CUSAT CAT 2026 Exam Pattern

The revised Test Code 101 pattern

The 2026 prospectus specifies 225 objective multiple-choice questions for Test Code 101: 90 in Mathematics, 75 in Physics and 60 in Chemistry. The duration is three hours. Correct responses earn four marks and incorrect responses lose one mark. This is a material correction to older summaries that retain a different question count or the previous +3 scoring convention.

Mathematics accounts for 40% of the questions, Physics for one third and Chemistry for the remaining approximate 26.67%. These proportions follow directly from the official counts; they are not chapter-wise predictions. The prospectus describes the subject level as Plus Two. It does not justify claiming that a particular chapter will always supply a fixed number of questions.

The overall time average is 48 seconds per question. That ratio explains the need for efficient selection and fluency, but does not mean every question has equal difficulty. A short conceptual item can create time for a longer calculation. Practise complete papers under the actual 2026 count and duration so that pacing is not built around an obsolete format.

Qualification, raw scores and rank are different

For Test Code 101, the prospectus requires a minimum normalised score of 10 in Mathematics, Physics and Chemistry combined. It does not state the old-style separate minimum in each subject as the 2026 rule. SC/ST candidates have the stated exemption from the minimum score requirement, but candidates who fail to answer at least one question are disqualified and excluded from the rank list.

This normalised qualifying threshold should not be presented as an admission cutoff or as a guaranteed branch score. Qualifying for a rank is one stage; receiving a preferred seat depends on the merit and option process. A low minimum threshold does not indicate the score needed for a popular programme.

The raw marking expression is 4R − W, where R is the number of correct responses and W is the number of incorrect responses. A candidate with 150 correct, 50 wrong and 25 unanswered questions has an illustrative raw score of 550. That example explains the arithmetic only. It does not predict the university's normalised score or the candidate's rank among actual examinees.

A strategy for negative marking

Under +4/−1 scoring, correcting one wrong answer to a correct answer gains five marks. Converting a blank to a correct response gains four. This makes repair of recurring misunderstandings especially useful. An applicant who attempts more questions while preserving the same systematic errors can increase both positive marks and penalties.

A simple expected-value model gives 4p − (1 − p), or 5p − 1, for an uncertain attempt with probability p of being right. The expected value becomes positive above 20%, assuming that probability estimate is meaningful and ignoring time costs. This mathematical observation is not a promise that random guessing will improve a particular candidate's score.

Use elimination only when there is a reason to reject an option. An unfamiliar formula or an answer that looks untidy is not evidence of incorrectness. During mocks, record uncertain attempts separately and inspect whether the candidate's confidence estimates match actual accuracy. That feedback is more useful than adopting an aggressive or conservative strategy solely because someone else recommends it.