* The specific university: Top-tier universities like MIT, Stanford, Carnegie Mellon, etc., will have far higher average and expected GRE scores than less selective institutions.
* The specific program: Even within a single university, different computer science programs (e.g., AI, cybersecurity, theory) might have subtly different admission criteria.
* Your overall application: A strong GPA, impressive research experience, compelling letters of recommendation, and a well-written statement of purpose can often compensate for a slightly lower GRE score. Conversely, a weak application in other areas might not be saved by a high GRE score.
Instead of focusing on a specific GRE score, concentrate on achieving the *best* score you possibly can. Research the programs you're interested in and look at their average GRE scores for admitted students (often available on their websites or through unofficial sources like GradCafe). Aim to score above the average, but remember that the GRE is just one piece of the puzzle.