Written By - Bob Litt

Edited By Arlene Ward

Review & Contribution By Dr. Kristi Pratt

Artificial Intelligence (AI) transforms how we live and work, becoming a critical tool for businesses and organizations in various industries. Pursuing a Master’s in Artificial Intelligence degree program can provide individuals with the necessary skills and knowledge to thrive in this exciting field. The online Master’s in Artificial Intelligence program gives students an in-depth understanding of AI concepts, techniques, and algorithms. Students learn to design and implement AI-based solutions, develop intelligent systems, and analyze complex data sets. The program covers topics such as machine learning, natural language processing, computer vision, robotics, and more.

Masters in Artificial Intelligence Online

Table Of Contents

Featured Online Programs

Southern New Hampshire University

PROGRAM: Online Masters Degrees

Southern New Hampshire University is a private, nonprofit, accredited institution with more than 3,000 on-campus students and over 60,000 online students, making us one of the fastest-growing universities in the country. Founded in 1932, we’ve been relentlessly reinventing higher education ever since and have gained national recognition for our dedication to helping students transform their lives and the lives of those around them.

We’re proud to provide affordable, accessible education that students can pursue on our 300-acre campus in Manchester, NH, over our innovative online platform or at our regional centers in Manchester, Nashua, Portsmouth and Salem, NH, and Brunswick, ME.

SNHU has earned the GetEducated.com Best Buy and Best of Business – Best Online Degree awards and is consistently ranked as a top Military Friendly® School by G.I Jobs®.

The Best Master’s in Artificial Intelligence Online Programs

When selecting the best universities for AI master’s, several factors should be considered, including the offered courses, program duration, research areas, focus on research, awards, and job prospects. Many top graduate schools for artificial intelligence provide customized courses to meet student’s specific requirements and knowledge needs. When evaluating the rankings of Master’s in Artificial Intelligence programs, The OMC teams used a comprehensive methodology that considered a range of elements, such as the curriculum’s quality, knowledge acquisition, the associated expenses, and the program’s alignment with specific areas of specialization. A Master’s degree in AI and machine learning online is for students who find it challenging to go to graduate schools and learn the subject. Below is the list of the best programs that give the flexibility one needs:

<a href="https://www.onlinemasterscolleges.com/masters-in-artificial-intelligence-online/">Master's in Artificial Intelligence Online</a>

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College Name & AddressTuitionGraduation Rate
Steven Institute of Technology
Castle Point On Hudson, Hoboken, New Jersey 07030
Johns Hopkins University
3400 N Charles St, Baltimore, Maryland 21218
Colorado State University
102 Administration Building, Fort Collins, Colorado 80523-0100
Lewis University
One University Parkway, Romeoville, Illinois 60446
Drexel University
3141 Chestnut St, Philadelphia, Pennsylvania 19104
Illinois Institute of Technology
10 West 35th Street, Chicago, Illinois 60616
University Of Illinois, Urbana-Champaign
601 E John Street, Champaign, Illinois 61820
Nova Southeastern University
3301 College Ave, Fort Lauderdale, Florida 33314
Depaul University
1 E Jackson Blvd, Chicago, Illinois 60604
Stanford University
Stanford, California 94305

Source – Integrated Post Secondary Education Data System & University Data
*Tuition rates are for in-state and per year. Program specific rates may apply.
**NA – data not available

Other Important Non-Degree Artificial Intelligence Courses

Institution NameProgram Name
Massachusetts Institute of TechnologyArtificial Intelligence: Implications for Business Strategy
NVIDIA Deep Learning InstituteHands-on training in Artificial Intelligence
Columbia UniversityMicroMasters Program in Artificial Intelligence via edX
Stanford UniversityArtificial Intelligence Graduate Certificate

What’s the Difference Between AI and Machine Learning?

AI refers to the broader discipline of creating intelligent machines that can simulate human intelligence. It encompasses various techniques and approaches to enable computers to perform tasks that typically require human intelligence, such as understanding natural language, recognizing objects, and making decisions. AI systems can be designed to operate in a rule-based manner or to learn from data.

On the other hand, Machine Learning is a specific subset of AI that focuses on developing algorithms and models that allow computers to learn and make predictions or decisions based on data. ML algorithms are designed to automatically learn from patterns and insights in large datasets without being explicitly programmed. It involves training models on labeled data and using statistical techniques to make predictions or uncover patterns in new, unseen data.

In essence, AI is the broader concept that aims to create intelligent machines, while Machine Learning is a specific approach within AI that involves training models to learn from data. Machine Learning is a critical component of many AI systems and has contributed to significant advancements in areas such as image recognition, natural language processing, and recommendation systems.

What Master’s in Artificial Intelligence Online Programs Entail

An online degree in AI provides a comprehensive understanding of technology and its application in creating artificial intelligence. The program covers subjects such as engineering, robotics, logical principles, programming, and intelligence. Through online learning, students gain extensive knowledge of machine learning and develop skills to create and program AI projects.

Curriculum and Skills You’ll Gain

Artificial Intelligence, a highly scientific field, requires dedication, training, and focus to mimic the human brain using machines and solve complex problems. The coursework and experience needed for AI involve mathematics, science, and computer science-related topics. Here are some typical AI master’s courses:

Algorithm Design and Analysis: This course explores creating and evaluating efficient algorithms for solving computational problems. Students learn to design, analyze, and optimize algorithms, gaining essential skills for tackling complex problems in computer science, data science, and various technology-related fields.

Computer Vision: This course is focused on teaching students the principles and techniques for enabling machines to interpret and understand visual data from the real world. Topics include image processing, object recognition, and deep learning, empowering students to develop applications such as image analysis, facial recognition, and autonomous navigation.

Intelligent Interaction: “Intelligent Interaction” is a course that explores human-computer interaction in the context of artificial intelligence. Students learn to create systems capable of understanding and responding to human input, including natural language processing, speech recognition, and user interface design. This course equips students to develop interactive AI applications and interfaces.

Machine Learning: “Machine Learning” is a foundational course in artificial intelligence where students delve into algorithms and techniques that enable computers to learn from data and make predictions or decisions. Topics include supervised and unsupervised learning, neural networks, and applications from recommendation systems to autonomous vehicles, providing essential skills for AI practitioners.
Knowledge Management and Reasoning: “Knowledge Management and Reasoning” is a course centered on effectively organizing, representing, and using information. Students learn to develop systems that store, retrieve, and reason over vast amounts of data, aiding decision-making and problem-solving. This course is vital for AI professionals working on knowledge-based applications and expert systems.

Upon completing this program, students can expect to gain the following skills and learning outcomes:

  • Proficiency in developing and implementing machine learning algorithms and models.
  • Knowledge and skills in designing and working with neural networks for complex tasks.
  • Understanding of algorithms and techniques for processing and analyzing human language.
  • Ability to work with image and video data, extracting meaningful insights using computer vision techniques.
  • Skills in collecting, analyzing, and interpreting large datasets to derive actionable insights.
  • Expertise in programming languages such as Python, Java, or others commonly used in AI development.
  • Capability to design and implement algorithms to address complex problems and optimize processes.
  • Awareness of ethical considerations and responsible AI practices in development and deployment.
  • Competence in working with large-scale datasets and distributed computing frameworks.
  • Skills to manage AI projects, including planning, execution, and collaboration with multidisciplinary teams.

Degree Types

After completing a bachelor’s degree, pursuing a Master’s in Artificial Intelligence becomes a postgraduate option within this field of study. This collaborative branch of science provides knowledge on programming, mechanical devices, and sensory proxies previously exclusive to humans. Depending on the program, the Master’s degree may offer specializations in various topics. The primary degree type for a Master’s in Artificial Intelligence is a Master of Science (MS). Here is a brief overview of this degree:

Master of Science (MS)

With AI’s extensive advancement and growth, systems can now reason and respond to complex situations. The Master of Science (MS) degree focuses on creating new AI systems and acquiring knowledge of human environments where these machines and systems can be deployed.

Master’s Degree in Artificial Intelligence and Robotics

New concepts like artificial life with robotics, neural computation, machine learning, and all the concepts of AI.

A Master’s degree in Robotics and Artificial Intelligence aims to provide individuals with the understanding and skills to design and implement concepts related to artificial intelligence and robotic systems. The program emphasizes interdisciplinary skills essential for managing complex projects and their impact on society. Throughout the program, students will explore various multi-faceted concepts, including designing and developing advanced knowledge-based and multi-agent software systems, robotic systems, computer animation systems, video systems, and more. This knowledge equips graduates to enter diverse industries, possessing skills applicable to service and industrial applications, safety and security, space, entertainment, environmental sectors, surveillance, research and development for technology companies, etc.

A Master’s in Robotics and Artificial Intelligence allows individuals to strategically plan, supervise, design, implement, and engage in multifunctional tasks across different sectors, working within interdisciplinary teams. Many universities incorporate advanced concepts of Robotics and Artificial Intelligence as a combined subject in their curriculum. The following is a list of universities offering such programs:

The University of Michigan Dearborn1

University of Michigan Dearborn offers a 30-credit hour curriculum that provides students with a thorough foundation in artificial intelligence, with a choice of four specialized concentration areas: (1) Computer Vision, (2) Intelligent Interaction, (3) Machine Learning, and (4) Knowledge Management and Reasoning.

Lewis University2

Lewis University offers an MS in Computer Science with a concentration in Artificial Intelligence that contains several courses related to Robotics, and the program is entirely online.

Master’s Degree in Artificial Intelligence and Machine Learning

A degree in Artificial Intelligence and Machine Learning allows individuals to learn and delve into various fields such as fundamental Mathematics, structural and modern Machine Learning, foundational concepts of Artificial Intelligence, and more.

For a solid foundation in Artificial Intelligence, opting for a Master’s program in Artificial Intelligence and Machine Learning is the ideal choice. Throughout the program, students gain essential skills and extensive knowledge in AI, machine learning, computer science, and software development. Before enrolling in this program, having a technical understanding of the significance of this course in enhancing skills and building a successful career is beneficial.

Online Master’s programs in Machine Learning and Artificial Intelligence encompass a wide range of topics, including programming, software development, artificial intelligence, data science, applied artificial intelligence, machine learning, and domain-specific applications. This comprehensive approach allows students to explore each discipline and gain practical experience. Here is a list of universities that offer a combination of Artificial Intelligence and Machine Learning programs:

Drexel University3

Drexel University offers a Master of Science (MS) in Machine Learning and Artificial Intelligence Program that is 100% online.

John Hopkins Whitening School of Engineering4

John Hopkins Whitening School of Engineering offers a Master’s in Artificial Intelligence program that is 100% online.

Colorado State University5

 CSU offers an MS in Artificial Intelligence and Machine Learning that is 100% online.

Specializations for AI Students

If students want to create computer programs that enable them to make decisions, reason data, and communicate with humans, they have chosen the right degree – a Master’s in Artificial Intelligence. Being a multi-disciplinary area of study, many specializations can be selected in combination with AI. For example, one of the most happening and high-in-demand combinations is AI and Machine Learning (ML), or AI and Robotics. Typically, Machine Learning and Robotics are taught as single subjects or specializations. However, while pursuing an AI degree, it is best to opt for a combined specialization to enhance the magnitude of one’s skills. Here are a few specializations that students in master’s in artificial intelligence can opt for.

Area of FocusDescriptionCareers This Concentration Prepares For
Natural Language Processing (NLP)This specialization within artificial intelligence focuses on enabling computers to comprehend, interpret, and generate human language. NLP applications span chatbots, sentiment analysis, language translation, and information extraction.– NLP Engineer – Language Model Researcher – Chatbot Developer
Computer VisionThis specialization is dedicated to developing algorithms and models that allow machines to interpret and understand visual data. It encompasses image recognition, video analysis, and object tracking.– Computer Vision Engineer – Image Processing Specialist – Robotics Engineer
Reinforcement LearningReinforcement Learning focuses on training students to make sequential decisions through interaction with an environment. It’s used in robotics, autonomous systems, and game-playing.– Robotics Engineer – Game AI Developer – Autonomous Systems Engineer
AI Ethics and Responsible AIThis specialization addresses ethical, social, and moral considerations in artificial intelligence. It mitigates biases and ensures AI systems’ fairness, transparency, and accountability.– AI Ethics Officer – Responsible AI Developer – AI Policy Analyst
AI in Business and FinanceThis specialization harnesses artificial intelligence to transform decision-making in the corporate and financial sectors. It involves using AI for risk assessment, algorithmic trading, fraud detection, and automation.– AI Business Analyst – Financial AI Strategist – Algorithmic Trader

Other Important Non-Degree Artificial Intelligence Courses

In addition to pursuing a formal degree in Artificial Intelligence (AI), various non-degree courses can offer valuable knowledge and skills in this rapidly evolving field. These courses cater to individuals who may not have the time or resources to commit to a full degree program but still aim to enhance their understanding of AI concepts and applications. Non-degree AI courses are designed to be accessible, flexible, and focused, allowing learners to delve into specific topics of interest or acquire practical skills through hands-on projects and case studies. Reputable institutions, online platforms, and industry experts provide these courses, ensuring high-quality content and up-to-date insights. Whether a working professional seeking to upskill, an aspiring AI practitioner, or simply curious about the potential of AI, these non-degree courses can serve as a valuable resource to deepen understanding and proficiency in the field. Here are a few examples:

Institution NameProgram
Massachusetts Institute of Technology6Artificial Intelligence: Implications for Business Strategy
edX7Applied AI
Harward University8Computer Science for Artificial Intelligence
NVIDIA Deep Learning Institute9Hands-on training in Artificial Intelligence
Stanford University10Artificial Intelligence Graduate Certificate

Graduation Timeline

The graduation timeline for a Master’s in Artificial Intelligence (AI) can vary depending on whether one pursues the program part-time or full-time and the specific requirements of the institution offering the program. The typical duration for full-time online AI programs is 1.5 to 2 years. This allows students to complete the required coursework, projects, and additional requirements within a condensed timeframe.

Full-time programs often require a higher level of commitment, as students are expected to dedicate a significant portion of their time to studying and completing assignments. Part-time online AI programs offer more flexibility, allowing students to balance their studies with other personal and professional commitments. The duration of part-time programs can range from 2 to 4 years, depending on the number of courses taken per semester and the individual’s pace of study.

Accelerated AI Programs

Accelerated online Master’s courses in Artificial Intelligence (AI) provide students with a unique opportunity to advance their expertise in this rapidly evolving field from the comfort of their own homes. These programs are designed to offer a condensed yet comprehensive curriculum, allowing students to earn their degrees in a shorter timeframe compared to traditional on-campus programs. Online course delivery methods, tuition costs, financial aid options, and admission requirements should also be carefully examined. Additionally, students should seek reviews and testimonials from current and former students to gain insights into the program’s quality and effectiveness.

Choosing the right accelerated online Master’s program in AI requires thorough research and a clear understanding of one’s career goals and academic interests. It’s a transformative opportunity to gain specialized knowledge and skills, opening doors to exciting career prospects in the dynamic world of artificial intelligence.

Admission Requirements for Master’s in Artificial Intelligence Online Programs

Artificial Intelligence is advancing into the future by integrating with subjects like Machine Learning, Robotics, Big Data, and more. Whether one is a student or a professional, individuals can participate in this journey by enrolling in a master’s program in Artificial Intelligence. The following are the admission requirements necessary for pursuing a master’s in artificial intelligence programs:

  • Official transcripts of all graduate and undergraduate courses
  • Application form and fees
  • GRE scores
  • Transcripts from undergraduate degrees
  • Letters of Recommendation
  • Statement of Purpose

Master’s in Artificial Intelligence Online No GRE Programs

The Graduate Record Examination (GRE) is a standardized test commonly required for admission to many master’s programs in the United States. However, there has been a growing trend of colleges waiving the GRE requirement entirely. This trend has been further accelerated by the pandemic, with some schools making the GRE optional for the current and upcoming academic years. As a result, several institutions offering online master’s programs in artificial intelligence have also opted to waive the GRE requirement. Some institutions that provide online artificial intelligence master’s include:

Accredited Programs

Accreditation is essential in determining the quality and adherence to learning standards of degree programs offered by universities or colleges. There are two types of accreditation: regional and national. Accrediting agencies evaluate programs based on specific criteria to ensure they meet established standards of excellence.

For the Master’s in AI Program, choosing institutions that have received accreditation from recognized agencies is crucial. These accreditations validate the quality and rigor of the AI programs, ensuring they meet industry standards and provide valuable education in the field of artificial intelligence. By selecting accredited programs, students can have confidence in the credibility and value of their education and training. Here are some of the institutions that accredit Master’s in AI Programs:

  • Artificial Intelligence Board of America14 
    ARTiBA accreditation is a flagship agency that helps universities, colleges, and programs to reach benchmark quality in learning, teaching, and researching Artificial Intelligence and Machine Learning.
  • ABET15
    ABET accredits computer and engineering programs that meet the quality standards of the profession for which that program prepares graduates.

Here are the primary regional accrediting agencies in the United States:

Free Master’s Courses in AI

The demand for skills in Artificial Intelligence (AI) and Machine Learning (ML) surpasses the available supply. Accredited free master’s programs, specifically in AI, are unavailable, but reputable institutions provide free courses where students can access previous lecture materials and acquire the necessary knowledge. These courses offer skills comparable to online students, although a master’s degree in AI and ML won’t be earned. Here is a list of top sources providing the best free AI courses to learn this valuable skill and enhance career prospects:

CourseArtificial Intelligence and Machine Learning16
Provided byedX
DescriptionMachine Learning is the foundation for today’s most captivating data analysis careers. Students will explore various models and methods, applying them to real-world scenarios, such as identifying trending news topics, constructing recommendation systems, ranking sports teams, and mapping the movements of film zombies.
CourseMidjourney 101: Unleash AI for Unique Image Generation17
Provided byUdemy
DescriptionMidjourney 101: Unleash AI for Unique Image Generation is an exciting free course that introduces participants to the world of AI-powered image creation. Discover the principles and techniques behind generating one-of-a-kind visuals using artificial intelligence. Explore creative possibilities and gain valuable skills in this engaging course, ideal for enthusiasts, artists, and anyone intrigued by the intersection of technology and art.
CourseArtificial Intelligence and Machine Learning in Business18
Provided byAlison
DescriptionThe demand for artificial intelligence skills spans various industries and roles. Notably, the IT sector, finance, and computer-related professions might require AI skills most, but this is not always the case. Artificial intelligence (AI) imitates human cognitive functions, impacting nearly every sector and individual. Thus, this course refreshes computer professionals or newcomers intrigued by AI. Beginning with an AI overview, we then delve into machine learning (ML) and deep learning (DL), both subsets of AI.
CourseMedTech: AI and Medical Robots19
Provided byFuture Learn
DescriptionIn this course, participants will gain insights into the nature of robots and delve into human-robot interaction (HRI) within the healthcare domain. Challenges in healthcare robot design will be uncovered, and the innovative solutions proposed by MedTech scientists will be examined. Through case studies, the significance of regulations in ensuring the safe deployment of robots and AI in healthcare will become evident. Additionally, the course will elucidate the journey of successfully introducing a product to the market. Further exploration will encompass the application of artificial intelligence in surgical practices, enhancing diagnostic accuracy, advancing exoskeleton technology, and optimizing patient care.

How to Pay for Your Master’s in Artificial Intelligence Online Degree

AI and Machine Learning are at the forefront of technologies and learning requirements. Some universities offer online programs for the convenience of students or professionals looking to enhance their skills. Many universities design their programs to make education affordable and accessible to everyone. They ensure enough information access and payment options like Employer reimbursed tuition, student loans, fellowships, grants, financial aids, and more. Here are a few examples of funding master’s in artificial intelligence programs

Graduate Assistantships

Graduate Assistantships offer graduate students financial support in exchange for part-time work related to research, teaching, or administrative duties. These positions provide valuable experience and often include tuition waivers.


Internships offer students practical work experience in their field of study, fostering skill development and industry exposure. Typically, short-term internships bridge academic learning and professional application, enhancing career readiness.

Student Loans

Student loans are financial instruments that enable students to fund their education. Often offered with favorable terms, these loans help cover tuition, living expenses, and other educational costs, with repayment typically beginning after graduation.

Work-Study Programs

Work-study programs provide students part-time employment opportunities on or off campus while pursuing their education. These programs offer financial aid, fostering skill development and easing the burden of educational expenses.
Read the best financial aid guide to learn about financial aid and eligibility criteria every student should know.


Many enthusiasts are keen for options that would ease their pursuit of knowledge in the happening skillset – Artificial Intelligence and Machine Learning. Scholarships are the channel that helps a passionate and deserving student to enroll in the Master’s program. Below are some scholarships for students pursuing Artificial Intelligence degrees:

Simplr Artificial Intelligence and Technology Scholarship20

Simplr is an organization that provides e-commerce companies with customer service services. Simply would like to support and encourage students in technical fields by providing a scholarship for those attending an undergraduate or a graduate degree in Computer Science, Mathematics, or Information Technology. Students should write an essay on Artificial Intelligence and Machine Learning, The Internet of Things (IoT), or BlockChain Technology.

Award Amount: $7,500 

Deadline: Varies

Google Lime Scholarship21

The Google Lime Scholarship Program supports students with disabilities pursuing degrees in computer science or related fields. Recipients receive financial assistance, mentorship from Google, and networking opportunities. The program aims to promote diversity and inclusion in the tech industry.

Award Amount: $10,000 

Deadline: April every year

Association for the Advancement of Artificial Intelligence22

The Association for the Advancement of Artificial Intelligence (AAAI) offers scholarships to support students pursuing studies or research in artificial intelligence. These scholarships aim to foster talent and innovation in AI-related fields, providing financial assistance and recognition to exceptional students and contributing to advancing artificial intelligence research and applications.

Award Amount: Varies

Deadline: December every year

Career Paths and Average Salaries for AI Graduates

Artificial Intelligence is transforming expertise that is proving efficient and leveraging the productivity of many sectors. The demand for the skill is higher than the supply of talent. Many companies are extensively adapting to AI and Machine Learning concepts for better productivity and efficiency. While looking for the business to grow, they actively search for expertise in the same area. Some top respondents for these talents are Apple Computer Inc., Accenture and PricewaterhouseCoopers, J.P. Morgan Chase &Co., and more. Here are some examples of jobs in the field:

OccupationAverage Annual SalaryJob Growth (up to 2032)Job Description
Machine Learning Engineer23$125,014No Data AvailableBuilding and managing programs for machine learning projects
Data Scientist24$103,50035% (much faster than average)Collect, analyze, and interpret large complex datasets by leveraging both machine learning and predictive analytics
Big Data Engineer25$96,427No Data AvailableBig Data Engineers use large sizes of data and process the data to find trends. They use parallel computing across distributed systems to process the data that is very big.
AI Research Scientist26$132,327No Data AvailableAI Research scientists use their in-depth AI knowledge to create computer perception systems and graphical models and set up natural language processing systems.

Certifications and Licensing for AI Graduates

Certification formally recognizes one’s skills matching the required standards. In contrast, licensing is an official permit granted by an authorized agency, confirming eligibility to utilize one’s skill set for personal or professional purposes. Both certification and licensing empower individuals to apply their expertise effectively. Several agencies provide AI certification and licensing options. Below is a list of reputable AI certification and licensing programs: 

Professional Certificate Program in Machine Learning & Artificial Intelligence 27

This Certification by MIT provides the best AI and ML knowledge, preparing students with academic and real-time proficiency to enhance organizational performance.

Artificial Intelligence Engineer Certification28

For all career aspirants in AI, this Certification by the Artificial Intelligence Board of America (ARTiBA) gives a complete AI curriculum.

The Certified Artificial Intelligence Professional (CAIP)29

The Certified Artificial Intelligence Professional (CAIP) certification by GAQM(Global Association of Quality Management) is a globally recognized credential that validates professionals’ knowledge and skills in artificial intelligence. It covers topics such as machine learning, natural language processing, and deep learning. CAIP certification showcases expertise in AI technologies and can boost career opportunities in the field.

Responsible AI Licenses (RAIL)30

The licenses RAIL provides are for developers interested in using AI technology for an accountable purpose. The licensee is equipped with a source code and end-user license that they can use in their AI software and restrict the use.

Additional Resources for Master’s in Artificial Intelligence Online Students

Being part of a community with peers in the same field can be highly motivating and inspiring. Finding individuals or groups who can understand and engage with skills and ideas is natural. To stay updated with the latest developments in the field of AI, professionals can utilize shared forums, associations, communities, conferences, exhibitions, and other platforms. These provide opportunities for AI professionals to share and discuss ideas, fostering collaboration and growth within the industry.

Association for the Advancement of Artificial Intelligence 31

AAAI aims to promote research in and responsible use of artificial intelligence. AAAI also aims to increase public understanding of artificial intelligence, improve the teaching and training of AI practitioners, and provide guidance for research planners and funders concerning the importance and potential of current AI developments and future directions

Partnership on AI 32

Partnership on AI conducts research, organizes discussions, shares insights, provides thought leadership, consults with relevant third parties, responds to questions from the public and media, and creates educational material that advances the understanding of AI technologies, including machine perception, learning, and automated reasoning.

Security Industry Association 33

SIA supports non-regulatory approaches that encourage AI research and development and allow security professionals to harness new capabilities that make security and life safety systems more effective.

International Joint Conferences on Artificial Intelligence (IJCAI) 34

The International Joint Conferences on Artificial Intelligence (IJCAI) is a non-profit corporation established in California in 1969 to advance scientific and educational endeavors related to Artificial Intelligence. IJCAI organizes conferences where cutting-edge scientific findings in AI are shared and disseminated through proceedings, books, videos, and other educational materials. These conferences, held biennially in odd-numbered years, serve as premier international gatherings for AI researchers and practitioners. Participating in IJCAI conferences provides AI students with invaluable opportunities to stay updated on the latest research, network with experts, and gain insights into the forefront of AI advancements.

FAQs About Master’s in Artificial Intelligence Online Programs

Is it worth doing a master’s in artificial intelligence?

There are compelling reasons to pursue a master’s degree in artificial intelligence. It provides individuals with valuable expertise in a highly sought-after field, leading to promising career opportunities and increased earning potential. Furthermore, given the rapid advancements in AI, obtaining a master’s degree ensures staying abreast of the latest developments, enhancing professional reputation, and enabling meaningful contributions to cutting-edge research and innovation in the field.

Is AI hard to study?

Do you need to know coding to do AI?

What is the average salary for someone with a master’s in AI?

Which master’s program is better: AI, machine learning, or data science?

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