Acceptance Estimator

for Computer Science Graduate Admissions

This page is a mirror of

This estimator is intended to help you evaluate your chances of acceptance for graduate study in Computer Science at various North American universities, so that you may better target your applications. Estimates provided are based on information gathered from public web sites in October 2016. The model uses a number of questionable assumptions; for details follow the About link below. These estimates are intended as a general guide only. Users are encouraged to examine the individual home pages for the departments listed.

It will be most useful for students going directly from their undergraduate degree to graduate school and planning to attend a research school but undecided as to whether to continue for a Ph.D.

This represents an attempt to model the behavior of computer science graduate admission committees. It was developed at the Department of Computer Science at UT El Paso and is provided as a service to the computer science community.

This calculator requires JavaScript. It appears to work on Firefox 2+, Internet Explorer 6+, Chrome 6+ and Safari 4+.

GRE Scores

Verbal     (130-170 or 200-800)
Quantitative     (130-170 or 200-800)
Analytical Writing     (0.0-6.0)


Undergraduate GPA  

Grading System
US 4 point scale
Mexican 10 point scale
Mexican 100 point scale
Indian 100 point scale (%)
other (converted to 4 point scale)

Other     (optional)             (instructions are below)

Letters of Recommendation

Leading recommender is a

observing you as a

describing you as a

Statement of Purpose

Undergraduate Major

Alignment with Institutional Needs

Financial Preparation

CS-Only GPA or Recent GPA

Instructions for Optional Items

Recommender is a ...
This is a measure of the respectability and wisdom of the recommender(s), as felt by the admissions committee. Letters from people who are intellectually and geographically closer to the committee will be felt more believable. Recommendations not from CS faculty members may be counted a couple notches lower. In case of multiple letters, enter the believability of the recommender who knows the most about you.
observing you as a ...
This is a measure of how much knowledge of your abilities the recommender(s) have. Interpolate from the common cases in the menu, or alternatively, count the number of observed abilities from the list below, multiply by .2, and select the closest value. In case of multiple letters, use the union of abilities the various recommenders have knowledge of.
Some Relevant Abilities: teaching others, being persuasive, working in teams, meeting committments, designing systems, building systems, debugging systems, completing projects, being persistent, finding creative solutions, integrating lots of information, identifying what really matters, being self-motivated, presenting clearly, and writing well.
describing you as a ...
This is the basic measure of how good the recommender(s) think you are as a prospect for graduate school. If they haven't told you, and you're not able to ask directly, you can infer this from the school and career they seem to be steering you towards. For example, advice to go for research career starting at a top-10 graduate school maps to a 3 on this scale, and advice to start with a masters at any top-100 school maps to a 2.

back to top

Statement of Purpose
An exceptional statement of purpose typically is one that indicates unusual life experiences and a realistic life plan, and relates both to likely success in graduate school.
Alignment with Institutional Needs
Applicants who align with the research or diversity goals of the department or school are generally preferred. These factors vary from school to school. It may be possible to glean them from mission and vision statements. Frequently US nationals are somewhat favored. Many public schools also favor in-state applicants.

back to top

Navigation:         Data Entry         Department List         Links         About