GATE Mathematics Syllabus 2027 outlines the latest official subject topics prescribed for candidates appearing in GATE 2027 under the Mathematics (MA) paper. The Syllabus 2027 covers 11 major sections, including Calculus, Linear Algebra, Real Analysis, Complex Analysis, Ordinary Differential Equations, Algebra, Functional Analysis, Numerical Analysis, Partial Differential Equations, Topology, and Linear Programming.
Understanding the complete topic-wise syllabus helps you plan your preparation systematically, identify important concepts, and build a strong foundation for the examination based on the latest official syllabus.
You should prepare the General Aptitude (GA) section with the GATE Mathematics (MA) Syllabus 2027. It is common to all GATE papers. The GA syllabus evaluates a candidate's proficiency in English language skills, quantitative reasoning, logical thinking, and spatial aptitude. A complete understanding of these areas can help you strengthen your overall performance in GATE 2027.
GATE Mathematics General Aptitude Syllabus 2027 |
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Topics |
Sub-topics |
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Verbal Aptitude |
Basic English grammar, Basic vocabulary, Reading comprehension, Narrative sequencing |
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Quantitative Aptitude |
Numerical computation and estimation, Ratios, Percentages, Powers, Exponents and logarithms, Permutations and combinations, Series, Data interpretation, 2D and 3D plots, Maps and tables, Mensuration and geometry, Elementary statistics and probability |
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Analytical Aptitude |
Logic (deduction and induction), Analogy, Numerical relations and reasoning |
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Spatial Aptitude |
Transformation of shapes (translation, mirroring, rotation and scaling), Assembling and grouping, Paper folding, Paper cutting, Two-dimensional and three-dimensional patterns |
Download GATE Mathematics Syllabus for General Aptitude PDF
The GATE Mathematics Syllabus 2027 is based on the latest official syllabus released for GATE 2027 and is divided into 11 sections covering the core subjects of the Mathematics (MA) paper. As the syllabus is extensive, you should begin your preparation early to allocate sufficient time for concept building, practice, and revision.
The GATE MA Syllabus 2027 includes Calculus, Linear Algebra, Real Analysis, Complex Analysis, Ordinary Differential Equations, Algebra, Functional Analysis, Numerical Analysis, Partial Differential Equations, Topology, and Linear Programming. You can refer to the complete topic-wise breakdown of the official syllabus below to plan your preparation effectively.
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GATE Mathematics Syllabus 2027 |
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Sl. No. |
Sections |
Topics |
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1 |
Calculus |
Functions of two or more variables, continuity, directional derivatives, partial derivatives, total derivative, Taylor's theorem, maxima and minima, saddle point, method of Lagrange's multipliers; Double and Triple integrals, Jacobians and Change of variables, applications to area, volume and surface area; Vector Calculus: gradient, divergence and curl, Line integrals and Surface integrals, Green's theorem, Stokes' theorem and Gauss divergence theorem. |
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2 |
Linear Algebra |
Finite dimensional vector spaces over real or complex fields; Linear transformations and their matrix representations, rank and nullity; systems of linear equations, characteristic polynomial, eigenvalues and eigenvectors, diagonalization, minimal polynomial, Cayley-Hamilton Theorem; Finite dimensional inner product spaces, Gram-Schmidt orthonormalization process, symmetric, skew-symmetric, Hermitian, skew-Hermitian, normal, orthogonal and unitary matrices; diagonalization by a unitary matrix, Jordan canonical form; bilinear and quadratic forms. |
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3 |
Real Analysis |
Metric spaces, Baire category theorem, connectedness, compactness, completeness; Continuity and Uniform continuity of functions; Sequences and series of functions, uniform convergence, Arzelà-Ascoli theorem; Weierstrass approximation theorem; contraction mapping principle, Power series; Differentiation of functions of several variables, Inverse and Implicit function theorems; Lebesgue measure on the real line, measurable functions; Lebesgue integral, Fatou's lemma, monotone convergence theorem, dominated convergence theorem, Lp spaces. |
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4 |
Complex Analysis |
Functions of a complex variable: continuity, differentiability, analytic functions, harmonic functions; Complex integration: Cauchy's integral theorem and formula; Liouville's theorem, maximum modulus principle, Morera's theorem; zeros and singularities; Power series, radius of convergence, Taylor's series and Laurent's series; Residue theorem and applications for evaluating real integrals; Rouche's theorem, Argument principle, Schwarz lemma; Conformal mappings, Mobius transformations. |
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5 |
Ordinary Differential Equations |
First order ordinary differential equations, existence and uniqueness theorems for initial value problems, linear ordinary differential equations of higher order with constant coefficients; Second order linear ordinary differential equations with variable coefficients; Cauchy-Euler equation; Definition and basic properties of Laplace transforms, applications of Laplace transform for solving ordinary differential equations; series solutions (power series, Frobenius method); Legendre and Bessel functions and their orthogonal properties; Systems of linear first order ordinary differential equations, Sturm's oscillation and separation theorems, Sturm-Liouville eigenvalue problems; Planar autonomous systems of ordinary differential equations: Stability of stationary points for linear systems with constant coefficients, Linearized stability, Lyapunov functions. |
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6 |
Algebra |
Groups, subgroups, normal subgroups, quotient groups, homomorphisms, automorphisms; cyclic groups, permutation groups, Group action, Finite Abelian groups, Sylow's theorems and their applications; Rings, ideals, prime and maximal ideals, quotient rings, unique factorization domains, Principal Ideal domains, Euclidean domains, polynomial rings, Eisenstein's irreducibility criterion; Fields, finite fields, field extensions, algebraic extensions, algebraically closed fields. |
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7 |
Functional Analysis |
Normed linear spaces, Bounded linear operators and compact linear operators, Banach spaces, Separability, Dual spaces, Hahn-Banach theorem, open mapping and closed graph theorems, principle of uniform boundedness; Inner-product spaces, Hilbert spaces, orthonormal bases, projection theorem, Riesz representation theorem, spectral theorem for compact self-adjoint operators. |
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8 |
Numerical Analysis |
Systems of linear equations: Direct methods (Gaussian elimination, LU decomposition, Cholesky factorization), Iterative methods (Gauss-Seidel and Jacobi) and their convergence for diagonally dominant coefficient matrices; Numerical solutions of nonlinear equations: bisection method, secant method, Newton-Raphson method, fixed point iteration; Interpolation: Lagrange and Newton forms of interpolating polynomial, Error in polynomial interpolation of a function; Numerical differentiation and error; Numerical integration: Trapezoidal and Simpson rules, Newton-Cotes integration formulas, composite rules, mathematical errors involved in numerical integration formulae; Numerical solution of initial value problems for ordinary differential equations: Methods of Euler, Runge-Kutta method of order 2. |
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9 |
Partial Differential Equations |
Method of characteristics for first order linear and quasilinear partial differential equations; Second order partial differential equations in two independent variables: classification and canonical forms, method of separation of variables for Laplace equation in Cartesian and polar coordinates, Maximum Principle; heat and wave equations in one space variable; Wave equation: Cauchy problem and d'Alembert formula, domains of dependence and influence, non-homogeneous wave equation; Heat equation: Cauchy problem; Laplace and Fourier transform methods. |
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10 |
Topology |
Basic concepts of topology, bases, subbases, subspace topology, order topology, product topology, quotient topology, metric topology, connectedness, path connectedness, compactness, sequentially compact, limit point compact, Tychonoff theorem, countability and separation axioms, Urysohn's Lemma, Tietze extension theorem. |
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11 |
Linear Programming |
Linear programming models, convex sets, extreme points; Basic feasible solution, graphical method, simplex method, two phase methods, revised simplex method; Infeasible and unbounded linear programming models, alternate optima; Duality theory, weak duality and strong duality; Balanced and unbalanced transportation problems, Initial basic feasible solution of balanced transportation problems (least cost method, north-west corner rule, Vogel's approximation method); Optimal solution, modified distribution method; Solving assignment problems, Hungarian method. |
The GATE Mathematics Syllabus 2027 PDF has been officially released. You can download the latest GATE Mathematics Syllabus 2027 PDF from the direct link provided below. The official syllabus outlines all the topics prescribed for the Mathematics (MA) paper, helping you understand the complete exam scope and prepare accordingly.
Reviewing the expected topic-wise weightage can help you understand which areas have received relatively more attention in previous GATE Mathematics examinations. It also enables you to prioritise their preparation, allocate study time effectively, and create a balanced strategy while covering the complete syllabus.
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Expected Topic-wise Weightage Based on Previous Years' GATE Papers |
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Important Topics |
Weightage of Topics (In %) |
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Linear Algebra |
10% |
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Complex Variables |
10% |
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Vector Calculus |
20% |
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Calculus |
10% |
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Differential Equation |
10% |
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Probability & Statistics |
20% |
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Numerical Methods |
20% |
Disclaimer: The following topic-wise weightage is indicative and based on previous years' GATE Mathematics (MA) examinations. It is not officially prescribed by IIT Madras for GATE 2027, and the actual exam pattern may vary.
The GATE MA Syllabus 2027 comprises several core sections that candidates should prepare for the examination. Building a strong understanding of these topics can help improve conceptual clarity and problem-solving skills. Some of the important areas to focus on include:
Calculus
Linear Algebra
Real Analysis
Complex Analysis
Ordinary Differential Equations
Algebra
Partial Differential Equations
Linear Programming
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