GATE syllabus for Civil Engineering

ENGINEERING MATHEMATICS

Linear Algebra: Matrix algebra, Systems of linear equations, Eigen values and eigenvectors.

Calculus: Functions of single variable, Limit, continuity and differentiability, Mean value
theorems, Evaluation of definite and improper integrals, Partial derivatives, Total derivative,
Maxima and minima, Gradient, Divergence and Curl, Vector identities, Directional derivatives,
Line, Surface and Volume integrals, Stokes, Gauss and Green’s theorems.

Differential equations: First order equations (linear and nonlinear), Higher order linear
differential equations with constant coefficients, Cauchy’s and Euler’s equations, Initial and
boundary value problems, Laplace transforms, Solutions of one dimensional heat and wave
equations and Laplace equation.

Complex variables: Analytic functions, Cauchy’s integral theorem, Taylor and Laurent series.

Probability and Statistics: Definitions of probability and sampling theorems, Conditional
probability, Mean, median, mode and standard deviation, Random variables, Poisson, Normal
and Binomial distributions.

Numerical Methods: Numerical solutions of linear and non-linear algebraic equations
Integration by trapezoidal and Simpson’s rule, single and multi-step methods for differential
equations.

STRUCTURAL ENGINEERING

Mechanics: Bending moment and shear force in statically determinate beams. Simple stress and
strain relationship: Stress and strain in two dimensions, principal stresses, stress transformation,
Mohr’s circle. Simple bending theory, flexural and shear stresses, unsymmetrical bending, shear
centre. Thin walled pressure vessels, uniform torsion, buckling of column, combined and direct
bending stresses.

Structural Analysis: Analysis of statically determinate trusses, arches, beams, cables and
frames, displacements in statically determinate structures and analysis of statically indeterminate
structures by force/ energy methods, analysis by displacement methods (slope deflection and
moment distribution methods), influence lines for determinate and indeterminate structures.
Basic concepts of matrix methods of structural analysis.

Concrete Structures: Concrete Technology- properties of concrete, basics of mix design.
Concrete design- basic working stress and limit state design concepts, analysis of ultimate load
capacity and design of members subjected to flexure, shear, compression and torsion by limit
state methods. Basic elements of prestressed concrete, analysis of beam sections at transfer and
service loads.

Steel Structures: Analysis and design of tension and compression members, beams and beamcolumns,column bases. Connections- simple and eccentric, beam–column connections, plate
girders and trusses. Plastic analysis of beams and frames.

GEOTECHNICAL ENGINEERING

Soil Mechanics: Origin of soils, soil classification, three-phase system, fundamental definitions,
relationship and interrelationships, permeability &seepage, effective stress principle,
consolidation, compaction, shear strength.

Foundation Engineering: Sub-surface investigations- scope, drilling bore holes, sampling,
penetration tests, plate load test. Earth pressure theories, effect of water table, layered soils.
Stability of slopes-infinite slopes, finite slopes. Foundation types-foundation design
requirements. Shallow foundations-bearing capacity, effect of shape, water table and other
factors, stress distribution, settlement analysis in sands & clays. Deep foundations–pile types,
dynamic & static formulae, load capacity of piles in sands & clays, negative skin friction.

WATER RESOURCES ENGINEERING

Fluid Mechanics and Hydraulics: Properties of fluids, principle of conservation of mass,
momentum, energy and corresponding equations, potential flow, applications of momentum and
Bernoulli’s equation, laminar and turbulent flow, flow in pipes, pipe networks. Concept of
boundary layer and its growth. Uniform flow, critical flow and gradually varied flow in channels,
specific energy concept, hydraulic jump. Forces on immersed bodies, flow measurements in
channels, tanks and pipes. Dimensional analysis and hydraulic modeling. Kinematics of flow,
velocity triangles and specific speed of pumps and turbines.

Hydrology: Hydrologic cycle, rainfall, evaporation, infiltration, stage discharge relationships,
unit hydrographs, flood estimation, reservoir capacity, reservoir and channel routing. Well
hydraulics.

Irrigation: Duty, delta, estimation of evapo-transpiration. Crop water requirements. Design of:
lined and unlined canals, waterways, head works, gravity dams and spillways. Design of weirs
on permeable foundation. Types of irrigation system, irrigation methods. Water logging and
drainage, sodic soils.

ENVIRONMENTAL ENGINEERING

Water requirements: Quality standards, basic unit processes and operations for water
treatment. Drinking water standards, water requirements, basic unit operations and unit processes
for surface water treatment, distribution of water. Sewage and sewerage treatment, quantity and
characteristics of wastewater. Primary, secondary and tertiary treatment of wastewater, sludge
disposal, effluent discharge standards. Domestic wastewater treatment, quantity of characteristics
of domestic wastewater, primary and secondary treatment Unit operations and unit processes of
domestic wastewater, sludge disposal.

Air Pollution: Types of pollutants, their sources and impacts, air pollution meteorology, air
pollution control, air quality standards 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).

Noise Pollution: Impacts of noise, permissible limits of noise pollution, measurement of noise
and control of noise pollution.

TRANSPORTATION ENGINEERING

Highway Planning: Geometric design of highways, testing and specifications of paving
materials, design of flexible and rigid pavements.

Traffic Engineering: Traffic characteristics, theory of traffic flow, intersection design, traffic
signs and signal design, highway capacity.

SURVEYING

Importance of surveying, principles and classifications, mapping concepts, coordinate system,
map projections, measurements of distance and directions, leveling, theodolite traversing, plane
table surveying, errors and adjustments, curves.


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GATE Syllabus for Chemical Engineering (CH)

Engineering Mathematics

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, Evaluation of definite and
improper integrals, Partial derivatives, Total derivative, Maxima and minima, Gradient, Divergence and Curl, Vector dentities,
Directional derivatives, Line, Surface and Volume integrals, Stokes, Gauss and Green's theorems.

Differential equations: First order equations (linear and nonlinear), Higher order linear differential equations with constant
coefficients, Cauchy's and Euler's equations, Initial and boundary value problems, Laplace transforms, Solutions of one dimensional
heat and wave equations and Laplace equation.

Complex variables: Analytic functions, Cauchy's integral theorem, Taylor and Laurent series, Residue theorem.

Probability and Statistics: Definitions of probability and sampling theorems, Conditional probability, Mean, median, mode and
standard deviation, Random variables, Poisson, Normal and Binomial distributions.

Numerical Methods: Numerical solutions of linear and non-linear algebraic equations Integration by trapezoidal and Simpson's rule,
single and multi-step methods for differential equations.

Chemical Engineering

Process Calculations and Thermodynamics: Laws of conservation of mass and energy; use of tie omponents; recycle, bypass and purge calculations; degree of freedom analysis. First and Second laws of thermodynamics. First law application to close and open systems. Second law and Entropy Thermodynamic properties of pure substances: equation of state and departure function, properties of mixtures: partial molar properties, fugacity, excess properties and activity coefficients; phase equilibria: predicting VLE of systems; chemical reaction equilibria.

Fluid Mechanics and Mechanical Operations: Fluid statics, Newtonian and non-Newtonian fluids, Bernoulli equation, Macroscopic friction factors, energy balance, dimensional analysis, shell balances, flow through pipeline systems, flow meters, pumps and compressors, packed and fluidized beds, elementary boundary layer theory, size reduction and size separation; free and hindered settling; centrifuge and cyclones; thickening and classification, filtration, mixing and agitation; conveying of solids.

Heat Transfer: Conduction, convection and radiation, heat transfer coefficients, steady and unsteady heat conduction, boiling, condensation and evaporation; types of heat exchangers and evaporators and their design.

Mass Transfer: Fick's laws, molecular diffusion in fluids, mass transfer coefficients, film, penetration and surface renewal theories; momentum, heat and mass transfer analogies; stagewise and continuous contacting and stage efficiencies; HTU & NTU concepts design and operation of equipment for distillation, absorption, leaching, liquid-liquid extraction, drying, humidification, dehumidification and adsorption.

Chemical Reaction Engineering: Theories of reaction rates; kinetics of homogeneous reactions, interpretation of kinetic data, single and multiple reactions in ideal reactors, non-ideal reactors; residence time distribution, single parameter model; non-isothermal reactors; kinetics of heterogeneous catalytic reactions; diffusion effects in catalysis.

Instrumentation and Process Control: Measurement of process variables; sensors, transducers and their dynamics, transfer functions and dynamic responses of simple systems, process reaction curve, controller modes (P, PI, and PID); control valves; analysis of closed loop systems including stability, frequency response and controller tuning, cascade, feed forward control.

Plant Design and Economics: Process design and sizing of chemical engineering equipment such as compressors, heat exchangers, multistage contactors; principles of process economics and cost estimation including total annualized cost, cost indexes, rate of return, payback period, discounted cash flow, optimization in design.

Chemical Technology: Inorganic chemical industries; sulfuric acid, NaOH, fertilizers (Ammonia, Urea, SSP and TSP); natural products industries (Pulp and Paper, Sugar, Oil, and Fats); petroleum refining and petrochemicals; polymerization industries; polyethylene, polypropylene, PVC and polyester synthetic fibers.

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GATE syllabus for Mechanical engineering (ME)

ENGINEERING MATHEMATICS

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, Evaluation of definite and improper integrals, Partial derivatives, Total derivative,
Maxima and minima, Gradient, Divergence and Curl, Vector identities, Directional derivatives,
Line, Surface and Volume integrals, Stokes, Gauss and Green’s theorems.
Differential equations: First order equations (linear and nonlinear), Higher order linear
differential equations with constant coefficients, Cauchy’s and Euler’s equations, Initial and
boundary value problems, Laplace transforms, Solutions of one dimensional heat and wave
equations and Laplace equation.

Complex variables: Analytic functions, Cauchy’s integral theorem, Taylor and Laurent series.

Probability and Statistics: Definitions of probability and sampling theorems, Conditional
probability, Mean, median, mode and standard deviation, Random variables, Poisson,Normal and
Binomial distributions.

Numerical Methods: Numerical solutions of linear and non-linear algebraic equations
Integration by trapezoidal and Simpson’s rule, single and multi-step methods for differential
equations.

APPLIED MECHANICS AND DESIGN

Engineering Mechanics: Free body diagrams and equilibrium; trusses and frames; virtual work;
kinematics and dynamics of particles and of rigid bodies in plane motion, including impulse and
momentum (linear and angular) and energy formulations; impact.

Strength of Materials: Stress and strain, stress-strain relationship and elastic constants, Mohr’s
circle for plane stress and plane strain, thin cylinders; shear force and bending moment diagrams;
bending and shear stresses; deflection of beams; torsion of circular shafts; Euler’s theory of
columns; strain energy methods; thermal stresses.

Theory of Machines: Displacement, velocity and acceleration analysis of plane mechanisms;
dynamic analysis of slider-crank mechanism; gear trains; flywheels.

Vibrations: Free and forced vibration of single degree of freedom systems; effect of damping;
vibration isolation; resonance, critical speeds of shafts.

Design: Design for static and dynamic loading; failure theories; fatigue strength and the S-N
diagram; principles of the design of machine elements such as bolted, riveted and welded joints,
shafts, spur gears, rolling and sliding contact bearings, brakes and clutches.

FLUID MECHANICS AND THERMAL SCIENCES

Fluid Mechanics: Fluid properties; fluid statics, manometry, buoyancy; control-volume analysis
of mass, momentum and energy; fluid acceleration; differential equations of continuity and
momentum; Bernoulli’s equation; viscous flow of incompressible fluids; boundary layer;
elementary turbulent flow; flow through pipes, head losses in pipes, bends etc.

Heat-Transfer: Modes of heat transfer; one dimensional heat conduction, resistance concept,
electrical analogy, unsteady heat conduction, fins; dimensionless parameters in free and forced
convective heat transfer, various correlations for heat transfer in flow over flat plates and through
pipes; thermal boundary layer; effect of turbulence; radiative heat transfer, black and grey
surfaces, shape factors, network analysis; heat exchanger performance, LMTD and NTU
methods.

Thermodynamics:Zeroth, First and Second laws of thermodynamics; thermodynamic system
and processes; Carnot cycle.irreversibility and availability; behaviour of ideal and real gases,
properties of pure substances, calculation of work and heat in ideal processes; analysis of
thermodynamic cycles related to energy conversion.

Applications:Power Engineering: Steam Tables, Rankine, Brayton cycles with regeneration and
reheat. I.C. Engines: air-standard Otto, Diesel cycles. Refrigeration and air-conditioning:
Vapour refrigeration cycle, heat pumps, gas refrigeration, Reverse Brayton cycle; moist air:
psychrometric chart, basic psychrometric processes. Turbomachinery:Pelton-wheel, Francis and
Kaplan turbines — impulse and reaction principles, velocity diagrams.

MANUFACTURING AND INDUSTRIAL ENGINEERING

Engineering Materials: Structure and properties of engineering materials, heat treatment, stressstraindiagrams for engineering materials.

Metal Casting: Design of patterns, moulds and cores; solidification and cooling; riser and gating
design, design considerations.

Forming: Plastic deformation and yield criteria; fundamentals of hot and cold working
processes; load estimation for bulk (forging, rolling, extrusion, drawing) and sheet (shearing,
deep drawing, bending) metal forming processes; principles of powder metallurgy.

Joining: Physics of welding, brazing and soldering; adhesive bonding; design considerations in
welding.

Machining and Machine Tool Operations: Mechanics of machining, single and multi-point
cutting tools, tool geometry and materials, tool life and wear; economics of machining;
principles of non-traditional machining processes; principles of work holding, principles of
design of jigs and fixtures

Metrology and Inspection: Limits, fits and tolerances; linear and angular measurements;
comparators; gauge design; interferometry; form and finish measurement; alignment and testing
methods; tolerance analysis in manufacturing and assembly.

Computer Integrated Manufacturing: Basic concepts of CAD/CAM and their integration
tools.

Production Planning and Control: Forecasting models, aggregate production planning,
scheduling, materials requirement planning.

Inventory Control: Deterministic and probabilistic models; safety stock inventory control
systems.

Operations Research: Linear programming, simplex and duplex method, transportation,
assignment, network flow models, simple queuing models, PERT and CPM.

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GATE Syllabus For Computer Engineering (Computer Science)

ENGINEERING MATHEMATICS

Mathematical Logic: Propositional Logic; First Order Logic.

Probability: Conditional Probability; Mean, Median, Mode and Standard Deviation; Random

Variables; Distributions; uniform, normal, exponential, Poisson, Binomial.

Set Theory & Algebra: Sets; Relations; Functions; Groups; Partial Orders; Lattice; Boolean
Algebra.

Combinatory: Permutations; Combinations; Counting; Summation; generating functions;
recurrence relations; asymptotics.

Graph Theory: Connectivity; spanning trees; Cut vertices & edges; covering; matching;
independent sets; Colouring; Planarity; Isomorphism.

Linear Algebra: Algebra of matrices, determinants, systems of linear equations, Eigen values
and Eigen vectors.

Numerical Methods: LU decomposition for systems of linear equations; numerical solutions of
non-linear algebraic equations by Secant, Bisection and Newton-Raphson Methods; Numerical
integration by trapezoidal and Simpson’s rules.

Calculus: Limit, Continuity & differentiability, Mean value Theorems, Theorems of integral
calculus, evaluation of definite & improper integrals, Partial derivatives, Total derivatives,
maxima & minima.

COMPUTER SCIENCE AND INFORMATION TECHNOLOGY

Digital Logic: Logic functions, Minimization, Design and synthesis of combinational and
sequential circuits; Number representation and computer arithmetic (fixed and floating point).

Computer Organization and Architecture: Machine instructions and addressing modes, ALU
and data-path, CPU control design, Memory interface, I/O interface (Interrupt and DMA mode),
Instruction pipelining, Cache and main memory, Secondary storage.

Programming and Data Structures: Programming in C; Functions, Recursion, Parameter
passing, Scope, Binding; Abstract data types, Arrays, Stacks, Queues, Linked Lists, Trees,
Binary search trees, Binary heaps.

Algorithms: Analysis, Asymptotic notation, Notions of space and time complexity, Worst and
average case analysis; Design: Greedy approach, Dynamic programming, Divide-and-conquer;
Tree and graph traversals, Connected components, Spanning trees, Shortest paths; Hashing,
Sorting, Searching. Asymptotic analysis (best, worst, average cases) of time and space, upper
and lower bounds, Basic concepts of complexity classes – P, NP, NP-hard, NP-complete.

Theory of Computation: Regular languages and finite automata, Context free languages and
Push-down automata, Recursively enumerable sets and Turing machines, Undecidability.

Compiler Design: Lexical analysis, Parsing, Syntax directed translation, Runtime environments,
Intermediate and target code generation, Basics of code optimization.

Operating System: Processes, Threads, Inter-process communication, Concurrency,
Synchronization, Deadlock, CPU scheduling, Memory management and virtual memory, File
systems, I/O systems, Protection and security.

Databases: ER-model, Relational model (relational algebra, tuple calculus), Database design
(integrity constraints, normal forms), Query languages (SQL), File structures (sequential files,
indexing, B and B+ trees), Transactions and concurrency control.
Information Systems and Software Engineering: information gathering, requirement and
feasibility analysis, data flow diagrams, process specifications, input/output design, process life
cycle, planning and managing the project, design, coding, testing, implementation, maintenance.

Computer Networks: ISO/OSI stack, LAN technologies (Ethernet, Token ring), Flow and error
control techniques, Routing algorithms, Congestion control, TCP/UDP and sockets, IP(v4),

Application layer protocols (icmp, dns, smtp, pop, ftp, http); Basic concepts of hubs, switches,
gateways, and routers. Network security – basic concepts of public key and private key
cryptography, digital signature, firewalls.

Web technologies: HTML, XML, basic concepts of client-server computing.

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GATE Syllabus For Electronics And Communication (ECE or EXTC)

MATHEMATICS

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, Surface and Volume integrals, Stokes, Gauss and Green’s theorems.

Complex variables: Analytic functions, Cauchy’s integral theorem and integral formula, Taylor’s and Laurent’ series, Residue theorem, solution integrals.

Linear Algebra: Matrix Algebra, Systems of linear equations, Eigen values and eigen vectors.

Differential equations: First order equation (linear and nonlinear), Higher order linear differential equations with constant coefficients, Method of variation of parameters, Cauchy’s and Euler’s equations, Initial and boundary value problems, Partial Differential Equations and variable separable method.

Numerical Methods: Solutions of non-linear algebraic equations, single and multi-step methods for differential equations.

Transform Theory: Fourier transform,Laplace transform, Z-transform.

Differential equations: First order equation (linear and nonlinear), Higher order linear differential equations with constant coefficients, Method of variation of parameters, Cauchy’s and Euler’s equations, Initial and boundary value problems, Partial Differential Equations and variable separable method.

Probability and Statistics: Sampling theorems, Conditional probability, Mean, median, mode and standard deviation, Random variables, Discrete and continuous distributions, Poisson,Normal and Binomial distribution, Correlation and regression analysis.

ELECTRONICS AND COMMUNICATION ENGINEERING

Electromagnetics: Elements of vector calculus: divergence and curl; Gauss’ and Stokes’ theorems, Maxwell’s equations: differential and integral forms. Wave equation, Poynting vector. Plane waves: propagation through various media; reflection and refraction; phase and group velocity; skin depth. Transmission lines: characteristic impedance; impedance transformation; Smith chart; impedance matching; S parameters, pulse excitation. Waveguides: modes in rectangular waveguides; boundary conditions; cut-off frequencies; dispersion relations. Basics of propagation in dielectric waveguide and optical fibers. Basics of Antennas: Dipole antennas; radiation pattern; antenna gain.

Communications: Random signals and noise: probability, random variables, probability density function, autocorrelation, power spectral density. Analog communication systems: amplitude and angle modulation and demodulation systems, spectral analysis of these operations, superheterodyne receivers; elements of hardware, realizations of analog communication systems; signal-to-noise ratio (SNR) calculations for amplitude modulation (AM) and frequency modulation (FM) for low noise conditions. Fundamentals of information theory and channel capacity theorem. Digital communication systems: pulse code modulation (PCM), differential pulse code modulation (DPCM), digital modulation schemes: amplitude, phase and frequency shift keying schemes (ASK, PSK, FSK), matched filter receivers, bandwidth consideration and probability of error calculations for these schemes. Basics of TDMA, FDMA and CDMA and GSM.

Control Systems: Basic control system components; block diagrammatic description, reduction of block diagrams. Open loop and closed loop (feedback) systems and stability analysis of these systems. Signal flow graphs and their use in determining transfer functions of systems; transient and steady state analysis of LTI control systems and frequency response. Tools and techniques for LTI control system analysis: root loci, Routh-Hurwitz criterion, Bode and Nyquist plots. Control system compensators: elements of lead and lag compensation, elements of Proportional-Integral-Derivative (PID) control. State variable representation and solution of state equation of LTI control systems.

Signals and Systems: Definitions and properties ofLaplace transform, continuous-time and discrete-time Fourier series, continuous-time and discrete-time Fourier Transform, DFT and FFT, z-transform. Sampling theorem. Linear Time-Invariant (LTI) Systems: definitions and properties; causality, stability, impulse response, convolution, poles and zeros, parallel and cascade structure, frequency response, group delay, phase delay. Signal transmission through LTI systems.

Digital circuits: Boolean algebra, minimization of Boolean functions; logic gates; digital IC families (DTL, TTL, ECL, MOS, CMOS). Combinatorial circuits: arithmetic circuits, code converters, multiplexers, decoders, PROMs and PLAs. Sequential circuits: latches and flip-flops, counters and shift-registers. Sample and hold circuits, ADCs, DACs. Semiconductor memories. Microprocessor(8085): architecture, programming, memory and I/O interfacing.

Networks: Network graphs: matrices associated with graphs; incidence, fundamental cut set and fundamental circuit matrices. Solution methods: nodal and mesh analysis. Network theorems: superposition, Thevenin and Norton’s maximum power transfer, Wye-Delta transformation. Steady state sinusoidal analysis using phasors. Linear constant coefficient differential equations; time domain analysis of simple RLC circuits, Solution of network equations usingLaplace transform: frequency domain analysis of RLC circuits. 2-port network parameters: driving point and transfer functions. State equations for networks.

Electronic Devices: Energy bands in silicon, intrinsic and extrinsic silicon. Carrier transport in silicon: diffusion current, drift current, mobility, and resistivity. Generation and recombination of carriers.p-n junction diode, Zener diode, tunnel diode, BJT, JFET, MOS capacitor, MOSFET, LED, p-I-n and avalanche photo diode, Basics of LASERs. Device technology: integrated circuits fabrication process, oxidation, diffusion, ion implantation, photolithography, n-tub, p-tub and twin-tub CMOS process.

Analog Circuits: Small Signal Equivalent circuits of diodes, BJTs, MOSFETs and analog CMOS. Simple diode circuits, clipping, clamping, rectifier.Biasing and bias stability of transistor and FET amplifiers. Amplifiers: single-and multi-stage, differential and operational, feedback, and power. Frequency response of amplifiers.Simple op-amp circuits. Filters. Sinusoidal oscillators; criterion for oscillation; single-transistor and op-amp configurations.Function generators and wave-shaping circuits, 555 Timers. Power supplies.

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GATE (Graduate Aptitude Test in Engineering)

The Graduate Aptitude Test in Engineering (GATE) is an all-India examination that primarily tests the comprehensive understanding of various undergraduate subjects in engineering and science. GATE is conducted jointly by the Indian Institute of Science, Bangalore and the seven Indian Institutes of Technology (Bombay, Delhi, Guwahati, Kanpur, Kharagpur, Madras and Roorkee) on behalf of the National Coordination Board – GATE, Department of Higher Education, Ministry of Human Resources Development (MHRD), Government of India.

The GATE score of a candidate reflects the performance level of a candidate. This score is used for admissions to various post-graduate programs (e.g. Master of Engineering, Master of Technology, Doctor of Philosophy) in Indian higher education institutes, with financial assistance provided by MHRD and other government agencies. GATE scores are also being used by several Indian public sector undertakings (i.e., government-owned companies) for recruiting graduate engineers in entry-level positions. It is one of the most competitive examinations in India.

Eligibility to take GATE exam

• Bachelor’s degree holders in Engineering/ Technology/ Architecture (4 years after 10+2/ Post-B.Sc./ Post-Diploma) and those who are in the final year of such programs.
• Master’s degree holders in any branch of Science/ Mathematics/ Statistics/ Computer Applications or equivalent and those who are in the final year of such programs.
• Candidates in the second or higher year of Four-year integrated Master’s degree programs (Post-B.Sc.) in Engineering/ Technology.
• Candidates in the fourth or higher year of Five-year integrated Master’s degree programs or Dual Degree programs in Engineering/Technology.

Duration and type of examination

The examination is of 3 hours duration, and contains a total of 65 questions worth a maximum of 100 marks. From 2014 onward, the examination for all the papers is carried out in an online Computer Based Test (CBT) mode where the candidates are shown the questions in a random sequence on a computer screen. The questions consist of both multiple choice questions and numerical answer type questions (answer is a real number, to be entered via an on-screen keypad and computer mouse). Candidates are provided with blank paper sheets for rough work and these have to be returned after the examination. At the end of the 3-hour window, the computer automatically closes the screen from further actions.

Results

GATE results are usually declared about one month after the examinations are over. The results show the total marks scored by a candidate, the GATE score, the all-India rank and the cut off marks for various categories in the candidate's paper. The score is valid for 3 years from the date of announcement of the results. The score cards are issued only to qualified candidates.

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