| B-School | Profile Match | Cut-off Reqd for your Profile | Shortlist Criteria |
| IIM CAP | NA | 92.62 | Only CAT %ile is considered. No sectional cut offs. |
| IIM-A PGP | Strong | 92.81 | CAT-65% 10th,12th, Grad is 10% each and Work ex is 5%. Relative scores within academic category is key. Sectional cut offs :70/70/70 |
| IIM Bangalore PGP | Strong | 93.85 | 55% wt to CAT, 10th/12th (15% each) Workex (10%) and Gender (5%). Grad marks not considered Sectional cut offs :80/75/75 |
| IIM Calcutta PGP | Strong | 99.29 | Total 85 marks : Of which CAT = 56, 10th = 10,12th = 15 and Gender is 4 marks. No impact of grad or workex; 10/12 above 80% get full marks - hence heavily CAT dependent. Sectional cut offs :80/80/75 |
| IIM Lucknow PGPM | Strong | 94.02 | 60% wt to CAT, 12th/Grad/Workex 10% each and Gender and Acad diversity is 5% each. Sectional cut offs :85/85/85 |
| IIM Indore PGP | Moderate | 96.83 | CAT-20% wt, 10th-34% 12th-40% and Gender is 6%. No grad or workex impact. Sectional cut offs :80/80/80 |
| IIM Kozhikode PGP | Strong | 95.01 | 45% wt for CAT, 25% for 10th, 15% for 12th, Work ex, gender and non-engr is 5% each. Grad is not considered. Sectional cut offs :75/75/75 |
| IIM Shillong PGP | Strong | 92.0 | 50% wt for CAT, 50% for Work ex. Short list created for each academic category separately. Sectional cut offs :75/75/75 |
| IIM Rohtak PGPM | NA | 95.04 | Only CAT %ile is considered. No sectional cut offs. |
| IIM Amritsar PGP | Strong | 90.68 | 60% wt for CAT, 10% for 10th, 5% for 12th, Work ex and gender are 5% each. Grad is not considered. Sectional cut offs :80/75/75 |
| IIM Nagpur PGP | NA | 90.07 | Only CAT %ile is considered. Sectional cut offs :65/65/65 |
| IIM Visakhapatnam PGP | Strong | 88.73 | 50% wt to CAT, 10th/12th/Grad/Workex and Gender all equally considered. No sectional cut offs. |
| FMS | Strong | 99.17 | Low probability cut off is 98.25%ile. 100% weightage to CAT %ile. 40% to VARC, 30% each to DILR and QA. 5% extra benefit to Female gender. No sectional cut offs. |
| XLRI | NA | 98.5 | Conversion generally requires a 98+ in XAT |
| SP Jain | NA | 95.5 | Percentile based calls will require good acads. Profile based calls usually start from 90 percentile, can be as low as 85%ile too |
| MDI | Strong | 93.9 | Low probability cut off is 90.5. Female and Non Engineers get additional weightage. Work Ex may impact cut offs. No sectional cut offs. |
| IIFT | NA | 94.0 | CAT expected cut off around 94% |
| SIBM | NA | 91.0 | 98.5% ile in SNAP corresponds to approx 91% in CAT |
| NMIMS | NA | 92.0 | NMAT Cut off is 240 marks, corresponds to approx 92% in CAT. Sectional cut offs are also considered. |
NA (Not Applicable) : These institutes do not consider profile information or do not release any credible method of arriving at any profile score.
Strong Match : Your profile is sufficient and well above the minimum required
Moderate Match : Your profile is sufficient and marginally above the minimum required
Weak Match : Profile Score is at borderline, likely to miss call or score 99.9+ to make it
No Match : Profile Score is insufficient to get a call
The following data about your profile has been used to prepare the list of IIMs
| Category | GENERAL |
| Gender | FEMALE |
| X Board Marks | 90% - CENTRAL BOARD OF SECONDARY EDUCATION (CBSE) |
| XII Board Marks | 90% - CENTRAL BOARD OF SECONDARY EDUCATION(CBSE) |
| Graduation Marks | 90% |
| Academic Diversity | Your UG academic discipline is : Arts/Humanities This may contribute towards academic diversity points where relevant |
| Gender Diversity | Gender diversity points have been added where relevant |
| Work Experience | 36 months |
The results generated by MBA Profilizer are based on the information provided and should be used as a helpful guideline for selecting suitable business schools. Final admission decisions depend on individual institutions' criteria and may vary. in case you find certain discrepencies/want to provide feedback, then kindly report the same by dropping a mail at aratrika.chakraborty@careerlauncher.com
The MBA Profilizer is built using historical data of past students who have received verified calls from the IIMs / top B-schools. The latest admission policy documents of each IIM are consulted to understand the formula used by the IIMs for creating the interview shortlists. AI based tools are used to simulate the score calculators of each b-school individually. Since CL has a depth of data of past students we are able to predict to a good degree of accuracy the impact of academic scores , work ex , gender diversity. Once you submit your profile to us, we are able to back calculate the percentile required. This percentile is uniquely calculated for each and every student, and no two students are likely to see the exact same percentile cut offs.
You must specify the precise academic scores secured in 10th/12th/Graduation and total Work experience in Months at the time of writing CAT. Also your category, academic stream and gender must be correctly provided
The selection criteria of each and every B-school is different and also sometimes very complicated. Even the most experienced faculty cannot keep track of the formulae and can only give broad recommendations to a student about the percentiles required to secure a call. The profilizer will likely perform better than a human input in most circumstances. We have backtested the recommendations of the profilizer on a database of over 5000+ calls of IIM intake of 2023 and the accuracy of 95% was observed in True Positives samples ( actual call getter who got a percentile higher than our predicted cut off)
There are several limitations or approximations which are to be noted
a) In a few b-schools academic diversity points are granted for Masters or Professional Degrees - for the sake of simplicity we have ignored these inputs as it affect few students in just a couple of b-schools
b) The z-scores used in the calculation of 10/12 board scores are often based on the relative scores of total applicants. Several IIMs normalize the scores across boards and across years. We do not have enough reliable data to do the same and we have treated all boards the same across multiple years.
c) The work ex data in our system is self declared by students - it is hard to validate these data in the same way an IIM can, and hence will have a tendency to have more errors than other academic data.
d) Non -IIMS do not reveal their exact formula of creating the interview short list. These have been estimated using statistical means on aggregate data.
The profilizer simulates the probability of getting an interview call only. Final admission criteria are significantly different, where the interview and WAT scores come into play. Additionally certain other criteria can be considered which were not considered at the time of shortlisting for interview.
MBA Profilizer takes data privacy seriously and employs security measures to protect your information. Your data will not be shared with third parties without your consent.
The degree of complexity depends on the number of parameters considered by different institutions during the admission process. If more parameters are considered, the degree of complexity of the institution will be high and vice versa.