GATE ST Syllabus 2027
Graduate Aptitude Test in Engineering — Statistics
Exam Pattern
| # | Subject / Section | Questions | Marks |
|---|---|---|---|
| 1 | Probability | 9 | 14 |
| 2 | Stochastic Processes | 9 | 14 |
| 3 | Statistical Inference | 9 | 14 |
| 4 | Regression Analysis | 9 | 14 |
| 5 | Multivariate Analysis | 9 | 14 |
| 6 | Design of Experiments | 9 | 14 |
| 7 | General Aptitude | 9 | 14 |
| Total | 65 | 100 | |
Syllabus by Subject
Probability
Key topics covered as per the official GATE ST syllabus, including fundamental concepts, applications, and recent exam trends for Probability.
View Probability Syllabus →Stochastic Processes
Key topics covered as per the official GATE ST syllabus, including fundamental concepts, applications, and recent exam trends for Stochastic Processes.
View Stochastic Processes Syllabus →Statistical Inference
Key topics covered as per the official GATE ST syllabus, including fundamental concepts, applications, and recent exam trends for Statistical Inference.
View Statistical Inference Syllabus →Regression Analysis
Key topics covered as per the official GATE ST syllabus, including fundamental concepts, applications, and recent exam trends for Regression Analysis.
View Regression Analysis Syllabus →Multivariate Analysis
Key topics covered as per the official GATE ST syllabus, including fundamental concepts, applications, and recent exam trends for Multivariate Analysis.
View Multivariate Analysis Syllabus →Design of Experiments
Key topics covered as per the official GATE ST syllabus, including fundamental concepts, applications, and recent exam trends for Design of Experiments.
View Design of Experiments Syllabus →General Aptitude
Key topics covered as per the official GATE ST syllabus, including fundamental concepts, applications, and recent exam trends for General Aptitude.
View General Aptitude Syllabus →Eligibility & Attempts
EEligibility Criteria
MSc/BSc in Statistics or Mathematics
ANumber of Attempts
No limit
Exam Schedule
Frequency
Annual (February)
Next Exam Date
February 2027
Registration Opens
September 2026
Preparation Tips
- 1Probability Theory (Distributions, Limit Theorems, Generating Functions) is the foundation — start here before other topics
- 2Statistical Inference (Estimation, Hypothesis Testing, Confidence Intervals) carries the highest weightage — solve Casella & Berger exercises
- 3Stochastic Processes (Markov Chains, Poisson Process) is increasingly important in the data science era — master it
- 4Linear Regression and Design of Experiments are relatively formula-based — create a cheat sheet and practice numerical problems
Frequently Asked Questions
Practice with Free Mock Tests
Now that you know the GATE ST syllabus, put your preparation to the test. Attempt free mock tests that mirror the real exam pattern.