Artificial Intelligence (AI) has already revolutionized many aspects of our daily lives, though most people have little understanding of what it is and how it works. As an offshoot of the field of computer science, AI is highly complex and constantly evolving, which is why employers need qualified experts who’ve completed graduate-level coursework in AI and related topics. This guide will help interested students looking for flexible, online Master’s in Artificial Intelligence degree programs.
|School Name||Program Name||More Info|
|Maryville University||Online Master of Science in Artificial Intelligence||program website|
|Maryville University||Online Post-Baccalaureate Certificate in Fundamentals of Artificial Intelligence||program website|
|Maryville University||Online Post-Baccalaureate Certificate in Machine Learning||program website|
|Maryville University||Online Certificate in Artificial Intelligence||program website|
|Campbellsville University||Online M.S. in Data Science and Artificial Intelligence||program website|
|Saint Mary’s University of Minnesota||Online Artificial Intelligence Certificate||program website|
|Saint Mary’s University of Minnesota||Online M.S. in Business Intelligence and Data Analytics: Artificial Intelligence focus||program website|
|Syracuse University||MS in Applied Data Science||program website|
|Southern Methodist University||Online Master of Science in Data Science - Machine Learning specialty||program website|
|George Mason University||Online Master of Science in Data Analytics Engineering - Machine Learning Engineering||program website|
Online Master’s in AI Rankings Methodology
To create our rankings of the Best Online Master’s Programs in Artificial Intelligence, the team here at MastersinAI.org came up with a weighted algorithm. We wanted to create a top 15 list that reflected real-world concerns. So we considered the following aspects:
- Quality: Schools with strong U.S. News & World Report rankings in AI, Computer Science, Engineering, and Statistics received an algorithmic boost.
- Cost: We compared the total program price to all other online AI programs and gave each school an individual affordability ranking.
- Results: We evaluated student completion data to see if the program delivered on its promises of graduating AI students. Any school with strong completions data merited a boost.
For the final ranking order, we combined all of these criteria. That means schools that achieved solid placements across all three categories ranked higher than schools that did well in just one area (e.g. affordability). In addition, all schools had to offer online master’s degrees that focused primarily on AI.
Use our list as a starting point. You may find a school ranked #10 is more applicable to your career goals & budget than a school at #1. But rest assured that all of them are dedicated to training AI experts in a format that’s accessible and workplace-friendly.
Best Online Master’s in Artificial Intelligence Degree Programs
Discover 15 top-tier schools with Online Master’s in Artificial Intelligence degrees! We scoured the country to find accredited online graduate programs that are devoted to AI. Each offering is unique. Some degrees are highly technical. Others are business-focused. Some are suited to career-changers. Others are designed for working engineers. Use our rankings to find a virtual program that fits your needs.
1. Northwestern University
Northwestern’s 100% Online MSDS with a specialization in Artificial Intelligence will get you up-to-speed in core data science & business concepts before you tackle more advanced AI topics. There are only two courses in the AI specialization—Natural Language Processing (NLP) and Artificial Intelligence & Deep Learning—but you can supplement your studies with a range of fascinating electives (e.g. Intelligent Systems and Robotics). You’ll also have the choice of a thesis or capstone project, where you can focus on a specific AI topic. For example, one student team teamed up with an AI start-up to predict the performance of frontline customer service agents. It’s an interdisciplinary degree for interdisciplinary thinkers.
Why Study AI Online at Northwestern?
Northwestern comes with excellent name recognition in the job market and an impeccable track record of quality. MSDS faculty in the School of Professional Studies consult with major companies on AI strategies, advise budding start-ups on Machine Learning, and even run their own training initiatives (e.g. Pragmatic AI Labs). The program is set up for working professionals, with flexible part-time scheduling and the choice of synchronous or asynchronous course sessions. Willing to relocate to Chicago for a year? Northwestern also offers a hybrid accelerated program that will give you access to on-campus career resources like its Immersion Week and industry networking events.
2. University of Texas at Austin
Affordable, focused & highly ranked—these are just three of the reasons why you should put UTA’s 100% Online MS in Artificial Intelligence (MSAI) on your shortlist. The university & edX have come up with a curriculum that explores every major element of AI. Think of subjects like Machine Learning (ML), deep learning, Natural Language Processing (NLP), and more. We love the fact that coursework includes practical case studies in ML and electives in key areas such as Ethics and Optimization. Keep in mind that there is no capstone or thesis. So you may wish to speak to the program coordinator about how you can create your own portfolio to show to employers.
Why Study AI Online at UTA?
UTA’s Online MSAI is the brainchild of its Department of Computer Science & Engineering (CSE) and Department of Statistics & Data Science (SDS). The CSE supports scores of relevant labs in AI and Machine Learning, including intriguing research on AI and Human Intelligence (HI). Meanwhile, over at the SDS, you’ll find a dedicated Machine Learning Laboratory with strong ties to the Institute for Foundations of Machine Learning (IFML). Have a look at the CSE faculty directory to explore the work & qualifications of your potential instructors. Many are doing fascinating things in the realms of intelligent robotics, deep reinforcement learning, and more.
3. Duke University
Online Master of Engineering – Artificial Intelligence for Product Innovation (Machine Learning Engineering OR Data Science Track)
Looking for an industry-focused qualification? Look no further than Duke’s Online Master of Engineering in AI for Production Innovation (MEng AIPI). This innovative part-time degree includes seminars with major AI leaders, a team-based capstone project with a company sponsor, and a summer internship. Coursework covers technical subjects (e.g. deep learning), operations & management issues, and even electives in ML Engineering or Data Science. It’s not a 100% online program—you will be expected to attend two week-long campus residencies—but you’ll be earning a tech degree from one of the most prestigious universities in the country.
Why Study AI Online at Duke?
We give Duke top marks for creating a degree that focuses on positive graduate outcomes and practical learning. Some MEng AIPI faculty have decades of professional experience in technical leadership roles; others are active in applied research initiatives such as Duke’s Intelligent Learning Lab and the Institute for Enterprise Engineering. As the name implies, this is an online degree for folks who are interested in real-world applications (e.g. designing AI-powered software). Over the course of two years, you’ll have plenty of opportunities to build a portfolio of AI & ML projects and use Duke’s career services to connect with potential employers.
4. Pennsylvania State University – World Campus
There’s no extra fat on Penn State’s 100% Online MPS in Artificial Intelligence. This streamlined degree is packed with technical coursework in AI, Natural Language Processing (NLP), deep learning, machine vision systems, ethics, and more. You’ll be allowed to choose three elective courses in data science or AI topics (e.g. reinforcement learning) and finish your program with an applied research project. It’s a program that may suit busy professionals & international students—coursework is asynchronous, which means there are no mandatory log in times.
Why Study AI Online at Penn State?
It’s hard to beat the qualifications of Penn State faculty for this master’s program. We spotted doctorates from strong schools, fascinating research interests, and plenty of independent accolades. Better yet, online MPS students are welcome to join student groups in AI and participate in AI & ML events. You may also wish to ask the program coordinator about how you can work on company-sponsored AI projects through the Linux Foundation® LF AI & Data Foundation. Penn State is an associate member, which means it has ties to major tech employers (e.g. IBM, Cloudera, SAS, etc.).
5. Johns Hopkins University
Pursue the Online MS in Artificial Intelligence at Johns Hopkins University and you’ll be earning a technical qualification that’s guaranteed to up your game. You’ll be expected to complete four rigorous courses in Algorithms, AI, Applied Machine Learning, and AI-Enabled Systems, as well as six electives in a wide range of advanced topics (e.g. Neural Networks, Advanced ML, Human Robotics Interaction, etc.). If you really want to dig deep and specialize, this is an excellent master’s program to consider. Other degrees in our rankings offer a limited number of electives or none at all.
Why Study AI Online at Johns Hopkins?
JHU isn’t messing around with quality—this degree was conceived with the help of the highly ranked Whiting School of Engineering and the university’s world-class Applied Physics Lab (APL). Have a look at the high-level interdisciplinary work that’s being done in the areas of Artificial Intelligence, Machine Learning, and Autonomy. We think it’s a particularly strong choice for working engineers & technical professionals. And although it’s expensive, tuition support is available through employer contribution programs and the Dean’s Fellowship.
6. Case Western Reserve University
Case Western’s highly technical Online MSCS: AI Depth Area is “customizable.” The university offers a Pathways Track for students who require training in computer science fundamentals and an Advanced Track. Once you’re enrolled, you’ll be able to focus on an AI depth area—this includes at least three graduate-level courses in subjects such as Machine Learning, Sequential Decision Making, Algorithmic Robotics, Statistical Natural Language Processing, and more. You can also opt to complete a course-only program or finish with a project or a thesis. Keep in mind that this online degree contains some synchronous elements—each course has ~50 minutes of live virtual sessions per week.
Why Study AI Online at Case Western?
Connections. The Case School of Engineering has ties to scores of corporate partners and many of its alumni end up working for top-tier companies such as Google, Amazon, IBM, and the like. If you’re interested in completing a project or thesis, have a look at the profiles of CS faculty who are currently working on AI & ML research. Thanks to these proactive faculty members, AI has seen a significant growth spurt at Case Western in the past few years. In 2022, the university acquired its own Artificial Intelligence SuperComputer (AISC). CS faculty are also active in the NSF-funded AI institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE).
7. University of Illinois at Chicago
Need to get your degree done & dusted quickly? UIC’s 100% Online MEng with an AI & Machine Learning Focus can be completed in one year. The program begins with a core of math fundamentals and business & engineering courses (e.g. Engineering Management, Innovation Tools & Methods, etc.) before digging into specific AI topics (e.g. ML, AI, Deep Neural Networks, and NLP). It’s a practical and speedy program. You won’t be able to choose any electives or complete a capstone project, but you will be schooled in a range of AI and Machine Learning tools & techniques.
Why Study AI Online at UIC?
UIC is a public Carnegie Research 1 institution with a well-funded College of Engineering. For example, the College subsidizes its own UIC Artificial Intelligence Lab (check out its projects) and a separate Natural Language Processing (NLP) Lab. You can learn more about your prospective professors by examining the bios of Online MEng faculty. Since this online master’s degree has an interdisciplinary feel, it might be a good fit for current engineers and technically-minded managers who want to gain a solid understanding of the field. You can attend an Information Session to learn if the program aligns with your career goals.
8. Stevens Institute of Technology
SIT’s technical & 100% Online MS in Applied Artificial Intelligence is hard-core. The goal is to train you for a career in any engineering field that requires advanced AI knowledge & skills. You’ll dive immediately into topics such as Applied Machine Learning, Big Data Analytics, Deep Learning, Control Theory, and Python. However, you can also swap any of the 10 courses with electives in a concentration of interest (e.g. Electrical Engineering, Computer Engineering, or Software Engineering). Think of it as the “Pick & Mix” of online master’s degrees.
Why Study AI Online at SIT?
Within SIT’s Department of Electrical and Computer Engineering (ECE), you’ll discover the Stevens Institute for Artificial Intelligence (SIAI)—an interdisciplinary research body that draws on the expertise of 100+ faculty members. Have a look at the dizzying array of AI projects that are currently in development and learn more about the AI Research Summer Fellowship Program. While you’re on the ECE site, check out the Sensing, Machine learning and Robotics Technologies Lab (SMARTLab). There’s plenty of scope for ML exploration as well.
9. Drexel University
Choose your own adventure with Drexel’s Online MS in Artificial Intelligence and Machine Learning. This convenient program is offered in a full-time or part-time plan of study, as well as an online or on-campus format. We like the fact that it includes three required electives in relevant focus areas (e.g. Applications of AI & ML), seven free electives in areas of your choosing, and a collaborative AI capstone project with an industry partner. You can even earn a series of skills-focused certificates along the way. It’s not quick—the full-time plan is at least two years—but it’s remarkably thorough.
Why Study AI Online at Drexel?
Drexel’s degree is housed within the College of Computing & Informatics (CCI), which has a sturdy history of educational quality, a diverse roster of corporate partners, and a growing footprint. CCI hired seven new faculty members in the Fall 2022 quarter. On the AI front, take a look at faculty research work in the realms of computer science (e.g. biologically inspired AI, Game AI, etc.) and human-centered computing. You may even wish to join the student-run Drexel Society of Artificial Intelligence (Drexel AI). Learn more about CCI initiatives related to AI.
10. University of San Diego
Applicants to this affordable Online MS in Applied Artificial Intelligence (AAI) come from a range of backgrounds—USD is willing to consider candidates from STEM and non-STEM fields. Coursework is heavy on AI and data science. In the first year, you’ll learn about the fundamentals of AI, Machine Learning, Neural Networks & Deep Learning, and Natural Language Processing. In the second, you’ll explore topics like the Internet of Things (IoT) and Applications of AI & Big Data. This 20-month degree culminates in a team-based capstone project & portfolio. All coursework is asynchronous; live sessions are optional.
Why Study AI Online at USD?
Examine the faculty bios to get a sense of your prospective teachers; many are currently working as industry experts in AI, ML, and data science. Generally speaking, USD’s Shiley-Marcos School of Engineering has a reputation for emphasizing interdisciplinary education and a commitment to the greater good. You’ll notice that the Online MS-AAI makes a point of including a course in Ethics in Artificial Intelligence. Folks who are interested in these realms should also check out the Center for Digital Civil Society (CDCS), which is interested in examining the social implications of AI.
11. Florida Atlantic University
Make AI your own with FAU’s Online MS in Artificial Intelligence. Once you’ve completed two fundamental courses in AI topics, you’ll be allowed to choose electives in any area of AI that takes your fancy. Think of topics like Data Mining & Machine Learning, Internet of Things (IoT), Reinforcement Learning, and more. This affordable master’s program is designed for working professionals, with 4-week and 8-week classes that can be tackled online or on-campus. The GRE exam may be waived based on industry work experience.
Why Study AI Online at FAU?
Commitment. In 2019, the College of Engineering & Computer Science received a grant to create the first NSF-funded Major Research Instrumentation (MRI) Artificial Intelligence and Deep Learning (AIDL) training & research lab in Florida. It also runs a separate Center for Connected Autonomy and AI. A solid number of the research labs in FAU’s Department of Electrical Engineering and Computer Science (EECS) are dedicated to AI topics and many EECS faculty are working on AI-related projects, including Human-Autonomy Interaction.
12. University of Michigan-Dearborn
UM-Dearborn’s Online MS in Artificial Intelligence can put you on the fast-track to a role in AI research & development or a leadership position within the industry. You’ll begin with foundational courses in AI & software engineering before branching off into a high-level concentration area (e.g. Computer Vision, Intelligent Interaction, Machine Learning, or Knowledge Management & Reasoning). You might wish to choose a “coursework-only” plan of study with additional electives or you could finish your degree with a capstone project or thesis.
Why Study AI Online at UM-Dearborn?
UM-Dearborn’s Department of Computer and Information Science (CIS) may not be as big as some of the other departments in our rankings, but it has its own Artificial Intelligence Research Lab (AIR) and active faculty members. While you’re investigating this degree, ask the Online MS program coordinator if the Dearborn Artificial Intelligence Research (DAIR) Center is currently working on any industry projects that might dovetail with your thesis or capstone interests. For example, UM-Dearborn has close ties to Michigan automobile manufacturers.
13. Southern Methodist University
There are no shortcuts with SMU’s Online MSCS with an Artificial Intelligence Specialization! All students are expected to take four courses in comp sci fundamentals like Computer Architecture and Operating Systems & System Software before progressing to the specialization. Once you’ve reached that point, you’ll take two mandatory courses in AI and Machine Learning in Python and two electives in topics of your choice (e.g. Advanced Data Mining, Neural Networks, Natural Language Processing & Internet Applications, etc.).
Why Study AI Online at SMU?
Anyone considering a job in the Dallas-Ft. Worth area should take a good hard look at SMU. This North Texas university is in close proximity to 24 Fortune 500 companies and a large number of new AI-focused startups. It even supports an AT&T Center for Virtualization and Intelligent Systems and Bias Examination Lab (ISaBEL). Within the ABET-accredited Lyle School of Engineering, you’ll also find the Department of Computer Science and its research projects in Applied Machine Learning, AI Application Domains, and Software Engineering.
14. University of the Cumberlands
UC is on a mission with its industry-focused Online MS in Artificial Intelligence (MSAI) in Business. In this short & affordable program, you’ll be immersed in AI applications for manufacturing, healthcare, financial services, risk management, and more. That means most of your professors will be drawn from the Department of Business Administration. The experience culminates in a capstone course that can take the form of an academic paper or practical project focused on a business challenge.
Why Study AI Online at UC?
Unlike master’s degrees that focus on developing AI applications, UC’s Online MSAI is designed for IT professionals who want to know how AI can help with business-related concerns. Think of aspiring logistics analysts, supply chain analysts, and more. That’s why it’s run by the Hutton School of Business. If you’re on the hunt for a challenging technical program, we recommend you consider some of the other schools in our Online AI rankings.
15. Arkansas State University
Online Master of Science in Applied Digital Technology with a Concentration in Artificial Intelligence and Machine Learning
Save tens of thousands in tuition with A-State’s Online MS in Applied Digital Technology – AI & Machine Learning. This 100% online program doesn’t come with the same name recognition or research credentials as the top schools in our rankings, but it’s a viable choice for future project managers, implementation analysts, and directors of process improvement. You’ll take four core courses in business fundamentals, four AI & Machine Learning concentration courses (e.g. Design & Development of AI), and three electives.
Why Study AI Online at A-State?
It’s ridiculously affordable. It’s short (as few as 12 months to complete). And it’s business-relevant. In tandem with your AI studies, you’ll be learning about Management Information Systems (MIS), project management, workflows, and more. A-State does have a Center for No-Boundary Thinking (CNBT), which is involved in some interdisciplinary research into AI and data analytics. But you’re more likely to be collaborating with faculty in the Griffin College of Business.
What Are Online Master’s in Artificial Intelligence Degrees?
AI refers to the ability of “smart” machines, including computers and devices, to do tasks that previously required human thinking skills. Your phone’s smart assistant is an example of this technology, which is being applied to virtually every sector imaginable.
Skilled AI workers are in high demand, but to qualify for a great career in the AI field, it’s important to hold substantial credentials. The most important credential is a Master’s in Artificial Intelligence, a major that is very conducive to distance learning. That’s why online AI degree programs have become such popular educational options.
Program curriculums will cover an array of AI subject matter, starting with prerequisite courses (statistics, programming, etc.) followed by core coursework (machine learning, algorithms, etc.) and generally a few electives (unmanned vehicles, robotics, etc.). A graduate-level AI degree is highly beneficial for job seekers and can put you ahead of the competition in a crowded job market. Opting to do a Master’s in AI online reduces degree completion time and removes barriers to access for those working full-time jobs or who otherwise need the flexibility of an online program.
What Will You Learn?
Master’s in AI Curriculum
A solid online Master’s in AI program, such as that offered by the Johns Hopkins Whiting School of Engineering, utilizes a solid course plan featuring usually 10 or so classes in total.
To be eligible for most graduate programs, students must first complete foundational prerequisite coursework, such as classes in:
- Data Structures
- Intro to Probability and Statistics
- Intro to Programming
- Linear Algebra and Its Applications
- Multivariable Calculus and Complex Analysis
These are just examples from the Hopkins program but should give you an idea of what to expect in terms of prerequisites. If a student has not completed sufficient prerequisite work, some programs will still allow provisional enrollment with full admission coming after they finish their prereqs.
Mandatory core classes build upon foundational undergraduate coursework and are substantially more challenging, covering advanced topics like:
- Algorithms for Data Science
- Applied Machine Learning
- Artificial Intelligence
- Creating AI-Enabled Systems
- Foundations of Algorithms
- Introduction to Machine Learning
The Hopkins program lists six available core classes options, with students required to take four core classes plus at least six electives. Some programs may require students to take all core classes.
A well-rounded Master’s in AI will offer a range of diverse electives for students to study in their areas of interest. Electives may include Cloud Computing, Natural Language Processing, Neural Networks, or Applied Game Theory, to name a few. Every program will offer its own list of electives and state the number required to be taken.
Core Skills You’ll Develop
Graduates of an online Master’s in AI degree program will develop high-demand skills that are usable in the job market, such as:
- Proficiency with relevant programming languages such as Python
- Understanding of machine learning and natural language processing
- Knowledge of computer vision algorithms
- Ability to design and develop creative AI software and systems models
- Ability to test software and systems to ensure or improve functioning
- Collaborative teamwork skills
- Advanced mathematics skills in algebra, calculus, probability, and statistics
- Knowledge of AI-related principles of physics, engineering, and robotics
In addition to general skills, students use electives to tailor to their particular path of study and area of specialization.
Admissions Requirements for Online AI Degrees
Each college offering an online Master’s in Artificial Intelligence has its own set of admissions requirements. Some schools require hopefuls to apply to the college or university and the graduate school separately.
Here are the general admissions requirements most programs cite:
- Must hold a bachelor’s degree or be completing the final term of undergraduate work
- Must have done undergrad work at an accredited school
- Must have a minimum Grade Point Average (GPA), often 3.0 or higher. The GPA requirement may or may not be cumulative; some schools only want to see that the applicant maintained a high GPA during the final terms of their bachelor’s program
- Official transcripts
- On occasion, Graduate Record Examinations (GRE) scores. Online programs generally don’t require GRE; however, students might opt to submit anyway, if it helps their application
Additional common application materials:
- Applicant’s resume or CV
- A statement of purpose answering a question prompt or outlining the student’s goals during program participation and beyond
- Letters of recommendation (often requested from previous teachers or those who can speak to the applicant’s work and ability to succeed in a rigorous graduate program)
- For international applicants, a TOEFL or IELTS score may be needed
Why Should You Get an Online Master’s in Artificial Intelligence?
In one way or another, Artificial Intelligence touches upon almost every aspect of our daily lives. Sometimes AI is obvious, such as when we engage with a website chatbot or use a search engine to pull up millions of results in under a second. Other times, AI is working so far behind the scenes we aren’t even aware, such as when it’s analyzing our social media behavior or navigating us around via a map app.
The point is, AI has become ubiquitous, a critical field with applications we’ve come to rely on and take for granted. And yet, the nation faces a domestic AI workforce shortage that could reach critical mass in the coming years if not addressed. It’s not an understatement to say that America’s future relies on sufficient numbers of qualified AI experts graduating from college and entering the business and governmental sectors where they are vitally needed.
Apart from serving the national good, earning a Master’s in AI offers several personal benefits. Chief among these may be the number of high-paying career prospects available for skilled AI workers. A few possible career choices and their related median pay are:
- Algorithm Specialist – $115K
- Artificial Intelligence Researcher – $124K
- Computer Scientist – $82K
- Data Analyst – $69K
- Natural Language Processing – $124K
- Engineering Consultants – $134K
- Robotics Engineer – $90K
- Software Engineering – $107K
- User Experience Designer – $115K
Keep in mind, the above-listed salaries are based on median reported incomes. Actual salaries may vary greatly depending on several variables, including who the employer is, the number of years of experience the worker has, any specialization skills or job requirements, and geographic location.
Job security is another strong reason to consider finishing an online Master’s in AI. The long-term outlook for career prospects seems promising, with the Bureau of Labor Statistics citing 22% growth in Computer and Information Research Scientists-related jobs over the coming decade.
How to Choose the Best Online Artificial Intelligence Program For You
There’s no shortage of schools offering online Master’s in AI degrees, so how do you decide which ones to apply to?
First, it’s important to find a reputable school that is accredited at the national or regional level. Keep in mind, just because a college has a stellar reputation doesn’t mean its computer science department is up to par. Programmatic accreditation from ABET is a sign that a school’s AI program, and the department running it, are top-notch.
Check out faculty bios, too. Read about faculty achievements, awards, and areas of specialty, such as computing, engineering, robotics, etc. An online AI program is only as good as its professors or instructors, so pay attention to who is teaching your online classes. If the catalog doesn’t say, reach out to the program and ask.
You’ll want a program that speaks to your interests and career goals. Are you more interested in AI or Machine Learning? Do you want to work with robots or autonomous vehicles? Think about your long-term interests and compare them to the curriculum and elective offerings.
Another crucial consideration is — what sort of resources and projects does the program offer? Larger institutions have greater research budgets to work on cutting-edge projects that students may participate in. They also have connections with recruiters looking to snag graduates to work in lucrative-paying jobs.
Naturally, if you’re checking out an article about online AI programs, you might not have the time or ability to meet on-campus requirements. However, if you live close to the school’s campus and don’t mind occasional in-person attendance, consider a hybrid program that fits your schedule.
Lastly, compare costs and make decisions based on how much you can afford or secure funding for through scholarships, grants, loans, or other financial aid sources.
What Can You Expect From an Online AI Degree Program?
Students who enroll in an online Master’s in AI degree program can expect a rigorous but rewarding experience that will prepare them for great career opportunities with strong long-term outlooks.
As with any college program, students will “get out of it what they put into it,” meaning the more you apply yourself, the more knowledge and skills you’ll acquire. The goal should be not just to get good grades but to become a subject matter expert ready to enter the job market, qualify for a promotion, or launch an entrepreneurial startup.
How Do Online AI Programs Differ From Their On-Campus Counterparts?
The evolution of online learning programs has enabled students to obtain the same caliber of education through distance learning as they can through in-person attendance, in most cases.
Artificial Intelligence coursework is especially suitable for online learning. However, on-campus classes allow for in-person experiences with teachers and peers that remote learning can not 100% duplicate. Meanwhile, every student has a different learning style, making online programs more feasible for some and less for others.
What Skills Should You Master Before Applying to an Online AI Program?
An online graduate-level AI program requires ample foundational preparation in the form of undergraduate prerequisite courses. Such courses may include topics such as Data Structures, Probability and Statistics, Programming, Linear Algebra, and Multivariable Calculus.
Each program will list its own mandatory prerequisite courses. In addition, practical hands-on experience in coding is very useful.