will be available to those with bachelor’s degrees or post-secondary certificates, while advanced positions, including leadership roles, may require a master’s degree.
Career Outlook
- Computer and information research scientists — Design innovative uses for new and existing technology by studying and solving complex problems in computing for business, science, medicine, and other fields.
- Median annual salary: $145,080
- Projected employment growth (through 2032): 23%
- New jobs projected: 3,400 per year
- Data scientists — Use analytical tools and techniques to extract meaningful insights from data.
- Median annual salary: $108,020
- Projected employment growth (through 2032): 35%
- New jobs projected: 17,700 per year
- Mathematicians and statisticians — Analyze data and apply computational techniques to solve problems.
- Median annual salary: $116,440
- Project employment growth (through 2032): 30%
- New jobs projected: 3,500 per year
Find the Tools You Need to Get Started on Your Degree
There are many things to consider when preparing to enroll in a degree program. Should you take courses online or in person? How will you pay for your education? What if you already have college credits, but need to finish your degree? Intelligent.com has expert advice and resources answering these and other questions to help you get started on your degree.
- Are Online Degrees the Same as Traditional Degrees?
- How Much is Tuition for Online Colleges?
- Do I Qualify for Financial Aid?
How to Choose the Online Artificial Intelligence Degree That’s Right for You
Step 1: Choose your area of study
For a smooth college application process, a key first step is getting clarity on what you want from your AI degree program, based on your specific needs, wants, and career goals. From there, you can focus your search on programs that meet your specific criteria, such as curriculum, specialization options, internships, networking connections, and more.
This is also the right time to reflect on your logistical needs for an online degree program. Do you need an asynchronous program that will provide maximum flexibility or synchronous classes to maintain interaction and accountability. Will you enroll full-time or part-time? Do you want a fully remote or hybrid program?
With so many options available, getting specific about what you want right from the start will help make the next steps easier.
Step 2: Research schools and programs
This is where you’ll start looking for schools and programs that meet the criteria you established in step 1, and doing in-depth research.
Besides ensuring the schools and programs offer what you want, you’ll also want to confirm that any schools you’re considering are accredited. In the U.S., schools can have either regional or national accreditation. Both are valid, but regional accreditation is the more widely accepted type of accreditation, due to its higher standards of quality. Students who intend to transfer between schools or pursue graduate study are best served by attending a regionally-accredited institution, to ensure other schools will accept their credits and degrees.
Individuals looking at AI programs may also want to check for ABET accreditation. ABET is a nonprofit agency that accredits computing programs as well as other tech and engineering degrees. While not a requirement for employment, attending an ABET-accredited program denotes that the curriculum met the highest quality standards in the field.
Here are some questions you can ask during the research process to help you determine if the school is a good fit:
- What’s in the curriculum and how does that align with your interests and goals?
- Who are the faculty and what are their AI areas of expertise?
- What kind of in-person learning requirements, if any, does the program include?
- How do online students communicate with each other, faculty, and staff?
- What resources are available for online students, including academic and tech support?
- What’s the overall culture of the department and institution like?
To get answers to these questions, visit the school’s and program’s website or contact the admissions office. You can also follow schools, programs, and faculty on social media, attend virtual open houses, and request digital or print marketing materials.
Step 3: Prepare for applications and tests
As you’re researching schools, pay attention to application requirements and deadlines. If you’re considering multiple schools, it can be helpful to keep track of this information on a spreadsheet or calendar. Many online programs offer several start terms each academic year, while others only accept new students once or twice per year.
The specific materials you’ll need for your applications will vary between schools, but in general, applications consist of the following:
- Application form
- Official transcripts (high school transcripts for first-time freshmen, college transcripts for transfer and graduate students)
- Letter(s) of recommendation
- Personal statement
- Standardized test scores (SAT or ACT for first-time freshmen, GRE for graduate students)
It’s worth noting that schools are increasingly moving toward test-optional or test-blind procedures for standardized tests. Before taking these exams, confirm whether they’re required by any of the schools to which you’re applying.
For students applying to graduate programs, there are often additional requirements. This may include a specific undergraduate major, coursework, or professional experience. Many graduate programs also have minimums for undergraduate GPAs. Verify that you meet the minimum eligibility requirements for a program before applying.
Step 4: Select your program
At this point, you should have a clear idea of the programs to which you want to apply. There’s no “right” number of AI degree programs to apply to. Some students focus on one or two schools, especially if they’re looking for a specific concentration or curriculum, while others cast a wide net to improve chances of admission.
Be mindful of application deadlines, so you can ensure all your materials are submitted and received by due dates. Particularly for competitive programs, failing to meet deadlines can have a negative impact on your chances for admissions.
Step 5: Determine how you’ll pay for your degree
This is something you should be thinking about throughout your research process. Find out the costs of attending your online AI program, including tuition and fees, and what type of financial aid your school offers. You can learn more from the school’s financial aid department regarding costs and opportunities for scholarships, grants, discounts, and more.
At this point, if you haven’t already completed the Free Application for Federal Student Aid (FAFSA), you should do so. Schools use the FAFSA to determine eligibility for federal student loans as well as other types of aid. Completing the FAFSA will help students and families get a clarity on how much financial aid they can expect. Students should also research ways to get discounted or subsidized tuition. For example, many schools offer discounts to active-duty or veteran service members and their families. Individuals who plan to work while earning their degree can check if their company provides tuition assistance benefits. Many tech companies, including Amazon, Apple, and Oracle, offer tuition assistance to students studying relevant subjects.
Frequently Asked Questions About Online Artificial Intelligence Degree Programs
What are the admissions requirements for an online AI degree program?
Each AI degree program sets admissions requirements, so students should always check with a specific school or program to verify their eligibility. Additionally, admissions requirements vary by degree level. Associate and bachelor’s programs typically have fewer thresholds than graduate degrees, which may expect students to have specific coursework or professional experiences.
Generally speaking, to succeed in an AI degree program, students should have the following:
- Strong math skills, particularly in areas of linear algebra, probability, and statistics
- Familiarity with computer programming
- Basic understanding of algorithms and frameworks
- Analytical and critical thinking skills
- Problem-solving abilities
- Time management and organization skills
- Interest in collaboration
- Communication skills
What is the average cost of an online AI degree program?
The cost of an AI degree program depends on a few factors. For online students, the cost typically consists of tuition, school fees, technology (reliable computer and internet access), and books.
When it comes to tuition, the key factor is whether a school is public or private and, if attending a public school, whether the student resides in-state or out-of-state.
Tuition is typically lower at public universities, especially for in-state students. The National Center for Education Statistics (NCES) reports that in the 2020-21 academic year,
average tuition and fees for four-year undergraduate degrees was $9,375 for in-state students at public universities. Meanwhile, private school tuition for the same year averaged $32,825 at private schools. Non-resident public university students paid an average of $27,091 for tuition and fees. According to DataUSA, the median annual tuition for AI degrees is $10,037 for in-state students at public universities and $55,651 for private universities. However, this doesn’t indicate whether these are undergraduate or master’s degrees, which can also impact the cost of the degree.
How long does it take to complete an online AI degree?
Different degrees take different lengths of time to complete. For example, a bachelor’s degree, which requires a minimum of 120 credits, usually takes four years of full-time study. Meanwhile, master’s degrees, typically between 30-60 credits, can take 1-3 years to finish when enrolled full-time.
Students who enroll in programs part-time usually take longer to finish. Conversely, because of the flexibility of remote learning, many schools offer accelerated online programs. These programs compress coursework into a shorter timeline, allowing students to graduate faster. Another option is “4+1” programs that enable bachelor’s students to begin earning credit towards a master’s degree while still an undergraduate, which impacts the time it takes to complete multiple degrees.
How difficult is a degree in AI?
AI is a complex field that requires hard skills in computer science, mathematics, probability and statistics, and programming, as well as soft skills like analytical thinking, problem-solving, and communication. A student’s aptitude in these areas and commitment to their studies will determine how hard it is to earn an AI degree.
Online students, particularly those entering an online learning environment for the first time, should also be aware of challenges specific to remote learning. To succeed in an online program, students must be self-motivated, disciplined, organized, and comfortable taking the initiative if they struggle. Not having systems in place to stay on track with classes and assignments can add obstacles to successfully earning an online AI degree.
Is an online degree in AI worth it?
For students willing and ready to invest time and energy into their education, an online AI degree can have many benefits.
Earning an AI degree will prepare students for various career opportunities, including entry-level and senior positions, by equipping them with the skills and knowledge employers seek. Many in-demand, high-paying jobs, including artificial intelligence engineers, computer and information research scientists, and data scientists, require a bachelor’s or master’s degree.
Another benefit of online learning is that it makes earning a degree more accessible. With the number of AI degree programs in the U.S. still somewhat limited, attending an in-person program might mean being forced to move to a different location. However, with an online AI degree, students can participate from anywhere without disrupting their current lives.
Employers are increasingly accepting online degrees, particularly in light of shifts to online classes during the pandemic. Many AI jobs are remote. In these situations, students can use their educational experience to their advantage by demonstrating their self-motivation, time management, organization, and familiarity with remote work software.
Which degree is best for AI?
Students should seek an AI degree program based on their specific interests and what skills and experience they need for the career path they want to pursue.
Individuals entering the AI field may want to seek out a general AI or computer science degree program that will introduce them to foundational AI concepts and skills. These programs also offer exposure to a range of AI subfields that students may choose to pursue.
At the graduate level, programs are more focused, specializing in machine learning, robotics and automation, data science, and more. These programs are appropriate for students who have a more targeted idea of the type of AI work they want to do.
It can be helpful to review job postings in this field to understand what degrees and experience employers seek in AI job candidates.