GRE Score for MS in Computer Science: What You Need to Know

If you’re aiming to pursue a master’s in computer science abroad, having a competitive GRE score for MS in Computer Science is essential. While not all universities mandate it, most top-ranked institutions consider your GRE performance as a major part of their evaluation. This guide outlines what’s considered a good score, how it impacts your application, and tips to achieve your target.

Is a GRE Score Necessary for an MS in Computer Science?

If you’re planning to pursue a Master’s in Computer Science from top global universities, having a strong GRE score for MS in Computer Science is often essential. While a few elite institutions like MIT may not require the GRE, most top-ranking universities still consider it a critical part of the admission process.

The GRE for Master’s in Computer Science serves as a standardized way to evaluate your academic potential, much like your GPA. It allows universities to assess your quantitative, analytical, and verbal reasoning skills. Without a competitive GRE score, your chances of securing admission to leading universities could be limited. Therefore, preparing well for the GRE can significantly strengthen your overall application.

Read more: Which is easier GMAT or GRE: A Comprehensive Comparison!

Components of the GRE exam

There are a total of three sections in the GRE (verbal, analytical, and quantitative), and you need to score a certain marks in the individual sections to increase your chances of getting into a good university.

Quantitative Reasoning

This is the most crucial section when it comes to the GRE for Masters in Computer Science. Most universities prioritize this score because of its relevance to technical and analytical subjects. To be eligible for leading institutions, you should aim for a score of at least 165, with 170 being the highest possible.

Verbal Reasoning

Though not as critical as the quantitative section, a good verbal reasoning score can help differentiate you from other applicants. The average score is around 150, but aiming for 155 or higher will strengthen your application.

Analytical Writing

The analytical writing section is scored on a scale of 0 to 6. While it’s not the top priority for computer science programs, a score of 3.5 or above is recommended. It demonstrates your ability to communicate ideas clearly—an important skill in any graduate program.

GRE for Master’s in Computer Science at Top US Universities

If you’re planning to pursue a master’s degree in computer science, achieving a competitive GRE score for MS in Computer Science is essential. Below is a list of leading U.S. universities offering an MS in Computer Science, along with their expected GRE score ranges for admission:

University	Average GRE Verbal	Average GRE Quant	Acceptance Rate (%)
MIT	158–162	165–169	6.9
Stanford University (Master’s)	162	166	4.4
Carnegie Mellon University	159	152	17.1
University of California, Berkeley	160	164	14.8
Harvard University	155–166	161–170	4.7
Princeton University	157–161	167	5.5
UCLA	156	168	14
University of Washington	153–161	154–168	15
Columbia University	158	166	5.9
New York University (NYU)	153	160	20
University of Texas, Austin	158–161	162–165	38.5
University of Illinois	155	159	62.2
University of Pennsylvania	155	161	8.4
University of Southern California	151–162	155–167	13
Yale University	162	166	6.3

List of Computer Science Programs in GRE Accepting Universities

If you’re planning to pursue a master’s degree in Computer Science, many GRE-accepting universities offer a variety of specialised programs. These specializations not only align with current industry demands but also provide deep insights into focused areas like Artificial Intelligence, Data Science, and Robotics.

 

Course	Top GRE Accepting Universities	Course Overview
MS in Data Science	Columbia University, University of California	Covers decision-making, statistics, programming, computational math, and visual analytics.
Database Management Systems	University of Maryland, Arizona State University	Focuses on defining, managing, updating, and retrieving data from structured databases.
Artificial Intelligence	Carnegie Mellon University, Stanford University, MIT	Teaches development of intelligent systems that operate with minimal human intervention.
Machine Learning	Carnegie Mellon University, Stanford University, MIT	A subfield of AI; involves training machines to learn and adapt from data without explicit programming.
Deep Learning	Carnegie Mellon University, Stanford University, MIT	An advanced form of ML, focusing on neural networks and pattern recognition to support decision-making.
Robotics	University of Pennsylvania, Massachusetts Institute of Technology (MIT)	Combines mechanical design and computer systems to build intelligent, responsive robots.
Human-Computer Interaction (HCI)	Carnegie Mellon University, Georgia Tech, University of Washington	Studies the design and usability of systems, focusing on improving user experience and interaction.

What is an Ideal GRE Score for MS in Computer Science?

When it comes to the GRE for a Master’s in Computer Science, a score of 290 or above is generally considered acceptable. However, for admission into an average university, a GRE score of 320+ is often recommended.

For top-tier universities, an ideal GRE score for an MS in Computer Science would be 330 or higher, particularly with a strong score in the Quantitative Reasoning section. This section holds significant weight in computer science programs.

To maximize your chances, focus primarily on the Quant section, but don’t overlook Verbal Reasoning, which is also a scoring opportunity. Balancing both sections can help you secure a spot in the best GRE-accepting universities offering an MS in CS.

Key Takeaways

• A strong GRE for Masters in Computer Science is crucial for securing admission into top global universities.
  
  
• Quantitative Reasoning is the most important section for computer science applicants, so aim for a high score in this part.
  
  
• The GRE exam comprises three sections: Quantitative Reasoning, Verbal Reasoning, and Analytical Writing.
  
  
• To improve your chances of acceptance into leading universities offering MS in Computer Science, you should target a GRE score of 320+.
  
  

We hope you enjoyed reading this blog. In case of any queries, or assistance with your GRE prep, reach out to us or drop a comment below!

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FAQs

Question 1. Is 316 a good GRE score for MS in Computer Science?

Answer. A GRE score of 316 for MS in Computer Science is considered moderate. While it may be acceptable for several mid-tier universities, top-ranking institutions typically prefer a GRE score above 325. 

Question 2. Is a GRE score of 320+ easy?

Answer. Since the average GRE score ranges between 300 and 311, receiving more than 320 as your GRE score is no easy feat. Therefore, if you score more than 320 on the GRE, then it can help you take admission to better universities and courses. Additionally, a ‘good GRE score’ depends on your target university since it varies with the institution.

Question 3. What is the lowest acceptable GRE score?

Answer. The lowest acceptable GRE score is typically considered to be 260, which is the minimum possible score on the test. While most universities prefer scores between 300 and 311, some may consider applications starting from 260, depending on the program and institution. However, a score below 260 is not accepted by any university.