Education & Admissions

Understanding Entry Test Scoring: NET, ECAT, MDCAT, and More

1 August 2026·5 min read
Understanding Entry Test Scoring: NET, ECAT, MDCAT, and More

Pakistan's major university entry tests don't share a common scoring system, which trips up a lot of students trying to compare their performance across tests or plug a score into an aggregate calculator correctly.

MDCAT: out of 200, negative marking

MDCAT is scored out of 200 across Biology, Chemistry, Physics, English, and Logical Reasoning, with a fixed number of MCQs per section weighted according to that year's syllabus breakdown. Most administrations apply negative marking for incorrect answers, so guessing carries real risk — leaving a genuinely uncertain question blank is often the better strategy than a low-confidence guess.

ECAT: out of 400, four marks per question

UET's Engineering College Admission Test is scored out of 400, drawn from 100 multiple-choice questions worth 4 marks each, covering Mathematics, Physics, and Chemistry (plus English and general knowledge components in some years). Because each question is worth a full 4 marks, a handful of careless mistakes moves your score more dramatically than on tests with smaller per-question weight.

NET: percentage-based, own syllabus

NUST's NET is typically reported as a percentage score, covering Mathematics, Physics, Chemistry (or a discipline-specific alternative), English, and Intelligence sections, with NUST setting and revising its own syllabus and paper pattern each cycle — always check the current year's NET guide directly rather than relying on prior years' pattern.

Percentile scoring: PIEAS's distinct approach

Most tests report your score as a raw percentage or fraction of total marks, but PIEAS's own published formula is explicit that its test component is scored as a percentile — meaning your rank relative to other test-takers, not your raw percentage correct. A percentile score of 90 means you outperformed 90% of test-takers, which is a fundamentally different number from a 90% raw score, and conflating the two when estimating your aggregate will give a wrong result.

Converting your score correctly before calculating your aggregate

Getting these distinctions right matters because plugging a percentile into a formula expecting a raw percentage (or vice versa) produces a meaningless aggregate. Our University Merit / Aggregate Calculator labels each institution's expected input format explicitly — including PIEAS's percentile-based field — so you don't have to do this conversion mentally before getting an accurate result.

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