Detailed CUET Mathematics Syllabus 2026

CUET Mathematics Syllabus 2026- The CUET (Common University Entrance Test) is an entrance exam that is going to be centrally administered. Its goal is to provide students who are interested in attending the most prestigious universities and colleges in the country with an equal and standard opportunity to gain admission to those institutions. The candidates' CUET scores will be taken into consideration during the selection process, which admission decisions will follow. The test will be in computer-based testing (CBT) format, and the questions will be multiple-choice (MCQ). It is necessary to prepare thoroughly to achieve high test scores and increase the likelihood of being accepted to the institution or university of your choice. Mastering the CUET Mathematics syllabus will pave the way for a student in the initial phase.

For complete coverage of CUET Mathematics Syllabus 2026 you can refer to HitBullseye's Comprehensive CUET Mathematics Study Book

CUET Mathematics Syllabus 2026 for CUET:

The CUET Mathematics Syllabus is highly comprehensive and may be split into two distinct parts. In terms of your preparation, it is of the utmost importance that, in addition to being familiar with the curriculum, you are familiar with the test format for Mathematics and the kinds of questions that are asked from each unit. This comprehensive understanding of the test format and syllabus is sure to come in handy at some point, and it will make the task at hand much simpler at every stage of your preparation.

To get the latest CUET mathematics syllabus, candidates can download it directly from the link provided below.

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The following is an explanation of the detailed question pattern for CUET :

Candidates can choose up to five subjects, including languages and the General Aptitude Test.
The marking scheme awards +5 marks for a correct answer and deducts 1 mark for an incorrect answer.
Each test paper consists of 50 questions, with all being compulsory.
The duration for each test paper is 60 minutes.
The examination will be conducted in multiple shifts based on the number of candidates and subject choices.

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The following table provides an assessment of the CUET Mathematics syllabus in greater detail:

Must Read CUET Articles

SECTION A:

Topic	Sub-Topic
Algebra	Application of Integration as area under the curve (simple curve) Matrices and types of Matrices Equality of Matrices, transpose of a Matrix, Symmetric and Skew Symmetric Matrix Algebra of Matrices Determinants Inverse of a Matrix Solving of simultaneous equations using Matrix Method
Calculus	Higher order derivatives (second order) Increasing and Decreasing Functions Maxima and Minima
Integration and its Applications	Indefinite integrals of simple functions Evaluation of indefinite integrals Definite Integrals
Differential Equations	Order and degree of differential equations Solving of differential equations with variable separable
Probability Distributions	Random variable
Linear Programming	Graphical method of solution for problems in two variables Feasible and infeasible regions Optimal feasible solution

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SECTION B1: Mathematics

UNIT	CHAPTER	SUB-UNIT
RELATIONS AND FUNCTIONS	Inverse Trigonometric Functions	Definition, range, domain, principal value branches.
	Relations and Functions
ALGEBRA	Matrices	Properties of addition, multiplication, and scalar multiplication, as well as adding, multiplying, and scaling
	Determinants	Determinants of a 3x3 matrix, Determinants for triangle area, their characteristics, minors, and co-factors. Inverse and Adjoint of square matrix.
CALCULUS	Continuity and Differentiability	Inverse Trigonometric functions, Derivative of composite functions, derivatives of implicit functions, and chain rule Exponential and logarithmic functions.
	Applications of Derivatives	Tangent and Normal.
	Integrals	Integration as an inverse process of differentiation.
	Applications of the Integrals
	Differential Equations
VECTORS AND THREE-DIMENSIONAL GEOMETRY	Vectors	Direction cosines/ratios of vectors.
	Three-dimensional Geometry	Ratios of a line joining two points.
LINEAR PROGRAMMING
PROBABILITY		Multiplications theorem on probability.

SECTION B2: Applied Mathematics

UNIT	CHAPTER	SUB-UNIT
Numbers, Quantification, & Numerical Application	Modulo Arithmetic	Arithmetic Operations Using Modular Arithmetic Rules Modulus Of An Integer
	Allegation and Mixture	Rule Of Allegation To Produce A Mixture At A Given Price
	Partnership
	Numerical Problems
	Boats and Streams	Distinguish Between Upstream And Downstream Express The Problem In The Form Of An Equation
	Pipes and Cisterns	The Time Taken By Two Or More Pipes To Fill
	Races and Games	Comparison of The Performance Of Two Players W.R.T. Time,
	Congruence Modulo
	Numerical Inequalities
Algebra	Matrices and types of matrices
	Equality of matrices, Transpose of matrix, Symmetric and Skew symmetric matrix
Calculus	Maxima and Minima	Critical Points Of The Function
	Marginal Cost and Marginal Revenue using derivatives
	Higher Order Derivatives
Probability Distributions	Probability Distribution	Concept of Random Variables and its Probability Distributions probability distribution of discrete random variable
	Variance	Calculate the Variance and S.D.of a random variable
	Mathematical Expectation	Apply arithmetic mean of frequency distribution to find the expected value of a random variable
Index numbers & Time Based Data	Index Numbers	Index numbers as a special type of average
	Construction of Index numbers
	Test of Adequacy of Index Numbers	Applying time reversal test
Index numbers & Time Based Data	Population and Sample	Population vs sample Representative sample from a population
	Parameter and Statistics and Statistical Interferences	Relation between Parameter and Statistic Limitation of Statistics to generalize the estimation for population Concept of Statistical Significance and Statistical Inferences Central Limit Theorem Relation between Population-Sampling Distribution-Sample
Index numbers & Time Based Data	Time Series
	Components of Time Series
	Time Series analysis for univariate data	Practical problems based on statistical data and Interpret
Financial Mathematics	Perpetuity, Sinking Funds
	Valuation of Bonds
	Calculation of EMI
	Linear method of Depreciation
Linear Programming	Introduction & related terminology
	Different types of Linear Programming Problems
	Feasible and infeasible solutions, optimal feasible solution
	Graphs show how to solve problems with two variables.
	Infeasible and Feasible Regions
	Mathematical Formulation of Linear Programming Problem