Best Artificial Intelligence Degree Programs of 2022

Learn more about the top Artificial Intelligence programs, what to expect, job prospects, and how to choose the program that’s right for you.

Artificial intelligence is the process of creating computers that can perform tasks that ordinarily require human intelligence, such as understanding natural language and recognizing objects. Artificial intelligence degrees can prepare students for a variety of careers in artificial intelligence, including research, development, and applications.

Artificial intelligence degrees offer a broad overview of the field of artificial intelligence, covering topics such as machine learning, natural language processing, and computer vision. Students in artificial intelligence degree programs learn about the different algorithms and techniques that are used to create artificial intelligence systems, and how to apply those techniques to real-world problems.

How to Choose the Right Artificial Intelligence Program

When it comes to choosing the right AI program, there are a few key factors that students need to consider. The first is the cost of the program. AI programs can be expensive, so students need to make sure they can afford the tuition. They also need to consider the time commitment required. AI programs can be very time-consuming, so students need to make sure they can commit to the program. Finally, students need to consider the location of the program. AI programs are often located in major cities, so students need to make sure they can afford the cost of living in the city.

Best Bachelor’s in Artificial Intelligence Programs

The best programs for Artificial Intelligence ranking is based on key statistics and student reviews using data from the U.S. Department of Education. Some of the metrics influencing how the rankings are determined include graduation rate, average salary for graduates, accreditation, retention rate, and cost.

Rank 1
Carnegie Mellon University
Pittsburgh, PA

The Bachelor of Science in Artificial Intelligence (BSAI) from Carnegie Mellon University is a interdisciplinary program that focuses on how to use complex inputs – such as vision, language, and databases – to make decisions or enhance human capabilities. The curriculum for the BSAI includes coursework in computer science, math, statistics, computational modeling, machine learning, and symbolic computation. Students also take courses in ethics and social responsibility. There is also the option to participate in independent study projects in areas such as healthcare, transportation, and education.

Rank 2
Indiana University
Bloomington, IN

The Bachelor of Arts in Artificial Intelligence from Indiana University is designed to prepare students for careers in the emerging field of AI. The program covers topics such as machine learning, bot development, robotic process automation, and cognitive computing. Students learn how to apply artificial intelligence to real-world problems and develop the skills that employers are seeking. The program includes a mix of core courses, electives, and a capstone experience.

Rank 3
Saint Leo University
Saint Leo, FL

The Bachelor of Science in Robotics and Artificial Intelligence degree from Saint Leo University is designed to prepare students for entry-level careers in Robotics and AI. Students learn robotics principles, design and operation, through hands-on project-based experiential learning activities embedded throughout the curriculum. Students will develop a solid conceptual grounding, apply theoretical knowledge in a practical setting, and gain the expertise they will need to target a number of industries, including manufacturing, healthcare, and information technology.

Rank 4
Illinois Institute of Technology
Chicago, IL

The Bachelor of Science in Artificial Intelligence from Illinois Institute of Technology is designed to give students a strong foundation in the core concepts and techniques of AI. The program begins with introductory courses in programming, computer science, mathematics, and statistics, followed by courses in state-space search, game-playing, machine learning, neural networks, planning, computer vision, and language understanding. The program includes a variety of advanced AI electives, allowing students to develop expertise in specific subfields.

Rank 5
Colorado State University
Fort Collins, CO

The Bachelor of Science in Artificial Intelligence and Machine Learning from Colorado State University is a rigorous program that combines computer science with coursework in AI, ML, and big data. This concentration provides students with the necessary foundational coursework and skills in math, statistics, and data science. Upon completion of the program, students will be able to develop AI and ML approaches for complex real-world problems, deploy high-performance computing tools for the analysis of large datasets, use a broad range of AI and ML tools, techniques, and algorithms, and apply AI and ML tools in an ethical and socially responsible manner.

Rank 6
Colorado State University-Global Campus
Aurora, CO

The Bachelor of Science in Artificial Intelligence (AI) And Robotics from Colorado State University-Global Campus has a comprehensive curriculum that prepares students for a career in robotics and AI, with courses covering topics such as search methods in artificial intelligence, the effects of uncertainty in a probabilistic setting, and technical mechanisms used to deconstruct an image for modeling. Students will also gain the ability to control a robot in a given environment and model factors that can influence a robot’s path.

Rank 7
Kansas State University
Manhattan, KS

The Bachelor of Science in Machine Learning and Autonomous Systems from Kansas State University is designed to provide students with an advanced, in-depth, and hands-on learning experience focused on the design, development, and deployment of machine learning and artificial intelligence frameworks within autonomous systems. Students in the program can choose between two tracks – web development or computational core.

Both tracks of the program require the completion of a number of major and minor courses, as well as a capstone project.

Rank 8
Dakota State University
Madison, SD

The Bachelor of Science in Artificial Intelligence from Dakota State University is a comprehensive program that covers all aspects of AI. Students will learn about the different types of AI, how AI is used in various applications, and the ethical and societal impacts of AI. The program also covers computer science and math, giving students the skills they need to successfully use AI in an ethical manner.

Rank 9
St. John’s University-New York
Queens, NY

The Bachelor of Science in Computing and Machine Learning at St. John’s University-New York is a highly flexible program that provides students with the technological proficiency necessary to meet the challenges of the 21st century. The program offers a broad knowledge base in areas such as computer science, machine learning, artificial intelligence, and mathematics, which prepares students for careers in a variety of specialized fields. The program also includes a focus on an international academic experience, with opportunities for study abroad and internships in dynamic New York City.

Rank 10
Indianapolis, IN

The Bachelor of Science in Artificial Intelligence from IUPUI is a degree that focuses on the understanding and development of intelligent software and hardware systems. The concentration in Data and Computational Science incorporates artificial intelligence, machine learning, and the software and data analytics applications of these technologies. The degree curriculum includes artificial intelligence theory, methodologies, and applications infused throughout the program. Students will also learn about applications that are reliant on artificial intelligence technologies, such as robotics, autonomous systems, intelligent control and smart systems and devices.

What to Expect From a Bachelor’s in Artificial Intelligence Program

Students in a bachelor’s in artificial intelligence program can expect to learn about the algorithms and programming languages used to create and train AI applications. They will also study the ethical implications of AI technology and its impact on society.

Most programs require between 120 and 128 credits, and students typically complete the degree in four years. Many programs offer specializations, such as machine learning or natural language processing.

In addition to coursework, students in a bachelor’s in artificial intelligence program often complete internships and research projects. These experiences give students the opportunity to gain hands-on experience with AI technology and apply what they have learned in the classroom to real-world scenarios.

Prospective students should have strong computer skills and be comfortable with math and statistics. They should also be able to think critically and solve problems.

Common Artificial Intelligence Courses

The courses you’ll take for an artificial intelligence degree will depend on the program and school you choose. However, many programs offer a combination of the following courses.

Pattern Recognition

This course covers methods for automatic pattern recognition including statistical, structural, syntactic, and neural approaches. Emphasis is placed on design and analysis of algorithms, feature selection and extraction, multidimensional pattern classification, and cluster analysis. Upon completion, students should be able to apply the appropriate pattern recognition technique to solve problems in artificial intelligence, and be familiar with a variety of pattern recognition software packages.

Machine Learning

This course covers the basic concepts and techniques of machine learning from a variety of perspectives. Topics include supervised learning, unsupervised learning, reinforcement learning, feature selection and transformation, model selection and assessment, and algorithm design and analysis. Upon completion, students should be able to apply machine learning algorithms to data sets, understand the strengths and weaknesses of various algorithms, and be able to design and implement new algorithms.

Cognitive Modeling

This course covers the computational modeling of human cognition, with an emphasis on the use of artificial neural networks. Topics include an overview of AI and cognitive science; history of artificial neural networks; simple and complex cells; feature detectors; self-organizing maps; Hopfield networks; Boltzmann machines; and applications in vision, audition, language, and motor control. Upon completion, students should be able to apply artificial neural networks to model various aspects of human cognition, and design and implement simple neural network applications.


This course covers the principles of robotics including kinematics, dynamics, control, and sensors. Topics include rigid-body transformations, forward and inverse kinematics, Jacobians, velocity kinematics, dynamics, trajectory planning, actuators, sensors, and feedback control. Emphasis is placed on developing the skills necessary to design, build, and program robots. Upon completion, students should be able to apply the principles of robotics to design, build, and program robots.

Natural Language Processing

This course covers the area of Artificial Intelligence (AI) concerned with the interactions between computers and human languages, in particular how to program computers to process and analyze large amounts of natural language data. Topics include automatic speech recognition, natural language understanding, and machine translation. Upon completion, students should be able to understand and apply the fundamental concepts and algorithms of natural language processing, and be familiar with the major applications of natural language processing.

Career Options for Artificial Intelligence Graduates

Graduates of artificial intelligence programs work in a variety of industries, including computer science, engineering, and mathematics. They may also work in fields such as research and development, and information technology.

Data Scientist

Data scientists use their math, science, and computer skills to collect, analyze, and interpret large data sets. They use this data to develop models and solve complex problems. Data scientists typically have a background in math, statistics, and computer science. They use their skills to mine data for insights that can be used to make better decisions. Data scientists can work in a variety of industries, including healthcare, finance, manufacturing, and retail.

Machine Learning Engineer

Machine learning engineers are responsible for developing and improving upon algorithms that “teach” computers to automatically improve given more data. In practical terms, this means building systems that can automatically get better at tasks like image recognition, fraud detection, and language translation. Machine learning engineers work with data scientists, software engineers, and business teams to deploy these algorithms and systems. They also monitor and optimize them as they continue to learn.

Software Developer

Software developers create the applications or systems that run on a computer or another device. They turn the program designs created by software engineers and architects into instructions that a computer can follow. Developers also consult with customers about what they want their applications to do and ensure that these needs are met in the final product. Developers typically work in an office alongside other developers, software engineers, and computer programmers.

Robotics Engineer

Robotics engineers design robots and robotic systems and oversee their construction and implementation. This can include developing new applications for existing robots or designing entirely new robots from scratch. Robotics engineers often specialize in a particular area, such as industrial robotics, medical robotics, or military robotics. They typically work in teams, which means they need to be able to collaborate effectively with others.

AI Researcher

AI researchers develop and test new ways to make computers smarter. This can involve writing new algorithms, developing new applications, or improving existing ones. AI research is a relatively new field, so there are many opportunities to make significant contributions. The work can be theoretical or applied, and it can involve developing new algorithms or improving existing ones.

Insights From an Artificial Intelligence Graduate

Jamari Patrick is a Data Scientist at Apple. He has a bachelor’s degree in artificial intelligence from the Massachusetts Institute of Technology. Jamari has over 3 years of experience in data science and machine learning.

ClimbtheLadder: What were the biggest takeaway(s) you got from your Artificial Intelligence program that you may not have gotten otherwise?

Jamari Patrick: The biggest takeaway from my AI program was the ability to think abstractly. In order to be successful in AI, you need to be able to see the world in a different way and be able to find patterns that others may not see.

You also need to be able to think about problems in a different way and be able to break down a problem into smaller pieces. This allows you to find a solution that may not be obvious at first.

ClimbtheLadder: What should students interested in Artificial Intelligence be good at?

Jamari Patrick: Artificial intelligence is a field that requires strong critical thinking and problem-solving skills. In addition, students should be good at programming, statistics, and math.

ClimbtheLadder: Was there anything about your Artificial Intelligence program that you didn’t expect or anticipate?

Jamari Patrick: I didn’t expect the program to be as theory-heavy as it was. I thought I would be learning more about how to code and implement AI applications, but a lot of the coursework was focused on the mathematics and philosophy behind artificial intelligence.


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