GATE Statistics (ST) 2027 Syllabus: Every Change From 2026, Line by Line

The GATE 2027 Statistics syllabus is not the 2026 text with a new date on it. IIT Madras has numbered it into 12 sections (the 2026 version ran as unnumbered paragraphs), renamed one of them, and changed five: calculus lost a line, probability and the univariate distributions gained several, convergence lost the delta method, and non-parametric statistics gained run tests and the Kruskal–Wallis test. Seven sections are unchanged in substance. This guide sets out every change against the 2026 text and then checks the 2023–2026 papers. Two of the “new” distributions had already been asked before the syllabus named them, and one “removed” topic was asked as recently as 2023.

GATE 2027 and 2026 ST syllabi and the GATE 2027 brochure. The comparison is ours.

The shape of the paper has not changed. GATE ST is one of the papers with no separate Engineering Mathematics section: its mathematics, calculus and matrix theory, sits inside the 85 subject marks as syllabus sections 1 and 2. General Aptitude adds 15 marks, for 100 in three hours. ST has been a single-session paper every year from 2023 to 2026, so raw marks are the marks used for the score; there is no normalisation.

If you want to write two papers, ST pairs with CS, DA, MA or XH, both ways round, the same set as in 2024–2026. Of these, DA (Data Science and Artificial Intelligence) shares the most with ST: probability, linear algebra and calculus. MA shares the mathematics. Several IISc and IIT Kanpur programmes accept DA or MA alongside ST, so a second paper can widen your admission options, as our programmes guide explains.

We compared the 2026 PDF (IIT Guwahati) with the 2027 PDF (IIT Madras) phrase by phrase. The 2027 document is about 40 words longer. Here is every section, with the change in the right-hand column.

Read the additions for what they change in practice. The PGF matters mostly for discrete distributions and branching-type sums, and sits next to the MGF, which has been asked every year. Laplace and Cauchy are both favourite sources of “which moment exists” and “which estimator is efficient” questions. Run tests and Kruskal–Wallis extend a section that has carried only 3–4 marks a paper, so they will be at most a one- or two-mark question when they appear.

The 2027 additions are less new than they look. We classified all 220 Statistics questions of the 2023–2026 papers, and some of the “new” material had already been examined. That tells you how the setters treat the syllabus: as a guide to the course, not a closed list.

Two conclusions, both ours. First, do not skip lognormal or ridge regression because the syllabus does not name them: each has already been worth marks. Second, the delta method is now formally out, but it is a short topic that follows from Taylor’s theorem and the CLT, both still in the syllabus. We would give it an hour rather than drop it entirely.

Several topics that statistics students expect are not in either year’s ST syllabus: sampling theory and survey sampling, design of experiments and ANOVA layouts, time series, index numbers, demography, official statistics and statistical quality control. Most of these belong to UPSC’s Indian Statistical Service papers, which is why coaching material written for both exams sometimes lists them under GATE. Multivariate analysis also stops short: there is no principal components or discriminant analysis in either year. If your aim is GATE alone, these can wait. If you are also preparing for ISS, our comparison guide sets out the overlap.

The changed sections are not the heavy ones. On our count of 2023–2026, Probability averaged 9.25 marks a paper, the Univariate Distributions 5.0, Convergence 5.0 and Non-parametric Statistics 3.75. The unchanged sections carry most of the paper: Matrix Theory 10.75, Calculus 10.25 and Estimation 10.0. So a 2026-based plan needs adjusting, not rebuilding.