GyanDhan's Profile Evaluation Tool




What was the highest GPA in your class on the same scale ?





Disclaimer: Your Statement of Purpose and Letters of Recommendation, which we don't evaluate here, are important parameters in deciding whether you get an admit. Our probabilities assume a median quality SOP and LOR. So, prospective students should ideally use this tool to identify a few safe (>75% probability), moderate (40%-75%), and ambitious (<40%) schools, and then do their best in SOP and LORs.


 

Our online profile evaluation tool is designed to evaluate the profiles of students who want to pursue MS in the US. The profile evaluation for MS is done based on a student’s undergrad percentage/GPA, GRE, and TOEFL scores. This free profile evaluation tool helps you shortlist the right set of universities to apply to, so you can optimize your efforts in the quest of that dream admit.

How our Admit Predictor tool works

You need to first enter the basic details like email, phone number, etc. Then the second step is to input the GRE score followed by the English TOEFL/IELTS score. After this, you would be asked to input your academic record - consisting of the GPA scale, GPA score, and the highest GPA in the class. Then, the undergrad details are asked wherein you would need to mention your school, major, and year of graduation. This is followed by the details of your target course. And finally, the last step consists of additional information like the term of the target course, target year of admission, and dream college.

How best to use the Profile Evaluator

The profile evaluator tool gives 3 key outputs:

  1. A list of 12 colleges, which are further classified into safe, moderate and ambitious categories, as per your profile’s probability of securing an admit from these universities.
  2. For each of these schools, we provide further details like Percentile (i.e. your rank amongst past successful admits), Major wise University Rank, Class Percentage, GRE Quant Median, and GRE Verbal Median. These parameters help you to better gauge your chances of success and you can easily filter out which colleges to apply for.
  3. The GyanDhan Admit Predictor also helps you to understand as to how your profile can be further improved to secure an admit in your target college. It can guide you whether you need to retake the GRE or not, in order to improve your chances of landing an admit in your preferred university. It also compares your GPA with the median GPA of the successful applicants of your target university. In case, your GPA falls short of the median GPA then the other areas of your application which can add weight to your profile are suggested by the tool.

Note: It also ought to be noted that the MS Admit Predictor does not take into account your work experience and your projects. As mentioned in our blog about the importance of work experience, relevant work experience in the field you are applying increases your chances of getting admission. We have not been able to find reliable data on relevant work experience yet. We’re on the look-out and hope to add this feature to our model.

Use our smart MS Profile Evaluation Free tool to build up your target universities list and increase your chances of landing an admit from your dream university!

Definitely not. Unlike all the admit predictor out there, we go beyond Safe/Ambitious/Moderate by providing admit probability for each college.
Pretty reliable. Your profile is computed using insights from thousands of historical data points.
Several students contributed to this initiative by sharing their info through surveys. In total, we reached out to 15,000 applicants in the GyanDhan community. Many students gave us access to Google spreadsheets, where past students had voluntarily entered their admit-related information.
Our percentile chart shows how your rank amongst the past successful applicants. For eg: an 80% percentile for ASU MS in CS means that you're in the top 20% of all past admits to MS in CS @ ASU.
USNews shows average acceptance of all students globally. Most profile evaluators are not specialized for Indian students. We have computed acceptance ratio for Indian students from our data and from ASEE.
Different universities in India have different grading norms resulting in a wide variation in median scores. US universities are aware of this, and treat grades from a given Indian university relative to the topper's grade. Class Percentage is your relative grade: (your GPA)/(Your univ's topper's GPA). Note that topper's GPA may be computed from our historical data and not necessarily from the info you have provided.
  • These are the average score of past successful applicants.
  • In the US, different colleges have different criteria for admission. Some college gives more weightage to high grades, others to high GRE quant scores etc. If your scores are higher than the medians of past admits, then you're in good shape - just ace your SOP and you're in!
We tried different Machine learning models, after training our model and evaluating it on different test datasets, we concluded that a Hybrid Model (of Logistic regression and Random Forest) was outperforming the others.
As mentioned in our previous post about the importance of work experience, relevant work experience in the field you are applying increases your chances of getting admission. We have not been able to find reliable data on relevant work experience yet. We’re on the look-out and hope to add this feature to our model.
We could not find enough data to find a correlation between admission and research publication. We are still trying to gather data to include publication in our admit model.
LORs provided by recommenders is not shared with anyone (not even the student) except for university. Students who provided us their admit info were reluctant to share their SOPs. Further, any rating given by students to their own work is not objective.
Please let us know by mailing us at contact@gyandhan.com, and we'll do our best to include your college as soon as possible.
We are working on expanding our admit predictor to other countries as well. Please register here to receive an update when that happens.