computer deree online logo symbols as combination of CDO

a person is typing on a laptop and from the display the data is coming out in a blue shade with a AI In white shade written on it


In the age where artificial intelligence (AI) shapes our society, understanding and mastering this groundbreaking technology becomes indispensable. A Masters in Artificial Intelligence Online program offers an exceptional opportunity to delve into the heart of AI, preparing learners to lead the next wave of innovation.

This comprehensive course is designed to provide a deep understanding of AI concepts, techniques, and applications, ensuring you emerge as a skilled professional ready to tackle the challenges and opportunities of this rapidly evolving field. From machine learning and neural networks to AI ethics and beyond, the curriculum covers every essential area, tailored for professionals aiming to elevate their careers or pivot to this dynamic sector. 

Enrol in a Masters in Artificial Intelligence Online program and become an architect of tomorrow’s technology.

Our mission is to connect you with premier colleges and universities in the US that offer top-tier online Masters programs in artificial intelligence. Here, we understand the value of specialized knowledge and its power to shape futures for individuals and societies at large. 

Best Online Artificial Intelligence Masters Programs

Our guide showcases programs that stand out for their innovative curriculum, distinguished faculty, and strong industry connections. These institutions have been rigorously evaluated on factors such as academic excellence, technological resources, and student satisfaction, ensuring you receive a relevant and transformative education.

Whether you’re looking to advance in your current role or pivot to a career in AI, these master’s programs offer the depth of knowledge and hands-on experience you need to succeed. Discover the best online artificial intelligence masters programs today, and take the first step towards the future.

College NameTuitionGraduation rate
Duke University
103 Allen Bldg, Durham, North Carolina 27708
Johns Hopkins University
3400 N Charles St, Baltimore, Maryland 21218
The University of Texas at Austin
110 Inner Campus Drive, Austin, Texas 78705
Stevens Institute of Technology
Castle Point On Hudson, Hoboken, New Jersey 07030
University of San Diego
5998 Alcala Park, San Diego, California 92110
Drexel University
3141 Chestnut St, Philadelphia, Pennsylvania 19104
Illinois Institute of Technology
10 West 35th Street, Chicago, Illinois 60616
DePaul University
1 E Jackson Blvd, Chicago, Illinois 60604
Pennsylvania State University-World Campus
President’s Office 201 Old Main, University Park, Pennsylvania 16802

Source: Data Collected from Integrated Post Secondary Education Data System & University Data
***NA – Data Not Available

Most Affordable Online Masters Degree in Artificial Intelligence

In the era of innovation, the pursuit of knowledge has transcended physical boundaries, bringing world-class education right to your doorstep. Recognizing this shift, we’ve meticulously curated a comprehensive guide to the most affordable online Master’s degrees in Artificial Intelligence (AI), ensuring geographical constraints or financial barriers do not hinder your aspirations.

College NameTuitionGraduation rate
Florida Atlantic University
777 Glades Road, Boca Raton, FL 33431
Capitol Technology University
11301 Springfield Rd, Laurel, Maryland 20708
University of Cumberlands
6191 College Station Drive, Williamsburg, Kentucky 40769
Campbellsville University
1 University Dr, Campbellsville, Kentucky 42718
Colorado State University Global
585 Salida Way, Aurora, Colorado 80011

Source: Data Collected from Integrated Post Secondary Education Data System & University Data
***NA – Data Not Available

Duration for Masters in Artificial Intelligence Online

Mastering the intricacies of artificial intelligence (AI) has never been more accessible, thanks to the plethora of online programs tailored to fit students’ schedules and aspirations. As we delve into the expansive universe of AI through online education, a standard query emerges: How long does it take to complete a Master’s in Artificial Intelligence online?

The duration of these transformative programs typically ranges from 1 to 3 years, providing a flexible framework for both seasoned professionals and ambitious newcomers. Most institutions design their curriculum to accommodate the diverse pace of learners, offering full-time and part-time enrollment options.

The duration of achieving a Master’s in Artificial Intelligence online can vary. Yet, it remains deeply rooted in providing flexibility, world-class education, and a gateway to becoming an influential part of the AI revolution. 

Admission Procedure for Masters in Artificial Intelligence Online

Designed for aspiring AI professionals, an online Master in Artificial Intelligence blends cutting-edge curriculum, real-world applications, and the flexibility of online learning. Below, we break down the admission procedure, key requirements, associated costs, and the certification process, ensuring a clear path to elevating your expertise in AI.

Admission Steps:

  1. Fill out an online application on the university’s portal. Provide personal information, educational background, and a statement of purpose.
  2. Submit Academic Credentials: Attach transcripts from an undergraduate degree. Most institutions require a bachelor’s degree in computer science, mathematics, engineering, or a related field with a competitive GPA.
  3. Proof of Proficiency: If one is a non-native English speaker, evidence of English language proficiency (TOEFL, IELTS) is essential.
  4. Recommendation Letters: Submit two or three letters of recommendation from former professors or professionals familiar with academic or professional capabilities in a related field.
  5. Interview: Some programs may require a virtual interview to understand the learner’s motivation, commitment, and suitability for the program.

Admission Requirements:

 A bachelor’s degree in a relevant field with a minimum GPA (which varies by institution).

  • English language proficiency for non-native speakers.
  • Solid foundation in mathematics, programming, and statistics.
  • Relevant work experience or academic projects in AI or related areas can strengthen the application.


The cost of completing a Master’s in AI online varies between institutions but generally ranges from USD 26,000 to USD 82,000. Some universities offer scholarships, grants, or financial aid for eligible candidates, significantly reducing the financial burden.

Certificate Issuance:

Upon completing the program, graduates will receive an officially recognized Master’s degree in artificial intelligence. The dean’s signature and the university’s seal adorn the digitally issued certificates, guaranteeing worldwide acknowledgment of your accomplishment. The digital nature allows one to share credentials with prospective employers easily or for further educational endeavors.

Curriculum for Masters in Artificial Intelligence Online

The curriculum meticulously covers every corner of artificial intelligence to ensure learners are well-versed. 

Core Foundations & Theoretical Understanding:

Courses cover machine learning, neural networks, deep learning, and the ethical considerations inherent in AI deployment. Develop a robust understanding of AI principles to tackle real-world problems effectively.

Applied Machine Learning:

Transition from theory to application with coursework focusing on data mining, predictive analytics, and natural language processing. These classes emphasize practical skills, preparing one to deploy machine learning models that power everything from intelligent assistants to autonomous vehicles.

Robotics & Autonomous Systems:

Explore the cutting edge of AI technology. Learn the intricacies of robotics, sensor integration, and software development necessary to bring autonomous systems to life. This area blends theory with hands-on projects, offering insights into the challenges and rewards of creating intelligent machines.

AI Strategy & Ethics:

Understanding its strategic implementation and ethical implications becomes crucial as AI reshapes industries. Courses cover AI’s impact on society, ethical AI design, and strategies for responsible and effective AI deployment in business.

Natural Language Processing (NLP):

Explore how computers understand human language. From sentiment analysis to chatbots, this module prepares one to innovate in conversational AI.

AI in Business and Healthcare:

Discover how AI is revolutionizing industries, from business to healthcare. This specialized module equips learners to lead in the AI-driven economy by providing insights into AI applications in various fields.

Streams and Specializations Available for Masters in Artificial Intelligence Programs Online

As we dive into the array of specializations available in online Masters in AI programs, remember that the right combination could be the key to tapping into unprecedented opportunities in this rapidly evolving field.

AI and Machine Learning (ML): are a classical yet ever-evolving combination. AI provides the framework and ambition, while ML offers the tools and techniques to fulfill that ambition. The AI and ML combo is behind many cutting-edge innovations, from predictive analytics in finance to autonomous vehicles. Programs such as Stanford University’s online Masters in Computer Science specializing in artificial intelligence provide a solid foundation in AI and ML, setting the stage for graduates to become industry leaders.

AI and Robotics: Integrating AI with robotics opens a fascinating sphere where intelligent machines operate in the physical world. This specialization focuses on perception, decision-making, and the automation of tasks ranging from manufacturing to surgery. 

AI and Natural Language Processing (NLP): This specialization lies at the intersection of AI and linguistics, aiming to bridge human communication with machine understanding. NLP specialists work on translation services, voice-operated assistants, and tools that enhance accessibility for the visually impaired. 

AI and Cybersecurity: As our world becomes increasingly digital, the security of our data and systems has never been more crucial. Specializing in AI and cybersecurity involves using AI to predict, detect, and counteract cyber threats, making digital spaces safer for everyone. 

AI and Data Science: This specialization emphasizes using, analyzing, and managing vast data sets to inform and power AI algorithms. It’s ideal for those looking to harness the power of structured and unstructured data to drive decision-making processes. 

AI and Healthcare: This rapidly growing field uses AI to revolutionize patient care, diagnosis, treatment planning, and healthcare administration. From developing personalized medicine to predicting disease outbreaks, integrating AI into healthcare aims to make medical care more accessible, efficient, and effective.

Choosing the right specialization within an online Master in Artificial Intelligence program is a decision that can shape not only one’s academic journey but also one’s career trajectory. As learners consider their options, they should consider their passions, career goals, and the impact they want to make in the world.

Scholarship for Masters in Artificial Intelligence

Pursuing a Master’s in AI can lead to an exciting and lucrative career. However, the cost of higher education can be a significant barrier for many students. Fortunately, various scholarships are available to help reduce these financial burdens.

Types of scholarships

  1. University-Specific Scholarships: Many universities offer scholarships for their AI-related programs. These can be merit-based, need-based, or focused on underrepresented groups in the tech field.
  2. Corporate Scholarships: Tech companies often fund scholarships to foster talent in areas crucial to their business, including AI. These can come with internships or job offers upon graduation.
  3. Government and Nonprofit Scholarships: Governments and NGOs may provide scholarships to build capacity in critical tech areas like AI to boost their country’s competitiveness.
  4. Research Grants and Fellowships: Grants and fellowships are available for students interested in AI research. Research institutions, governments, or private foundations often fund these.
Postgraduate Scholarships at Western Sydney

International offers $6,000 annually towards tuition for up to two years (or 160 credit points) for selected Computer Science and Engineering international applicants.

The Bold360 Artificial Intelligence Scholarship Program

targeting US students with a 3.0 GPA or higher, awards $6,000 ($5,000 for tuition and $1,000 for books) to students who submit an outstanding essay on a given topic, fostering education in AI leadership.

The LastPass STEM Scholarship Program

offers $12,000 ($10,000 for tuition and $2,000 for books) to US students with a 3.0 GPA or above, pursuing or planning to pursue STEM degrees, based on an essay competition.


 collaborates with Windsor Fellowship and University College London to offer scholarships to MSc students in specific Computer Science fields, aiming to support women, students of African or Caribbean descent, and those from low-income households, thus promoting inclusive education in cutting-edge technologies.

Udacity and Intel®

provide the Edge AI Scholarship Program to individuals keen on learning about computer vision and deep learning models. After a preliminary course, 750 students will progress to a Nanodegree program focusing on the OpenVINO toolkit, offering practical experience with advanced AI technologies.

Georgia Institute of Technology Online Master’s in Computer Science Scholarship:

This scholarship is available to students in Georgia Tech’s Online Master’s in Computer Science program specializing in Artificial Intelligence. The scholarship amount varies, but it can cover up to the total cost of tuition. To be eligible, one must be a US citizen or permanent resident and have a solid academic record.

National Science Foundation (NSF) Graduate Research Fellowship:

This fellowship is available to US citizens and permanent residents in a master’s or doctoral science, engineering, or mathematics program. It provides three years of support, including a stipend, tuition, and research funding. To be eligible, one must have a solid academic record and be committed to pursuing a research career in these fields.

American Indian Graduate Center (AIGC) Fellowships

These fellowships are available to American Indian and Alaska Native students enrolled in a graduate program in any field. The fellowship amount varies, but it can cover up to the total cost of tuition. To be eligible, one must be an American Indian or Alaska Native student with a solid academic record.

Earning a Master’s in Artificial Intelligence can open the door to numerous career opportunities. While the cost of education can be high, many scholarships are available to help mitigate these expenses. By thoroughly researching and applying for scholarships for which one qualifies, one can take a significant step toward achieving one’s educational and professional goals in AI.

Finding Scholarships

1. University Financial Aid Office: Always check with the financial aid office of the universities, as they will have the most current information on available scholarships.

2. Scholarship Databases: Websites like Fastweb and the College Board’s scholarship search feature many scholarship opportunities, including those focused on AI.

3. Professional Associations: Organizations like the Association for the Advancement of Artificial Intelligence (AAAI) and the IEEE Computer Society offer or have scholarship information.

4. Corporate Websites: Companies with AI initiatives often have scholarship programs to support education in this field. Regularly visiting these websites can yield opportunities.

Application Tips

– Start Early: Many scholarships have deadlines well before the academic year. Give plenty of time to prepare the application.

– Customise the Application: Tailor the application to highlight how interests and goals align with the scholarship’s focus, especially for scholarships aimed at specific research areas within AI.

– Showcase Your Projects: If you have worked on any projects or research related to AI, be sure to include these in the application. They can significantly strengthen the case in your stride.

– Seek Recommendations: Letters from professors or professionals in the AI field who are familiar with one’s work can significantly enhance the application.

– Be Persistent: Don’t be discouraged by rejections. Many successful candidates apply for multiple scholarships before securing funding.

Why Go For A Career In Masters In Artificial Intelligence Online?

In the era of digital evolution, pursuing a career in Artificial Intelligence (AI) is not just a smart choice; it’s a leap into the future. The Masters in Artificial Intelligence Online offers unparalleled flexibility and accessibility, allowing one to tap into the opportunities of innovative technologies from anywhere on the globe. Here are some compelling reasons:

Transformative Career Opportunities

AI is reshaping industries, creating roles that demand a new kind of professional. Having a Master’s in AI is not just stepping into the job market but stepping ahead of it. This expertise is sought in various sectors, from healthcare, improving patient care through predictive analytics, to finance, where algorithmic trading is becoming the norm, not to mention the revolutionary impacts in robotics, automotive, and entertainment industries. The versatility of AI knowledge makes one a valuable asset across the board.

Job Titles and Basic Salary

Graduates can expect to dive into roles such as AI Engineer, Machine Learning Engineer, Data Scientist, Robotics Scientist, and more. According to industry reports, the average salary for AI professionals in the U.S. can range from $142,614 annually, depending on experience and specialization. This is a testament to the high demand and the rewarding nature of a career in AI.

Job TitleDescriptionAverage Salary (Source: Glassdoor, 2024)
Machine Learning EngineerDevelops, implements, and maintains machine learning models. Focuses on algorithm development, data analysis, and performance optimization.$1,52,768
Data ScientistCollects, analyses, and interprets data to extract insights and solve business problems. Utilises statistical methods, machine learning techniques, and data visualization tools.$1,57,008
AI EngineerDevelops systems that enable computers to understand and process human language expertise in linguistics, text analysis, and deep learning required.$1,54,964
Natural Language Processing (NLP) EngineerTransforms complex business data into actionable insights using AI and machine learning techniques. A strong understanding of data analysis and visualization tools is needed.$1,41,962
Computer Vision EngineerCreates algorithms and systems that allow computers to analyze and interpret visual data (images, videos). Requires knowledge of image processing, computer graphics, and deep learning.$1,66,731
Robotics EngineerDesigns, builds, and programs robots for various applications. Combines knowledge of mechanical engineering, computer science, and AI.$1,18,024
Business Intelligence DeveloperResearches new AI algorithms, theories, and applications. Publishes findings in scientific journals and contributes to advancements in the field.$1,09,924
Research Scientist (AI)Conducts research on new AI algorithms, theories, and applications. Publishes findings in scientific journals and contributes to advancements in the field.$1,42,433
Software Engineer (AI)Develops software applications that integrate AI functionalities. Requires coding skills and proficiency in specific AI libraries and frameworks.$1,40,832
Data Analyst (AI)Analyses data to identify patterns and trends, using AI tools to support decision-making. May contribute to building and evaluating machine learning models.$63,345

Industries Ready for AI Mastery

The beauty of AI is its application across diverse fields. Here are just a few industries eager for AI expertise:

1. Healthcare: Innovating patient treatment and healthcare administration.

2. Finance: Revolutionising trading, risk management, and fraud detection.

3. Automotive: Pioneering autonomous vehicles and safety enhancements.

4. Manufacturing: Transforming production lines through robotics and quality control.

5. Entertainment: Changing how we interact with media through recommendation systems and virtual reality.

on a screen there are multiple question marks linking each other and from behind the screen a man is touching on a question mark

What degree do you need for artificial intelligence

Primarily, degrees in Computer Science, Mathematics, or a specialised AI program are keys to this rapidly evolving field. These programs offer a foundation in algorithms, machine learning, data structures, and programming, crucial for excelling in AI. For those aiming to stand out, pursuing a Master’s or Ph.D. with a focus on AI-related research topics can catapult your expertise and opportunities to the forefront of innovation. 

Is Masters in AI worth it

Absolutely, pursuing a Master’s in Artificial Intelligence (AI) is a valuable investment in the future. As we stand on the brink of technological evolution, AI is becoming increasingly integral to every aspect of our lives, from healthcare to transportation, and beyond. This rapidly growing field promises a wealth of cutting-edge career opportunities. With a Master’s in AI, one is not just acquiring advanced knowledge and skills; but positioning oneself at the forefront of innovation. Employers across industries are in constant search for professionals who can navigate the complexities of AI, making this degree not just a piece of paper, but a gateway to a plethora of high-demand, lucrative roles. 

Are any specific technical skills or prerequisites needed for a Masters in Artificial Intelligence program?

Success in this program hinges on a robust foundation in certain key areas. A strong grasp of mathematics, especially in calculus, linear algebra, and statistics, is indispensable for understanding the algorithms that power AI. Programming expertise, particularly in languages like Python, which is widely used in AI development, enables one to transform theoretical knowledge into practical solutions. Knowledge of basic computer science principles and experience with machine learning frameworks can also significantly enhance one’s learning experience. While these skills are essential, a genuine curiosity and determination to delve into AI’s complexities will truly set a learner apart. This unique meld of technical proficiency and passionate inquiry prepares one to not only meet but exceed the demands of a Masters in Artificial Intelligence program.

Are there any alternatives for financial aid available to students enrolled in Master of Artificial Intelligence programs?

Yes, there are numerous alternatives to traditional financial aid for students enrolled in Master of Artificial Intelligence programs, opening a world of possibilities for ambitious learners. Aside from federal and institutional aid, scholarships specifically targeted at AI enthusiasts are offered by tech companies, non-profit organisations, and professional associations eager to support the next wave of innovators. Work-study opportunities within university labs or projects provide practical experience while funding education. Furthermore, competitive fellowships and grants are available, focusing on groundbreaking research in AI. Crowdfunding platforms and education-specific funding sources also offer a unique way to gather support based on your project or area of study. Exploring these diverse options can significantly alleviate financial burdens and pave the way for a successful career in artificial intelligence.

Can students from other countries apply to US master’s programs in artificial intelligence?

Yes, international students are welcomed to apply to U.S. master’s programs in Artificial Intelligence. The U.S. is a global leader in AI education, offering cutting-edge programs at prestigious institutions. Applicants typically need a relevant undergraduate degree, proof of English proficiency (TOEFL or IELTS), and may also require GRE scores. The application process also includes submitting academic transcripts, letters of recommendation, and a statement of purpose.

Can I pursue a Masters in Artificial Intelligence if my undergraduate degree is in a non-technical field?

Yes, one can pursue a Master’s in Artificial Intelligence (AI) even if one has an undergraduate degree in a non-technical field. Many institutions recognize the value of diverse perspectives and offer foundational courses to bridge the gap in technical knowledge. Passion, a willingness to learn, and a strong understanding of mathematical concepts are crucial. 

If I have an undergraduate degree in a different subject, is it still possible for me to transfer to a master’s program in AI?

Absolutely! Diverse backgrounds are often seen as a strength in the dynamic field of Artificial Intelligence (AI). Many master’s programs in AI are designed to welcome students from a variety of undergraduate disciplines, not just those from a computer science background. The key to a successful transition involves demonstrating a strong foundational knowledge in mathematics and programming, which can sometimes be addressed through prerequisite courses or self-study. Universities value the unique perspectives and problem-solving skills that students from non-traditional paths bring to AI. This interdisciplinary approach enriches the field, spurring innovation and creativity. 

How much can an artificial intelligence master’s degree graduate earn in employment and salary?

In today’s rapidly evolving job market, artificial intelligence (AI) is at the forefront of technological advancement, creating a surge in demand for skilled professionals. Graduates with a master’s degree in AI can expect lucrative career opportunities across various industries such as technology, healthcare, automotive, and finance. Salaries for AI master’s degree holders can vary widely based on factors like location, industry, and experience. However, in the United States, an average annual salary of approximately $1,54,964, with the potential to exceed as experience and roles in the field progress. This competitive compensation reflects the value and impact that AI specialists bring to the future of technology and business, making an AI master’s degree not only a wise educational investment but also a promising pathway to a rewarding career.

What abilities will I get while enrolled in an artificial intelligence master’s program?

Enrolling in an Artificial Intelligence (AI) Master’s program propels one into the vanguard of technological innovation, equipping learners with a spectrum of transformative skills. One can plumb deep into machine learning, neural networks, natural language processing, robotics and algorithms. Graduates emerge not just as coders, but as visionary technologists poised to lead the AI revolution.