Graduate Aptitude Test in Engineering — Statistics
IIT Roorkee (2027) · Online (CBT) · Annual (February)
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GATE ST Syllabus
Complete chapter-wise syllabus covering all subjects. Updated as per official exam pattern.
SI Units, Dimensional Analysis, Significant Figures, Errors in Measurement
KinematicsMotion in 1D, Motion in 2D, Projectile Motion, Relative Motion
Laws of MotionNewton's Laws, Friction, Circular Motion, Dynamics of Particles
Work, Energy and PowerWork-Energy Theorem, Conservation of Energy, Power, Collisions
Rotational MotionMoment of Inertia, Torque, Angular Momentum, Rolling Motion
GravitationNewton's Law of Gravitation, Gravitational Potential, Orbital Motion, Kepler's Laws
Mechanical Properties of FluidsPressure, Archimedes Principle, Bernoulli's Equation, Viscosity
ThermodynamicsLaws of Thermodynamics, Heat Engines, Carnot Cycle, PV Diagrams
WavesWave Motion, Standing Waves, Doppler Effect, Beats
ElectrostaticsCoulomb's Law, Electric Field, Gauss's Law, Capacitors
Current ElectricityOhm's Law, Kirchhoff's Laws, Wheatstone Bridge, Potentiometer
Magnetism and MatterBiot-Savart Law, Ampere's Law, Lorentz Force, Magnetic Materials
Electromagnetic InductionFaraday's Law, Lenz's Law, Self Inductance, AC Circuits
OpticsReflection and Refraction, Lenses, Young's Double Slit, Diffraction
Modern PhysicsPhotoelectric Effect, Bohr Model, Radioactivity, Nuclear Reactions
Semiconductorsp-n Junction, Diodes, Transistors, Logic Gates
Mole Calculations, Empirical Formula, Limiting Reagent, Concentration Terms
Atomic StructureBohr's Model, Quantum Numbers, Electronic Configuration, Photoelectric Effect
Chemical BondingVSEPR Theory, Hybridization, Molecular Orbital Theory, Resonance
States of MatterIdeal Gas Law, Kinetic Theory, Real Gases, Liquid State
Chemical ThermodynamicsEnthalpy, Entropy, Gibbs Free Energy, Hess's Law
EquilibriumChemical Equilibrium, Ionic Equilibrium, pH and Buffers, Solubility Product
ElectrochemistryElectrochemical Cells, Nernst Equation, Electrolysis, Conductance
Chemical KineticsRate Laws, Order of Reaction, Arrhenius Equation, Half-Life
SolutionsRaoult's Law, Colligative Properties, Osmosis, van't Hoff Factor
p-Block ElementsGroup 13-18 Elements, Oxoacids, Allotropes, Halides
d and f-Block ElementsTransition Metals, Magnetic Properties, Colour of Compounds, Lanthanoids
Coordination CompoundsIUPAC Nomenclature, Crystal Field Theory, Isomerism, Werner's Theory
General Organic ChemistryIUPAC Naming, Reaction Intermediates, Inductive Effect, Resonance
HydrocarbonsAlkanes, Alkenes, Alkynes, Aromatic Compounds
Haloalkanes and HaloarenesSN1 and SN2, Elimination Reactions, Nucleophilic Substitution
Alcohols, Phenols and EthersPreparation, Chemical Reactions, Lucas Test, Kolbe's Reaction
Aldehydes, KetonesNucleophilic Addition, Aldol Condensation, Cannizzaro Reaction
AminesBasicity Order, Diazonium Salts, Carbylamine Test, Azo Coupling
BiomoleculesCarbohydrates, Proteins, Nucleic Acids, Vitamins
Set Operations, Types of Relations, Types of Functions, Composition
Complex NumbersAlgebra of Complex Numbers, Modulus and Argument, de Moivre's Theorem, Cube Roots
Sequences and SeriesArithmetic Progression, Geometric Progression, Special Series, AM-GM-HM
Binomial TheoremBinomial Expansion, General Term, Middle Term, Coefficient Problems
Permutations and CombinationsFundamental Counting, Permutations, Combinations, Circular Arrangements
ProbabilityClassical Probability, Conditional Probability, Bayes' Theorem, Binomial Distribution
Matrices and DeterminantsMatrix Operations, Determinants, Inverse Matrix, System of Equations
TrigonometryTrigonometric Identities, Inverse Trigonometry, Trigonometric Equations, Heights
Coordinate GeometryStraight Lines, Circle, Parabola, Ellipse, Hyperbola
Limits and ContinuityLimits, L'Hopital's Rule, Continuity, Differentiability
DifferentiationDerivatives, Chain Rule, Application of Derivatives, Maxima-Minima
IntegrationIndefinite Integration, Definite Integration, Area Under Curves, Differential Equations
Vectors and 3D GeometryVector Operations, Dot and Cross Product, Lines in 3D, Planes in 3D
StatisticsMean, Median, Mode, Standard Deviation, Variance, Correlation
Table of Contents
About Graduate Aptitude Test in Engineering — Statistics (GATE ST) 2027
The Graduate Aptitude Test in Engineering — Statistics (GATE ST) is one of the most competitive entrance exams, conducted by the IIT Roorkee (2027). Preparing for the GATE ST requires systematic practice, conceptual clarity, and regular self-evaluation. Our platform offers dynamic mock tests, previous years' resolved papers, and AI-enabled analysis to help you secure a top rank.
Frequently Asked Questions
What careers does GATE ST open?
GATE ST qualifies you for MTech in Statistics and Data Science at IITs, researcher positions at ISI (Indian Statistical Institute), CSIR, RBI, and data science roles at central government organisations and PSUs.
Is GATE ST the same as ISI entrance?
No, they are different exams. GATE ST qualifies you for IIT/NIT MTech admission and PSU statistical positions. ISI entrance exam is for MStat and MTech (CS) programmes at ISI Kolkata, Delhi, and Bangalore — generally harder.
What is GATE ST 2027 expected cutoff?
GATE ST qualifying cutoff for General category is typically 25-35 out of 100. It is a relatively newer GATE paper with fewer aspirants — around 8,000-10,000 per year — making ranks more accessible.
What is the scope of GATE ST for data science?
GATE ST is valuable for data scientist roles in government organisations (NSSO, RBI, NABARD). For private sector data science, IIT MTech through GATE ST provides industry-relevant training through project work and placements.
Which IITs offer MTech in Statistics through GATE ST?
IIT Bombay, IIT Kanpur, IIT Kharagpur, and IIT Delhi offer MTech/MS in Statistics, Applied Statistics, or related programmes. These are excellent programmes for quantitative finance, actuarial science, and research careers.
How to Prepare for GATE ST
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