Programs Best double major for Artificial Intelligence?

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SUMMARY

The optimal double major for pursuing a career in artificial intelligence (AI) research is primarily Computer Science, with Computer Engineering as a strong alternative. Mathematics, particularly applied mathematics and statistics, is also crucial, alongside cognitive sciences such as linguistics, psychology, and neuroscience. A solid grounding in neuroscience and cognitive psychology significantly enhances understanding in AI, especially in areas like neural networks. Additionally, engineering is essential for those focusing on robotics, while formal logic and linguistics are vital for natural language processing.

PREREQUISITES
  • Computer Science fundamentals
  • Applied Mathematics and Statistics
  • Cognitive Sciences (Linguistics, Psychology, Neuroscience)
  • Electrical/Computer Engineering principles
NEXT STEPS
  • Research advanced topics in Neural Networks and their applications
  • Explore the intersection of Cognitive Psychology and AI
  • Study Robotics and its integration with AI technologies
  • Learn about Natural Language Processing techniques and methodologies
USEFUL FOR

Students and professionals interested in artificial intelligence research, particularly those considering double majors in Computer Science, Engineering, or Cognitive Sciences.

Philovitist
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Hi, what's the best double major for someone interested in succeeding in artificial intelligence research after college?

Of course, Computer Science is primary. Or is it Computer Engineering? There's also mathematics and its subdivisions (like applied math or statistics), any of the cognitive sciences (linguistics, psych, neuroscience, etc.) and so forth.

I'm also wondering how much extensive grounding in neuroscience or cognitive psychology can inform AI research.
 
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Computer science, and maybe cognitive science if you are intersted in neural networks & brain function. If you are interested in robotics then add engineering. Lots of AI involves formal logic which can be maths (eg proof theory) or even philosophy. Natural language understanding is more linguistics.
 
Depends on the school I guess. The school I went to many of the AI type classes were actually taught under electrical/computer engineering (neural networks, genetic algorithms, expert systems, fuzzy logic). Probably just because the professor who ran the robotics lab and taught a lot of those classes was an ECE professor.
 

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