Complete Guide to GATE 2025 Syllabus for CSE with Subject-wise Weightage – Quick Guide

What is GATE  ?

GATE stands for Graduate Aptitude Test in Engineering which is a National-level exam mainly for M.Tech/MS/PhD admissions & also for PSU jobs. It is conducted by IISc Bangalore & seven IITs rotationally.

Why is GATE 2025 Important?

• It helps to get admission in top institutes like IITs, IISc, NITs
• Aids with PSU recruitment: IOCL, ONGC, NTPC, HPCL, etc.
• It is accepted by a lot of international universities as well.
• It builds a strong subject foundation for R&D, teaching, and research fields.

GATE 2025 Syllabus

The GATE 2025 syllabus gives a detailed outline of subjects and important topics for all engineering and science branches like  Computer Science (CSE), Civil, Electrical, Mechanical, and others. Candidates planning to apply for the upcoming GATE exam can enhance their knowledge and skills by going through the entire syllabus shared for each discipline. The GATE syllabus PDF 2025 highlights all important chapters that aids candidates build a strong foundation and prepare eventually for the Graduate Aptitude Test in Engineering. Learning each topic listed in the syllabus helps to make a well-planned preparation approach. For additional clarity on how marks are distributed, candidates must also review the GATE 2025 exam pattern, that explains the structure and weightage of different sections.

GATE 2025 Syllabus Highlights

Here’s a quick overview of the GATE exam details that every aspirant must know:

Particulars	Details
Exam Name	Graduate Aptitude Test in Engineering (GATE)
Conducting Authority	IISc Bangalore / IITs (on a rotational basis)
Exam Level	National-level
Exam Mode	Computer-Based Test (CBT)
Duration	3 Hours
Number of Papers	30+ disciplines (Engineering, Technology, Science, Humanities)
Type of Questions	MCQs, MSQs, Numerical Answer Type (NAT)
Medium of Exam	English
Frequency	Once a year (usually in February)
Official Website	https://gate.iitkgp.ac.in (or the IIT conducting that year)

Organizing Institutes for GATE 2025

• IISc Bangalore
• IITs: Bombay, Delhi, Guwahati, Kanpur, Kharagpur, Madras, Roorkee

GATE 2025 Paper Codes

When filling the form for GATE exam 2025, always be careful to use the correct subject paper code. You can choose max 2 GATE subjects from 30+ options (as per allowed combinations). It is recommended to select GATE subjects related to your degree for better clarity of your goal. Always check institute-specific eligibility criteria before applying. List of paper codes is given below:

PAPER	CODE
Aerospace Engineering	AE
Agricultural Engineering	AG
Architecture and Planning	AR
Biotechnology	BT
Bio - medical Engineering	BM
Civil Engineering	CE
Chemical Engineering	CH
Computer Science & Information Technology	CS
Chemistry	CY
Electronics and Communication Engineering	EC
Electrical Engineering	EE
Engineering Sciences	XE
Petroleum Engineering	PE
Geomatics Engineering	GE
Geology and Geophysics	GG
Instrumentation Engineering	IN
Life Sciences	XL
Mathematics	MA
Mechanical Engineering	ME
Mining Engineering	MN
Metallurgical Engineering	MT
Naval Architecture & Marine Engineering	NM
Physics	PH
Production and Industrial Engineering	PI
Textile Engineering & Fibre Science	TF
Ecology and Evolution	EY
Statistics	ST
Environmental Science and Engineering	ES
Humanities and Social Sciences	XH
Data Science & Artificial Intelligence	DA

Eligibility Criteria for GATE 2025

• Any final year student or the student who has completed UG/PG in Engineering, Science, Architecture, Humanities are eligible to attain GATE exam 2025.
• There is no age limit for the GATE Exam.
• Candidates can have unlimited attempts.
• Candidates with foreign nationals (Nepal, Bangladesh, Sri Lanka, Ethiopia, UAE, etc.) are also eligible.

GATE 2025 Pattern

• Duration: 3 hrs
• Questions: 65 | Marks: 100
• Marking: +1/+2 for correct | -1/3 & -2/3 for MCQ only

Section-Wise gate exam subject wise weightage:

Section	Marks Distribution
Subject-Specific Questions	72%
General Aptitude (common for all papers)	15%
Engineering Mathematics (for some papers)	13%

Key Points:

• Physical calculators are strictly not allowed, although virtual calculators will be provided.
• Questions are a combination of 1-mark and 2-mark problems.
• XE, XH, and XL papers have different structures with multiple sections to select from.

Let's look at the GATE 2025 exam pattern. We'll break down the marks, question types, and paper layout for better understanding:

Particulars	Details
Examination Mode	The language of test papers will be English. Computer Based Test (CBT) will be conducted at select centers in selected cities.
Duration	3 Hours*
Number of paper (GATE Subjects)	30
Sections	Candidate's Selected GATE Subjects + General Aptitude (GA)
Type of Questions	Multiple Choice Questions (MCQ) Multiple Select Questions (MSQ) and/or Numerical Answer Type (NAT) Questions
Questions for checking student abilities like	Recall Comprehension Application Analysis & Synthesis
Distribution of Marks in all test Papers EXCEPT papers of AR, CY, DA, EY, GG, MA, PH, ST, XH and XL	General Aptitude: 15 marks Engineering Mathematics: 13 marks Subject Questions: 72 marks Total: 100 marks (**XE has Engineering Mathematics section XE-A of 15 marks)
Distribution of Marks in test papers of AR, CY, DA, EY, GG, MA, PH, ST, XH and XL	General Aptitude: 15 marks Subject Questions: 85 marks Total: 100 marks
Marking Scheme	1 mark or 2 marks Questions
Negative Marking	1/3 mark for a 1-mark MCQ and 2/3 mark for 2 mark MCQ will be deducted for each  wrong answer. There is no negative marking for MSQ or NAT questions. There is no partial marking in MSQ.

Paper Code	General Aptitude Marks	Mandatory Section	Marks for Subject	Total	Total Time* (in Minutes)
AE, AG, BM, BT, CE, CH, CS, EC, EE, ES, IN, ME, MN, MT, NM, PE, PI, TF; Subject marks in these test papers include questions on Engineering Mathematics (13 marks), that are subject-specific.	15	--	85	100	180
CY, DA, EY, MA, PH, ST	15	--	85	100	180
AR [Part A is Common and Compulsory for everyone; Part B1 or Part B2 can be chosen during Exam. B1: Architecture or B2: Planning]	15	60	25	100	180
GE [Part A is Common and Compulsory for everyone; Part B1 or B2 can be chosen during the Exam. B1 - Surveying and Mapping or B2 -Image Processing and Analysis.]	15	55	30	100	180
GG [Part A is Common and Compulsory for everyone; Part B can either be Geology (B1) or Geophysics (B2) that must be chosen while applying.	15	25	60	100	180
XE [Section A (Engineering Mathematics) is Common and Compulsory for everyone; Candidates must chose any TWO additional Sections during the Exam]	15	15	2 x 35	100	180
XH [Section B1 (Reasoning and Comprehension) is Common and Compulsory for all; Candidates must choose any ONE additional Section while applying for the exam.]	15	25	60	100	180
XL [Section P (Chemistry) is Common and Compulsory for everyone; candidates must choose any TWO additional Sections during the Exam.	15	25	2 x 30	100	180

PwD candidates with a benchmark disability above 40% are eligible for compensatory time of one hour. Those with a disability below 40% who have difficulty writing are eligible for compensatory time, subject to presenting the required certificate.

GATE Syllabus 2025

Go through the gate exam syllabus pdfs as early as possible after applying. Get familiar with gate exam subject wise weightage and coverage to plan your preparation smartly. For example, if you subject is CSE, make sure to know all the topics in gate syllabus for cse. A clear understanding of the gate 2025 syllabus helps in prioritizing subjects and scoring better. GATE 2025 is conducted across 30+ test papers. Candidates may appear in either ONE or UP TO TWO test papers. For details, see the Two-Paper Combination page.

GATE 2025 Syllabus for Mechanical Engineering

Section	Topics
Mechanical Engineering	Linear Algebra: Fundamentals of matrix algebra, solution of linear equation systems, properties of eigenvalues and eigenvectors. Calculus: Concepts of single-variable functions, limits, continuity and differentiability; applications of mean value theorems; handling indeterminate forms; evaluation of definite and improper integrals; computation using double and triple integrals; use of partial and total derivatives; expansion through Taylor series in one and two variables; determination of maxima and minima; Fourier series representation; vector calculus including gradient, divergence, curl, directional derivatives and vector identities; line, surface and volume integrals with applications of Gauss, Stokes and Green’s theorems. Differential Equations: Solutions of first-order linear and nonlinear equations; higher-order linear equations with constant coefficients; Euler–Cauchy type equations; formulation and solving of initial and boundary value problems; Laplace transform techniques; solutions to heat, wave and Laplace equations. Complex Variables: Properties of analytic functions; Cauchy–Riemann conditions; applications of Cauchy’s integral theorem and formula; series representation using Taylor and Laurent expansions. Probability and Statistics: Definition and laws of probability; conditional probability; sampling theorems; measures of central tendency (mean, median, mode) and dispersion (standard deviation); random variables and their distributions including binomial, Poisson and normal. Numerical Methods: Techniques for solving linear and nonlinear algebraic equations; numerical integration using trapezoidal and Simpson’s rules; approaches for solving differential equations with single-step and multi-step numerical methods.
Applied Mechanics and Design	Engineering Mechanics: Construction and analysis of free-body diagrams with equilibrium conditions; friction and its engineering applications including rolling friction, belt and pulley systems, brakes, clutches, screw jack, wedge and vehicles; analysis of trusses and frames; principle of virtual work; kinematics and dynamics of rigid bodies in plane motion; impulse and momentum relationships for linear and angular motion; energy formulations; application of Lagrange’s equations. Mechanics of Materials: Stress–strain relationships, elastic constants and Poisson’s ratio; graphical representation using Mohr’s circle for plane stress and strain; analysis of thin-walled cylinders; shear force and bending moment diagrams with associated stresses; concept and application of shear centre; deflection analysis of beams; torsional behaviour of circular shafts; Euler’s column theory for buckling; application of energy methods; evaluation of thermal stresses; use of strain gauges and strain rosettes; mechanical testing of materials using UTM, hardness tests and impact strength determination. Theory of Machines: Kinematic analysis including displacement, velocity and acceleration in plane mechanisms; dynamic analysis of linkages; study of cams, gears and gear trains; role of flywheels and governors in speed regulation; balancing methods for rotating and reciprocating masses; gyroscopic effects. Vibrations: Free and forced vibrations of single-degree-of-freedom systems with damping effects; vibration isolation techniques; resonance phenomena; determination of critical shaft speeds. Machine Design: Principles of design under static and dynamic loading; application of failure theories; fatigue analysis using S–N curves; design considerations for machine elements such as bolted, riveted and welded joints; shafts and gears; rolling and sliding contact bearings; braking and clutch systems; design of springs.
Fluid Mechanics and Thermal Sciences	Fluid Mechanics: Properties of fluids; fluid statics including forces on submerged bodies and 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 theory; basics of turbulent flow; flow through pipes including head losses in pipes, bends and fittings; fundamentals of compressible fluid flow. Heat Transfer: Modes of heat transfer; one-dimensional heat conduction, thermal resistance concept and electrical analogy; heat transfer through fins; unsteady heat conduction, lumped parameter systems and Heisler’s charts; thermal boundary layer; dimensionless parameters in free and forced convection; heat transfer correlations for flow over flat plates and through pipes; effects of turbulence; heat exchanger performance using LMTD and NTU methods; radiative heat transfer, Stefan–Boltzmann law, Wien’s displacement law; black and grey surfaces, view factors, and radiation network analysis. Thermodynamics: Concepts of thermodynamic systems and processes; properties of pure substances; behaviour of ideal and real gases; zeroth and first laws of thermodynamics with work and heat calculations in various processes; second law of thermodynamics; use of thermodynamic property charts and tables; availability and irreversibility; thermodynamic relations. Applications: Power Engineering – Air and gas compressors; vapour and gas power cycles including 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 charts and basic psychrometric processes Turbomachinery – Impulse and reaction principles; velocity diagrams; Pelton, Francis and Kaplan turbines; steam and gas turbines.
Materials, Manufacturing and Industrial Engineering	Engineering Materials: Structure, properties and classification of engineering materials; interpretation of phase diagrams; heat treatment processes; analysis of stress–strain behaviour of engineering materials. Casting, Forming and Joining Processes: Types of castings and design of patterns, moulds and cores; solidification and cooling mechanisms; riser and gating system design; plastic deformation and yield criteria; fundamentals of hot and cold working processes; load estimation for bulk forming (forging, rolling, extrusion, drawing) and sheet metal forming (shearing, deep drawing, bending); principles of powder metallurgy; basics of welding, brazing, soldering and adhesive bonding. Machining and Machine Tool Operations: Mechanics of machining; overview of basic machine tools; single and multi-point cutting tools with tool geometry and materials; tool life, wear and machining economics; principles of non-traditional machining processes; work holding, jigs and fixtures; abrasive machining processes; NC/CNC machine operation and CNC programming. Metrology and Inspection: Concepts of limits, fits and tolerances; linear and angular measurements; use of comparators and interferometry; form and surface finish measurement; alignment and testing methods; tolerance analysis in manufacturing and assembly; introduction to coordinate measuring machines (CMM). Computer Integrated Manufacturing: Fundamentals of CAD/CAM and integration tools; additive manufacturing techniques. Production Planning and Control: Forecasting models, aggregate production planning, scheduling techniques and materials requirement planning; lean manufacturing concepts. Inventory Control: Deterministic inventory models; safety stock management and control systems. Operations Research: Linear programming and simplex method; transportation, assignment and network flow models; basic queuing models; project planning and scheduling using PERT and CPM.

GATE 2025 Syllabus for Aptitude 

Section	Topics
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 (tables, graphs, charts).
Quantitative Aptitude	Ratio & proportion, percentage, profit & loss, simple & compound interest, time & work, speed–time–distance, permutations & combinations, probability.
Algebra	Linear equations, quadratic equations, logarithms, sequences & series.
Geometry & Mensuration	Lines, angles, triangles, circles, areas, volumes, coordinate geometry (basics).
Data Interpretation	Interpretation of data from bar graphs, pie charts, line graphs, and tabular forms.
Logical Reasoning	Puzzles, coding–decoding, series, direction sense, blood relations, syllogisms, seating arrangement, analytical reasoning.

Subject Specialization Priority

Focus on the topics that appear in the GATE 2025 syllabus pdf by assessing their gate exam subject wise weightage, your strengths, and how important they are to your chosen field. Prioritizing subjects strategically leads to smarter preparation and a higher score. We’ve outlined the gate syllabus 2025 for various GATE subjects like GATE syllabus for cse, GATE syllabus for civil engineering, etc in detail below. You can check them out:

Field	Subjects
Civil Engineering	Structural Engineering Earthquake Engineering Water Resources Engineering Rock Engineering & Underground Structure Geotechnical Engineering Construction Engineering & Management Transportation Engineering Environmental Engineering Computer Science (CSE) and Engineering & Information Technology
Computer Science (gate syllabus for cse)	Information Technology Computer Systems and Hardware Database and Information Systems Information Security Software Engineering Distributed Computing Image Processing Programming languages Computer Networks and Distributed Systems Artificial Intelligence Advanced Computing
Mechanical Engineering	Material Science & management Design of Mechanical Equipment or Machine Design Manufacturing Science & Engineering Thermal Engineering Production Engineering Industrial Engineering
Electrical Engineering	Machines & Drives Control & Automation Power Systems Digital Signal Processing Power Electronics Instrumentation Technology
Electronics & Telecommunication Engineering	VLSI Design Tool Technology Optoelectronics & Optical Communication Micro Electronics Microwave Engineering Communication Engg Integrated Electronics & Circuits Telecommunication Technology & Management Nanotechnology Control & Automation Digital Signal Processing

GATE Syllabus 2025 for Data Science & Artificial Intelligence

Sections	Topics
Probability and Statistics	Counting: Fundamental principles of permutations and combinations. Probability Theory: Probability axioms; definition of sample space and events; independent and mutually exclusive events; marginal, conditional and joint probability; Bayes’ theorem; conditional expectation and variance. Descriptive Statistics: Measures of central tendency including mean, median and mode; standard deviation; correlation and covariance. Random Variables: Discrete random variables and probability mass functions; common discrete distributions including uniform, Bernoulli and binomial. Continuous Random Variables: Probability distribution functions; uniform, exponential, Poisson, normal, standard normal, t-distribution, chi-squared distributions; cumulative distribution function; conditional PDF. Statistical Inference: Central limit theorem; construction of confidence intervals; hypothesis testing including z-test, t-test and chi-squared test.
Linear Algebra	Vector Spaces: Concepts of vector space and subspaces; linear dependence and independence of vectors. Matrices: Types including projection, orthogonal, idempotent and partition matrices with their properties; quadratic forms. Linear Systems: Solution of systems of linear equations using Gaussian elimination; concepts of determinant, rank, nullity and projections. Matrix Decompositions: Eigenvalues and eigenvectors; LU decomposition; singular value decomposition (SVD).
Calculus and Optimization	Calculus – Single Variable: Functions of a single variable; concepts of limit, continuity and differentiability; Taylor series expansions; determination of maxima and minima; optimization problems involving a single variable.
Programming, Data Structures and Algorithms	Programming and Data Structures: Programming in Python; basic data structures including stacks, queues, linked lists, trees and hash tables. Searching and Sorting: Linear search and binary search; basic sorting algorithms such as selection sort, bubble sort and insertion sort; divide and conquer techniques including mergesort and quicksort. Graph Theory: Introduction to graphs; basic graph algorithms including traversals and shortest path computations.
Database Management and Warehousing	Database and Data Modeling: Entity-Relationship (ER) model; relational model including relational algebra and tuple calculus; SQL queries and integrity constraints; normal forms and data normalization; file organization and indexing; data types and data transformation techniques such as discretization, sampling and compression. Data Warehousing: Modelling schemas for multidimensional data; concept hierarchies; measures including categorization and computation.
Supervised Learning	Supervised Learning: Regression and classification problems; simple linear regression, multiple linear regression, ridge regression; logistic regression; k-nearest neighbour; Naive Bayes classifier; linear discriminant analysis; support vector machines; decision trees; understanding bias-variance trade-off. Model Evaluation: Cross-validation methods including leave-one-out (LOO) and k-fold cross-validation. Neural Networks: Multi-layer perceptron; feed-forward neural network architectures and functioning
Unsupervised Learning	Unsupervised Learning: Clustering algorithms including k-means and k-medoid; hierarchical clustering techniques such as top-down and bottom-up approaches, single-linkage and multiple-linkage methods. Dimensionality Reduction: Principal Component Analysis (PCA) for feature reduction and data representation.
AI	Search Techniques: Informed, uninformed and adversarial search methods. Logic: Propositional and predicate logic concepts. Reasoning under Uncertainty: Conditional independence representation; exact inference using variable elimination; approximate inference through sampling methods.

GATE Syllabus for CSE 2025: 

Check out the table below for gate syllabus for cse:

Section	Topics Covered
Engineering Mathematics	Discrete Mathematics: Propositional and first order logic, sets, relations, functions, partial orders, lattices, groups, graphs (connectivity, matching, coloring), combinatorics (counting, recurrence relations, generating functions). Linear Algebra: Matrices, determinants, systems of linear equations, eigenvalues and eigenvectors. Calculus: Limits, continuity, differentiability, maxima, minima, mean value theorem. Probability & Statistics: Random variables, distributions (uniform, normal, exponential, Poisson), mean, median, mode, standard deviation, conditional probability, Bayes theorem.
Digital Logic	Boolean algebra, combinational and sequential circuits, minimization, number representations, computer arithmetic (fixed and floating point).
Computer Organization & Architecture	Machine instructions, addressing modes, ALU, datapath and control unit, instruction pipelining, cache and main memory, I/O interface, virtual memory.
Programming & Data Structures	C programming, functions, recursion, pointers, arrays, strings. Data structures: stacks, queues, linked lists, trees, BST, heaps, graphs. Algorithms: searching, sorting, hashing, traversals, shortest path, MST.
Algorithms	Analysis of algorithms, asymptotic notation, complexity. Techniques: divide and conquer, greedy, dynamic programming, backtracking. Graph algorithms: shortest paths, spanning trees, flows. NP-completeness.
Theory of Computation	Regular expressions, finite automata, context-free grammars, pushdown automata, Turing machines, undecidability.
Compiler Design	Lexical analysis, parsing, syntax-directed translation, runtime environments, intermediate code generation, optimization, code generation.
Operating Systems	Processes, threads, IPC, concurrency, synchronization. Deadlock, CPU scheduling, memory management, virtual memory, file systems.
Databases	ER-model, relational model (algebra, tuple calculus, SQL), integrity constraints, normal forms. File organization, indexing (B, B+ trees). Transactions, concurrency control, recovery.
Computer Networks	ISO/OSI & TCP/IP models, LAN (Ethernet, WiFi). Flow & error control, routing, congestion control, TCP/UDP, switching, DNS, DHCP. Application protocols: HTTP, FTP, SMTP, POP, IMAP.

GATE 2025 Schedule

Check the table below for all the important dates for GATE exam 2025:

Event	Date
Release of GATE 2025 poster / important dates announcement	23 July 2024 (GATE 2025)
Application deadline (without late fee)	3 October 2024 (GATE 2025)
Application deadline (with late fee)	11 October 2024
Admit card release	7 January 2025 (GATE 2025)
Exam dates	1, 2, 15 & 16 February 2025
Challenge of questions / answer key window	27 February - 1 March 2025 (GATE 2025)
Result announcement	19 March 2025 (GATE 2025)

Subjects Offered by GATE

GATE Subjects 2025

You can choose 1 or 2 GATE subjects (from allowed combinations). There are a total, 29+ papers. Check the table below:

GATE Subject Name	Code
Aerospace Engineering	AE
Agricultural Engineering	AG
Architecture & Planning	AR
Biomedical Engineering	BM
Biotechnology	BT
Civil Engineering	CE
Chemical Engineering	CH
Computer Science & Information Technology	CS
Mechanical Engineering	ME
Electrical Engineering	EE
Electronics & Communication Engineering	EC
Instrumentation Engineering	IN
Metallurgical Engineering	MT
Mining Engineering	MN
Production & Industrial Engineering	PI
Textile Engineering & Fibre Science	TF
Naval Architecture & Marine Engineering	NM
Petroleum Engineering	PE
Chemistry	CY
Physics	PH
Mathematics	MA
Statistics	ST
Data Science & Artificial Intelligence	DA
Environmental Science & Engineering	ES
Geomatics Engineering	GE
Geology & Geophysics	GG
Ecology & Evolution	EY
Engineering Sciences	XE
Life Sciences	XL
Humanities & Social Sciences	XH

Download GATE Syllabus 2025 Subject-Wise PDFs

Candidates can download the GATE 2025 Syllabus from these Subject-Wise PDFs shared in below table:- 

Serial number	GATE 2025 Paper Wise Syllabus
1.	GATE Syllabus for Aerospace Engineering
2	GATE Syllabus for Agricultural Engineering
3	GATE Syllabus for Instrumentation Engineering
4	GATE Syllabus for Mathematics
5	GATE Syllabus for Mechanical Engineering
6	GATE Syllabus for Mining Engineering
7	GATE Syllabus for Biomedical Engineering
8	GATE Syllabus for Biotechnology Engineering
9	GATE Syllabus for Metallurgical Engineering
10	GATE Syllabus for Civil Engineering
11	GATE Syllabus for Chemical Engineering
12	GATE Syllabus for Naval Architecture and Marine Engineering
13	GATE Syllabus for Architecture and Planning
14	GATE Syllabus for Petroleum Engineering
15	GATE Syllabus for Computer Science and Information Technology
16	GATE Syllabus for Chemistry
17	GATE Syllabus for Production and Industrial Engineering
18	GATE Syllabus for Electronics and Communication Engineering
19	GATE Syllabus for Statistics
20	GATE Syllabus for Electrical Engineering
21	GATE Syllabus for Textile Engineering and Fibre Science
22	GATE Syllabus for Environmental Science & Engineering
23	GATE Syllabus for Engineering Sciences
24	GATE Syllabus for Ecology and Evolution
25	GATE Syllabus for Humanities & Social Sciences
26	GATE Syllabus for Life Sciences
27	GATE Syllabus for Geomatics Engineering
28	GATE Syllabus for Geology and Geophysics
29	GATE Syllabus for Physics
30	GATE Syllabus for Data Science & Artificial Intelligence

GATE 2025 Preparation Tips

• Know gate exam syllabus for gate exam 2025 & its pattern well
• Make a daily/weekly study plan
• Practice PYQs & mock tests
• Revise formulas regularly
• Manage exam time smartly
• Stay consistent & stress-free

GATE 2025 Expected Cutoffs (Based on Previous Years)

The official GATE 2025 cutoff marks have not been released at the moment, as the examination is scheduled for February 2025. However, based on details from previous year examinations, we can provide estimated cut off marks for various GATE subjects. Expected GATE 2025 Qualifying Marks (Branch-Wise): Note: These are estimated cut off marks for GATE 2025 based on previous years and may vary depending on the actual exam difficulty and other factors.

Discipline	General	OBC-NCL/EWS	SC/ST/PwD
Computer Science (CSE)	30.0–31.0	27.5	20.0
Data Science & AI (DA)	31.0–32.0	27.5	20.0
Mechanical Engineering (ME)	32.0	29.5	23.0
Electrical Engineering (EE)	26.0–27.0	23.5–24.0	17.5
Electronics & Communication (EC)	25.0–26.0	23.5	17.5
Civil Engineering (CE)	30.0–31.0	27.5	20.0

Expected GATE 2025 Admission Cutoffs for IITs & NITs

Although specific admission cutoffs for IITs and NITs in 2025 are not published yet, based on previous trends suggested cut off marks are: IITs: GATE score of 750–800+ for top branches. NITs: GATE score of 650–700 for various branches.

Resources

• Official Website: gate.iitkgp.ac.in (or IIT conducting in 2025)