United States of America offers this program with expensive tuition costs, the lifestyle expenses in the country is also not affordable to all. Endowments opportunities are provided by few universities in USA however with a highly competitive subject such as AI it is considerably difficult. Generic scholarships are available for MS courses in USA that one can always apply for. One can apply for education loans as many organizations and bank provide financial assistance specifically for this program.
GRE entrance exam is required to enrol in the universities of USA for pursuing Masters in Artificial Intelligence. English proficiency test IELTS (6.5) or TOEFL (89) scores are also a mandatory primary requirement.
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1. Carnegie Mellon University (Pittsburgh, PA)
2. Stanford University (Stanford, CA)
3. Massachusetts Institute of Technology “MIT” (Cambridge, MA)
4. University of California, Berkeley (Berkeley, CA)
5. Harvard University (Cambridge, MA)
6. Yale University (New Haven, CT)
7. Cornell University (Ithaca, NY)
8. University of Maryland (College Park, MD)
9. Columbia University (New York City, NY)
10. University of Texas (Austin, TX)
11. University of California, Los Angeles (Los Angeles, CA)
12. University of Michigan (Ann Arbor, MI)
13. Georgia Institute of Technology (Atlanta, GA)
14. University of Massachusetts (Amherst, MA)
15. University of Illinois (Urbana/Champaign, IL)
16. University of Pennsylvania (Philadelphia, PA)
17. University of Southern California (Los Angeles, CA)
18. California Institute of Technology (Pasadena, CA)
19. University of Wisconsin (Madison, WI)
20. University of Georgia (Athens, GA)
Artificial Intelligence is usually conceived of as doing more than just computing numbers, such as a calculator, but is more conceptual in nature, such as describing subjective qualities, or giving meanings to different contexts.
An example of Artificial Intelligence would be speech recognition, and communicating accordingly, done by machines, such as Apple’s Siri and Amazon’s Alexa. It also means that machines can learn and adapt to different sets of circumstances and environments in which they’re placed. Examples of this would be machines that have learned to play and beat humans in games, such as chess and No Limit Texas Hold ‘Em.
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