The Graduate Aptitude Test for Engineering, also known as GATE, is a national exam that selects engineers for admission to M.Tech programs at IITs, NITs, and IIITs as well as for PSU recruitment. IISc Bengaluru has released the schedule and dates for the GATE 2024 exam. In order to provide admission to a variety of postgraduate and doctorate programs offered by IITs, etc., GATE 2024 will be held.

On August 5, 2023, the GATE 2024 exam announcement was released. The application for GATE 2024 is accessible till August 30, 2023. Until October 12, 2023, candidates may submit their completed application forms without incurring a late charge. Students may register and pay the application fee through October 20, 2023, if they pay the late fee.

The ability to amend your GATE 2024 application in terms of category, paper, and exam city is now available from November 19 to November 24, 2023, for an extra cost. The online mode enables the correcting option.

The applicants who successfully register for the exam can now access their GATE 2024 admit cards. Downloads will be available on January 4, 2024. The candidates must then go to the official website and use the candidate log-in to download their individual GATE admission cards.

On February 3, 4, and 10, as well as on February 11, 2024, the CBT exam for GATE 2024 will take place. The test is computer-based and lasts for three hours.

Candidates may get the complete details regarding the GATE exam 2024 in this article. 

GATE  2024 Exams Highlights

GATE  2024 Exam Dates

GATE  2024 Eligibility Criteria

IISc Bangalore will publish the GATE Eligibility Criteria 2024 along with the official notification. Candidates who are in their third year or above of a degree program, as well as those who have previously completed any government-approved degree program in Engineering, Technology, Architecture, Science, Commerce, or the Arts, are eligible to fill out the GATE Application Form. Moreover, those who hold an M.Pharma or BDS degree are also eligible to apply for the exam.

Read More : GATE 2024 Eligibility Criteria

GATE 2024 Eligibility Criteria: Age Limit, Nationality, and Number of Attempts

GATE Eligibility Criteria 2024: Academic Qualification

The GATE Eligibility Criteria 2024 are mentioned below based on the academic qualification.

 GATE Eligibility Criteria 2024 for International Candidates 

GATE  2024 Application Process

On August 5, 2023, the GATE 2024 exam announcement was released. The application for GATE 2024 is accessible till August 30, 2023. Until October 12, 2023, candidates may submit their completed application forms without incurring a late charge. Students may register and pay the application fee through October 20, 2023, if they pay the late fee.

Steps to apply in GATE 2024-

GATE Registration: Sign up as a "New User" and follow the instructions in the guide. With the login credentials you provided, you will be able to access GOAPS upon a successful registration.

Fill  GATE Application  form 2024. Enter your GOAPS Enrollment ID and password to log on, then begin filling out the application, which asks for information about your personal history, educational background, and other things.

Upload Required Documents: In accordance with the guidelines, upload the image, signature, eligibility certificate, SC/ST certificate, and PwD certificate.

GATE Application Fee Payment: You may use a credit card, debit card, or net banking to make your payment.

Read More : GATE 2024 Application Form

GATE  2024 Admit card

The GATE Hall Ticket 2024 is now available online via the website, according to the organization. By logging into GOAPS, candidates can download their admission card.

Students will not receive their GATE 2024 Hall Ticket via mail or any other offline method. On January 4, 2024, candidates will have access to their admit cards. Entering the login credentials will allow you to download the hall tickets.

Details about applicants and exam centers, including name, roll number, category, father's name, gender, exam day and time, exam center location, etc., are included on the admit card. Before obtaining a printout copy of their admission card, candidates are required to verify their card. Only clearly visible photographs of the candidate's signature and photo will be accepted on the GATE Admit Card 2024.

GATE  2024 Syllabus

The GATE 2024 Syllabus for the new paper on artificial intelligence and data science has been added. We have included comprehensive information regarding the GATE 2024 syllabus, including a list of all the chapters and paper subjects, below. It is required of candidates to read the GATE syllabus and achieve excellent scores in the examination. 

General Aptitude (GA): Common For All Papers (Compulsory)

The General Aptitude Test syllabus will be common & compulsory for all papers. The topics will be as given here:

• Verbal Ability: English grammar, sentence completion, verbal analogies, word groups, instructions, critical reasoning and verbal deduction.
• Numerical Ability: Numerical computation, numerical estimation, numerical reasoning and data interpretation.

Syllabus of Aerospace Engineering (AE):

The AE topics will be divided into two categories: core topics & special topics. 90% questions will be asked from the core topics & 10% remaining questions will come from special topics.

Section 1: (Engineering Mathematics):

Core Topics: Linear Algebra, Calculus and Differential Equations.

Special Topics: Fourier series, Laplace Transforms, Numerical methods for linear and nonlinear algebraic equations, Numerical integration and differentiation. Complex Analysis, Probability & Analysis. 

Section 2: (Flight Mechanics):

Core Topics: Basics, Airplane performance & Static stability.

Special Topics: Dynamic stability: Euler angles, Equations of motion, decoupling of longitudinal and lateral-directional dynamics, longitudinal modes, lateral-directional modes. 

Section 3: (Space Dynamics):

Core Topics: Central force motion, determination of trajectory and orbital period in simple cases. Kepler’s Laws- escape velocity.

Special Topics: No special topics 

Section 4: (Aerodynamics):

Core Topics: Basic Fluid Mechanics, Airfoils and wings & Compressible Flows.

Special Topics: Wind Tunnel Testing: Measurement and visualization techniques, shock- boundary layer interaction. 

Section 5: (Structures):

Core Topics: Strength of Materials, Flight vehicle structures & Structural Dynamics.

Special Topics: Vibration of beams, Theory of elasticity: Equilibrium and compatibility equations, Airy’s stress function.

Section 6: (Propulsion):

Core Topics: Basics, Aerothermodynamics of aircraft engines, Rockets, Turbomahinery

Special Topics: Aerothermodynamics of non-rotating propulsion components such as intake, combustor & nozzle, Turbine blade cooling, compression turbine matching, Surge & stall.

Syllabus for Statistics (ST)

Calculus: Finite, countable and uncountable sets; Real number system as a complete ordered field, Archimedean property; Sequences of real numbers, convergence of sequences, bounded sequences, monotonic sequences, Cauchy criterion for convergence; Series of real numbers, convergence, tests of convergence, alternating series, absolute and conditional convergence; Power series and radius of convergence; Functions of a real variable: Limit, continuity, monotone functions, uniform continuity, differentiability, Rolle’s theorem, mean value theorems, Taylor’s theorem, L’ Hospital rules, maxima and minima, Riemann integration and its properties, improper integrals; Functions of several real variables: Limit, continuity, partial derivatives, directional derivatives, gradient, Taylor’s theorem, total derivative, maxima and minima, saddle point, method of Lagrange multipliers, double and triple integrals and their applications.

Matrix Theory: Subspaces of Rn and Cn , span, linear independence, basis and dimension, row space and column space of a matrix, rank and nullity, row reduced echelon form, trace and determinant, inverse of a matrix, systems of linear equations; Inner products in Rn and Cn Gram-Schmidt orthonormalization; Eigenvalues and eigenvectors, characteristic polynomial, Cayley-Hamilton theorem, symmetric, skew-symmetric, Hermitian, skew-Hermitian, orthogonal, unitary matrices and their eigenvalues, change of basis matrix, equivalence and similarity, diagonalizability, positive definite and positive semi-definite matrices and their properties, quadratic forms, singular value decomposition.

Probability: Axiomatic definition of probability, properties of probability function, conditional probability, Bayes’ theorem, independence of events; Random variables and their distributions, distribution function, probability mass function, probability density function and their properties, expectation, moments and moment generating function, quantiles, distribution of functions of a random variable, Chebyshev, Markov and Jensen inequalities.

• Standard discrete and continuous univariate distributions: Bernoulli, binomial, geometric, negative binomial, hypergeometric, discrete uniform, Poisson, continuous uniform, exponential, gamma, beta, Weibull, normal.
• Jointly distributed random variables and their distribution functions, probability mass function, probability density function and their properties, marginal and conditional distributions, conditional expectation and moments, product moments, simple correlation coefficient, joint moment generating function, independence of random variables, functions of random vector and their distributions, distributions of order statistics, joint and marginal distributions of order statistics; multinomial distribution, bivariate normal distribution, sampling distributions: central, chi-square, central t, and central F distributions. 

Convergence in distribution, convergence in probability, convergence almost surely, convergence in r-th mean and their inter-relations, Slutsky’s lemma, Borel-Cantelli lemma; weak and strong laws of large numbers; central limit theorem for i.i.d. random variables, delta method. 

• Stochastic Processes: Markov chains with finite and countable state space, classification of states, limiting behavior of n-step transition probabilities, stationary distribution, Poisson process, birth-and-death process, pure-birth process, pure-death process, Brownian motion and its basic properties.
• Estimation: Sufficiency, minimal sufficiency, factorization theorem, completeness, completeness of exponential families, ancillary statistic, Basu’s theorem and its applications, unbiased estimation, uniformly minimum variance unbiased estimation, Rao-Blackwell theorem, Lehmann-Scheffe theorem, Cramer-Rao inequality, consistent estimators, method of moments estimators, method of maximum likelihood estimators and their properties; Interval estimation: pivotal quantities and confidence intervals based on them, coverage probability.
• Non-parametric Statistics: Empirical distribution function and its properties, goodness of fit tests, chi-square test, Kolmogorov-Smirnov test, sign test, Wilcoxon signed rank test, Mann-Whitney U-test, rank correlation coefficients of Spearman and Kendall.
• Testing of Hypotheses: Neyman-Pearson lemma, most powerful tests, monotone likelihood ratio (MLR) property, uniformly most powerful tests, uniformly most powerful tests for families having MLR property, uniformly most powerful unbiased tests, uniformly most powerful unbiased tests for exponential families, likelihood ratio tests, large sample tests.
• Regression Analysis: Simple and multiple linear regression, R2 and adjusted R2 and their applications, distributions of quadratic forms of random vectors: Fisher-Cochran theorem, Gauss-Markov theorem, tests for regression coefficients, confidence intervals.
• Multivariate Analysis: Multivariate normal distribution: properties, conditional and marginal distributions, maximum likelihood estimation of mean vector and dispersion matrix, Hotelling’s T2 test, Wishart distribution and its basic properties, multiple and partial correlation coefficients and their basic properties. 

Syllabus of Agricultural Engineering (AG)

Section 1: (Engineering Mathematics):Linear Algebra, Calculus, Vector Calculus, Differential Equations, Probability and Statistics & Numerical Methods.

Section 2: (Farm Machinery) Machine Design and Farm Machinery.

Section 3: (Farm Power): Sources  of  Power, Farm Power, Tractors and Powertillers.

Section 4: (Soil and Water Conservation Engineering): Fluid Mechanics, Soil Mechanics, Hydrology, Surveying and Leveling, Soil and Water Erosion & Watershed Management.

Section 5: (Irrigation and Drainage Engineering): Soil-Water-Plant Relationship, Irrigation Water Conveyance and Application Methods, Agricultural Drainage, Groundwater Hydrology & Wells and Pumps.

Section 6: (Agricultural Processing Engineering): Drying & Evaporation, Size Reduction and Material Handling, Processing of Agriculture Produce & Storage Systems.

Section 7: (Dairy and Food Engineering): Heat and Mass Transfer & Preservation of Food.

Syllabus of Architecture and Planning (AR)

Common (Part A) – Architecture, Planning and Design, Construction and Management, Environmental Planning and Design, Urban Design, landscape & conversion, Planning Process, Housing, Services and Infrastructure.

Architecture (Part B1) – History & Contemporary Architecture, Building Constructions & structural sytems, Building service & Sustainability.

Planning (Part B2) – Regional & settlement Planning, Infrastructure Planning, Planning Techniques & Management. 

Syllabus of Bio-medical Engineering (BM)

Engineering Mathematics, Signals and Systems, Electrical Circuits, Measurements and Control Systems, Analog and Digital Electronics, Sensors and Bioinstrumentation, Measurements and Control Systems, Biomechanics, Human Anatomy and Physiology, Biomaterials, Medical Imaging Systems.

Syllabus of Biotechnology (BT)

Engineering Mathematics, General Biotechnology (Biochemistry, Microbiology, Immunology ), Recombinant DNA Technology & other tools in Biotechnology, Plant and Animal Biotechnology, Bioprocess Engineering and Process Biotechnology, Fundamentals of Biological Engineering, Genetics, Cellular, Molecular Biology.

Syllabus of Chemical Engineering (CH)

Engineering Mathematics, (Linear Algebra, Calculus, Differential equations, Complex variables, Probability and Statistics, Numerical Methods), Process Calculations and Thermodynamics, Fluid Mechanics and Mechanical Operations, Heat Transfer, Mass Transfer, Chemical Reaction Engineering, Instrumentation and Process Control, Plant Design and Economics & Chemical Technology.

Syllabus of Chemistry (CY)

Section 1: (Physical Chemistry): Structure, Equilibrium, Kinetics & Surfaces and Interfaces.

Section 2: (Inorganic Chemistry): Main Group Elements, Transition Elements, Lanthanides and Actinides, Organometallics, Radioactivity, Bioinorganic Chemistry, Solids & Instrumental Methods of Analysis.

Section 3: (Organic Chemistry): Stereochemistry, Reaction Mechanisms, Organic Synthesis, Pericyclic Reactions and Photochemistry, Heterocyclic Compounds, Biomolecules & Spectroscopy. 

Syllabus of Civil Engineering (CE)

Section 1: (Engineering Mathematics): Linear Algebra, Calculus, Ordinary Differential Equation (ODE), Partial Differential Equation (PDE), Probability and Statistics & Numerical Methods.

Section 2: (Structural Engineering): Engineering Mechanics, Solid Mechanics, Structural Analysis, Construction Materials and Management, Concrete Structures & Steel Structures.

Section 3: (Geotechnical Engineering): Soil Mechanics & Foundation Engineering.

Section 4: (Water Resources Engineering): Fluid Mechanics, Hydraulics, Hydrology & Irrigation.

Section 5: (Environmental Engineering): Water and Waste Water Quality & Treatment, Air Pollution, Municipal Solid Wastes & Noise Pollution.

Section 6: (Transportation Engineering): Transportation Infrastructure, Highway Pavements & Traffic Engineering.

Section 7: (Geomatics Engineering): Principles of surveying, Photogrammetry & Remote sensing.

Syllabus of Computer Science and Information Technology (CS)

GATE computer science (CSE) syllabus is mentioned below in details. The syllabus covers all important topics of the BE/B.tech curriculum.

Engineering Mathematics (Discrete Mathematics, Linear Algebra, Calculus, Probability & Statistics), Digital Logic, Computer Organization and Architecture, Programming and Data Structures, Algorithms, Theory of Computation, Compiler Design, Operating System, Databases & Computer Networks.

Syllabus of Data Science & Artificial Intelligence (DA)

The topics from which the questions will be asked in the exam are – Probability and Statistics, Linear Algebra, Calculus and Optimization, Programming, Data Structures and Algorithms, Database Management and Warehousing, Machine Learning, AI. 

Syllabus of Ecology and Evolution (EY)

Ecology, Evolution, Mathematics and Quantitative Ecology & Behavioural Ecology, Apply ecology & evolution.

Syllabus of Electrical Engineering (EE)

Engineering Mathematics (Linear Algebra, Calculus, Differential equations, Complex variables, Probability and Statistics, Numerical Methods, Transform Theory), Electric Circuits, Electromagnetic Fields, Signals and Systems, Electrical Machines, Power Systems, Control Systems, Electrical and Electronic Measurements, Analog and Digital Electronics & Power Electronics.

Syllabus of Electronics and Communications (EC)

Engineering Mathematics, Networks, Signals and Systems, Electronic Devices, Analog Circuits, Digital Circuits, Control Systems, Communications & Electromagnetics.

Syllabus of Geology and Geophysics (GG)

Common Section:

Earth and Planetary system, Weathering and soil formation, Introduction to remote sensing, Principles and applications of gravity.

Geology:

Geomorphic processes and agents, Mechanism of rock deformation, Crystallography, Cosmic abundance of elements, Igneous rocks, Physico-chemical conditions of metamorphism, Morphology, Principles of Stratigraphy, Engineering properties of rocks and soils.

Geophysics:

The earth as a planet, different motions of the earth, Scalar and vector potential fields, Absolute and relative gravity measurements, Elements of Earth’s magnetic field, Conduction of electricity through rocks, Basic concept of EM induction in the earth, Geophysical signal processing.

Syllabus of Instrumentation Engineering (IN)

Engineering Mathematics (Linear Algebra, Calculus, Differential equations, Analysis of complex variables, Probability and Statistics, Numerical Methods), Electrical Circuits, Signals and Systems, Control Systems, Analog Electronics, Digital Electronics, Measurements, Sensors and Industrial Instrumentation, Communication and Optical Instrumentation. 

Syllabus of Mathematics (MA)

Linear Algebra, Complex Analysis, Real Analysis, Calculus, Ordinary Differential Equations, Algebra, Functional Analysis, Numerical Analysis, Partial Differential Equations, Topology, Probability and Statistics & Linear programming. 

Syllabus of Mechanical Engineering (ME)

Section 1 (Engineering Mathematics): Linear Algebra, Calculus, Differential equations, Complex variables, Probability and Statistics & Numerical Methods.

Section 2 (Applied Mechanics and Design): Engineering Mechanics, Mechanics of Materials, Theory of Machines, Vibrations & Machine Design. 

Section 3 (Fluid Mechanics and Thermal Sciences): Fluid Mechanics, Heat-Transfer, Thermodynamics & Applications. 

Section 4 (Materials, Manufacturing and Industrial Engineering): Engineering Materials, Casting, Forming and Joining Processes, Machining and Machine Tool Operations, Metrology and Inspection, Computer Integrated Manufacturing, Production Planning and Control, Inventory Control & Operations Research.

Syllabus of Metallurgical Engineering (MT)

Engineering Mathematics (Linear Algebra, Calculus, Vector Calculus, Differential equations, Probability and Statistics, Numerical Methods), Thermodynamics and Rate Processes, Extractive Metallurgy, Physical Metallurgy, Mechanical Metallurgy & Manufacturing Processes.

Syllabus of Mining Engineering (MN)

Section 1: (Engineering Mathematics): Linear Algebra, Calculus, Vector Calculus, Differential equations, Probability and Statistics & Numerical Methods.

Section 2: (Mine Development and Surveying): Mine Development & Mine Surveying.

Section 3: (Geomechanics and Ground Control): Engineering Mechanics, Geomechanics & Ground Control.

Section 4: (Mining Methods and Machinery): Mining Methods and Mining Machinery.

Section 5: (Surface Environment, Mine Ventilation, and Underground Hazards): Surface Environment, Mine Ventilation and Subsurface Hazards.

Section 6: (Mine Economics, Mine Planning, Systems Engineering): Mine Economics, Mine Planning and Systems Engineering.

Syllabus of Petroleum Engineering (PE)

Linear Algebra, Calculus, Differential equations, Complex variables, Probability and Statistics, Numerical Methods, Petroleum Exploration, Oil and Gas Well Drilling Technology, Reservoir Engineering, Petroleum Production Operations, Offshore Drilling and Production Practices, Petroleum Formation Evaluation, Oil and Gas Well Testing, Health Safety and Environment in Petroleum Industry, Enhanced Oil Recovery Techniques, Latest trends in Petroleum Engineering.

Syllabus of Physics (PH)- Mathematical Physics, Classical Mechanics, Electromagnetic Theory, Quantum Mechanics, Thermodynamics and Statistical Physics, Atomic and Molecular Physics, Solid State Physics & Electronics, Nuclear and Particle Physics

Syllabus of Production & Industrial Engineering (PI)

Section 1: (Engineering Mathematics): Linear Algebra, Calculus, Differential equations, Complex variables, Probability and Statistics & Numerical Methods.

Section 2: (General Engineering): Engineering Materials, Applied Mechanics, Theory of Machines and Design, Thermal and Fluids Engineering.

Section 3: (Manufacturing Processes I): Casting, Metal Forming, Joining of materials, Powder processing, Polymers and Composites.

Section 4: (Manufacturing Processes II): Machine Tools and Machining, Non-traditional Manufacturing & Computer Integrated Manufacturing.

Section 5: (Quality and Reliability): Metrology and Inspection, Quality management, Reliability and Maintenance.

Section 6: (Industrial Engineering): Product Design and Development, Work System Design & Facility Design.

Section 7: (Operations research and Operations Management): Operation Research, Engineering Economy and Costing, Production control & Project management.

Syllabus of Textile Engineering and Fibre Science (TF)

Engineering Mathematics (Linear Algebra, Calculus, Vector Calculus, Differential Equations, Probability and Statistics, Numerical Methods), Textile Fibers, Yarn manufacture, Yarn structure and Properties, Fabric manufacture, Structure and Properties, Textile Testing & Chemical processing.

Syllabus of Engineering Science (XE)

Engineering Mathematics (XE-A):

This section is Compulsory For all XE candidates.

Linear Algebra, Calculus, Vector Calculus, Complex variables, Ordinary Differential Equations, Partial Differential Equations, Probability and Statistics & Numerical Methods.

Fluid Mechanics (XE-B):

Flow and Fluid Properties, Kinematics, Integral analysis, Differential Analysis, Inviscid flows, Dimensional analysis, Internal flows, Prandtl boundary layer equations.

Materials Science (XE-C):

Processing of Materials, Characterization Techniques, Structure and Imperfections, Thermodynamics and Kinetics, Properties of Materials (Mechanical Properties, Electronic Properties, Magnetic Properties, Thermal Properties, Optical Properties), Material types, Environmental Degradation, Elements of Quantum Mechanics and Mathematics.

Solid Mechanics (XE-D):

Equivalent force systems, Stresses and strains, Axial, shear and bending moment diagrams, Free vibration of single degree of freedom systems.

Thermodynamics (XE-E):

Basic Concepts, First Law of Thermodynamics, Second Law of Thermodynamics, Properties of Pure Substances, Thermodynamic Relations, Thermodynamic Cycles, Ideal Gas Mixtures.

Polymer Science and Engineering (XE-F):

Chemistry of high polymers, Polymer Characterization, Synthesis and properties, Polymer blends and composites, Polymer Technology, Polymer rheology, Polymer processing, Polymer testing.

Food Technology (XE-G):

Food Chemistry and Nutrition, Food Microbiology, Food Products Technology & Food Engineering.

Atmospheric & Ocean Science (XE-H):

Atmospheric Science and Ocean Sciences.

Environmental Science & Engineering (ES)

Mathematics Foundation, Environmental Chemistry, Environmental Microbiology, Water Resources and Environmental Hydraulics, Water & Wastewater Treatment and Management, Air and Noise Pollution, Solid and Hazardous Waste Management, Global and Regional Environmental Issues Environmental Management and Sustainable Development.

Humanities & Social science (XH)

Reasoning & Comprehension (XH B1):

Reading comprehension, expression, analytical reasoning, logical reasoning.

Economics (XH C1)

Microeconomics, Macroeconomics, Statistics, Econometrics and Mathematical Economics, International Economics, Public Economics, Development Economics, Indian Economy,.

English (XH C2)

Multi-genre literatures in English—poetry, the novel and other forms of fiction including the short story, drama, creative non-fiction, and non-fiction prose—with emphasis on the long 19th and 20th centuries. Literary criticism and theory; critical and cultural intellectual-traditions and approaches widely referred to and used in the discipline of English. Especially in a comparative context, anglophone and in English translation, literatures from India and, extending to some degree, the larger Indian subcontinent. Research approaches and methodologies, including interpretive techniques responsive to literary forms, devices, concepts, and genres. History of English literature and English literary studies.

Linguistics (XH C3)

Language and Linguistics, Levels of Grammar and Grammatical Analysis, Historical Linguistics, Sociolinguistics, Areal Typology, Universals, Cross-linguistic Features, Methods of analysis, Applied Linguistics.

Philosophy (XH C4)

Classical Indian Philosophy, Contemporary Indian Philosophy, Classical and Modern Western Philosophy, Contemporary Western Philosophy.

Psychology(XH C5)

Research Methods and Statistics, Psychometrics: Foundations of Psychological measurement; Basic components: scales and items, Biological and evolutionary basis of behaviour, Perception, Learning, Memory and Forgetting, Cognition: Thinking, Intelligence and Language, Personality: Theories of personality, Motivation, Emotion and Stress and Coping, Social psychology, Development across the life span, Applications of Psychology.

Sociology(XH C6)

Sociological Theory, Research Methodology and Methods, Sociological Concepts, Agrarian Sociology and Rural Transformation, Family, Marriage and Kinship, Social Movements, Sociology of Development.

Syllabus of Life Science (XL)

Chemistry (XL-P):

Atomic Structure and Periodicity, Structure and Bonding, s, p and d Block Elements, Chemical Equilibria, Electrochemistry, Reaction Kinetics, Thermodynamics, Structure-Reactivity Correlations and Organic Reaction Mechanisms.

Biochemistry (XL-Q):

Organization of life, Enzyme kinetics including its regulation and inhibition, Biochemical separation techniques, Cell structure and organelles, DNA replication & Immune system.

Botany (XL-R):

Plant Systematics, Plant Anatomy, Morphogenesis & Development, Physiology and Biochemistry, Genetics, Plant Breeding and Genetic Modification, Economic Botany, Plant Pathology, Ecology and Environment.

Microbiology (XL-S):

Historical Perspective, Methods in Microbiology, Microbial Taxonomy and Diversity, Prokaryotic and Eukaryotic Cells: Structure and Function, Microbial Growth, Control of Micro-organisms, Microbial Metabolism, Microbial Diseases and Host Pathogen Interaction, Chemotherapy/Antibiotics, Microbial Genetics & Microbial Ecology.

Zoology (XL-T):

Animal world, Evolution, Genetics, Biochemistry and Molecular Biology, Cell Biology, Gene expression in Eukaryotes, Animal Anatomy and Physiology, Parasitology and Immunology, Development Biology, Ecology & Animal Behaviour.

Food Technology (XL-U):

Food Chemistry and Nutrition, Food Microbiology, Food Products Technology & Food Engineering.

Read More : GATE 2024 Syllabus

GATE  2024 Exam Pattern

The GPAT  2024 Exam Pattern  is available to candidates below:

Duration: Students have three hours to complete the assignment.

Exam Mode: The GATE 2024 exam will be administered online.

Types of questions- There will be three different types of questions: multiple-choice, multiple-select, and numerical answer type (NAT).

Papers: There are now thirty subjects and papers total, with the addition of one new topic this year.

Section Types: The question paper will have two sections: General Aptitude (GA) and Subject (chosen by the contestant).

No of Questions: There are 65 total questions, comprising 10 GA and 55 Subject questions.

Marking Scheme: 1 and 2 marks will be awarded for certain questions.

Negative marking: MCQs deduct 1/3 of a mark for each of the 1 and 2 marks, respectively. Negative marking will not be applied to MSQ and NAT-type questions.

Read More : GATE 2024 Exam Pattern

GATE  2024 Result

The authorities will release the GATE Result as soon as the final answer key is available. It is going to be accessible online. The results can only be downloaded by candidates using their login credentials. On March 16, 2024, the results will be announced. Candidates can find out their likely exam rank and score by using the GATE Rank/Score Predictor tool.

Every detail in the outcome must be true and valid; if there is any mistake, the candidate must notify the appropriate authority. Finally, print off your results for your records.

Read More : GATE 2024 Results

GATE  2024 Exam FAQs

Ques.1 Is GATE 2024 general aptitude syllabus common for all papers?

Ans.  Yes. GATE 2024 General Aptitude Syllabus is common for all 29 GATE papers.

Ques.2 What are the types for questions asked in GATE 2024?

Ans. GATE Question Paper 2024 consists of three types of questions- MCQs (Multiple Choice Questions), MSQs (Multiple Select Questions) and NATs (Numerical Answer Type).

Ques.3 Will SC category candidates required caste certificate during application process?

Ans. Yes, reserved category candidates are also required to submit caste certificate.

Ques.4 What will  be attempt limit for GATE exam?

Ans. Students are allowed to appear for GATE exam any no. of times.

Ques.5  Do candidates required to fill two forms for appear in two papers?

Ans. No, applicants will only be allowed to choose two papers in the specified combination on a single form.