CUET UG Mathematics Syllabus 2025: Syllabus, Pattern and Preparation Tips

CUET UG Mathematics Exam 2025

TheCUET UG Mathematics Exam is part of the Common University Entrance Test (CUET) for Undergraduate (UG) programs in India. It is conducted by the National Testing Agency (NTA) to facilitate admission into various undergraduate courses in central universities and other participating institutions across the country.

The CUET UG Mathematics Exam specifically tests the mathematical knowledge and problem-solving abilities of students seeking admission to undergraduate courses in fields related to Mathematics, Science, Engineering, Economics, Statistics, and other related disciplines.

CUET UG Mathematics Syllabus 2025

The Common University Entrance Test (CUET) Undergraduate (UG) Mathematics syllabus for 2025 is structured to assess a candidate's proficiency in various mathematical domains. The syllabus is primarily based on the NCERT Class 12 curriculum and is divided into two main sections: Section A and Section B.

Section A

Section B: Mathematics

Unit I: Relations And Functions

• Relations and Functions:Types of relations: Reflexive,symmetric, transitive and equivalence relations. One to one and onto functions.
• Inverse Trigonometric Functions:Definition, range, domain, principal value branches. Graphs of inverse trigonometric functions.

Unit II: Algebra

Matrices:

• Concept, notation, order, equality, types of matrices, zero matrix, transpose of a matrix, symmetric and skew symmetric matrices.
• Operations on matrices:Addition, multiplication and multiplication with a scalar. Simple properties of addition, multiplication and scalar multiplication.
• Non-commutativity of multiplication of matrices and existence of non-zero matrices whose product isthe zero matrix (restrict to square matrices of order 2).
• Invertible matrices and proof of the uniqueness of inverse,if it exists; (Here all matrices will have real entries).

Determinants:

• Determinant of a square matrix (upto 3×3 matrices), minors, co-factors and applications of determinants in finding the area of a triangle.
• Adjoint and inverse of a square matrix.
• Consistency, inconsistency and number of solutions of system of linear equations by examples
• Solving system of linear equations in two or three variables (having unique solution) using inverse of a matrix.

Unit III: Calculus

Continuity and Differentiability:

• Continuity and differentiability, chain rule, derivatives of inverse trigonometric functions, like sin^-1x, cos^-1x, and tan^-1x, derivative of implicit functions.
• Concepts of exponential, logarithmic functions.
• Derivatives of logarithmic and exponential functions.
• Logarithmic differentiation, derivative of functions expressed in parametric forms.
• Second-order derivatives.

Applications of Derivatives:

• Rate of change of quantities, increasing/decreasing functions, maxima and minima (first derivative test motivated geometrically and second derivative test given as provable tool).
• Simple problems (that illustrate basic principles and understanding of the subject as well asreal-life situations).

Integrals:

• Integration as inverse process of differentiation.
• Integration of a variety of functions by substitution, by partial fractions and by parts,
• Evaluation of simple integrals of the following types and problems based on them:

• Fundamental Theorem of Calculus(without proof).
• Basic properties of definite integrals and evaluation of definite integrals.

Applications of the Integrals:

• Applications in finding the area under simple curves, especially lines, circles/parabolas/ellipses(in standard form only).

Differential Equations:

• Definition, order and degree, general and particular solutions of a differential equation.
• Solution of differential equations by method of separation of variables, solutions of homogeneous differential equations of first order and first degree.
• Solutions of linear differential equation of the type:

Unit IV: Vectors And Three Dimensional Geometry

Vectors:

• Vectors and scalars, magnitude and direction of a vector.
• Direction cosines and direction ratios of a vector.
• Types of vectors (equal, unit, zero, parallel and collinear vectors), position vector of a point, negative of a vector, components of a vector, addition of vectors, multiplication of a vector by a scalar, position vector of a point dividing a line segment in a given ratio.
• Definition, Geometrical interpretation, properties and application of scalar (dot) product of vectors, vector(cross) product ofvectors

Three-dimensional Geometry:

• Direction cosines and direction ratios of a line joining two points.
• Cartesian equation and vector equation of a line, skew lines, shortest distance between two lines.
• Angle between two lines.

Unit V: Linear Programming

Introduction, related terminology such as constraints, objective function, optimization, graphical method of solution for problems in two variables, feasible and infeasible regions (bounded or unbounded), feasible and infeasible solutions, optimal feasible solutions (up to three non-trivial constraints).

Unit VI: Probability

• Conditional probability, Multiplications theorem on probability, independent events, total probability, Baye’s theorem.
• Random variable