GATE Syllabus 2024: The syllabus for GATE 2024 is a very important part of the GATE exam preparation. Every year, the GATE syllabus is released for various papers, like CSE, ME, EE, ECE, CE, and DA through its official website: gate2024.iisc.ac.in. As of now, there are no changes introduced to the GATE Syllabus 2024 for CSE, Mechanical, EE, or ECE. The syllabus remains unchanged/stays the same as in previous years. There are two Sections in GATE Syllabus: General Aptitude core discipline. All GATE 2024 subjects include a common General Aptitude section. This section carries a weightage of 15% marks. The remaining 85% weightage is distributed amongst subjects and topics specific to the core discipline of the paper. The core discipline includes topics from Engineering Mathematics. Then comes the newly introduced paper on Data Science and Artificial Intelligence (DA).
Aspirants should be attuned to GATE Syllabus 2024 to craft an effective study plan. They should know all the topics that not only make up the GATE Syllabus but also the important topics that must be prioritized in the study schedule. This year, this computer-based test will be conducted jointly by the Indian Institute of Science (IISc) Bangalore, including seven Indian Institutes of Technology (IITs) at Bombay, Delhi, Kanpur, Guwahati, Kharagpur, Madras and Roorkee. The exam will be conducted representing the National Coordination Board (NCB)-GATE, Department of Higher Education, Ministry of Education (MoE), Government of India. They should, therefore, start covering the GATE 2024 syllabus today.
The complete understanding of the GATE 2024 Syllabus 2024 plays a pivotal role in helping a GATE aspirant gain insight into the subjects and topics covered for the GATE exams. Qualifying the GATE Exams 2024 is, is especially, crucial for those candidates who want to pursue M.Tech or ME from some renowned institutes like IITs, NIT, or IISC or join the Junior Research Fellowship in CSIR Laboratories or CSIR sponsored projects, etc. In addition, some PSUs (Public Sector Undertakings) also take into consideration the GATE Score in their recruitment process. At the same time, those who want to study abroad, get attractive job offers, grab a teaching job, or latch onto the chances of getting a placement in renowned foreign companies. Therefore, exhaustive knowledge of the GATE Syllabus aids students planning their studies and revision appropriately to clear the GATE 2024 exam first attempt.
We have compiled below, for the for easy reference the students, the list of subjects and topics that are part of the GATE Syllabus. This updated GATE syllabus 2024 is best road for the students to tread on to get a picture of the topics discussed under each section of the GATE exam subjects. Furthermore, students can click the sign-up link to take 1 FREE GATE 2024 mock test and start covering the GATE exam syllabus 2024 today. This way, they will be able to make customized study plans and alter them in time for regular improvement. They should not forget that GATE 2024 syllabus is their road to success in the upcoming GATE 2024 exam.
The GATE Engineering Mathematics Syllabus has a good weightage in GATE Syllabus 2024. It tests candidates’ mathematics, which is related to engineering. Questions from mathematics have a weightage of 13% in GATE 2024 syllabus for all the papers with codes such as AE, AG, BM, BT, CE, CH, EC, ES, IN, ME CS, MN, EE, MT, NM, PE, PI, and TF. Although for the XE paper of Engineering Sciences, there are questions of mathematics that have a weightage of 15%. Plus, all the papers from all the codes have questions on Linear Algebra and Calculus. However, the GATE Syllabus 2024 for Engineering Mathematics comprises different topics for all the paper codes. This means that candidates will have to study different math topics of their chosen paper. So, it’s important to know the syllabus carefully to know what mathematics they need to study for their specific paper code. Check out the important topics of mathematics for each paper listed in a table below.
| GATE Paper | Engineering Mathematics Important Topics |
| Aerospace Engineering (AE) | Linear Algebra, Calculus, Differential Equations |
| Agricultural Engineering (AG) | Linear Algebra, Calculus, Differential Equations, Vector Calculus, Probability, and Statistics, Numerical Methods |
| Biomedical Engineering (BM) | Linear Algebra, Calculus, Differential Equations, Analysis of complex variables, Probability, and Statistics, Numerical Methods |
| Biotechnology (BT) | Linear Algebra, Calculus, Differential Equations, Probability, and Statistics, Numerical Methods |
| Civil Engineering (CE) | Linear Algebra, Calculus, Ordinary Differential Equations (ODE), Partial Differential Equations (PDE), Probability and Statistics, Numerical Methods |
| Chemical Engineering (CH) | Linear Algebra, Calculus, Differential Equations, Probability and Statistics, Numerical Methods, Complex Variables |
| Computer Science and Information Technology (CS) | Linear Algebra, Calculus, Probability, and Statistics, Discrete Mathematics |
| Electronics and Communication (EC) | Linear Algebra, Calculus, Differential Equations, Probability and Statistics, Vector Analysis, Complex Analysis |
| Electrical Engineering (EE) | Linear Algebra, Calculus, Differential Equations, Probability and Statistics, Complex Variables |
| Environmental Science and Engineering (ES) | Linear Algebra, Calculus, Differential Equations, Probability and Statistics |
| Instrumentation Engineering (IN) | Linear Algebra, Calculus, Differential Equations, Analysis of Complex Variables, Probability and Statistics, Numerical Methods |
| Mechanical Engineering (ME) | Linear Algebra, Calculus, Differential Equations, Complex Variables, Probability and Statistics, Numerical Methods |
| Mining Engineering (MN) | Linear Algebra, Calculus, Differential Equations, Vector Calculus, Probability and Statistics, Numerical Methods |
| Metallurgical Engineering (MT) | Linear Algebra, Calculus, Differential Equations, Vector Calculus, Probability and Statistics, Numerical Methods |
| Petroleum Engineering (PE) | Linear Algebra, Calculus, Differential Equations, Probability and Statistics, Numerical Methods, Complex Variables |
| Production and Industrial Engineering (PI) | Linear Algebra, Calculus, Differential Equations, Complex Variables, Probability and Statistics, Numerical Methods |
| Textile Engineering and Fiber Science (TF) | Linear Algebra, Calculus, Differential Equations, Probability and Statistics, Numerical Methods |
| Engineering Sciences (XE) | Linear Algebra, Calculus, Ordinary Differential Equations (ODE), Partial Differential Equations (PDE), Probability and Statistics, Numerical Methods, Vector Calculus, Complex Variables |
GATE 2024 Data Science and AI Syllabus is a scoring part of GATE Syllabus 2024. It is categorized into two sections- (i) General Aptitude and (ii) Core Discipline carrying a weightage of 15 marks and 85 marks, separately. The core discipline includes 7 subjects. These 7 subjects are: Linear Algebra, Calculus and Optimization, Probability and Statistics, Programming, Database Management and Warehousing, Data Structures and Algorithms, Machine Learning and AI. Check out the table below to know the complete GATE Syllabus 2024 for DA:
| Subject | Topics |
| Probability and Statistics | Counting (permutation and combinations), probability axioms, Sample space, events, independent events, mutually exclusive events, marginal, conditional and joint probability, Bayes Theorem, conditional expectation and variance, mean, median, mode and standard deviation, correlation, and covariance, random variables, discrete random variables and probability mass functions, uniform, Bernoulli, binomial distribution, Continuous random variables and probability distribution function, uniform, exponential, Poisson, normal, standard normal, t-distribution, chi-squared distributions, cumulative distribution function, Conditional PDF, Central limit theorem, confidence interval, z-test, t-test, chi-squared test. |
| Linear Algebra | Vector space, subspaces, linear dependence and independence of vectors, matrices, projection matrix, orthogonal matrix, idempotent matrix, partition matrix, and their properties, quadratic forms, systems of linear equations and solutions; Gaussian elimination, eigenvalues, and eigenvectors, determinant, rank, nullity, projections, LU decomposition, singular value decomposition. |
| Calculus and Optimization | Functions of a single variable, limit, continuity, and differentiability, Taylor series, maxima and minima, optimization involving a single variable. |
| Programming, Data Structures and Algorithms | Programming in Python, basic data structures: stacks, queues, linked lists, trees, hash tables; Search algorithms: linear search and binary search, basic sorting algorithms: selection sort, bubble sort, and insertion sort; divide and conquer: mergesort, quicksort; introduction to graph theory; basic graph algorithms: traversals and shortest path. |
| Database Management and Warehousing | ER-model, relational model: relational algebra, tuple calculus, SQL, integrity constraints, normal form, file organization, indexing, data types, data transformation such as normalization, discretization, sampling, compression; data warehouse modeling: schema for multidimensional data models, concept hierarchies, measures: categorization and computations. |
| Machine Learning | (i) Supervised Learning: regression and classification problems, simple linear regression, multiple linear regression, ridge regression, logistic regression, k-nearest neighbor, naive Bayes classifier, linear discriminant analysis, support vector machine, decision trees, bias-variance trade-off, cross-validation methods such as leave-one-out (LOO) cross-validation, k-folds cross-validation, multi-layer perceptron, feed-forward neural network; (ii) Unsupervised Learning: clustering algorithms, k-means/k-medoid, hierarchical clustering, top-down, boƩom-up: single-linkage, multiple-linkage, dimensionality reduction, principal component analysis. |
| AI | Search: informed, uninformed, adversarial; logic, propositional, predicate; reasoning under uncertainty topics – conditional independence representation, exact inference through variable elimination, and approximate inference through sampling. |
All those candidates who want prepare for the GATE 2024 Civil Engineering must know the complete GATE Syllabus 2024 for Civil Engineering. GATE Syllabus for Civil Engineering is subdivided into 8 sections. Each section consists of several topics and sub-topics:
| Topics | Sub-Topics |
| GATE Syllabus 2024: Structural Engineering | |
| Engineering Mechanics | System of forces, free-body diagrams, equilibrium equations; Internal forces in structures; Frictions and its applications; Centre of mass; Free Vibrations of undamped SDOF system |
| Solid Mechanics | Bending moment and shear force in statically determinate beams; Simple stress and strain relationships; Simple bending theory, flexural and shear stresses, shear centre; Uniform torsion, Transformation of stress; buckling of column, combined and direct bending stresses |
| Structural Analysis | Statically determinate and indeterminate structures by force/ energy methods; Method of superposition; Analysis of trusses, arches, beams, cables and frames; Displacement methods: Slope deflection and moment distribution methods; Influence lines; Stiffness and flexibility methods of structural analysis |
| Construction Materials and Management | Construction Materials: Structural Steel – Composition, material properties and behaviour; Concrete – Constituents, mix design, short-term and long-term properties. Construction Management: Types of construction projects; Project planning and network analysis – PERT and CPM; Cost estimation |
| Concrete Structures | Working stress and Limit state design concepts; Design of beams, slabs, columns; Bond and development length; Prestressed concrete beams |
| 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, plate girders and trusses; Concept of plastic analysis -beams and frames |
| GATE Syllabus 2024: Geotechnical Engineering | |
| 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 boreholes, 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; Stress distribution in soils – Boussinesq’s theory; Pressure bulbs, Shallow foundations – Terzaghi’s and Meyerhoff’s bearing capacity theories, effect of water table; Combined footing and raft foundation; Contact pressure; Settlement analysis in sands and clays; Deep foundations – dynamic and static formulae, Axial load capacity of piles in sands and clays, pile load test, pile under lateral loading, pile group efficiency, negative skin friction |
| GATE Syllabus 2024: Water Resources Engineering | |
| 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 |
| Hydrology | Hydrologic cycle, precipitation, evaporation, evapotranspiration, watershed, infiltration, unit hydrographs, hydrograph analysis, reservoir capacity, flood estimation and routing, surface runoff models, groundwater hydrology – steady state well hydraulics and aquifers; Application of Darcy’s Law |
| Irrigation | Types of irrigation systems and methods; Crop water requirements – Duty, delta, evapotranspiration; Gravity Dams and Spillways; Lined and unlined canals, Design of weirs on permeable foundation; cross drainage structures |
| GATE Syllabus 2024: Environmental Engineering | |
| 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 and secondary treatment. Effluent discharge standards; Sludge 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) |
| Transportation Engineering | |
| Transportation Infrastructure | Geometric design of highways – cross-sectional elements, sight distances, 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; Highway capacity |
| Geomatics Engineering | |
| Geomatics Engineering | Principles of surveying; Errors and their adjustment; Maps – scale, coordinate system; Distance and angle measurement – Levelling and trigonometric levelling; Traversing and triangulation survey; Total station; Horizontal and vertical curves. Photogrammetry and Remote Sensing – Scale, flying height; Basics of remote sensing and GIS |
GATE Syllabus 2024 for Mechanical Engineering (ME) is particularly divided into 5 sections. Each section has several sub-topics. These 5 sections are:
Candidates can score 15 marks through General Aptitude section which is the total weightage it offers. Then, Engineering Mathematics carries a weightage of 13 marks. The remaining marks are distributed among other topics from the syllabus. Candidates can check previous years’ weightage of important topics from the GATE Syllabus for ME to improve their preparation process.
| Topics | Sub-Topics |
| GATE Syllabus 2024: Applied Mechanics and Design | |
| Engineering Mechanics | Free-body diagrams and equilibrium; friction and its applications including rolling friction, belt-pulley, brakes, clutches, screw jack, wedge, vehicles, etc.; trusses and frames; virtual work; kinematics and dynamics of rigid bodies in plane motion; impulse and momentum (linear and angular) and energy formulations; Lagrange’s equation |
| Mechanics of Materials | Stress and strain, elastic constants, Poisson’s ratio; Mohr’s circle for plane stress and plane strain; thin cylinders; 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; testing of materials with universal testing machine; testing of hardness and 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 single degree of freedom systems, effect of damping; vibration isolation; resonance; critical speeds of shafts |
| Machine Design | Design for static and dynamic loading; failure theories; fatigue strength and the SN diagram; principles of the design of machine elements such as bolted, riveted and welded joints; shafts, gears, rolling and sliding contact bearings, brakes and clutches, springs |
| GATE Syllabus 2024: Fluid Mechanics and Thermal Sciences | |
| 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; 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; basics of compressible fluid flow |
| 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, Heisler’s charts; thermal boundary layer, dimensionless parameters in free and forced convective heat transfer, heat transfer correlations for flow over flat plates and through pipes, 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, behavior of ideal and real gases; zeroth and first laws of thermodynamics, calculation of work and heat in various processes; second law of thermodynamics; thermodynamic property charts and tables, availability and irreversibility; thermodynamic relations |
| Applications | Power Engineering: Air and gas compressors; vapour and gas power cycles, concepts of regeneration and reheat. I.C. Engines: Air-standard Otto, Diesel and dual cycles. 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 |
| GATE Syllabus 2024: Materials, Manufacturing and Industrial Engineering | |
| Engineering Materials | Structure and properties of engineering materials, phase diagrams, heat treatment, stress-strain diagrams for engineering materials |
| Casting, Forming and Joining Processes | Different types of castings, design of patterns, moulds and cores; solidification and cooling; riser and gating design. 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. Principles of welding, brazing, soldering and adhesive bonding |
| Machining and Machine Tool Operations | Mechanics of machining; basic machine tools; 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, jigs and fixtures; abrasive machining processes; NC/CNC machines and CNC programming |
| 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; concepts of coordinate-measuring machine (CMM) |
| Computer Integrated Manufacturing | Basic concepts of CAD/CAM and their integration tools; additive manufacturing |
| Production Planning and Control | Forecasting models, aggregate production planning, scheduling, materials requirement planning; lean manufacturing |
| Inventory Control | Deterministic models; safety stock inventory control systems |
| Operations Research | Linear programming, simplex method, transportation, assignment, network flow models, simple queuing models, PERT and CPM |
GATE Syllabus 2024 for Electrical Engineering Syllabus is divided into 11 sections with multiple topics under each section. The General Aptitude section from GATE Syllabus for EE carries 15 marks, whereas the rest of the topics are of 85 marks. These sections are:
Take a look at the topics and sub-topics that make up the complete syllabus:
| Topics | Sub-Topics |
| Electric Circuits: 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 |
| Electromagnetic Fields | 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 |
| Signals and Systems | 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 |
| Electrical Machines | 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 |
| Power Systems | 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 overcurrent, differential, directional and distance protection; Circuit breakers, System stability concepts, Equal area criterion |
| Control Systems | Mathematical modeling 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 |
| Electrical and Electronic Measurements | Bridges and Potentiometers, Measurement of voltage, current, power, energy and power factor; Instrument transformers, Digital voltmeters and multimeters, Phase, Time and Frequency measurement; Oscilloscopes, Error analysis |
| Analog and Digital Electronics | 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, Butterwoth, VCOs and timers, combinatorial and sequential logic circuits, multiplexers, demultiplexers, Schmitt triggers, sample and hold circuits, A/D and D/A converters |
| Power Electronics | 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 |
Candidates should also have full knowledge of the GATE Syllabus 2024 for Geomatics Engineering (GE). GATE Geomatics Engineering (GE) paper was introduced by the exam conducting body in the year 2022. However, GATE Syllabus for Geomatics Engineering is divided into two parts: Part A and Part B (Section 1 and Section 2). General Aptitude and Part A are common sections. Candidates have to choose one of the sections in Part B of the GATE Geomatics Engineering (GE) syllabus.
GATE Syllabus 2024 for Geomatics Engineering (GE): Part A:
| Sections | Topics |
| Engineering Mathematics | Surveying measurements, Accuracy, Precision, Most probable value, Errors and their adjustments, Regression analysis, Correlation coefficient, Lease square adjustment, Statistical significant value, Chi-square test. Anything on probability? |
| Remote Sensing | Basic concept, Electromagnetic spectrum, Spectral signature, Resolutions Spectral. Spatial, Temporal and Radiometric, Platforms and Sensors, Remote Sensing Data Products – PAN, Multispectral, Microwave, Thermal, Hyperspectral, Visual and digital interpretation methods |
| GNSS | Principle used, Components of GNSS, Data collection methods, DGPS, Errors in observations and corrections. |
| GIS | Introduction, Data Sources, Data Models and Data Structures, Algorithms, DBMS, Creation of Databases (spatial and non-spatial), Spatial analysis – Interpolation, Buffer, Overlay, Terrain Modeling and Network analysis. |
GATE Syllabus 2024 for Geomatics Engineering (GE): Part B (Section I):
| Sections | Topics |
| Maps | Importance of maps to engineering projects, Types of maps, Scales and uses, Plotting accuracy, Map sheet numbering, Coordinate systems- Cartesian and geographical, map projections, map datum – MSL, Geoid, spheroid, WGS-84. |
| Land Surveying | Various Levels, Levelling methods, Compass, Theodolite and Total Station and their uses, Tachometer, Trigonometric levelling, Traversing, Triangulation and Trilateration. |
| Aerial Photogrammetry | Types of photographs, Flying height and scale, Relief (height) displacement, Stereoscopy, 3-D Model, Height determination using Parallax Bar, Digital Elevation Model (DEM), Slope. |
GATE Syllabus 2024 for Geomatics Engineering (GE): Part B (Section II):
| Sections | Topics |
| Data Quantization and Processing | Sampling and quantization theory, Principle of Linear System, Convolution, Continuous and Discrete Fourier Transform. |
| Digital Image Processing | Digital image characteristics: image histogram and scattergram and significance; Variance-Covariance matrix, Correlation matrix and their significance. |
| Radiometric and Geometric Corrections | Registration and Resampling techniques. |
| Image Enhancement | Contrast Enhancement: Linear and Non-linear methods; Spatial Enhancement: Noise and Spatial filters |
| Image Transformation | Principal Component Analysis (PCA), Discriminant Analysis, Color transformations (RGB – IHS, CMYK), Indices (Ratios, NDVI, NDWI). |
| Image Segmentation and Classification | Simple techniques. |
Candidates must also be well aware of the GATE Syllabus 2024 for Naval Architecture and Marine Engineering (NM). GATE Syllabus 2024 for Naval Architecture and Marine Engineering (NM)Naval Architecture & Marine Engineering (NM) is another newly introduced subject in GATE 2022. GATE Syllabus for Naval Architecture and Marine Engineering (NM) is divided into six sections with further topics and sub-topics under each section of the syllabus:
| Topic | Sub-Topics |
| Applied Machines and Structures | Engineering Mechanics; Mechanics of Materials; Vibrations; Machine Design |
| Naval Architecture and Ocean Engineering | Ship geometry and physical fundamentals; Stability and trim of Ships; Resistance and Propulsion; Ship Manoeuvring and Motions; Ocean waves; Ship Structures and Strength; Physical Oceanography |
| Thermodynamics and Marine Engineering | Thermodynamics; Marine Diesel Engines; Marine Steam Turbines; Marine Boilers; Engine Dynamics; Marine Auxiliary Machinery & Systems |
It is very important to understand the updated exam pattern along with GATE Syllabus 2024 before starting the preparation process for GATE 2024 exam. The GATE exam duration is 3 hours or 180 minutes and there are a total of 27 papers in the GATE exam. The exam tests candidates’’ knowledge and skills with a total of 65 questions. In it, 10 questions are from General Aptitude and 55 questions are from Engineering Maths and Core Subjects. The types of questions asked include MCQs, MSQs, and NATs. The total marks that the candidates can score in the GATE exam are 100. In addition, the number of sections in the exam can be two or three. It depends on the paper. The marking scheme includes 1-mark and 2-mark questions. The Negative marking applies only to MCQs, where ⅓ mark is deducted for wrong 1-mark answers, and ⅔ mark for wrong 2-mark answers. There is no negative marking for MSQs and NATs. Candidates should note that there are no new changes are expected in GATE 2024 Exam Pattern. And, GATE Exam Pattern for AR was updated last year. Candidates can check the major highlights of GATE 2024 Exam Pattern below:
| GATE 2024 Exam Pattern | |
| Feature | Details |
| Exam Duration | 3 hours (180 minutes) |
| Total Papers | 27 |
| Total Questions | 65 Questions (General Aptitude: 10 Questions; Engineering Maths + Core Subjects: 55 Questions) |
| Total Marks | 100 Marks |
| Type of Questions Asked | Multiple Choice Questions (MCQ); Multiple Select Questions (MSQ); Numerical Answer Type (NAT) |
| Number of Sections | Two or Three (varies for different papers) |
| Marking Scheme | 1 mark and 2 marks per question |
| Negative Marking | MCQs: ⅓ mark deducted for 1-mark questions and ⅔ mark deducted for 2-mark questions; No negative marking for MSQs and NATs |
No. No changes are expected in GATE Syllabus 2024. Candidates can check the detailed GATE Exam Syllabus in the article above.
GATE Question Paper 2024 has of three types of questions. These are- MCQs (Multiple Choice Questions), MSQs (Multiple Select Questions) and NATs (Numerical Answer Type).
Yes, there is a negative marking in MCQs in GATE 2024. If candidates answer a multiple-choice question (MCQ) incorrectly, you will lose some marks. For each wrong 1-mark MCQ, 1/3 of a mark will be deducted. For each wrong 2-mark MCQ, 2/3 of a mark will be subtracted. But candidates will lose no marks if they’ll get multiple-select questions (MSQs) or numerical answer type (NAT) questions wrong.
Yes. In MCQs, ⅓ mark will be deducted for 1-mark questions. ⅔ mark will be deducted for 2-mark questions. There will be no negative marking for MSQs and NATs.
The GATE 2024 exam will last for a total of 3 hours or 180 minutes.
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