ProSyllabus Journal

GATE Statistics 2027: An 18-Week Study Plan, October to February

An 18-week plan for GATE ST 2027 built on the marks each section has carried since 2023, with the new 2027 topics, score targets for IISc, IIT Bombay and NIT programmes, and an hours planner.

By ProSyllabus Admin
Updated 2 days agoGATE Statistics · Preparation
#gate statistics preparation#gate st study plan#how to prepare for gate statistics#gate statistics 2027 preparation#gate st preparation strategy#gate statistics books and plan
GATE Statistics 2027: An 18-Week Study Plan, October to February

Checked 28 September 2026. Dates, pattern and syllabus are official for GATE 2027. The time split follows our section-wise count of the 2023–2026 papers; the week plan and score targets are our recommendation and arithmetic.

GATE 2027 runs over six days, 6, 7, 13, 14, 20 and 21 February 2027. The ST paper’s day is not yet published; in 2026 it was on Sunday 8 February, in the forenoon. From 1 October that leaves about 18 weeks. Registration closes on 5 October 2026 (12 October with the late fee), so do that first. This plan gives your hours to each section in proportion to the marks it has carried, puts the steadiest marks first, and ends with the five official papers.

≈ 18 weeks
from 1 October to 6 February
19–22 of 85
Statistics marks in Calculus + Matrix Theory each year (ours)
≈ 41 marks
for a score of 500 on the 2026 field (ours)
5 Oct
regular registration closes (12 Oct with late fee)

GATE 2027 brochure and important-dates page; section averages and marks targets are our arithmetic on the official papers and reports.

Set a target first

Pick the programme you are aiming at, then work back to marks. The table uses the 2026 field, the hardest of the four years to score on. Aim for the marks in the right-hand column in your timed full papers from January onwards.

TargetGATE scoreMarks on the 2026 field (ours)
Qualify (GEN)35030.4
NIT IE / OR / supply-chain groups (CCMT last round)≈ 400–450≈ 34–37
IISc research, Mathematical Sciences block (UR shortlist)550≈ 44.5
NITK Computational and Data Science (CCMT last round)640≈ 51
IIT Bombay IEOR (GN-EWS minimum)650≈ 51.5
IISc M.Tech CDS (UR shortlist)690≈ 54

Scores from the official 2026 admission documents (see our programmes guide); marks by our inversion of the official score formula on the GATE 2026 ST field (Mq 30.4, M̄t 69.07).

A realistic reading: 35–40 marks puts you among the top 200 of about 2,100, and 50+ marks puts you in the top 30. In 2026 only 75 candidates who appeared reached 40 marks and 31 reached 50, by our count of the official table. This is a paper where a disciplined plan beats a large field.

Where your hours go

PartShare of study time (our split)Average marks it carried
Calculus (S1)10.3%10.25
Matrix Theory (S2)10.8%10.75
Probability (S3)9.3%9.25
Univariate distributions (S4)5%5
Joint distributions (S5)7.8%7.75
Convergence (S6)5%5
Stochastic processes (S7)4.8%4.75
Estimation (S8)10%10
Testing of hypotheses (S9)7.5%7.5
Non-parametric (S10)3.8%3.75
Multivariate (S11)6%6
Regression (S12)5%5
General Aptitude15%15 (fixed)

Our split: proportional to the average marks of 2023–2026 on the 2027 section boundaries. If General Aptitude comes easily to you, move up to 5% of your time from it to Estimation and Testing.

GATE Statistics 2027 study-hours planner

Choose your likely exam day and how many hours a week you can study. The planner counts the weeks left from today and splits your total hours across the paper.

Weeks 1–5 (October): the mathematics

Start where the marks are steadiest. Matrix Theory gave 7 questions every year and Calculus 6 or 7. Do rank and nullity, systems of equations, eigenvalues (asked every year), Cayley–Hamilton, diagonalisation, definite matrices and quadratic forms. For calculus, cover sequences and series (asked every year), continuity and differentiability, Taylor’s theorem, maxima and minima with Lagrange multipliers, and double integrals, which you will need again for joint distributions. Alongside, begin Probability: axioms, conditional probability and Bayes, random variables, expectation and variance (with the properties the 2027 syllabus now names), the MGF and the new PGF.

Weeks 6–9 (November): distributions and convergence

Work through the univariate distributions, including the two newly named ones, Laplace and Cauchy, and both kinds of beta. Then joint distributions: marginals and conditionals, conditional expectation, transformations, order statistics, the bivariate normal and the χ², t and F distributions. Finish with convergence: the four modes, Slutsky, Borel–Cantelli, the laws of large numbers and the CLT. The delta method is out of the 2027 syllabus; an hour on it is still worth it, as it follows from Taylor and the CLT.

Weeks 10–13 (December): estimation and testing

This is the heart of the paper and of every recurring topic list. Estimation: sufficiency and the factorisation theorem, minimal sufficiency, completeness, Basu, UMVUE through Rao–Blackwell and Lehmann–Scheffé, the Cramér–Rao bound, method of moments and MLE, pivotal intervals. Testing: the Neyman–Pearson lemma, MLR, UMP and UMPU tests and the likelihood ratio test. Neyman–Pearson and UMP questions appeared nine times in four papers by our search, five of them in 2026. Give these four weeks your best hours.

Weeks 14–16 (January): the smaller sections

Now the four sections that carry 4–7 marks each. Stochastic processes: Markov chains (classification and stationary distributions), the Poisson process and Brownian motion, each asked in every paper. Multivariate: the multivariate normal, MLEs of the mean vector and dispersion matrix, Hotelling’s T² and Wishart. Regression: simple and multiple, R², Gauss–Markov and tests on coefficients; add ridge regression, which was asked in 2025 although not named. Non-parametric: the usual tests plus the new run tests and Kruskal–Wallis.

Weeks 17–18 and the last days: the five papers

Write the five official papers (2022–2026) under exam conditions, three hours each, and mark each against the final key. Our previous-papers guide lists the files. Start from week 14 with one paper a week, then two a week in the last fortnight. After each one, sort every wrong answer by section and go back to that section the next day. Convert your mark into a score on the 2026 field with the calculator in our marks-vs-score guide, and keep the last three days for revision and sleep, not new topics.

WeeksMonthFocusAlongside
1–5OctoberMatrix Theory, Calculus; Probability basics, MGF and PGFGA 20–30 min a day
6–9NovemberUnivariate and joint distributions; convergenceGA; first topic-wise past questions
10–13DecemberEstimation and Testing of HypothesesPast questions on S8–S9
14–16JanuaryStochastic, Multivariate, Regression, Non-parametricOne full paper a week
17–18Late Jan–FebFull papers and error reviewTwo full papers a week

Our recommended schedule, assuming 1 October to the first exam day. Shift it if ST’s date turns out later in February.

Mistakes that cost marks

Four habits cost ST candidates the most. The first is guessing two-mark MCQs. MCQs carry −2/3 on a two-mark question, and they made up 36–44 of the 85 Statistics marks, so skip one you cannot narrow to two options. MSQ and NAT answers cost nothing when wrong. The second is half-answering MSQs: an MSQ scores only if you select exactly the right set, so check every option rather than stopping at the first correct one. The third is slow arithmetic on NATs, which carried 20–33 marks a year; practise with the GATE on-screen calculator, not a handheld one. The fourth is leaving General Aptitude to the end. It is 15 marks shared with every GATE paper, and the easiest marks on the paper to secure.

Statistics marks by question type
MCQ (negative marking)MSQNAT
2023
44
20
21
2024
41
24
20
2025
36
16
33
2026
38
25
22

Marks out of 85 from the official final keys.

Your 18 weeks: section checklist

Tick a section when you have covered the theory and solved every past question on it from 2023–2026.

0 of 17 done

Weeks 1–9 (0/6)
Weeks 10–16 (0/6)
Weeks 14–18 (0/5)

Ticks are saved only in this browser on this device.

Practise it, don't just read it

Start October with the probability core: our Expectation, Variance and Covariance quiz. Save Sampling Distributions of Estimators for November, when you reach joint distributions.

The ProSyllabus GATE Statistics library has two topic quizzes today: Expectation, Variance and Covariance (Probability) and Sampling Distributions of Estimators (Joint Distributions and Estimation), each with a worked explanation for every option. For the other sections, work from the official papers and keys linked in our previous-papers guide.

Start a GATE Statistics quiz →

When is the GATE 2027 Statistics exam?

GATE 2027 runs on 6, 7, 13, 14, 20 and 21 February 2027. The ST paper’s date has not been published yet; in 2026 it was on 8 February in the forenoon session.

How should I prepare for GATE Statistics in four months?

Spend October on Matrix Theory, Calculus and Probability; November on distributions and convergence; December on Estimation and Testing; January on stochastic processes, multivariate, regression and non-parametric; and the last weeks on the five official papers. Practise General Aptitude throughout.

How many marks are needed to qualify in GATE ST?

The GEN qualifying mark was 30.4 in 2026 and 30.2 in 2025 (27.3 and 20.2 for OBC-NCL/EWS and SC/ST/PwD in 2026).

How many marks do I need for IISc through GATE ST?

IISc’s 2026 M.Tech Computational and Data Sciences shortlist was 690 (UR), about 54 marks on the 2026 ST field by our arithmetic. Its Mathematical Sciences research block was 550, about 44.5 marks.

Which section should I study first for GATE Statistics?

The mathematics: Matrix Theory and Calculus together carried 19–22 of the 85 Statistics marks every year from 2023 to 2026, the steadiest block in the paper.

What is the last date to apply for GATE 2027?

5 October 2026 with the regular fee, or 12 October 2026 with the late fee (₹1,500 instead of ₹1,000 for female, SC, ST and PwD candidates; ₹2,500 instead of ₹2,000 for others).

This chapter is part of the GATE Statistics Board ExaminationExplore every chapter — summary, notes, extra questions & MCQ quizzes
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Expectation Variance and Covariance Fundamentals — Free GATE Statistics Quiz

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