Masters in Artificial Intelligence Programs in the USA: Top 20

1 Artificial Intelligence Management

Georgetown University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations9,136,615

The Master's degree in Artificial Intelligence Management at Georgetown University equips students with the knowledge and expertise needed to navigate the rapidly evolving landscape of AI technology. This course covers essential topics such as AI ethics, data management, machine learning, and the strategic implementation of AI in various sectors. Students will engage in real-world case studies and hands-on projects that allow them to apply theoretical concepts to practical scenarios. The program structure typically includes core courses, elective modules, and a capstone project. Core courses provide foundational knowledge in AI concepts and management principles, while elective modules allow students to specialize in areas of interest, including AI policy, innovation management, or data analytics. By studying this program, students will develop a unique skill set that combines technical AI capabilities with management expertise. Graduates will emerge prepared to lead AI initiatives, drive data-driven decision-making, and ensure that AI systems are implemented ethically and effectively within organizations. Studying in the United States, particularly at a prestigious institution like Georgetown, exposes students to a vibrant tech ecosystem and opportunities for networking and collaboration.

From the programme record

• Data Analytics Consultant
• Machine Learning Engineer
• Technology Operations Manager
• Business Intelligence Analyst

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2 Artificial Intelligence and Machine Learning (STEM, online), MEng

George Washington University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations6,690,613

The Master of Engineering (MEng) in Artificial Intelligence and Machine Learning at George Washington University is designed to equip students with the advanced knowledge and skills necessary to succeed in the rapidly evolving field of AI and ML. This course covers a wide array of topics including data mining, natural language processing, deep learning, and robotics, empowering students to tackle complex problems using innovative technologies.The program structure is flexible, allowing students to tailor their learning experience to align with their individual career goals. Core modules focus on algorithm design, statistical analysis, and ethical implications of AI technologies, while elective options let students dive deeper into specific areas of interest. Over the course of their studies, students engage in real-world projects, providing them with hands-on experience that is highly valued in the job market.Studying in the United States offers unique benefits, as students have access to cutting-edge research institutions and industries heavily invested in technology innovation. The practical applications of AI and ML are being explored in various sectors such as healthcare, finance, and transportation, and the skills gained from this program position students to be at the forefront of these advancements.

From the programme record

• Machine Learning Engineer
• Business Intelligence Analyst

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3 Data Science and Artificial Intelligence

Florida International University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations3,631,304

The Master's Degree in Data Science and Artificial Intelligence at Florida International University is crafted to equip students with the necessary skills to excel in the rapidly evolving fields of data analysis and AI technologies. The course encompasses a comprehensive curriculum that integrates fundamental concepts of statistics, machine learning, data mining, and big data analytics. Students engage in hands-on learning through projects that utilize real-world data to solve complex problems.The typical structure of the program includes a blend of theoretical coursework and practical applications, promoting a deep understanding of both the technical and ethical dimensions of data science. Core subjects include data visualization, data warehousing, and artificial intelligence methodologies. Students also participate in collaborative group projects, allowing them to work on industry-related challenges and gain team-oriented skills.By studying in the United States, particularly at Florida International University, students benefit from a multicultural environment, access to advanced research facilities, and opportunities for networking within the tech industry. This diverse backdrop fosters innovation and a global perspective on solving today's data-driven challenges.

From the programme record

• Machine Learning Engineer
• Business Intelligence Developer

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4 Artificial Intelligence, M.S.

Saint Louis University · St. Louis

• DeliveryOn campus
• Study modeFull time
• Starts2 years
• Research citations3,784,936

Students in SLU's artificial intelligence degree program engage in the theory of artificial intelligence (AI) and machine learning (ML) and in applying AI/ML in practice, including a culminating research thesis or team-based capstone project. Students also consider important questions regarding the impact of AI on society, implicit bias that may result from AI systems, and the ethical development and deployment of technologies.

Entry requirements, as the university states them

• Demonstrate English Language Proficiency
• Proof of financial support must include:A letter of financial support from the person(s) or sponsoring agency funding the time at Saint Louis University
• A letter from the sponsor's bank verifying that the funds are available and will be so for the duration of study at the University

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5 Business Analytics and Artificial Intelligence

The University of Texas at Dallas

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations3,709,730

The Master's degree in Business Analytics and Artificial Intelligence at The University of Texas at Dallas equips students with the necessary tools to harness the power of data and artificial intelligence in business decision-making. The curriculum is designed to provide a comprehensive understanding of data analysis, machine learning, and predictive modeling, thereby positioning graduates at the forefront of the digital transformation in various industries. Students engage in hands-on experiences using the latest technologies and methodologies to gain practical insights into data-driven strategies.The program typically encompasses core courses in analytics, statistical methods, and AI techniques, coupled with elective courses that allow students to tailor their education to specific industries or interests. The collaborative environment encourages teamwork and innovation, fostering skills that are crucial in today's data-centric landscape. Additionally, students work on real-world projects that enhance their analytical capabilities and provide a platform for applying theoretical concepts.Located in Texas, a hub for technology and innovation, students benefit from proximity to numerous leading companies and startups that leverage data analytics and AI.

From the programme record

• Business Intelligence Analyst
• Machine Learning Engineer

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6 Business Analytics and Artificial Intelligence

University of Texas at Dallas

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations3,709,730

The Master's Degree in Business Analytics and Artificial Intelligence at the University of Texas at Dallas equips students with essential skills for leveraging data analytics and AI technologies in business contexts. This program combines theoretical knowledge with practical application, ensuring that students understand the dynamic intersection of data-driven decision-making and advanced technologies. The curriculum offers courses on data mining, machine learning, statistical analysis, and big data, providing a comprehensive understanding of the analytic tools and techniques crucial for modern businesses.Throughout the program, students engage in collaborative projects that reinforce their learning through real-world applications, integrating business concepts with advanced analytic techniques. Coursework may include topics such as predictive modeling, data visualization, and AI ethics, preparing students to tackle complex business challenges. The structure facilitates a blend of individual study and teamwork, promoting critical thinking and problem-solving skills.Studying this program in the United States, particularly in the vibrant state of Texas, offers students exposure to a variety of industries and networking opportunities.

From the programme record

• Business Intelligence Developer
• Business Analytics Manager
• Machine Learning Engineer

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7 Actuarial Science, Artificial Intelligence and Information Systems, M.I.S.

Georgia State University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations3,544,874

The Master’s program in Actuarial Science, Artificial Intelligence, and Information Systems at Georgia State University offers a comprehensive blend of theoretical knowledge and practical skills essential for the evolving job market. This interdisciplinary course integrates actuarial principles with cutting-edge artificial intelligence techniques and robust information systems methodologies. Students will explore diverse topics, such as risk assessment, data analytics, machine learning, and financial modeling, equipping them with the necessary tools to understand and manage complex data environments. The typical structure of the program includes core modules focusing on actuarial modeling, AI applications in finance, big data analytics, and systems design. Furthermore, students will engage in hands-on projects, collaborative learning, and potentially internships, allowing them to apply their knowledge in real-world scenarios. This practical experience, combined with theoretical understanding, prepares graduates to tackle challenges in various industries with authority and confidence. Graduating from this program in the United States provides international students with unique advantages, such as exposure to groundbreaking research and access to a vast network of industry connections.

From the programme record

• Business Intelligence Analyst
• Consultant in Financial Services

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8 Masters Computer Science and Artificial Intelligence Degrees

University of North Texas

• DeliveryOn campus
• Study modeFull time
• Duration5-6 years
• Research citations3,193,307

The combined Bachelor of Science and Master of Science program in Computer Science and Artificial Intelligence builds from an undergraduate Computer Science degree into graduate coursework through an AI graduate track. Students study programming concepts related to AI, learn to identify and implement AI applications to solve problems, and practice creating and using AI systems. The program also includes analysis and application of AI concepts in a chosen field of interest, plus understanding business needs and the AI job market. Courses are delivered on campus at Discovery Park, a research facility with academic laboratories, offices, and classrooms, served by a free shuttle. The estimated time to complete the combined degree is 5-6 years, with 153 credit hours. Students can specialize in machine learning, biomedical engineering, or autonomous systems. Graduate students may receive teaching and research assistantships, which include a monthly stipend and may qualify students for in-state tuition rates, along with tuition and fee support for many students. Foundations of Computing

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9 Artificial Intelligence

University of Maryland, Baltimore County

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations2,246,824

The Master's Degree in Artificial Intelligence at the University of Maryland-Baltimore County offers an in-depth exploration of the principles and applications of AI technologies. The program covers a wide range of topics including machine learning, natural language processing, computer vision, and robotics. Students engage in both theoretical and practical aspects, ensuring a comprehensive understanding of how AI can be utilized to solve real-world problems. The course structure is designed to blend foundational AI knowledge with hands-on experience. Students will work on various projects that challenge them to apply their skills in realistic scenarios, often collaborating with industry partners. The curriculum is frequently updated to include the latest advancements and trends in technology, ensuring graduates are well-prepared for the dynamic field of AI. In addition to technical skills, students will also develop critical thinking, problem-solving, and project management skills, all essential for a successful career in AI. With access to state-of-the-art facilities and resources, students have the opportunity to conduct cutting-edge research under the guidance of experienced faculty members. Studying AI in the United States offers unique advantages, including exposure to a diverse academic community and proximity to tech hubs.

From the programme record

• Machine Learning Engineer
• Information Systems Manager

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10 Artificial Intelligence for Business

University of Baltimore

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations2,167,588

The Master's Degree in Artificial Intelligence for Business at the University of Baltimore provides students with comprehensive knowledge and skills to harness AI technologies for business innovations. This program covers a range of topics such as machine learning, data analytics, and AI strategy. Students will engage in hands-on projects and real-world case studies that demonstrate the application of AI in various business contexts. The curriculum is structured to offer both theoretical foundations and practical skills. Core courses typically include AI programming, data mining, and business intelligence, while electives allow students to explore specific areas such as ethical AI, natural language processing, and AI-driven marketing strategies. This blend of coursework prepares graduates to effectively implement AI solutions in their careers. Students in this program will gain critical analytical and problem-solving skills, as well as an understanding of how AI can enhance decision-making in businesses. Studying in the United States provides an opportunity to experience a dynamic business environment, access to innovative technology hubs, and networking with industry leaders, making it an attractive place for international students to advance their education.

From the programme record

• Machine Learning Engineer
• Business Intelligence Manager
• Operations Research Analyst
• Product Manager for AI Solutions

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11 Business Analytics and Artificial Intelligence (MS)

The University of Texas at Rio Grande Valley

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations1,350,877

The Master of Science in Business Analytics and Artificial Intelligence at The University of Texas Rio Grande Valley equips students with essential skills that merge the realms of data analysis and intelligent algorithm design. This interdisciplinary program covers a wide array of topics, including data mining, machine learning, business intelligence, and predictive analytics. Through practical projects and case studies, students gain hands-on experience and learn how to interpret vast amounts of data to drive decision-making in business contexts.The course structure is thoughtfully designed to ensure a comprehensive understanding of both the theoretical foundations and practical applications of business analytics and AI. Students will engage in group work, individual research, and seminars that promote critical thinking and collaboration. Key skills developed during this program include statistical analysis, programming proficiency, and strategic problem-solving, which are crucial for effectively managing data-driven projects.Studying in the United States, particularly in Texas, offers a unique opportunity to immerse oneself in a vibrant business ecosystem known for its technological advancements and entrepreneurial spirit.

From the programme record

• Business Intelligence Developer
• Machine Learning Engineer

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12 Applied Artificial Intelligence

Clark University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations970,546

The Master's degree in Applied Artificial Intelligence at Clark University provides an interdisciplinary approach to understanding and applying AI technologies across various domains. The program covers essential concepts such as machine learning, deep learning, natural language processing, and robotics, equipping students with the knowledge to tackle real-world challenges using AI solutions. Students engage in hands-on projects, working with actual datasets and collaborating with industry partners to gain practical experience.The curriculum typically includes core courses, elective subjects, and a capstone project, allowing students to specialize in areas that align with their interests and career goals. Skills gained include programming expertise, data analysis, critical thinking, and ethical implications of AI technologies. The blend of theoretical knowledge and practical application prepares graduates to meet the growing demands of the AI industry.Studying in the United States offers students access to a thriving tech ecosystem that is at the forefront of innovation. Clark University not only provides a supportive academic environment but also opportunities for networking and collaboration with some of the top professionals and organizations in the field of artificial intelligence.

From the programme record

• Machine Learning Engineer
• Business Intelligence Developer
• Consultant in AI Solutions

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13 AI in Business and Analytics

University of New Haven

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations472,958

The Master's degree in AI in Business and Analytics at the University of New Haven focuses on integrating artificial intelligence technologies into business practices and decision-making processes. This program delves into data analytics, machine learning, and the ethical implications of AI in the corporate world. Students will engage with real-world case studies, enhancing their understanding of how AI can drive efficiency, improve customer experiences, and create competitive advantages.The course typically encompasses modules in data mining, predictive modeling, and business intelligence. Students will also acquire hands-on experience with industry-standard tools and platforms, ensuring that they are well-prepared for the workforce. The curriculum is designed to foster critical thinking and problem-solving skills, making graduates valuable assets in any organization.Studying in the university's country provides students with exposure to a thriving technology ecosystem and dynamic business environment. The diverse academic community encourages collaboration and knowledge exchange, preparing students to thrive in a global marketplace.

From the programme record

• Business Intelligence Analyst
• Machine Learning Engineer
• Consultant in AI Implementation
• Operations Research Analyst

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14 Applied Artificial Intelligence

Purdue University Northwest

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations341,283

The Master's degree in Applied Artificial Intelligence at Purdue University Northwest is designed to provide students with a comprehensive understanding of AI technologies and their applications across various industries. The curriculum covers fundamental concepts in machine learning, data mining, natural language processing, and neural networks. Students engage in hands-on projects that not only enhance their theoretical knowledge but also develop practical skills that are highly sought after in the job market.This program typically includes core coursework along with electives that allow students to tailor their education according to their interests. Subjects may include cognitive systems, AI ethics, robotics, and advanced data analytics. Through collaborative projects, students also learn to work in diverse teams, adapting to the multifaceted nature of real-world AI challenges.Studying in the university's country provides students with access to a vibrant technology sector and innovative research opportunities. Engaging with industry professionals through internships and networking events can be invaluable for career advancement. Students are encouraged to participate in research initiatives that align with their areas of interest to deepen their knowledge and experience.

From the programme record

• Machine Learning Engineer
• Software Developer in AI Applications
• Business Intelligence Analyst

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15 Artificial Intelligence and Entrepreneurship

Meharry Medical College

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations321,540

The Master's degree in Artificial Intelligence and Entrepreneurship at Meharry Medical College focuses on the intersection of cutting-edge technology and innovative business practices. Students will explore essential topics such as machine learning, neural networks, data analytics, and their applications in the business environment. This program is designed to equip students with the skills needed to succeed in an increasingly data-driven economy.The course structure typically includes a blend of theoretical knowledge and practical application, emphasizing hands-on learning through projects, internships, and collaboration with industry professionals. Core modules might cover entrepreneurship strategies, AI technologies, and business ethics, preparing students to drive innovation in their future careers.Throughout the program, students will develop critical problem-solving skills, strategic thinking, and a deep understanding of how to leverage AI technology for entrepreneurial ventures. Studying in this culturally rich country provides international students with insights into diverse markets and innovative business solutions.

From the programme record

• Machine Learning Engineer

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16 Artificial Intelligence and Cybersecurity Graduate Certificate

University of West Florida

• DeliveryOn campus
• Study modeFull time
• Duration9 months (estimated)
• StartsOctober
• Research citations309,845

The Artificial Intelligence and Cybersecurity Graduate Certificate at the University of West Florida is an online graduate certificate focused on applying artificial intelligence to cybersecurity. Students take CAI 6950 - Artificial Intelligence Capstone and choose two additional courses from CTS 5129 - Certified Information Systems Security Professional (CISSP), CAI 6803 - Deep Learning for Cybersecurity, and CAI 6828 - Artificial Intelligence Enabled Software Development.Learning includes hands-on projects, real-world scenarios, and a culminating AI capstone project for solving cybersecurity challenges using advanced AI techniques. The program is delivered through the UWF Center for Cybersecurity and AI, with guidance from expert faculty. It provides skills to apply AI, machine learning, and deep learning to identify, analyze, and mitigate cybersecurity threats. CAI 6950 - Artificial Intelligence CapstoneCTS 5129 - Certified Information Systems Security Professional (CISSP)CAI 6803 - Deep Learning for CybersecurityCAI 6828 - Artificial Intelligence Enabled Software Development

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17 Artificial Intelligence

Pittsburg State University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations269,491

The Master's Degree in Artificial Intelligence at Pittsburg State University offers a comprehensive exploration of the principles, techniques, and applications of AI in the modern world. Students will engage deeply with topics such as machine learning, natural language processing, robotics, and computer vision. The program is designed to equip learners with the skills necessary to tackle real-world challenges using AI technologies, preparing them for leading roles in an evolving job market. Typically structured over two years, the curriculum includes a blend of theoretical education and practical experience through projects and research opportunities. Coursework encompasses various aspects of AI, including data mining, algorithm design, and ethical implications of AI technologies. As students progress, they will have the chance to specialize in particular areas of interest, enhancing their expertise and employability. (Country's name) is home to a thriving tech industry and cutting-edge research institutions, making it an ideal location for studying Artificial Intelligence. The collaborative environment, access to industry leaders, and a vibrant academic community provide invaluable networking and learning opportunities. By studying at Pittsburg State University, students will gain insights into how AI is shaping the future across diverse sectors.

From the programme record

• Machine Learning Engineer
• Business Analyst for AI Solutions
• Product Manager for AI Systems

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18 Artificial Intelligence, M.S.

Dakota State University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations226,390

The Master of Science in Artificial Intelligence at Dakota State University is designed for students eager to dive deep into one of the most transformative technologies of our time. This program covers a wide array of topics ranging from machine learning, natural language processing, and robotics to data mining and ethical considerations in AI deployment. The comprehensive curriculum equips students with both theoretical knowledge and practical skills essential for a successful career in AI.Students will engage in hands-on projects that simulate real-world challenges and learn to develop innovative AI solutions. The program also focuses on collaborative learning environments, encouraging teamwork and problem-solving skills essential for today’s tech landscape. The course is structured to include a mix of core subjects, elective options, and a capstone project, fostering a balanced skill set.Studying in the U.S. offers the advantage of being at the forefront of technological innovation and research. Dakota State University is known for its state-of-the-art facilities and strong ties with industry leaders, providing students with unique networking opportunities. By studying in this dynamic environment, students are well-positioned to become leaders in the AI field.

From the programme record

• Machine Learning Engineer
• Business Intelligence Analyst
• Software Developer specializing in AI

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19 Master of Science Applied Artificial Intelligence Machine Learning

Oklahoma City University

• DeliveryOn campus
• Study modeFull time
• Research citations208,384

Oklahoma City University offers an online Master of Science in Applied Artificial Intelligence & Machine Learning. Students focus on deep learning techniques and their applications in business, including neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs). The program also covers generative AI, with an emphasis on using large language models (LLMs) for business applications. The program is organized as a 30-credit-hour course of study delivered through asynchronous online study. Learning includes hands-on projects and case studies, using popular deep-learning frameworks. Coursework includes Data Analysis for Business Decisions, Ethical, Societal and Legal Environment of Business, Programming for Data Scientists, Data Engineering, Big Data & Cloud Computing, Forecasting, Predictive Analytics, Applied Machine Learning I and II, and Generative AI for Business Applications. ECON 5313 Data Analysis for Business DecisionsMGMT 5703 Ethical, Societal and Legal Environment of BusinessIT 5113 Programming for Data ScientistsIT 5213 Data EngineeringIT 5613 Big Data & Cloud ComputingIT 5413 ForecastingIT 5513 Predictive AnalyticsIT 5223 Applied Machine Learning IIT 5233 Applied Machine Learning IIIT 5243 Generative AI for Business Applications

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20 Artificial Intelligence

Roosevelt University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations163,991

The Master's in Artificial Intelligence at Roosevelt University offers a comprehensive curriculum designed to equip students with advanced skills in AI technology and its applications. Students will delve into key areas such as machine learning, data analytics, computer vision, and natural language processing. The program emphasizes both theoretical foundations and practical implementation, enabling students to approach AI challenges with innovative solutions. The typical structure of the program combines core courses with elective options, allowing students to tailor their learning experience based on their interests and career aspirations. As a part of the course, students will participate in hands-on projects, case studies, and collaborative work with industry partners, fostering a rich learning environment. By studying in the dynamic tech hub of the United States, students will benefit from exposure to cutting-edge research and development in the AI field. The diverse cultural landscape of the country also promotes global perspectives on technology, preparing graduates for international careers.

From the programme record

• Machine Learning Engineer
• Business Intelligence Analyst
• Software Developer with AI Specialization

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