Comp Sci GRE Scores and Admissions to US Universities

Pursuing a computer science degree in the US requires a strong GRE score, which can be a daunting task for many students. A score of 165 or higher in the Quantitative section is generally considered competitive for top universities.

Many top universities have a low acceptance rate for computer science programs, with some as low as 5%. This means that even a strong GRE score doesn't guarantee admission, but it's a crucial factor in the admissions process.

To give you a better idea, Stanford University's average Quantitative GRE score for the class of 2024 was 169. This is just one example of how GRE scores are used in the admissions process at top universities.

The average GRE Verbal score for top US universities for MS in Computer Science is around 158-162, with some universities like Stanford and Yale having an average score of 162.

MIT requires a strong GRE Quant score, with an average range of 165-169.

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Tuition fees for top US universities can be steep, with some universities like Harvard and Yale charging upwards of $50,000 per year.

Here's a breakdown of the average GRE scores and tuition fees for top US universities:

The acceptance rate for top US universities varies, with some universities like MIT having an acceptance rate of 6.9%.

If you're planning to pursue a Master's in Computer Science, it's essential to know which universities accept GRE scores. Fortunately, there's a long list of universities that consider GRE scores for MS in Computer Science programs. Some of the top universities that accept GRE scores include Columbia University and the University of California.

If you're applying to UCLA, make sure to use the correct GRE institution code, which is 4837. Additionally, the GRE department code is 0402. If you don't use the correct codes, it may take several weeks to match your report to your application, so it's worth double-checking.

Here are some top universities offering specializations in computer science programs:

University Programs offer a range of specializations in Computer Science, including MS in Data Science, which is offered by top universities like Columbia University and University of California.

These programs focus on courses like decision making, statistics, and programming, as well as computational mathematics and visual analytics.

Artificial Intelligence is another popular specialization, with top universities like Carnegie Mellon University, Stanford University, and Massachusetts Institute of Technology offering programs in this field.

Machine Learning is a branch of Artificial Intelligence that involves feeding machines with data, allowing them to learn and work independently.

Deep Learning is related to Machine Learning and deals with creating systems that can memorize patterns and make decisions based on their choices.

If you're interested in Robotics, you can consider universities like University of Pennsylvania and Massachusetts Institute of Technology, which offer programs in this field.

Other specializations in Computer Science include Human-Computer Interaction, which is offered by top universities like Carnegie Mellon University, Georgia Tech, and University of Washington.

Here are some of the top universities and their specializations in Computer Science:

UCLA Institution and Department Codes are crucial for submitting your GRE scores. UCLA's GRE institution code is 4837.

Using the correct codes is essential to avoid delays in matching your report to your application. If you don't use the correct codes, it may take several weeks to match your report, and it's not guaranteed to be done by the deadline.

The Computer Science Department at UCLA requires you to upload student reports to the Graduate Division application and email a copy of your student report to the department.

The Computer Science GRE is a crucial step for many aspiring computer science students. It's a standardized test that assesses your knowledge in computer science and your ability to apply it to real-world problems.

You can expect to be asked questions on topics such as algorithms, data structures, computer systems, and software engineering. The test is designed to evaluate your problem-solving skills and your ability to think critically.

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A strong GRE score can significantly improve your chances of getting into top computer science graduate programs. In fact, many top programs consider GRE scores as one of the key factors in their admissions decisions.

Some of the top computer science graduate programs that require the GRE include Stanford, MIT, and Carnegie Mellon. These programs are highly competitive, and a good GRE score can give you an edge over other applicants.

The GRE test fee is $205 for most test-takers, although some students may be eligible for a fee reduction. You can also choose to take the test in a computer-delivered format or a paper-delivered format.

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