Bachelors in Artificial Intelligence Programs in the USA: Top 20

1 Artificial Intelligence

Carnegie Mellon University

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations17,727,847

Carnegie Mellon University’s Artificial Intelligence Bachelor of Science is built for students who want to develop AI systems and make decisions using large amounts of data. The curriculum is heavy in computer science, math, statistics, computational modeling, machine learning, and symbolic computation. Students also take courses in ethics and social responsibility to support responsible use of their work. Coursework combines technical study with ethics and social responsibility. Students focus on how to build machines that can make decisions and enhance human capabilities. The program also frames AI as work that addresses human problems, with preparation for fields such as health care, transportation, and education.

Entry requirements, as the university states them

• 2 years Chemistry, Biology or Computer Science

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2 Artificial Intelligence

Rice University

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations10,963,903

The Bachelor's Degree in Artificial Intelligence at Rice University delves into the rapidly advancing field of AI, encompassing a wide range of topics including machine learning, natural language processing, robotics, and computer vision. Students engage with foundational theories and practical applications through a robust curriculum designed to blend both theoretical knowledge and hands-on experience. This program typically covers a variety of core subjects such as algorithms, data structures, and human-computer interaction, along with elective courses that allow students to specialize in areas of interest. The structure of the program provides opportunities for collaborative projects, research initiatives, and internships, which are critical for career preparation in this dynamic field. By studying at Rice University, located in a diverse and technologically vibrant environment, students will benefit from access to cutting-edge research facilities and strong industry connections. They will develop essential skills, such as critical thinking, problem-solving, and technical expertise, which will prepare them for a successful career in the growing AI sector.

From the programme record

• Machine Learning Engineer
• Natural Language Processing Engineer
• Business Intelligence Analyst

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3 Artificial Intelligence

Case Western Reserve University

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations17,257,367

The Bachelor's Degree in Artificial Intelligence at Case Western Reserve University offers a comprehensive curriculum that delves into the principles and applications of AI technologies. This course covers a wide array of topics including machine learning, data mining, neural networks, natural language processing, and robotics. Students will gain a firm understanding of the theoretical foundations of AI while also engaging in practical applications that solve real-world problems.The program is structured to provide a balanced mix of core AI courses and electives, allowing students to tailor their education to their interests. Courses are taught by experienced faculty members who are actively involved in cutting-edge research, providing students with insights into the latest advancements in the field. Alongside traditional lectures, the program encourages hands-on learning through projects, labs, and internships, enhancing the learning experience.Graduates of this program will develop essential skills in programming, critical thinking, and problem-solving. The interdisciplinary nature of the course also means that students will learn to collaborate across various fields such as health care, finance, and engineering.

Entry requirements, as the university states them

• High school diploma or equivalent
• Strong performance in mathematics and science courses
• Relevant extracurricular activities or projects in technology or programming
• IELTS: Overall score of 6.5 with no single band lower than 6.0
• TOEFL: Minimum score of 80 on the internet-based test

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4 Artificial Intelligence (Science)

University of Hawaii System

• DeliveryOn campus
• Study modeFull time
• Research citations5,966,195

Artificial Intelligence (Science) is a Bachelor of Science major in the College of Science. Students explore the foundations of machine learning, reasoning, and decision-making, and learn to build systems that process data, adapt, and self-correct. The program also studies connections between AI, cognitive psychology, and neuroscience, to understand how intelligent systems interact with the world.Students work with programming tools and AI techniques used in real-world applications, including robotics and healthcare. Ethics and societal impact are woven throughout the curriculum. Graduates are prepared for careers in technology, research, and beyond.

Entry requirements, as the university states them

• Must complete two courses in Computer Science and two semesters of college-level Calculus equivalent to MA 16500/16100 and MA 16600/16200 with a grade of B or higher
• Any other STEM coursework should also earn a B or higher

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5 Business Analytics and Artificial Intelligence

Florida International University

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations3,631,304

The Bachelor's Degree in Business Analytics and Artificial Intelligence at Florida International University equips students with the knowledge and skills to leverage data and AI technologies for informed decision-making in business environments. The program covers essential topics such as data collection, data mining, predictive analytics, and various AI techniques, providing a comprehensive understanding of how to transform data into actionable insights. Students will engage in a well-structured curriculum that includes core business courses as well as specialized courses in analytics and AI. This integrated approach allows students to develop a strong foundation in both the business and technical aspects of data analytics. Practical experience is emphasized through hands-on projects, case studies, and team collaborations that simulate real-world business challenges. Skills gained from this program include proficiency in statistical analysis, machine learning algorithms, data visualization, and effective communication of data-driven insights. The unique combination of business acumen and technical expertise prepares graduates to tackle complex problems in various industries, making them highly sought after by employers worldwide.

From the programme record

• Business Intelligence Analyst
• Machine Learning Engineer
• Operations Research Analyst
• Consultant in Data-Driven Decision Making

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6 Artificial Intelligence

Northwestern University

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations36,668,431

The Bachelor's Degree in Artificial Intelligence at Northwestern University provides a comprehensive overview of AI technologies, their applications, and their implications in various fields. Students will engage in a multidisciplinary curriculum that combines computer science, engineering, mathematics, and ethics, enabling them to develop cutting-edge AI models and applications. This program emphasizes practical experience through hands-on projects, labs, and internships. Students learn essential programming languages, machine learning techniques, data mining, and natural language processing. The course is designed to foster critical thinking and problem-solving skills, allowing students to tackle complex problems effectively. Studying in the United States, a global leader in technology and innovation, provides students with unparalleled access to industry resources, networking opportunities, and exposure to diverse cultural perspectives. Northwestern's location in a vibrant city offers a rich educational experience that extends beyond the classroom.

From the programme record

• Machine Learning Engineer
• Business Intelligence Analyst

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7 Artificial Intelligence for IT Operations

University of Baltimore

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations2,167,588

The Bachelor's degree in Artificial Intelligence for IT Operations at the University of Baltimore equips students with the necessary skills and knowledge to leverage AI technologies in managing and improving IT services. This course covers foundational aspects of artificial intelligence, data analytics, machine learning, and their applications within IT operations. Through a combination of theoretical understanding and practical experience, students learn how to implement AI solutions that optimize IT infrastructure and processes.The curriculum is structured to involve hands-on projects, case studies, and industry collaborations, enabling students to gain real-world insights into the challenges faced by IT organizations today. Key areas of focus include predictive analytics, automation technologies, and the development of intelligent IT solutions. Students participate in workshops that enhance their problem-solving capabilities, critical thinking, and creativity in applying AI to improve business outcomes.Studying at the University of Baltimore not only allows students to gain expertise in a rapidly evolving field but also immerses them in a vibrant tech ecosystem. The university collaborates with local tech companies and organizations, providing students with networking opportunities and internships that are crucial for building a successful career in AI and IT operations.

From the programme record

• Machine Learning Engineer

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8 Artificial Intelligence

The Catholic University of America

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations1,918,137

The Bachelor's Degree in Artificial Intelligence at the Catholic University of America provides students with a robust understanding of both theoretical and practical aspects of AI technologies. The curriculum covers essential topics such as machine learning, natural language processing, computer vision, and robotics. Through a combination of classroom instruction and hands-on projects, students will explore the algorithms and data structures that underpin AI systems, ensuring they are well-equipped to innovate and solve complex problems. This program is structured to foster analytical thinking and creativity. Core courses are complemented by electives that allow students to focus on specific areas of interest, such as ethical considerations in AI, data analysis, and software engineering. Students engage in collaborative projects, working with faculty and industry professionals to apply their skills in real-world contexts, making their academic journey both challenging and rewarding. By studying in the United States, students benefit from being at the forefront of AI research and development. The rich tech ecosystem provides opportunities for internships and networking, further enhancing the learning experience. The Catholic University of America emphasizes values-based education, preparing graduates to not only excel in their careers but also contribute positively to society.

From the programme record

• Machine Learning Engineer
• Business Intelligence Analyst

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9 Artificial Intelligence

North Dakota State University

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations1,890,788

The Bachelor’s degree in Artificial Intelligence from North Dakota State University equips students with the theoretical knowledge and practical skills necessary to excel in the rapidly evolving field of AI. The curriculum is designed to cover a wide array of topics, including machine learning, data analysis, robotics, and natural language processing. Students will gain insight into the mathematical foundations of AI algorithms, as well as experience in programming languages commonly used in the industry. The course structure typically includes foundational courses in computer science, advanced modules focused on AI technologies, and hands-on projects that encourage practical application of learned concepts. Students also have opportunities to engage in collaborative work with peers and professionals, further enhancing their problem-solving skills and creativity. By studying Artificial Intelligence in the United States, international students are exposed to cutting-edge technology and research methodologies from leading experts in the field. The collaborative and innovative environment at North Dakota State University fosters creativity and prepares graduates to contribute to significant advancements in technology and societal well-being.

From the programme record

• Machine Learning Engineer
• Natural Language Processing Engineer

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10 Artificial Intelligence

University of San Francisco

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations1,690,826

The Bachelor's Degree in Artificial Intelligence at the University of San Francisco offers a comprehensive exploration of advanced computational techniques, artificial intelligence principles, and their application in real-world scenarios. The curriculum is designed to equip students with essential skills in programming, data analysis, machine learning, and ethical considerations in AI. Engaging coursework covers topics such as natural language processing, robotics, computer vision, and AI-driven problem-solving methodologies.Students will participate in hands-on projects and collaborative learning experiences, allowing them to apply theoretical knowledge to practical situations. This course emphasizes not only technical prowess but also critical thinking, creativity, and the ability to analyze complex systems. The diverse faculty brings a wealth of knowledge from various industries, ensuring students receive a well-rounded learning experience.Choosing to study AI in the United States, particularly in the vibrant tech hub of San Francisco, presents numerous advantages. The city is home to leading technology companies and startups, providing students with ample internship and networking opportunities. The blend of academic rigor and industry exposure prepares graduates to be leaders in the rapidly evolving field of artificial intelligence.

From the programme record

• Machine Learning Engineer
• Business Intelligence Analyst

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11 Artificial Intelligence

Marymount University

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations1,578,390

The Bachelor's Degree in Artificial Intelligence at Marymount University offers a comprehensive curriculum designed to equip students with the necessary skills and knowledge to excel in the rapidly evolving field of AI. The program covers a range of topics including machine learning, data analysis, natural language processing, and robotics. Students engage in both theoretical concepts and practical applications, allowing them to develop a well-rounded understanding of AI technologies. Typical course structure includes core subjects that provide foundational knowledge in programming, statistics, and computational theories, complemented by specialized electives that delve deeper into areas such as neural networks and AI ethics. Through hands-on projects and collaborative assignments, students foster critical thinking and problem-solving abilities essential for tackling real-world challenges. Studying AI in the United States provides a unique advantage due to the country’s leading position in technology innovation and research. Students at Marymount University can benefit from networking opportunities with industry professionals and access to cutting-edge resources that enhance their learning experience.

From the programme record

• Machine Learning Engineer
• Business Intelligence Analyst

Full programme details →

12 Artificial Intelligence

University of Texas at El Paso

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations1,452,800

The Bachelor’s Degree in Artificial Intelligence at the University of Texas at El Paso equips students with the foundational knowledge and practical skills necessary to thrive in the rapidly evolving field of AI. This program covers a comprehensive curriculum that incorporates computer science, mathematics, and engineering principles, providing students with insights into machine learning, natural language processing, and robotics. Students will delve into subjects such as algorithm design, data analysis, and automated reasoning, fostering a deep understanding of how artificial intelligence systems are designed and implemented. The course structure typically includes a mix of theoretical coursework, hands-on projects, and internships that prepare graduates to tackle real-world challenges. Additionally, studying in Texas offers a unique advantage due to its growing tech industry and vibrant ecosystem of startups and established companies. Students will have opportunities to network with industry leaders, attend workshops, and gain valuable experience through collaborative initiatives.

Entry requirements, as the university states them

• A high school diploma or equivalent
• Strong performances in mathematics and science subjects
• Completion of prerequisite courses in computer science or related fields (if applicable)
• Letters of recommendation may be beneficial

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13 Artificial Intelligence (AI) + X

Bowling Green State University

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations1,170,921

The Bachelor's Degree in Artificial Intelligence (AI) + X at Bowling Green State University is designed to equip students with a strong foundation in AI concepts alongside complementary skills from relevant disciplines. This interdisciplinary approach enables students to tailor their learning experience by incorporating 'X', which could be another area of study such as Business, Data Science, Psychology, or Robotics. The program covers essential areas such as machine learning, natural language processing, computer vision, and data analytics, empowering students to innovate and lead in the evolving tech landscape.Students engage with both theoretical and practical aspects of AI, including hands-on projects, internships, and collaboration with industry partners. This combination of classroom learning and real-world experience ensures that graduates are well-prepared to tackle complex challenges using AI technologies. With access to state-of-the-art facilities and resources, students can immerse themselves in research opportunities that shape the future of artificial intelligence.By studying at Bowling Green State University, located in a vibrant and diverse community, international students benefit from an enriched learning environment that promotes cultural exchange and networking.

Entry requirements, as the university states them

• High school diploma or equivalent with a strong emphasis on mathematics and science courses.
• Successful completion of standardized tests (such as SAT or ACT) may be required.
• Demonstrated interest in artificial intelligence and technology through relevant coursework, projects, or extracurricular activities.
• IELTS score of 6.5 or higher.
• TOEFL score of 79 (iBT) or higher.

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14 Artificial Intelligence, Bachelor of Science

University of Nebraska, Omaha

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations764,157

The Bachelor of Science in Artificial Intelligence at the University of Nebraska, Omaha, is designed to provide students with a robust understanding of AI technologies and their applications. The curriculum covers a wide spectrum of topics including machine learning, data mining, natural language processing, and robotics. Students will engage in hands-on projects that reinforce theoretical concepts, allowing them to build real-world AI applications. The program is structured to include foundational courses in computer science and mathematics, followed by advanced specialization options in AI. Through collaborative learning, students will work with faculty members on innovative research projects, gaining experience that is essential for a career in technology. Additionally, the program emphasizes ethical considerations in AI, preparing students to navigate the complexities of integrating AI into society responsibly. Studying in the United States, particularly at the University of Nebraska, Omaha, offers international students unique exposure to a diverse technological environment. The city is known for its vibrant tech scene and offers numerous internship opportunities with leading companies in the industry. This aspect of the program enhances employability and allows students to apply their knowledge in practical settings.

From the programme record

• Machine Learning Engineer
• Software Developer specializing in AI

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15 Artificial Intelligence (AI)

University of Tulsa

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations700,263

The Bachelor's Degree in Artificial Intelligence (AI) at the University of Tulsa prepares students for a rapidly evolving field that merges technology, mathematics, and engineering. This program covers a wide range of topics, including machine learning, natural language processing, robotics, and computer vision. Students will engage in both theoretical and applied coursework, focusing on real-world applications and innovative problem-solving.Throughout the program, students will learn programming languages such as Python and R, as well as frameworks and tools essential for developing AI applications. The curriculum is designed with a strong emphasis on hands-on experience, including collaborative projects and internships that offer valuable exposure to the industry. By studying AI in the United States, students benefit from access to one of the world's leading tech hubs, networking opportunities with industry professionals, and cutting-edge research facilities.In addition to technical knowledge, the program cultivates important soft skills such as critical thinking, creativity, and teamwork, which are crucial for successful careers in the tech industry. Students will emerge from the course prepared to tackle challenges and contribute positively to the advancement of AI technologies and their applications across various sectors.

From the programme record

• Machine Learning Engineer
• Natural Language Processing Engineer
• Business Intelligence Developer

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16 Computer Information Systems (BSBA) - Artificial Intelligence

Appalachian State University

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations507,098

The Bachelor of Science in Business Administration with a concentration in Computer Information Systems, focused on Artificial Intelligence, equips students with a comprehensive understanding of the technological and business landscapes. The curriculum blends core business principles with advanced concepts in information systems, preparing graduates to design and implement innovative solutions that leverage AI technologies. Students are exposed to practical applications through case studies, group projects, and hands-on experience with AI tools.This degree program typically includes foundational courses in business operations, information systems management, and artificial intelligence methodologies. Through this coursework, students will develop strong analytical, problem-solving, and critical thinking skills essential for a successful career in today’s tech-driven business environment. Opportunities for internships and collaborations with local businesses further enhance learning and career readiness.Studying at Appalachian State University offers students unique insights into how technology is reshaping industries, thanks to the university’s strong emphasis on research and innovation. Nestled in a vibrant community and surrounded by stunning natural landscapes, students benefit from a supportive learning environment that encourages creativity and exploration.

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17 Artificial Intelligence

North Carolina A&T State University

• DeliveryOn campus
• Study modeFull time
• StartsFall, Spring
• Research citations497,926

The Bachelor's Degree in Artificial Intelligence at North Carolina A & T State University is designed to equip students with the foundational knowledge and technical prowess required to excel in the rapidly evolving field of AI. The curriculum encompasses a mixture of theoretical concepts, practical applications, and hands-on projects that prepare students to tackle real-world challenges. Students will delve into areas such as machine learning, natural language processing, computer vision, and robotics, gaining insights into how AI can be utilized across various industries. Typical course structure includes a blend of core courses, electives, and project-based learning. Core subjects often cover fundamental programming languages, data structures, algorithms, and the ethical implications of AI technologies. Electives allow students to explore specialized topics, fostering a deeper understanding of specific AI domains that interest them. This structure not only builds a robust academic foundation but also encourages creativity and innovation. Throughout their studies, students develop essential skills such as critical thinking, problem-solving, and proficiency in programming languages like Python and Java. Additionally, students engage in collaborative projects that enhance teamwork and communication abilities, which are crucial in the tech industry.

From the programme record

• Machine Learning Engineer
• Software Developer in AI applications
• Business Analyst specializing in AI solutions
• Consultant in AI technologies

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18 Computer Science and Artificial Intelligence

Lyon College

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations387,573

The Bachelor's Degree in Computer Science and Artificial Intelligence at Lyon College equips students with a strong foundation in both computer science principles and the functionalities of artificial intelligence. The curriculum covers a range of topics such as programming, data structures, algorithm design, machine learning, and natural language processing, which are essential for developing advanced software systems and intelligent applications. Throughout the course, students will engage in hands-on projects and collaborative research, allowing them to apply theoretical knowledge to real-world problems. The program is designed to ensure students are well-versed in programming languages, software engineering practices, and AI methodologies. Additionally, students will gain proficiency in analytical thinking and problem-solving, which are vital in the tech industry. Studying Computer Science and Artificial Intelligence in this country offers students the opportunity to explore a vibrant technology landscape. The local industry is known for its innovation and development in tech, providing numerous networking opportunities with leading companies and startups. Students will benefit from internships and industry partnerships that enhance their learning experience and employability.

From the programme record

• Machine Learning Engineer

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19 Artificial Intelligence

Morgan State University

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations259,138

Morgan State University offers Artificial Intelligence (BS). The degree is titled “Artificial Intelligence (BS).”No additional details are provided in the available page text about what students study within the program, how the program is delivered, or what types of projects, labs, or placements are included.

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20 Artificial Intelligence

Christopher Newport University

• DeliveryOn campus
• Study modeFull time
• Duration4 years
• StartsFall, Spring
• Research citations256,499

The Bachelor's Degree in Artificial Intelligence at Christopher Newport University equips students with a profound understanding of both the theoretical and practical aspects of AI technologies. This program covers essential topics such as machine learning, natural language processing, computer vision, and robotics. Students engage in hands-on projects and collaborative research, gaining insights into how AI can be applied in various real-world scenarios.The curriculum is structured to provide a combination of foundational knowledge and specialized skills. Core courses explore the mathematics and algorithms that form the basis of AI, while elective courses allow students to tailor their education to their interests, such as ethical considerations in AI, data science, or autonomous systems. Through rigorous training and innovative projects, students develop critical thinking, problem-solving, and programming skills needed to excel in this dynamic field.Studying in the university's country offers students a unique opportunity to be part of a vibrant tech ecosystem. The country is known for its advancements in technology and research, providing students with access to top-notch faculty, state-of-the-art facilities, and robust networks in the tech industry.

From the programme record

• Machine Learning Engineer

Full programme details →