UPES Dehradun BA Admissions 2026
Ranked #45 Among Universities in India by NIRF | 1950+ Students Placed, 91% Placement, 800+ Recruiters
CUET Normalisation Process 2026: The National Testing Agency (NTA) conducts the Common University Entrance Test (CUET) to offer admissions to all the UG programs in all the Central Universities for the academic year 2026-2027. The CUET participating Central Universities (CUs) use the normalised marks scored in the CUET scorecard for preparing the ranking list for admissions.
This Story also Contains
The CUET normalisation process is used to compare the marks of a student secured in the CUET exam with another when an examination of the same subject is held in multiple sessions, each with a different paper. CUET normalisation process 2026 is an established practice used for comparing candidate scores across multi-session papers.
According to NTA "These normalised marks of the candidates, obtained using equipercentile method, in different sessions in a given subject can be used in the same way we use the raw marks of a conventional single session examination’’. Read the full article to know more about the CUET Normalisation process 2026 and how to calculate it based on percentile score.
Ranked #45 Among Universities in India by NIRF | 1950+ Students Placed, 91% Placement, 800+ Recruiters
B.Sc (Hons) Admissions 2026 Now Open | Ranked Among the Top 100 Universities in the World by QS World University Rankings 2025 | Early Round 2 Applications Deadline: 29th Jan’26
The NTA will opt for the CUET UG method or equipercentile method for every session across multiple days for the same subject, which will include the percentile for each candidate which is calculated using the raw marks of the candidate as compared to the raw marks of others in the same session. These percentiles are then equated and converted into normalised marks. For sessions with smaller numbers of candidates, these are clubbed with bigger sessions.
The CUET percentile score indicates the percentage of candidates that have secured equal or lower scores to a particular percentile in that examination. Thus, the topper (with highest score) of each session will get the same percentile of 200 which is desirable. The marks scored in between the highest and lowest scores are also converted to appropriate percentiles. Then, percentile score (instead of the raw marks of the candidate) will be used while preparing the merit lists. The CUET percentile scores will be calculated up to 7 decimal places to avoid the bunching effect and reduce ties.
The CUET 2026 results will be calculated in the form of percentile. The raw scores secured by the candidates are required to calculate the marks and percentile scored in the CUET entrance examination 2026. To understand the difference between CUET marks vs percentile, candidates are advised to refer to the table below.
Marks | Percentile |
200 - 188 | 100 |
187 - 170 | 99 |
169 - 150 | 98 - 97 |
149 - 130` | 96 - 95 |
129 - 110 | 94 - 93 |
109 - 90 | 92 - 90 |
89 - 80 | 89 - 84 |
79 - 70 | 83 - 80 |
69 - 60 | 79 - 75 |
59 - 50 | 74 - 70 |
49 - 40 | 69 - 55 |
39 - 20 | 54 - 30 |
Also Read,
India's Largest University | NAAC A++ | 100% Placements Record | Highest CTC 2.5 Cr PA | 150 + Programmes across Multiple Disciplines
Merit Scholarships | NAAC A+ Accredited | Top Recruiters: Nvidia, CISCO, Genpact, Amazon & many more
To get clarity on what is the normalization score in CUET, students are required to understand that normalization is a process of measuring and converting raw scores into a single scale and each value to be on the same scale. The Normalisation of marks in CUET means that the process is to measure the scores of all candidates on the same scale, i.e each student is given a percentage based on his shift score whether it is difficult or easy. It is introduced to answer all the questions in the mind of the students about level of questions, types of questions and other doubts. Candidates should work on their concepts and not think about difficulty level. This makes the CUET process clean and efficient.
The CUET UG normalised marks for the corresponding percentile of each candidate will be calculated using the following process.
Step 1. Convert raw scores into percentile scores
To calculate the CUET normalised marks across different sessions in a given subject, the percentile of each group of these students for each shift is calculated using the raw marks they have scored.
Let's say 100 students appeared for the test in a given shift. Their marks are sorted in decreasing order. Assume that one of these 100 students scored 87%. Imagine 80 out of 100 students scored less than or equal to 87%. The percentile of this student with 87% marks would be 80/100=0⋅8. The percentile so calculated will always be between 0 and 1 and it is usually rounded off to the requisite number of decimal places.
In the event of a more number of days or less number of shifts, the candidates will be divided accordingly. This will ensure that there is no bias in the distribution of candidates who appear for the examination. Further, with a large population of examinees spread over the entire country the possibility of such bias is very low.
Step-2: Arranging CUET percentiles
The examination results for each session would be prepared in the form of
Raw Scores
Percentiles Scores of Total raw scores
The Percentiles would be calculated for each candidate in the Session as follows:
Let TP1 be the Percentile Score of Total Raw Score of that candidate.
Note: The percentile of the total shall not be an aggregate or average of the percentile of the individual subject. The percentile score is not the same as the percentage of marks obtained.
Step 3: Calculation of the Normalised Score using interpolation
Now for each subject there is a score assigned to each percentile value and each session. The Normalised score, Z, corresponding to a percentile value P.
The percentile scores for the total raw score for all the sessions (Session 1: Day-1 Shift-1, Session-2: Day-1 Shift-2) as calculated in Step-2 above would be merged and shall be called the NTA scores which will then be used for the compilation of results and further processing for deciding the allocation.
Example - Suppose a test was held in 4 sessions of examinees as per details given below:
The distribution of candidates were as follows:
Session 1: Day 1, Shift 1
Session 2: Day 1, Shift 2
Session 3: Day 2, Shift 1
Session 4: Day 2, Shift 2
Session | Day/Shift | No of Candidates | Marks | |||
Absent | Appeared | Total | Highest | Lowest | ||
Session-1 | Day-1 Shift-1 | 3974 | 28012 | 31986 | 335 | -39 |
Session-2 | Day-1 Shift-2 | 6189 | 32541 | 38730 | 346 | -38 |
Session-3 | Day-2 Shift-1 | 6036 | 41326 | 47362 | 331 | -49 |
Session-4 | Day-2 Shift-2 | 9074 | 40603 | 49677 | 332 | -44 |
Total (Session 1 to 4) | 25273 | 142482 | 167755 | 346 | -49 | |
In this method of scoring the HIGHEST RAW SCORE in each paper (irrespective of the raw scores) will be the 100 Percentile indicating that 100% of candidates have scored equal to or lesser than the highest scorer/ topper for that session.
Highest Raw Score and Percentile Score: All the highest raw scores will have a normalised Percentile Score of 100 for their respective session.
Session | Total Candidates Appeared | Highest Raw Score | Candidates who scored Equal or Less than Highest Raw Score | Percentile Score | Remarks |
Session-1 | 28012 | 335 | 28012 | 100.0000000 [(28012/28012)*100] | i.e. all the highest raw scores would be normalized to 100 Percentile Score for their respective sessions. |
Session -2 | 32541 | 346 | 32541 | 100.0000000 [(32541/32541)*100] | |
Session -3 | 41326 | 331 | 41326 | 100.0000000 [(41326/41326)*100] | |
Session -4 | 40603 | 332 | 40603 | 100.0000000 [(40603/40603)*100] |
Lowest Raw Score and Percentile Score: The percentile Score of all the lowest raw scores will depend on the total number of candidates who have taken the examination for their respective sessions.
Session | Total Candidates Appeared | Lowest Raw Score | Candidates who scored Equal or Less than Lowest Raw Score | Percentile Score | Remarks |
Session -1 | 28012 | -39 | 1 | 0.0035699 [(1/28012)*100] | i.e. Percentile Score of all the lowest raw scores is different i.e. Percentile Score depends on the total number of candidates who have taken the examination for their respective sessions. |
Session -2 | 32541 | -38 | 1 | 0.0030730 [(1/32541)*100] | |
Session -3 | 41326 | -49 | 1 | 0.0024198 [(1/41326)*100] | |
Session -4 | 40603 | -44 | 1 | 0.0024629 [(1/40603)*100] |
The following is a further explanation of the interpretation of the raw scores and Percentile Score in Session-3 (Day-2 and Shift-1) with 41326 candidates who have taken the examination.
Candidate | Percentile Score | No. of Candidates | Raw Score | Remark |
A | 100.0000000 [(41326/41326)*100] | 1 | 331 | This indicates that amongst those who appeared, 100% have scored either Equal to or Less than candidate A (331 raw scores). |
It also indicates that no candidate has scored more than candidate A (331 raw scores). | ||||
B | 90.1224411 [(37244/41326)*100] | 77 | 121 | This indicates that amongst those who appeared, 90.1224411% have scored either EQUAL TO OR LESS THAN candidate B (121 raw scores). |
It also indicates that the remaining candidates have scored more than candidate B (121 raw scores). | ||||
C | 50.4549194 [(20851/41326)*100] | 381 | 41 | This indicates that amongst those who appeared, 50.4549194% have scored either Equal to or Less than candidate C (41 raw scores). |
It also indicates that the remaining those who appeared have scored more than candidate C (41 raw scores). | ||||
D | 31.7040120 [(13102/41326)*100] | 789 | 25 | This indicates that amongst those who appeared, 31.7040120% have scored either Equal to or Less than the candidates D (25 raw scores) |
E | 1.1034216 [(456/41326)*100] | 100 | -15 | Indicates that amongst those who appeared, 1.1034216% have scored either Equal to or Less than the candidate E (-15 raw score) |
It also indicates that the remaining candidates have scored more than candidate E (-15 raw score) |
Also Read:
This normalization process is introduced by the exam conducting bodies to reduce the discord in the students against the authorities. With such a large number of candidates participating in the exam. Some may get challenging shifts with a good level of questions and some may get easy questions in their shifts. With a large number of candidates/shifts, it is difficult to maintain the same level of questions.
The NTA will declare the CUET 2026 result in July. Candidates appearing in the entrance exam can check the CUET 2026 result by using their login credentials. The result of CUET 2026 will be prepared based on the candidate’s entrance exam performance. The CUET UG result contains various credentials such as the name of the candidate, roll number, opted programme, marks obtained and total marks, etc.
Also Read,
Frequently Asked Questions (FAQs)
CUET normalisation will not increase the marks. CUET normalisation is done based on the equi-percentile method of the raw scores of CUET.
In CUET, the equipercentile method turns raw scores into percentiles, standardises them across sessions, and then converts them into normalized marks.
CUET percentile is calculated based on the marks obtained by the candidate with the marks of other candidates in the same session.
Candidates scoring more than 200 in each section are considered to be good scores in the CUET exam.
Based on the analysis of previous year results of CUET, scoring above 700 is considered as a safe and good score in CUET.
Candidates scoring above 500 is considered as a decent score in CUET. So, the score 647 is also considered good and candidates will also get a good university from this score.
Candidates who scored 450 in CUET are considered to be a decent score, but it is not accepted in the top central universities for admissions.
Candidates scoring more than 200 in each section is considered to be good score in CUET exam.
On Question asked by student community
NTA has released the CUET UG 2026 application form on January 3 at cuet.nta.nic.in. Aspirants can fill and submit the CUET UG form 2026 till January 31. The candidates must provide their academic, personal, and contact information in the CUET UG 2026 application form. Prior to submission, it is important
A mismatch in father's name on official documents (like 10th marksheet vs. Aadhaar) will not lead to an immediate rejection of CUET application form, but it can cause significant problems during the document verification stage at universities. The National Testing Agency provides a CUET UG correction window to fix such
Hello
The application process for the Common University Entrance Test (CUET) UG 2026 has officially begun. The National Testing Agency (NTA) released the application form on January 3, 2026. If you want to join top central universities like Delhi University (DU), BHU, or JNU, you must apply before the deadline.
Hello
Yes, it is fine to choose Political Science and History as your domain subjects, English as your language, and GAT in CUET for BA Ancient Indian Culture & Archaeology at BHU. These subjects are fully accepted and will not affect your eligibility for the course.
Hello,
Yes, you can get a reservation to study B Tech. through cuet exam as per your category. It is partially dependent on the university you will get admission.
Thank You.
Among top 100 Universities Globally in the Times Higher Education (THE) Interdisciplinary Science Rankings 2026
NAAC A+ Accredited | Among top 2% Universities Globally (QS World University Rankings 2026)
Recognized as Category-1 Deemed to be University by UGC | 41,000 + Alumni Imprints Globally | Students from over 20+ countries
Education World: Ranked 2nd in Jharkhand by Education World India Private Universities Ranking-2021
India’s first liberal arts college to offer a four-year full time Bachelor of Arts and Bachelor of Science (Liberal Arts) Honours degree
Highly qualified faculty from diverse academic backgrounds. An interdisciplinary curriculum blending humanities, social sciences, and liberal arts.