Admit Predictor Tool

Find your perfect US university match in just 1 min

Why Choose GyanDhan

Historical Data Points

2,00,000+

Why Choose GyanDhan

Shortlist University in

Just 1 Min

Why Choose GyanDhan

Profiles Evaluated

50,000+

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General

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Academic

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Exam Details

Gender of applicant
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How Does the Profile Evaluator Work?

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Our online profile evaluation tool is designed to evaluate the profiles of students who want to pursue an MS in the US. The profile evaluation for MS is done based on a student’s bachelor's percentage/GPA, GRE, and TOEFL/IELTS 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 for that dream admit.
It'll take just two minutes to fill your details and get personalised results. Here's how:
  • list items Basic Details: Quickly provide essentials like your email and phone number.
  • list items Test Scores: Input your GRE score, followed by your English TOEFL/IELTS score.
  • list items Academic Record: Share key academic details, including the GPA scale, GPA score, and your class's highest GPA.
  • list items Details of Bachelor's Degree: Mention your university and year of passing bachelor's degree.
  • list items Target Course Details: Outline specifics about your desired course.
  • list items Additional Information: Conclude by sharing extra details like the term of the target course, preferred year of admission, and your dream university.
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    What is Profile Evaluation?

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    Profile evaluation involves analyzing a student's academic and test score data to determine their likelihood of admission to specific universities. This evaluation helps in identifying the best-fit universities for a student's profile.

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    Importance of Profile Evaluation

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  • list items Enhances strategic planning by identifying universities that align with the student's academic achievements and career goals based on your MS profile evaluation.
  • list items Increases the effectiveness of application efforts by focusing on institutions where admission is more probable.
  • list items Guides in managing application resources efficiently, such as time and application fees thus act as a university shortlisting tool.
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    Benefits of Profile Evaluation

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  • list items Assists in customizing application documents to appeal to specific university criteria.
  • list items Provides a realistic assessment of the student’s standing in comparison to other applicants.
  • list items Offers actionable feedback, like improving standardized test scores or gaining relevant experience, to boost competitiveness.
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    How to Best Use the Tool to Evaluate Your Profile for MS in US?

    GD's profile evaluator tool gives you 3 key outputs:

    1. Receive a curated list of 12 universities categorized into safe, moderate, and ambitious choices based on your profile's admit probability.
    2. Explore detailed insights for each university, including Percentile, Major-wise University Rank, Class Percentage, GRE Quant Median, and GRE Verbal Median. This helps you make informed decisions on where to apply.
    3. Gain valuable guidance on enhancing your profile for a higher chance of admission. The tool assesses whether a GRE retake is necessary and compares your GPA with the university's median GPA, offering suggestions to strengthen your application.

    Note:The MS Admit Predictor Tool focuses on academic aspects and doesn't consider work experience. Relevant work experience in the field you are applying increases your chances of getting admission.

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    Frequently Asked Questions

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    Is this another admit predictor on the market?

    Definitely not. Unlike all the admit predictor out there, we go beyond Safe/Ambitious/Moderate by providing admit probability for each university.

    How reliable are the admit probabilities for each schhol?

    Pretty reliable. Your profile is computed using insights from thousands of historical data points.

    Every model depends upon the quality of data used. What can you tell about your data collection?

    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.

    What is the interpretation of percentile chart you are showing?

    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.

    Why does your average acceptance differ from USNews and other websites?

    US News 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.

    What is class percentage?

    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.

    How do I interpret metrics such as Median Class percentage, Median GRE Quant, and Median GRE Verbal? Why should I be concerned about them?

    In the US, different universities have different criteria for admission. Some universities give 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!

    Which Machine Learning model you are using to show me admit probabilities?

    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.

    I know for a fact, that work experience matters a lot. Why are you are not taking work experience into account?

    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.

    Why are you are not taking research publications into account?

    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.

    Other sites incorporate SOP and LOR and strength in their profile evaluators. Why are you not including them?

    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.

    I don't see my bachelor's university included. What can I do?

    Please let us know by mailing us at [email protected], and we'll do our best to include your university as soon as possible.

    What about other countries and courses?

    We are working on expanding our admit predictor to other countries as well. Please register here to receive an update when that happens.