Bachelor’s in Artificial Intelligence Programs for 2025

An AI Engineering student in glasses focuses on a computer screen, with a man working beside her in a modern office setting.

Artificial intelligence (AI) is transforming industries across the globe, from healthcare and finance to entertainment and manufacturing. As companies increasingly integrate AI into their operations, the demand for skilled professionals in the field continues to grow. For those looking to enter this exciting and evolving industry, earning a bachelor’s degree in artificial intelligence provides a solid foundation.

In this guide, we’ll explore what a bachelor’s in artificial intelligence entails, highlight the criteria for choosing the best program, and delve into the career prospects for AI graduates. If you’re wondering how to begin your journey into AI, this article will provide the insights you need.

Bachelor’s in Artificial Intelligence Overview

A bachelor’s in artificial intelligence is a specialized undergraduate degree designed to prepare students for careers in AI development, machine learning, and data-driven innovation. 

Key Components of the Curriculum

Students enrolled in a bachelor’s in artificial intelligence program typically study a variety of subjects, including:

  • Machine Learning: Understanding algorithms that enable machines to learn and improve from data.
  • Neural Networks: Exploring models inspired by the human brain to process and analyze data.
  • Data Analysis: Learning to interpret complex datasets to extract valuable insights.
  • Robotics: Designing and programming robots to perform intelligent tasks.
  • Natural Language Processing (NLP): Building systems that understand and interact using human language.
  • Ethics in AI: Examining the societal impact of AI and addressing ethical considerations.

Career Opportunities After Graduation

A bachelor’s in artificial intelligence opens doors to a wide range of careers, such as:

  • AI Developer: Creating intelligent software and applications.
  • Data Scientist: Analyzing data to develop actionable insights using AI tools.
  • Robotics Engineer: Designing intelligent robotic systems for industrial and personal use.
  • Machine Learning Engineer: Building and optimizing machine learning algorithms for various applications.

This degree is an excellent starting point for anyone looking to enter one of the fastest-growing and most dynamic fields in technology. It provides foundational knowledge while offering the flexibility to specialize in areas that align with individual interests and career goals.

Criteria for Choosing the Best AI Programs

Selecting the right bachelor’s in artificial intelligence program is a critical step for aspiring AI professionals. With numerous options available, it’s essential to evaluate programs based on several key factors to ensure they align with your career goals and personal needs.

Accreditation and Its Importance

Accreditation ensures that a program meets established academic and professional standards. Look for programs accredited by recognized organizations such as:

  • ABET (Accreditation Board for Engineering and Technology): For programs with a strong emphasis on engineering and computing.
  • Regional Accreditation Agencies: Ensure overall institutional credibility.

Accredited programs not only provide quality education but also increase eligibility for financial aid and enhance employability after graduation.

Curriculum Quality and Industry Alignment

The best programs offer a robust curriculum that keeps pace with the rapidly evolving AI field. Key considerations include:

  • Courses covering machine learning, neural networks, robotics, and natural language processing.
  • Practical components such as labs, internships, and capstone projects that develop hands-on skills.
  • Faculty expertise and research opportunities in emerging areas of AI.

Hands-On Experience

Practical training is essential for succeeding in AI careers. Look for programs that provide:

  • Internships: Partnerships with leading tech companies or AI-focused startups.
  • Research Labs: Opportunities to work on real-world AI challenges.
  • Capstone Projects: Building and deploying AI models to solve complex problems.

Format Options: On-Campus vs. Online

While traditional on-campus programs offer networking and in-person collaboration, online AI programs provide flexibility for students balancing other commitments. Consider hybrid options for a blend of online and in-person learning.

Tuition and Financial Aid

Evaluate the total cost of attendance, including tuition, fees, and living expenses. Research:

  • Scholarships and Grants: Many institutions offer financial support for students in STEM fields.
  • Employer Sponsorships: Companies often sponsor education for employees pursuing AI expertise.
  • Affordable Options: Online programs or community college pathways can help reduce costs.

By thoroughly researching and comparing these factors, you can identify the best program to set the foundation for a successful AI career.

Bachelor’s in Artificial Intelligence Programs

The following list of bachelor’s in artificial intelligence programs is designed to help prospective students gain a better understanding of the diverse options available for pursuing a dedicated AI-focused undergraduate degree. The programs highlighted here were selected based on various factors, including graduation rates, curriculum focus, and representation of a wide range of schools. This includes public and private institutions, programs at different price points, and those offering unique areas of specialization within artificial intelligence.

That said, the opportunities to study AI at the undergraduate level are rapidly expanding. Many top universities allow students to specialize in AI within broader fields like computer science or data science. Additionally, some institutions offer integrated bachelor’s and master’s pathways, culminating in a graduate degree in artificial intelligence. As you review programs, be sure to consider all your options to find the path that best aligns with your career goals and educational needs.


Carnegie Mellon University

Location: Pittsburgh, PA
Type: 4-year, Private not-for-profit
Graduation Rate: 93%
Net Price: $32,964

B.S. in Artificial Intelligence

Program Highlights: 

Nation’s First Bachelor’s Degree in AI
Carnegie Mellon University (CMU) was the first in the U.S. to offer a dedicated bachelor’s degree in artificial intelligence, launched in 2018. This reflects CMU’s long-standing leadership in AI education and innovation.

Interdisciplinary Curriculum
The program combines foundational coursework in math, statistics, computer science, and AI-specific topics like machine learning, natural language processing, and robotics. Students also explore ethics and social responsibility, aligning with CMU’s commitment to “AI for social good.”

Access to World-Class Faculty
Instruction is led by experts from multiple renowned departments within the School of Computer Science, including the Robotics Institute, Language Technologies Institute, and Machine Learning Department.

Hands-On Experience
Students can participate in independent study projects aimed at solving real-world problems in areas such as healthcare, transportation, and education.

Strong Career Preparation
Graduates gain expertise in machine learning and automated reasoning, positioning them to work on cutting-edge AI technologies across industries like autonomous vehicles, fraud detection, and smart appliances.

Unique Degree Designation
The degree is specifically labeled “Artificial Intelligence,” ensuring graduates’ specialized focus is recognized by employers and differentiates them from general computer science graduates.

Flexible Entry Options
Students declare the major in their first year after being admitted to the School of Computer Science. Internal transfers from other CMU programs are possible up to the sophomore year.


The University of Tennessee-Knoxville

Location: Knoxville, TN
Type: 4-year, Public
Graduation Rate: 73%
Net Price: $20,885

Applied Artificial Intelligence Undergraduate Degree

Program Highlights: 

Real-World Applications Across Disciplines
The Applied Artificial Intelligence program emphasizes practical, interdisciplinary AI applications, preparing students to tackle real-world challenges in industries like healthcare, education, marketing, and financial services.

Career Readiness
Students gain job-ready skills through paid, for-credit internships, capstone projects, and hands-on learning. The program’s partnerships with industry professionals ensure graduates are prepared for workforce demands.

Innovative and Evolving Curriculum
Coursework includes foundational and advanced topics such as AI ethics and legal frameworks, natural language programming techniques, and human-AI interaction design. Courses evolve to keep pace with emerging AI tools and applications.

Diverse Career Paths
Graduates are equipped for roles like AI Architect, Natural Language Processing Engineer, AI Consultant, and Data Analyst, leveraging AI to transform industries and drive innovation.

Collaborative Learning Environment
The program encourages cross-disciplinary collaboration, enabling students to integrate AI insights into creative solutions for complex problems.

Focus on Ethical AI
Students explore the ethical, social, and legal impacts of AI, fostering a responsible approach to innovation.


The University of Texas at San Antonio

Location: San Antonio, TX
Type: 4-year, Public
Graduation Rate: 51%
Net Price: $10,831

Artificial Intelligence Multidisciplinary Studies Degree

Program Highlights:

Multidisciplinary Approach
The Artificial Intelligence Multidisciplinary Studies Degree integrates coursework from computer science, mathematics, statistics, electrical and computer engineering, and information systems, providing a broad yet cohesive foundation in AI.

Customizable Learning Path
Students benefit from the flexibility to create a personalized degree plan or select the pre-designed Artificial Intelligence program, aligning their education with career aspirations and interests.

School of Data Science Excellence
The program is housed in UTSA’s School of Data Science, a cutting-edge facility focused on hands-on learning and research. San Pedro I, the school’s dedicated facility, supports student innovation with state-of-the-art resources and renowned faculty specializing in AI, machine learning, and data science.

Real-World Relevance
Graduates gain skills applicable to industries like technology, automotive, and e-commerce, working on advanced applications such as speech recognition, self-driving vehicles, and robotics.

Diversity and Inclusion Leadership
As part of a Tier One Hispanic-Serving Institution, the program emphasizes diversity and inclusion, fostering equitable opportunities in data-intensive fields for a global workforce.

Industry Connections
With its location in downtown San Antonio, the program benefits from proximity to key industry partners, providing students with networking, internship, and collaborative opportunities.


University of Pennsylvania

Location: Philadelphia, PA
Type: 4-year, Private not-for-profit
Graduation Rate: 97%
Net Price: $26,017

Bachelor of Science in Engineering in Artificial Intelligence

Program Highlights:

  • First Ivy League AI Program
    The Raj and Neera Singh Program in Artificial Intelligence at Penn Engineering offers the first Bachelor of Science in Engineering (B.S.E.) in Artificial Intelligence in the Ivy League, setting a prestigious foundation for aspiring AI professionals.
  • Cutting-Edge Curriculum
    Students gain a robust foundation in mathematics, algorithms, and programming while exploring AI’s interdisciplinary applications through courses in cognitive science, robotics, and health systems. Specialized tracks include:
    • Machine Learning
    • Vision and Language
    • Data and Society
    • AI and Health Systems
    • Robotics
  • Interdepartmental Expertise
    The program is jointly administered by the Departments of Electrical and Systems Engineering (ESE) and Computer and Information Science (CIS), ensuring a diverse and comprehensive education.
  • Real-World Projects and Hands-On Learning
    The curriculum emphasizes practical application, including AI projects where at least 30% of the grade comes from hands-on term projects. Courses like Deep Learning: A Hands-On Introduction and Tiny Machine Learning foster project-based learning with real-world applications.
  • AI for Social Good
    Students develop skills in responsible AI development, learning how to create ethical and socially beneficial AI systems while addressing pressing societal challenges.
  • Prestigious Academic Environment
    As a part of Penn Engineering, students benefit from access to world-class faculty, cutting-edge facilities, and collaborative opportunities with leaders in AI research and innovation.
  • Flexible Course Selections
    Students choose from a variety of electives, such as Natural Language Processing, Computer Vision & Computational Photography, and Scalable and Cloud Computing, tailoring their education to align with personal interests and career goals.

University of Southern California

Location: Los Angeles, CA
Type: 4-year, Private not-for-profit
Graduation Rate: 92%
Net Price: $41,496

Bachelor of Science in Artificial Intelligence for Business

Program Highlights:

Unique Interdisciplinary Focus
The Bachelor of Science in Artificial Intelligence for Business at the University of Southern California (USC) is offered jointly by the Marshall School of Business and the Viterbi School of Engineering, combining expertise in business strategy and AI technologies to prepare future leaders in AI-driven innovation.

Comprehensive Curriculum
The program integrates rigorous coursework in both business and artificial intelligence, with key components including:

  • Business Fundamentals: Courses in accounting, marketing, operations management, and strategic decision-making.
  • AI Foundations: Programming, data structures, machine learning, and robotics.
  • Ethics in AI: A dedicated course addressing ethical considerations in AI applications.

Industry-Relevant Skill Development
Students graduate with expertise in:

  • Leveraging AI within organizations to enhance societal value.
  • Developing new AI-powered products and services with a realistic understanding of AI’s capabilities and limitations.
  • Driving analytics-driven decision-making and strategy, maximizing the value of organizational data assets.

Hands-On Learning Opportunities
The program emphasizes practical applications through coursework, projects, and industry engagement, ensuring students are well-prepared to implement and scale AI solutions in real-world business environments.

Career-Ready Graduates
This degree equips students to excel in roles such as AI consultant, analytics strategist, and innovation leader, where they can conceptualize and execute cutting-edge AI initiatives within diverse industries.


Note on Program Information

The graduation rates and net price (the total cost of attendance minus grants and scholarships) provided in this list were sourced from College Navigator in late 2024. These figures represent the most timely information available at the time of publication. Readers are encouraged to visit the official websites for each program to access the most accurate and up-to-date information about costs, graduation rates, and other program details.

Tips for Finding the Right Program

Selecting the right bachelor’s in artificial intelligence program is a crucial step toward achieving your career goals. Here are key factors to consider when evaluating programs to ensure they align with your needs and aspirations:

Identify Personal Career Goals

Determine which area of AI excites you most—whether it’s machine learning, robotics, data science, or another specialization. Look for programs that emphasize these focus areas in their curriculum and research opportunities.

Research Faculty Expertise and Alumni Success

Faculty members with real-world experience and active research in AI can provide valuable insights and mentorship. Additionally, programs with a track record of successful alumni can offer strong networking opportunities and inspire confidence in the program’s quality.

Evaluate Program Focus Areas

AI programs may emphasize different topics, such as deep learning, computer vision, or natural language processing. Ensure the program’s curriculum matches your interests and includes hands-on projects that simulate real-world applications.

Verify Accreditation and Industry Connections

Accreditation assures quality education and industry recognition. Additionally, programs that have partnerships with leading tech companies or offer internships provide excellent pathways to professional opportunities.

Consider Format Options

Evaluate whether an on-campus or online program best suits your lifestyle and commitments. Many online AI programs provide flexibility, but consider how they address practical components like labs or internships.

Examine Tuition and Financial Aid

Understand the total cost of attendance, including tuition, fees, and materials. Look for financial aid opportunities such as:

  • Scholarships for STEM students.
  • Grants and fellowships from universities or tech organizations.
  • Employer-sponsored tuition assistance programs.

Assess Geographic Relevance

Even for online programs, geography can play a role in access to internships, on-site labs, and regional networking events. Research whether the program has strong ties to the local tech industry or relevant resources in your area.

Explore School Size and Culture

Smaller schools may offer more personalized attention, while larger institutions might have more robust research facilities and a wider range of courses. Visit campuses or speak with current students to determine which environment feels right for you.

Investigate Practical Support Opportunities

Look for programs that provide:

  • Internship placements to gain real-world experience.
  • Career services to help with job placement after graduation.
  • Capstone projects that allow you to showcase your skills to potential employers.

By thoroughly evaluating these factors, you can choose a program that not only provides a solid educational foundation but also positions you for long-term success in the exciting field of artificial intelligence.

Benefits of Earning a Bachelor’s in Artificial Intelligence

A bachelor’s degree in artificial intelligence (AI) equips students with specialized knowledge and skills in a field driving transformative change across industries. Here are some of the top advantages of pursuing this degree:

Specialized Knowledge in a High-Demand Field

AI-focused programs go beyond general computer science, offering advanced training in:

  • Machine Learning: Designing algorithms that enable machines to learn from data.
  • Neural Networks: Understanding the architecture behind AI’s decision-making processes.
  • Data Science: Managing and analyzing massive datasets for actionable insights.
  • Robotics: Building intelligent systems for automation and problem-solving.

This specialized education positions graduates for cutting-edge roles in AI and related fields.

Career Opportunities in Diverse Industries

AI is a versatile field with applications in nearly every industry. Graduates can explore opportunities in:

  • Technology: Developing AI models for software and hardware innovations.
  • Healthcare: Assisting with medical diagnostics, predictive analytics, and patient care automation.
  • Finance: Enhancing fraud detection, risk management, and algorithmic trading.
  • Retail and E-Commerce: Optimizing supply chains, personalizing customer experiences, and managing inventory.

Strong Earning Potential

AI professionals are among the highest-paid in the tech industry. A bachelor’s in artificial intelligence provides a pathway to lucrative entry-level positions, with potential for salary growth as experience and expertise deepen. Salaries often vary by location, industry, and specific role.

Room for Career Advancement

The foundational knowledge gained from an AI degree opens doors to further career growth through:

  • Advanced Education: Pursuing a master’s or Ph.D. in AI, machine learning, or data science.
  • Specialized Certifications: Gaining expertise in specific AI tools and technologies.
  • Leadership Roles: Transitioning to management positions or leading AI projects.

Preparing for the Future

AI continues to evolve rapidly, and professionals trained in its principles are at the forefront of technological advancement. Graduates with a bachelor’s in artificial intelligence are well-positioned to contribute to transformative projects shaping the future of industries and society.

Job Roles and Career Outlook for AI Graduates

A bachelor’s in artificial intelligence equips graduates with the skills to pursue various high-demand careers. As AI continues to transform industries, job opportunities are expected to expand rapidly. Below are some potential career paths and insights into the job market for AI professionals.

Potential Job Titles

Graduates with a degree in artificial intelligence can qualify for roles such as:

  • AI Developer: Designing and implementing AI algorithms and models for various applications.
  • Machine Learning Engineer: Building and optimizing machine learning systems and pipelines.
  • Data Scientist: Analyzing and interpreting large datasets to derive actionable insights using AI tools.
  • Robotics Engineer: Developing and maintaining autonomous systems and robotics solutions.
  • AI Product Manager: Overseeing the development and deployment of AI-driven products and services.

Salary Expectations

According to recent data from the U.S. Bureau of Labor Statistics (BLS), the median annual salary for computer and information research scientists, a role closely aligned with AI development, was $145,080 in May 2023. Median annual salaries for other relevant positions include: 

Software Developers — $132,270

Data Scientists — $108,020

Industries Hiring AI Professionals

AI is a versatile field with opportunities in various sectors, including:

  • Technology: Leading innovations in machine learning, natural language processing, and neural networks.
  • Healthcare: Developing predictive models for diagnosis and treatment planning.
  • Finance: Automating processes like fraud detection and algorithmic trading.
  • Manufacturing: Improving production efficiency and implementing robotics.
  • Transportation: Advancing autonomous vehicle technologies and logistics systems.

Job Growth and Demand

Emerging fields like autonomous systems, smart cities, and AI ethics are creating new job opportunities for graduates. The demand for AI professionals is expected to grow as more industries adopt AI technologies to improve efficiency and gain a competitive edge. Employment for computer and information research scientists is projected to grow by 26% from 2023 to 2033, far exceeding the average growth rate for all occupations. Job growth expectations for other relevant positions include: 

Software Developers — 17% from 2023 to 2033

Data Scientists — 36% from 2023 to 2033

Career Advancement Opportunities

AI is a field with significant potential for growth and specialization. As professionals gain experience, they may pursue roles in AI research, leadership positions, or niche areas like AI ethics, quantum computing, or edge AI systems.

FAQ about Bachelor’s in Artificial Intelligence Programs

Is a bachelor’s degree sufficient to start a career in AI?

Yes, a bachelor’s in artificial intelligence can qualify graduates for entry-level roles such as AI developer, data analyst, or machine learning engineer. However, some advanced positions or research-based roles may require a master’s or Ph.D. in a related field. Employers also value certifications and practical experience, so internships and online courses can further enhance your qualifications.

Are online programs credible?

Yes, many online programs, especially those accredited by recognized bodies like ABET, are highly credible. Employers often prioritize the skills and knowledge you bring to the role rather than the program format. When choosing an online program, ensure it includes hands-on components such as capstone projects or access to virtual labs.

How does a bachelor’s in AI differ from related degrees like computer science or data science?

While computer science and data science degrees cover broad technical skills, a bachelor’s in AI focuses specifically on machine learning, neural networks, robotics, and advanced algorithms. AI degrees provide specialized training in developing and deploying intelligent systems, making them ideal for careers centered on automation and innovation.

What should I look for in an AI program?

Key factors to consider include:

  • Curriculum that aligns with your career goals.
  • Opportunities for hands-on learning, such as internships or research.
  • Support services, such as career counseling and mentoring.

Exploring Your Path in Artificial Intelligence

A bachelor’s in artificial intelligence opens the door to one of the most dynamic and rapidly growing fields in technology. By equipping yourself with the right education, skills, and experience, you can position yourself for a rewarding career in industries shaping the future. Whether you’re drawn to robotics, machine learning, or data-driven innovation, the key to success is finding a program that aligns with your aspirations and prepares you for the challenges and opportunities ahead.

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