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GATE

GATE Preparation & Mock Tests

The Graduate Aptitude Test in Engineering (GATE) is a national examination that tests the comprehensive understanding of undergraduate engineering and science subjects.

Gear up for GATE with our advanced prep platform. We offer precise engineering question banks, real-time Virtual Calculator practice, and full-length simulated test papers designed by top IIT/IISc alumni.

GATE Examination Pattern & Official Structure

Mode of Examination Computer Based Test (CBT)
Language of Examination English
Duration 3 Hours (180 Minutes)
Number of Papers 30 Test Papers (Allowed Two-Paper Combinations)
Sections • General Aptitude (GA)
• Candidate's Selected Subject(s)
Type of Questions (a) Multiple Choice Question (MCQ)
(b) Multiple Select Question (MSQ)
(c) Numerical Answer Type (NAT)
Testing of Abilities (a) Recall, (b) Comprehension, (c) Application, (d) Analysis & Synthesis
Number of Questions 10 (General Aptitude) + 55 (Subject) = 65 Questions
Marking Scheme Questions carry either 1 mark or 2 marks (Total = 100 Marks)
Negative Marking MCQ: 1/3 (1-mark) & 2/3 (2-mark) | MSQ & NAT: No Negative Marking (No Partial Marking)
Distribution of Marks in all Papers EXCEPT AR, CY, DA, EY, GE, GG, MA, PH, RA, ST, XH, and XL General Aptitude: 15 marks
Engineering Mathematics**: 13 marks
Subject Questions: 72 marks
Total: 100 marks
(**XE includes Engineering Mathematics section XE0 of 15 marks)
Distribution of Marks in papers AR, CY, DA, EY, GE, GG, MA, PH, RA, ST, XH, and XL General Aptitude: 15 marks
Subject Questions: 85 marks
Total: 100 marks
Paper Code-wise Marks Distribution (All 30 Test Papers)
Paper Code & Structure General Aptitude
(GA) 		Common
Section 		Optional
Section(s) 		Total
Marks 		Total Time*
(Minutes)
AE, AG, BM, BT, CE, CH, CS, EC, EE, ES, IN, ME, MN, MT, NM, PE, PI
Subject marks in these papers include questions on Engineering Mathematics (13 marks), which are paper-specific. 		15 85 -- 100 180
CY, DA, EY, MA, PH, ST 15 85 -- 100 180
AR: Part A is Common.
Part B1/B2 can be selected during the exam. B1 - Architecture or B2 - Planning 		15 60 25 100 180
GE: Part A is Common.
Part B1/B2 can be selected during the exam. B1 - Surveying and Mapping or B2 - Image Processing and Analysis 		15 55 30 100 180
GG: Part A is Common.
Part B1/B2 must be chosen at the time of application. B1 - Geology or B2 - Geophysics 		15 25 60 100 180
RA: Part A is Common.
Part B1/B2 can be selected during the exam. B1 - Electrical or B2 - Mechanical 		15 60 25 100 180
XE: XE0 (Engineering Mathematics) is Common.
Applicants must select any TWO of the other sections during the exam. 		15 15 2 × 35 100 180
XH: XH0 (Reasoning and Comprehension) is Common.
Applicants must select any ONE of the other sections at the time of application. 		15 25 60 100 180
XL: XL0 (Chemistry) is Common.
Applicants must select any TWO of the other sections during the exam. 		15 25 2 × 30 100 180

Branch-Specific Syllabi & Paper Structure

Paper Code CS (Computer Science & Information Technology)
Duration 3 Hours (180 Minutes)
Total Questions 65 Questions (10 GA + 55 Technical/Math)
Negative Marking MCQ: 1/3 (1-mark) & 2/3 (2-mark) | MSQ & NAT: Zero Negative Marking
Examination Parameter Official Structure & Marks Distribution
General Aptitude (GA) 15 Marks (5 Questions × 1 Mark + 5 Questions × 2 Marks)
Engineering Mathematics 13 Marks (Integrated Discrete Math, Linear Algebra, Calculus, Probability)
Core Computer Science (CS) 72 Marks (Core Engineering Sections 2 to 10)
Total Marks 100 Marks (65 Questions)
Detailed Syllabus
2 Sections
Swipe
  • Basic English grammar: tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech
  • Basic vocabulary: words, idioms, and phrases in context.
  • Reading and comprehension, Narrative sequencing.
  • Data interpretation: data graphs (bar graphs, pie charts, and other graphs representing data), 2- and 3-dimensional plots, maps, and tables
  • Numerical computation and estimation: ratios, percentages, powers, exponents and logarithms, permutations and combinations, and series Mensuration and geometry Elementary statistics and probability.
  • Logic: deduction and induction, Analogy, Numerical relations and reasoning.
  • Transformation of shapes: translation, rotation, scaling, mirroring, assembling, and grouping paper folding, cutting, and patterns in 2 and 3 dimensions.
  • Discrete Mathematics: Propositional and first order logic. Sets, relations, functions, partial orders and lattices. Monoids, Groups. Graphs: connectivity, matching, colouring. Combinatorics: counting, recurrence relations, generating functions.
  • Linear Algebra: Matrices, determinants, system of linear equations, eigenvalues and eigenvectors, LU decomposition.
  • Calculus: Limits, continuity and differentiability, Maxima and minima, Mean value theorem, Integration.
  • Probability and Statistics: Random variables, Uniform, normal, exponential, Poisson and binomial distributions. Mean, median, mode and standard deviation. Conditional probability and Bayes theorem.
  • Boolean algebra and minimization – algebraic technique, Karnaugh map, tabular method. Design of combinational and sequential circuits. Number representation and arithmetic (fixed and floating point).
  • Instruction set and addressing modes. Design of arithmetic and logic unit (ALU). Design of control unit – hardwired and microprogrammed. Memory interfacing and hierarchy: performance, cache memory mapping. I/O interface (interrupt and DMA). Instruction pipelining, pipeline hazards.
  • Programming in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs.
  • Searching, sorting, hashing. Asymptotic worst case time and space complexity. Algorithm design techniques: greedy, dynamic programming and divide-and-conquer. Graph traversals, minimum spanning trees, shortest paths.
  • Regular expressions and finite automata. Context-free grammars and push-down automata. Regular and context-free languages, pumping lemma. Turing machines and undecidability.
  • Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate code generation. Local optimisation, Data flow analyses: constant propagation, liveness analysis, common sub expression elimination.
  • System calls, processes, threads, inter-process communication, concurrency and synchronization. Deadlock. CPU and I/O scheduling. Memory management and virtual memory. File systems.
  • ER-model. Relational model: relational algebra, tuple calculus, SQL. Integrity constraints, normal forms. File organization, indexing (e.g., B and B+ trees). Transactions and concurrency control.
  • Principles of Layering; Basics of switching (circuit, packet and virtual circuit) and performance metrics;
  • Data link layer: error detection, Medium Access Control, Ethernet; Distance vector and link state routing; IPv4 - Fragmentation, CIDR Notation, Network Address Translation; TCP- flow control and congestion control, socket API; DNS and HTTP.
Paper Code ME (Mechanical Engineering)
Duration 3 Hours (180 Minutes)
Total Questions 65 Questions (10 GA + 55 Technical/Math)
Negative Marking MCQ: 1/3 (1-mark) & 2/3 (2-mark) | MSQ & NAT: Zero Negative Marking
Examination Parameter Official Structure & Marks Distribution
General Aptitude (GA) 15 Marks (5 Questions × 1 Mark + 5 Questions × 2 Marks)
Engineering Mathematics 13 Marks (Integrated in Subject Paper)
Core Mechanical Engineering (ME) 72 Marks (Core Engineering Topics)
Total Marks 100 Marks (65 Questions)
Detailed Syllabus
2 Sections
Swipe
  • Basic English grammar: tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech
  • Basic vocabulary: words, idioms, and phrases in context.
  • Reading and comprehension, Narrative sequencing.
  • Data interpretation: data graphs (bar graphs, pie charts, and other graphs representing data), 2- and 3-dimensional plots, maps, and tables
  • Numerical computation and estimation: ratios, percentages, powers, exponents and logarithms, permutations and combinations, and series Mensuration and geometry Elementary statistics and probability.
  • Logic: deduction and induction, Analogy, Numerical relations and reasoning.
  • Transformation of shapes: translation, rotation, scaling, mirroring, assembling, and grouping paper folding, cutting, and patterns in 2 and 3 dimensions.
  • Linear Algebra: Matrix algebra, systems of linear equations, eigen values and eigen vectors.
  • Calculus: Functions of single variable, limit, continuity and differentiability, mean value theorems, indeterminate forms; evaluation of definite and improper integrals; double and triple integrals; partial derivatives, total derivative, Taylor series (in one and two variables), maxima and minima, Fourier series; gradient, divergence and curl, vector identities, directional derivatives, line, surface and volume integrals, applications of Gauss, Stokes and Green's theorems.
  • Differential Equations: First order equations (linear and nonlinear); higher order linear differential equations with constant coefficients; Euler-Cauchy equation; initial and boundary value problems; Laplace transforms; solutions of heat, wave and Laplace's equations.
  • Complex Variables: Analytic functions; Cauchy-Riemann equations; Cauchy's integral theorem and contour integral formula; Taylor and Laurent series.
  • Probability and Statistics: Definitions of probability, sampling theorems, conditional probability; mean, median, mode and standard deviation; random variables, binomial, Poisson and normal distributions.
  • Numerical Methods: Numerical solutions of linear and non-linear algebraic equations; integration by trapezoidal and Simpson's rules; single and multi-step methods for ordinary differential equations.
  • Engineering Mechanics: Free-body diagrams and equilibrium; friction and its applications including rolling resistance, belt-pulley, brakes, clutches, screw jack, wedge, vehicles, etc.; plane trusses and frames; virtual work; kinematics and dynamics of rigid bodies in plane motion; impulse and momentum (linear and angular) and energy formulations.
  • Mechanics of Materials: Stress and strain, elastic constants and their relationships; stress and strain components transformations in 2D; Mohr's circle for plane stress and plane strain; thin-walled pressure vessels; shear force and bending moment diagrams; bending and shear stresses; concept of shear centre; deflection of beams; torsion of circular shafts; Euler's theory of columns; energy methods; thermal stresses; strain gauges and rosettes; Mechanical properties of materials, toughness, hardness, impact strength.
  • Theory of Machines: Displacement, velocity and acceleration analysis of plane mechanisms; dynamic analysis of linkages; cams; gears and gear trains; flywheels and governors; balancing of reciprocating and rotating masses; gyroscope.
  • Vibrations: Free and forced vibration of linear systems with single and two degrees of freedom, damping estimation and effects; vibration isolation, transmissibility ratio; resonance; critical speeds of shafts; Control system, PID controller, transfer function.
  • Machine Design: Design for static and dynamic loading; failure theories; fatigue strength and the S-N diagram; principles and design of machine elements such as bolted, riveted and welded joints; shafts, gears, belt drives, rolling and sliding contact bearings, brakes and clutches, springs.
  • Fluid Mechanics: Fluid properties; fluid statics, forces on submerged bodies, stability of floating bodies; control-volume analysis of mass, momentum and energy; fluid acceleration; differential equations of continuity and momentum; concept of velocity potential; Bernoulli's equation; dimensional analysis; viscous flow of incompressible fluids, boundary layer, elementary turbulent flow, flow through pipes, head losses in pipes, bends and fittings; One dimensional high speed compressible fluid flow; flow through converging and converging-diverging nozzles.
  • Heat Transfer: Modes of heat transfer; one dimensional heat conduction, resistance concept and electrical analogy, heat transfer through fins; unsteady heat conduction, lumped parameter system, thermal boundary layer, dimensionless parameters in free and forced convective heat transfer, heat transfer correlations for flow over flat plates and through pipes; boiling and condensation; effect of turbulence; heat exchanger performance, LMTD and NTU methods; radiative heat transfer, Stefan-Boltzmann law, Wien's displacement law, black and grey surfaces, view factors, radiation network analysis.
  • Thermodynamics: Thermodynamic systems and processes; properties of pure substances, behaviour of ideal and real gases; zeroth, first and second laws of thermodynamics, calculation of work, heat, energy changes and entropy changes in various processes; application of first and second laws for analysis of closed and open systems; thermodynamic property charts and tables, availability and irreversibility; thermodynamic relations.
  • Applications: Power Engineering: vapour and gas power cycles, concepts of regeneration and reheat; I.C. Engines: Air-standard Otto, Diesel and dual cycles; Basics of Combustion: Air-Fuel Ratio, Equivalence Ratio; Refrigeration and air-conditioning: Vapour and gas refrigeration and heat pump cycles, properties of moist air, psychrometric chart, basic psychrometric processes; Turbomachinery: Impulse and reaction principles, velocity diagrams, Pelton-wheel, Francis and Kaplan turbines, steam and gas turbines, Air and gas compressors, pumps and pump characteristics.
  • Engineering Materials: Crystal structure of common metals, phase diagrams, heat treatment; Properties and applications of engineering materials - metals and alloys, polymers, composites and ceramics; Engineering and true stress-strain diagrams.
  • Casting, Forming and Joining Processes: Different types of casting processes; Patterns, moulds and core; Solidification and cooling, riser and gating design, casting defects; Plastic deformation and yield criteria; Hot working and cold working; Principles of bulk forming and sheet forming processes and estimation of load in these processes; Fundamentals of powder metallurgy and its applications; Principles of welding, brazing, soldering; Solid-state welding processes, adhesive bonding; Non-destructive testing methods.
  • Machining and Machine Tool Operations: Basic machining operations and machine tools; Single-point and multipoint cutting tools; Geometry of single-point turning tools - ASA and ORS systems; Mechanics of machining; Cutting tool materials, tool life and tool wear; Economics of machining; Abrasive machining processes; Principles and applications of non-traditional machining processes; Principles of work holding, jigs and fixtures.
  • Additive Manufacturing: Principles of different types of additive manufacturing processes for engineering materials; Additively manufactured products – advantages, limitations, and applications.
  • Metrology and Inspection: Limits, fits and tolerances; Linear and angular measurements; Comparators; Interferometry; Form and finish measurement; Alignment and testing methods; Tolerance analysis in manufacturing and assembly; Principle of coordinate-measuring machine (CMM).
  • Computer Aided Manufacturing and Automation: Basic concepts of CAD/CAM and their integration tools; NC/CNC machines and CNC programming; Pneumatic, electro-pneumatic, and hydraulic actuators for automation; Programmable logic controllers.
  • Production Planning and Control: Work study, Productivity, Forecasting models, Aggregate production planning, Scheduling, Materials requirement planning, Six sigma, Lean manufacturing, Inventory Control – deterministic models, safety stock, inventory control systems, Quality and reliability concepts for product lifecycle analysis.
  • Operations Research: Linear programming, Simplex method, Transportation, Assignment, Network flow models, Simple queuing models, PERT and CPM.
Paper Code EE (Electrical Engineering)
Duration 3 Hours (180 Minutes)
Total Questions 65 Questions (10 GA + 55 Technical/Math)
Negative Marking MCQ: 1/3 (1-mark) & 2/3 (2-mark) | MSQ & NAT: Zero Negative Marking
Examination Parameter Official Structure & Marks Distribution
General Aptitude (GA) 15 Marks (5 Questions × 1 Mark + 5 Questions × 2 Marks)
Engineering Mathematics 13 Marks (Integrated in Subject Paper)
Core Electrical Engineering (EE) 72 Marks (Core Engineering Topics)
Total Marks 100 Marks (65 Questions)
Detailed Syllabus
2 Sections
Swipe
  • Basic English grammar: tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech
  • Basic vocabulary: words, idioms, and phrases in context.
  • Reading and comprehension, Narrative sequencing.
  • Data interpretation: data graphs (bar graphs, pie charts, and other graphs representing data), 2- and 3-dimensional plots, maps, and tables
  • Numerical computation and estimation: ratios, percentages, powers, exponents and logarithms, permutations and combinations, and series Mensuration and geometry Elementary statistics and probability.
  • Logic: deduction and induction, Analogy, Numerical relations and reasoning.
  • Transformation of shapes: translation, rotation, scaling, mirroring, assembling, and grouping paper folding, cutting, and patterns in 2 and 3 dimensions.
  • Linear Algebra: Matrix Algebra, Systems of linear equations, Eigen values, Eigen vectors.
  • Calculus: Mean value theorems, Theorems of integral calculus, Evaluation of definite and improper integrals, Partial Derivatives, Maxima and minima, Multiple integrals, Fourier series, Vector identities, Directional derivatives, Line integral, Surface integral, Volume integral, Stokes's theorem, Gauss's theorem, Divergence theorem, Green's theorem.
  • Differential Equations: First order equations (linear and nonlinear), Higher order linear differential equations with constant coefficients, Method of variation of parameters, Cauchy's equation, Euler's equation, Initial and boundary value problems, Partial Differential Equations, Method of separation of variables.
  • Complex Variables: Analytic functions, Cauchy's integral theorem, Cauchy's integral formula, Taylor series, Laurent series, Residue theorem, Solution integrals.
  • Probability and Statistics: Sampling theorems, Conditional probability, Mean, Median, Mode, Standard Deviation, Random variables, Discrete and Continuous distributions, Poisson distribution, Normal distribution, Binomial distribution, Correlation analysis, Regression analysis.
  • Network Elements: Ideal voltage and current sources, dependent sources, R, L, C, M elements; Network solution methods: KCL, KVL, Node and Mesh analysis; Network Theorems: Thevenin's, Norton's, Superposition and Maximum Power Transfer theorem; Transient response of DC and AC networks, sinusoidal steady-state analysis, resonance, two port networks, balanced three phase circuits, star-delta transformation, complex power and power factor in AC circuits.
  • Coulomb's Law, Electric Field Intensity, Electric Flux Density, Gauss's Law, Divergence, Electric field and potential due to point, line, plane and spherical charge distributions, Effect of dielectric medium, Capacitance of simple configurations, Biot-Savart's law, Ampere's law, Curl, Faraday's law, Lorentz force, Inductance, Magnetomotive force, Reluctance, Magnetic circuits, Self and Mutual inductance of simple configurations.
  • Representation of continuous and discrete time signals, shifting and scaling properties, linear time invariant and causal systems, Fourier series representation of continuous and discrete time periodic signals, sampling theorem, Applications of Fourier Transform for continuous and discrete time signals, Laplace Transform and Z transform. R.M.S. value, average value calculation for any general periodic waveform.
  • Single phase transformer: equivalent circuit, phasor diagram, open circuit and short circuit tests, regulation and efficiency; Three-phase transformers: connections, vector groups, parallel operation; Auto-transformer, Electromechanical energy conversion principles; DC machines: separately excited, series and shunt, motoring and generating mode of operation and their characteristics, speed control of dc motors; Three-phase induction machines: principle of operation, types, performance, torque-speed characteristics, no-load and blocked-rotor tests, equivalent circuit, starting and speed control; Operating principle of single-phase induction motors; Synchronous machines: cylindrical and salient pole machines, performance and characteristics, regulation and parallel operation of generators, starting of synchronous motors; Types of losses and efficiency calculations of electric machines.
  • Basic concepts of electrical power generation, AC and DC transmission concepts, Models and performance of transmission lines and cables, Economic Load Dispatch (with and without considering transmission losses), Series and shunt compensation, Electric field distribution and insulators, Distribution systems, Per-unit quantities, Bus admittance matrix, Gauss- Seidel and Newton-Raphson load flow methods, Voltage and Frequency control, Power factor correction, Symmetrical components, Symmetrical and unsymmetrical fault analysis, Principles of over-current, differential, directional and distance protection; Circuit breakers, System stability concepts, Equal area criterion.
  • Mathematical modelling and representation of systems, Feedback principle, transfer function, Block diagrams and Signal flow graphs, Transient and Steady-state analysis of linear time invariant systems, Stability analysis using Routh-Hurwitz and Nyquist criteria, Bode plots, Root loci, Lag, Lead and Lead-Lag compensators; P, PI and PID controllers; State space model, Solution of state equations of LTI systems.
  • Bridges and Potentiometers, Measurement of voltage, current, power, energy and power factor; Instrument transformers, Digital voltmeters and multi-meters, Phase, Time and Frequency measurement; Oscilloscopes, Error analysis.
  • Simple diode circuits: clipping, clamping, rectifiers; Amplifiers: biasing, equivalent circuit and frequency response; oscillators and feedback amplifiers; operational amplifiers: characteristics and applications; single stage active filters, Active Filters: Sallen Key, Butterworth, VCOs and timers, combinatorial and sequential logic circuits, multiplexers, demultiplexers, Schmitt triggers, sample and hold circuits, A/D and D/A converters.
  • Static V-I characteristics and firing/gating circuits for Thyristor, MOSFET, IGBT; DC to DC conversion: Buck, Boost and Buck-Boost Converters; Single and three-phase configuration of uncontrolled rectifiers; Voltage and Current commutated Thyristor based converters; Bidirectional ac to dc voltage source converters; Magnitude and Phase of line current harmonics for uncontrolled and thyristor based converters; Power factor and Distortion Factor of AC to DC converters; Single-phase and three-phase voltage and current source inverters, sinusoidal pulse width modulation.
Paper Code CE (Civil Engineering)
Duration 3 Hours (180 Minutes)
Total Questions 65 Questions (10 GA + 55 Technical/Math)
Negative Marking MCQ: 1/3 (1-mark) & 2/3 (2-mark) | MSQ & NAT: Zero Negative Marking
Examination Parameter Official Structure & Marks Distribution
General Aptitude (GA) 15 Marks (5 Questions × 1 Mark + 5 Questions × 2 Marks)
Engineering Mathematics 13 Marks (Integrated in Subject Paper)
Core Civil Engineering (CE) 72 Marks (Core Engineering Topics)
Total Marks 100 Marks (65 Questions)
Detailed Syllabus
2 Sections
Swipe
  • Basic English grammar: tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech
  • Basic vocabulary: words, idioms, and phrases in context.
  • Reading and comprehension, Narrative sequencing.
  • Data interpretation: data graphs (bar graphs, pie charts, and other graphs representing data), 2- and 3-dimensional plots, maps, and tables
  • Numerical computation and estimation: ratios, percentages, powers, exponents and logarithms, permutations and combinations, and series Mensuration and geometry Elementary statistics and probability.
  • Logic: deduction and induction, Analogy, Numerical relations and reasoning.
  • Transformation of shapes: translation, rotation, scaling, mirroring, assembling, and grouping paper folding, cutting, and patterns in 2 and 3 dimensions.
  • Linear Algebra: Matrix algebra; Systems of linear equations; eigenvalues and eigenvectors.
  • Calculus: Functions of single variable; Limit, continuity and differentiability; Mean value theorems, local maxima and minima; Taylor series; Evaluation of definite and indefinite integrals, application of definite integral to obtain area and volume; Partial derivatives; Total derivative; Gradient, Divergence and Curl, Vector identities; Directional derivatives; Line, Surface and Volume integrals.
  • Ordinary Differential Equation (ODE): First order (linear and non-linear) equations; higher order linear equations with constant coefficients; Euler-Cauchy equations; initial and boundary value problems.
  • Partial Differential Equation (PDE): Fourier series; Separation of variables; solutions of one-dimensional diffusion equation; first and second order one-dimensional wave equation and two-dimensional Laplace equation.
  • Probability and Statistics: Basic concepts of probability – axioms and theorems, statistical independence; Conditional probability; Descriptive statistics – Mean, median, mode and standard deviation; Random Variables – Probability mass function, probability density function, cumulative distribution function; Poisson and Normal Distribution; Linear regression.
  • Numerical Methods: Error analysis. Numerical solutions of linear and nonlinear algebraic equations; Newton’s and Lagrange polynomials; numerical differentiation; Integration by trapezoidal and Simpson’s rule; Single and multi-step methods for firstorder differential equations.
  • Engineering Mechanics: System of forces, free-body diagrams, equilibrium equations; Internal forces in structures; Frictions and its applications; Centre of mass.
  • Solid Mechanics: Bending moment and shear force in statically determinate beams; Transformation of stress (Mohr’s circle); Simple stress and strain relationships; Simple bending theory, flexural and shear stresses, shear centre; Uniform torsion; Combined stresses; Column buckling.
  • Structural Analysis: Principle of superposition; Work and energy methods: Principle of virtual work, Castigliano’s second theorem; Deflections of statically determinate beams, frames, and trusses; Analysis of statically indeterminate structures by force and displacement methods (method of consistent deformations, slope-deflection method, moment distribution method); Influence lines and moving loads; Stiffness matrix method; Analysis of determinate arches and cables.
  • Concrete Structures: Working stress and limit state design concepts; Design and detailing of beams, slabs, columns, and isolated footings; Bond and development length.
  • Steel Structures: Working stress and limit state design concepts; Design of tension and compression members, beams and beam-columns, column bases; Connections – simple and eccentric, beam-column connections; Concept of plastic analysis – beams and portal frames.
  • Soil Mechanics: Three-phase system and phase relationships, index properties; Unified and Indian standard soil classification system; Permeability – one dimensional flow, Seepage through soils – two-dimensional flow, flow nets, uplift pressure, piping, capillarity, seepage force; Principle of effective stress and quicksand condition; Compaction of soils; One-dimensional consolidation, time rate of consolidation; Shear Strength, Mohr’s circle, effective and total shear strength parameters; Stress-strain characteristics of clays and sand; Stress paths.
  • Foundation Engineering: Sub-surface investigations – Drilling bore holes, sampling, plate load test, standard penetration and cone penetration tests; Earth pressure theories – Rankine and Coulomb; Stability of slopes – Finite and infinite slopes, Bishop’s method; Sheet Piles; Stress distribution in soils – Boussinesq’s theory; Pressure bulbs; Shallow foundations – Terzaghi’s and Meyerhof’s bearing capacity theories, effect of water table; Combined footing and raft foundation; Contact pressure; Settlement analysis in sands and clays; Deep foundations – static formulae, axial load capacity of piles in sands and clays, pile load test, pile under lateral loading, pile group efficiency, negative skin friction; Ground improvement techniques.
  • Fluid Mechanics: Properties of fluids, fluid statics; Continuity, momentum and energy equations and their applications; Potential flow, Laminar and turbulent flow; Flow in pipes, pipe networks; Concept of boundary layer and its growth; Concept of lift and drag.
  • Hydraulics: Forces on immersed bodies; Flow measurement in channels and pipes; Dimensional analysis and hydraulic similitude; Channel Hydraulics – Energy-depth relationships, specific energy, critical flow, hydraulic jump, uniform flow, gradually varied flow and water surface profiles; Prismatic and mobile channels, steady and unsteady flows, rapidly varied flow and hydraulic jump; Flow past sharp crested weirs.
  • Hydrology: Hydrologic cycle, precipitation, evaporation, evapo-transpiration, watershed, infiltration; Streamflow measurements, unit hydrographs, hydrograph analysis, reservoir capacity, flood estimation and routing, surface runoff models, ground water hydrology – steady state well hydraulics and aquifers; Application of Darcy’s Law.
  • Irrigation: Types of irrigation systems and methods; Crop water requirements – Duty, delta, evapo-transpiration; Gravity dams and spillways; Lined and unlined canals, Design of weirs on permeable foundation; cross drainage structures; River training structures; Earthen dams; Seepage through dams; Well irrigation.
  • Water and Waste Water Quality and Treatment: Basics of water quality standards – Physical, chemical and biological parameters; Water quality index; Unit processes and operations; Water requirement; Water distribution system; Drinking water treatment. Sewerage system design, quantity of domestic wastewater, primary, secondary and tertiary treatment. Effluent discharge standards; Sludge treatment and disposal; Reuse of treated sewage for different applications.
  • Air Pollution: Types of pollutants, their sources and impacts, air pollution control, air quality standards, Air quality index and limits.
  • Municipal Solid Wastes: Characteristics, generation, collection and transportation of solid wastes, engineered systems for solid waste management (reuse/recycle, energy recovery, treatment and disposal); Basics of landfill design and operation.
  • Transportation Infrastructure: Geometric design of roadways using IRC codes – crosssectional elements, sight distances, classifications of roadways, design vehicle, horizontal and vertical alignments. Geometric design of railway Track – Speed and cant. Concept of airport runway length, calculations and corrections; taxiway and exit taxiway design.
  • Highway Pavements: Highway materials – desirable properties and tests; Desirable properties of bituminous paving mixes; Design factors for flexible and rigid pavements; Design of flexible and rigid pavement using IRC codes.
  • Traffic Engineering: Traffic studies on flow and speed, peak hour factor, accident study, statistical analysis of traffic data; Microscopic and macroscopic parameters of traffic flow, fundamental relationships; Traffic signs; Signal design by Webster’s method; Types of intersections and interchanges; Highway capacity and level of service.
  • Transportation Planning: Four step travel demand modelling – trip generation, trip distribution, mode choice, traffic assignment and its applications.
  • Surveying: Principles of surveying; Plane and geodetic surveying, GNSS surveying, errors and their adjustment; Maps – Scale, coordinate system; Distance and angle measurement – Levelling and trigonometric levelling; Traversing and triangulation survey; Total station; Principles of topographic, cadastral, engineering; Introduction to cartography, map projections.
  • Photogrammetry: Introduction to photogrammetry, digital photogrammetry, photographic scale, flying height; Space resection, parallax equations, elevations by parallax differences, camera calibration.
  • Construction Materials: Steel – Composition, material properties and behaviour; Cement – composition, hydration and microstructure, chemical and mineral admixtures; Concrete – Constituents, mix design, short-term and long-term properties.
  • Construction Management: Types of construction projects; Estimation and costing – Quantity estimation using long wall and short wall method, center line method, analysis of rates; Project planning and scheduling: AOA and AON network analysis – PERT and CPM; Project updating and monitoring; Construction equipment – Equipment for earthwork, concreting, hoisting and transportation of materials; Types of contracts.
Exam Mode

Computer Based Test (CBT - Online)

Total Questions (Marks)

65 Questions (100 Marks)

Exam Duration

3 Hours (180 Minutes)

Marking & Question Types

MCQs (+1/+2 with negative), MSQs & NATs (No Negative)

How Mindyard Helps You Succeed

Built-In Virtual Calculator

Our testing interface includes an on-screen virtual calculator to get you accustomed to the official GATE tool.

Comprehensive MSQ & NAT sets

We include Multiple Select Questions and Numerical Answer Types to match current patterns.

Detailed Performance Analytics

Gain insights into your test scores, section-wise performance, and progress over time.

FAQ

Frequently Asked Questions

The GATE score is valid for three years from the date of announcement of the results.

Yes, Multiple Select Questions (MSQs) are a common feature in all papers.

Yes, undergraduate candidates in their third year or higher of any approved degree program are eligible.

Mindyard includes a built-in interactive Virtual Calculator, accurate test engine tracking, and in-depth performance analysis to master tricky NAT and MSQ questions.

Yes, immediately after submitting any test, you receive detailed scoring metrics, time-analysis, and solutions.

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