GATE ST Preparation Guide
IIT Madras (organising institute for GATE 2027)
Your Complete Preparation Guide for GATE ST 2027 — strategy, study plan, tips & more.
Exam Overview
Mode
Online (CBT)
Frequency
Annual (February)
Next Exam Date
6, 7, 13, 14, 20 & 21 Feb 2027
EEligibility Criteria
MSc/BSc in Statistics or Mathematics
ANumber of Attempts
No limit
Study Plan by Subject
Probability
Week 1-4: Foundation
Core concepts & basics
Week 5-8: Deep Practice
Advanced problems & revision
Week 9-12: Mock Tests + Revision
Full-length tests & weak-area focus
Refer to official syllabus for complete topic list
Stochastic Processes
Week 1-4: Foundation
Core concepts & basics
Week 5-8: Deep Practice
Advanced problems & revision
Week 9-12: Mock Tests + Revision
Full-length tests & weak-area focus
Refer to official syllabus for complete topic list
Statistical Inference
Week 1-4: Foundation
Core concepts & basics
Week 5-8: Deep Practice
Advanced problems & revision
Week 9-12: Mock Tests + Revision
Full-length tests & weak-area focus
Refer to official syllabus for complete topic list
Regression Analysis
Week 1-4: Foundation
Core concepts & basics
Week 5-8: Deep Practice
Advanced problems & revision
Week 9-12: Mock Tests + Revision
Full-length tests & weak-area focus
Refer to official syllabus for complete topic list
Multivariate Analysis
Week 1-4: Foundation
Core concepts & basics
Week 5-8: Deep Practice
Advanced problems & revision
Week 9-12: Mock Tests + Revision
Full-length tests & weak-area focus
Refer to official syllabus for complete topic list
Design of Experiments
Week 1-4: Foundation
Core concepts & basics
Week 5-8: Deep Practice
Advanced problems & revision
Week 9-12: Mock Tests + Revision
Full-length tests & weak-area focus
Refer to official syllabus for complete topic list
General Aptitude
Week 1-4: Foundation
Core concepts & basics
Week 5-8: Deep Practice
Advanced problems & revision
Week 9-12: Mock Tests + Revision
Full-length tests & weak-area focus
Refer to official syllabus for complete topic list
Expert Preparation Tips
Probability Theory (Distributions, Limit Theorems, Generating Functions) is the foundation — start here before other topics
Statistical Inference (Estimation, Hypothesis Testing, Confidence Intervals) carries the highest weightage — solve Casella & Berger exercises
Stochastic Processes (Markov Chains, Poisson Process) is increasingly important in the data science era — master it
Linear Regression and Design of Experiments are relatively formula-based — create a cheat sheet and practice numerical problems
Practise distribution identification drills — recognising the underlying distribution is half the answer in GATE ST
Work through Casella-Berger exercises for inference and Mukhopadhyay for probability; past ST papers map to them closely
Exam Pattern at a Glance
| Section | Questions | Marks | Duration (est.) |
|---|---|---|---|
| Probability | 9 | 14 | 26 min |
| Stochastic Processes | 9 | 14 | 26 min |
| Statistical Inference | 9 | 14 | 26 min |
| Regression Analysis | 9 | 14 | 26 min |
| Multivariate Analysis | 9 | 14 | 26 min |
| Design of Experiments | 9 | 14 | 26 min |
| General Aptitude | 9 | 14 | 26 min |
| Total | 65 | 100 | 180 min |
Important Dates
Registration Opens
2 Sep - 5 Oct 2026 (late fee until 12 Oct 2026)
Next Exam Date
6, 7, 13, 14, 20 & 21 Feb 2027
Conducted By
IIT Madras (organising institute for GATE 2027)
Frequently Asked Questions
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