30 Best Artificial Intelligence Colleges in the US 2024

Artificial Intelligence (AI) is a rapidly growing field with vast opportunities. If you’re passionate about AI and want to pursue a degree in this exciting area, choosing the Best Artificial Intelligence Colleges are crucial. Here’s a list of the best colleges for AI in 2024. Each college is listed with its GPA requirements, acceptance rates, entry requirements, professional outcomes, and academic highlights. If you want to get into artificial intelligence, the best college major is usually computer science. This is because AI is a big part of computer science. Another good option is a data science degree. Data science also covers AI skills and is highly sought after in the job market. So, both computer science and data science are great choices for studying AI. The best country for studying AI is the US. It has nearly 60% of the top AI researchers and $249 billion in private funding. China and the UK are also great options. Here are the 30 Best Artificial Intelligence Colleges in the US 2024. Best Artificial Intelligence Colleges listing includes details like GPA requirements, median SAT and ACT scores, acceptance rates, admission requirements, and salary information. We also cover professional outcomes and academic highlights for each college.

30 Best Artificial Intelligence Colleges in the US

1. Massachusetts Institute of Technology (MIT)

GPA: 4.1
Acceptance Rate: 6.7%
Requirements: Strong background in math and science, excellent standardized test scores, extracurriculars.
Professional Outcomes: Graduates often work at top tech companies or pursue advanced research.
Academic Highlights: MIT is known for cutting-edge AI research, a strong emphasis on machine learning, and world-class faculty.

2. Stanford University

GPA: 3.9
Acceptance Rate: 4.3%
Requirements: High GPA, strong letters of recommendation, significant achievements in science and technology.
Professional Outcomes: Alumni frequently join leading AI companies, startups, or pursue entrepreneurial ventures.
Academic Highlights: Stanford offers extensive resources, including labs and AI-focused research centers.

3. Carnegie Mellon University

GPA: 3.8
Acceptance Rate: 15.4%
Requirements: Rigorous coursework in computer science, excellent programming skills.
Professional Outcomes: Graduates are highly sought after by top tech firms and research institutions.
Academic Highlights: Renowned for its AI research and robotics programs, with numerous collaboration opportunities.

4. University of California, Berkeley

GPA: 3.8
Acceptance Rate: 17.5%
Requirements: High academic achievement in relevant subjects, strong recommendations, research experience.
Professional Outcomes: Many graduates go into tech giants, research, or continue with advanced degrees.
Academic Highlights: Offers a broad range of AI courses and research projects in AI ethics and machine learning.

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5. Harvard University

GPA: 3.9
Acceptance Rate: 5.2%
Requirements: Exceptional academic record, impactful extracurricular activities, strong essays.
Professional Outcomes: Graduates often enter high-level research positions or strategic roles in AI.
Academic Highlights: Focuses on interdisciplinary AI applications, combining technology with other fields like healthcare and social sciences.

6. University of Toronto

GPA: 3.7
Acceptance Rate: 43%
Requirements: Strong performance in mathematics and computer science courses.
Professional Outcomes: Graduates frequently work in AI research, tech development, or advanced studies.
Academic Highlights: Known for its pioneering work in deep learning and neural networks.

7. University of Washington

GPA: 3.6
Acceptance Rate: 33.4%
Requirements: Solid academic background in relevant fields, research experience is a plus.
Professional Outcomes: Many graduates join tech companies in the Seattle area, such as Microsoft and Amazon.
Academic Highlights: Offers robust AI and machine learning programs, with strong industry connections.

8. California Institute of Technology (Caltech)

GPA: 4.0
Acceptance Rate: 6.4%
Requirements: Exceptional performance in STEM subjects, strong test scores, research experience.
Professional Outcomes: Graduates are highly sought after for research roles and positions in tech startups.
Academic Highlights: Caltech’s small size allows for personalized attention and access to advanced research opportunities.

9. Georgia Institute of Technology

GPA: 3.7
Acceptance Rate: 21.3%
Requirements: Strong academic background, especially in computer science and mathematics.
Professional Outcomes: Graduates frequently work in AI roles at leading tech companies or continue with research.
Academic Highlights: Known for its AI research, including robotics and machine learning.

10. University of California, Los Angeles (UCLA)

GPA: 3.7
Acceptance Rate: 12.7%
Requirements: High GPA, strong background in math and science, research experience is beneficial.
Professional Outcomes: Graduates often work in tech hubs like Silicon Valley, in roles ranging from AI engineering to research.
Academic Highlights: Offers a wide range of AI courses and research projects, focusing on innovative applications of AI.

11. University of Illinois at Urbana-Champaign

GPA: 3.5
Acceptance Rate: 44%
Requirements: Solid academic performance, particularly in STEM fields.
Professional Outcomes: Graduates are well-prepared for careers in AI development and research.
Academic Highlights: Strong emphasis on practical AI applications and machine learning.

12. University of Michigan, Ann Arbor

GPA: 3.6
Acceptance Rate: 26.1%
Requirements: Strong academic record, research experience, extracurricular involvement in tech.
Professional Outcomes: Graduates frequently enter top tech companies or advanced research roles.
Academic Highlights: Offers comprehensive AI programs with a focus on interdisciplinary applications.

13. Princeton University

GPA: 3.9
Acceptance Rate: 5.6%
Requirements: Exceptional academic record, strong recommendations, significant research or project experience.
Professional Outcomes: Graduates often pursue research or strategic roles in AI.
Academic Highlights: Focus on theoretical and applied AI, with strong faculty support.

14. University of Texas at Austin

GPA: 3.6
Acceptance Rate: 31.8%
Requirements: Strong performance in computer science and mathematics, relevant extracurriculars.
Professional Outcomes: Graduates often work in AI roles at leading tech firms or continue with research.
Academic Highlights: Known for its research in AI and machine learning, with numerous industry collaborations.

Best Artificial Intelligence Colleges

15. University of Edinburgh

GPA: 3.5
Acceptance Rate: 45%
Requirements: Strong background in relevant subjects, good test scores, research experience.
Professional Outcomes: Graduates frequently enter AI research or tech development roles.
Academic Highlights: Offers a wide range of AI courses and research opportunities, known for its work in robotics and natural language processing.

16. University of California, San Diego

GPA: 3.6
Acceptance Rate: 34.3%
Requirements: Solid academic record in STEM fields, extracurricular involvement in tech.
Professional Outcomes: Graduates often work in AI engineering, research, or tech development.
Academic Highlights: Strong emphasis on AI applications in healthcare and biotechnology.

17. Columbia University

GPA: 3.8
Acceptance Rate: 6.1%
Requirements: High academic achievement, strong recommendations, significant research experience.
Professional Outcomes: Graduates frequently join top tech companies or pursue advanced research.
Academic Highlights: Focuses on interdisciplinary AI applications and cutting-edge research.

18. University of Southern California (USC)

GPA: 3.6
Acceptance Rate: 16.3%
Requirements: Strong academic background, particularly in STEM subjects.
Professional Outcomes: Graduates often work in tech hubs or continue with advanced AI research.
Academic Highlights: Known for its AI research, especially in entertainment and gaming technologies.

19. University of Maryland, College Park

GPA: 3.6
Acceptance Rate: 37.1%
Requirements: Solid academic performance, research experience, relevant extracurriculars.
Professional Outcomes: Graduates frequently enter AI development or research roles.
Academic Highlights: Offers a strong AI program with a focus on machine learning and cybersecurity.

20. University of Oxford

GPA: 3.8
Acceptance Rate: 17.5%
Requirements: High academic achievement, strong test scores, significant research experience.
Professional Outcomes: Graduates often pursue advanced research or high-level tech roles.
Academic Highlights: Focus on both theoretical and applied AI, with extensive research opportunities.

21. University of Cambridge

GPA: 3.8
Acceptance Rate: 21.0%
Requirements: Exceptional academic record, strong recommendations, significant research experience.
Professional Outcomes: Graduates frequently enter top tech firms or pursue further research.
Academic Highlights: Known for pioneering work in AI and machine learning.

22. New York University (NYU)

GPA: 3.7
Acceptance Rate: 12.8%
Requirements: High GPA, strong background in math and computer science.
Professional Outcomes: Graduates often work in AI roles in finance, tech, and startups.
Academic Highlights: Offers a broad range of AI courses, focusing on practical applications and industry connections.

23. University of Toronto

GPA: 3.7
Acceptance Rate: 43%
Requirements: Strong performance in mathematics and computer science courses.
Professional Outcomes: Graduates frequently work in AI research, tech development, or advanced studies.
Academic Highlights: Known for its pioneering work in deep learning and neural networks.

24. University of Melbourne

GPA: 3.6
Acceptance Rate: 41%
Requirements: Strong academic background, particularly in relevant subjects.
Professional Outcomes: Graduates often work in AI research or development roles.
Academic Highlights: Offers comprehensive AI programs with a focus on innovation and real-world applications.

25. University of Tokyo

GPA: 3.7
Acceptance Rate: 20.1%
Requirements: High academic achievement, strong recommendations, research experience.
Professional Outcomes: Graduates frequently enter research or strategic roles in AI.
Academic Highlights: Focuses on interdisciplinary AI applications, leveraging its strong engineering programs.

26. EPFL (École Polytechnique Fédérale de Lausanne)

GPA: 3.7
Acceptance Rate: 22%
Requirements: Strong academic background, particularly in STEM subjects, relevant extracurriculars.
Professional Outcomes: Graduates often work in AI research or tech development.
Academic Highlights: Known for its innovative AI research and cutting-edge facilities.

27. University of Sydney

GPA: 3.6
Acceptance Rate: 45%
Requirements: Solid academic performance, particularly in relevant subjects.
Professional Outcomes: Graduates frequently enter AI research or tech development roles.
Academic Highlights: Offers a strong AI program with a focus on real-world applications and innovation.

28. National University of Singapore (NUS)

GPA: 3.7
Acceptance Rate: 25%
Requirements: High academic achievement, strong test scores, significant research experience.
Professional Outcomes: Graduates often pursue advanced research or high-level tech roles.
Academic Highlights: Focuses on both theoretical and applied AI, with extensive research opportunities.

29. University of California, Irvine

GPA: 3.6
Acceptance Rate: 27%
Requirements: Strong academic performance, particularly in STEM fields.
Professional Outcomes: Graduates often work in AI engineering, research, or tech development.
Academic Highlights: Offers comprehensive AI programs with a focus on innovation and real-world applications.

30. University of British Columbia (UBC)

GPA: 3.7
Acceptance Rate: 52%
Requirements: Strong background in math and computer science, good test scores.
Professional Outcomes: Graduates frequently work in AI research, tech development, or advanced studies.
Academic Highlights: Known for its innovative AI research and extensive industry connections.

Best university for Artificial Intelligence – Conclusion

Choosing the right college for an AI degree can significantly impact your career. The schools listed above offer strong academic programs, excellent professional outcomes, and unique opportunities for hands-on learning and research. Whether you aim to work in industry, academia, or start your own AI venture, these colleges provide a solid foundation to achieve your goals. Make sure to consider each school’s specific strengths and how they align with your personal and professional aspirations.