Discover the best resources to gear up for the CUET (UG) Mathematics section at Target Publications. From CUET notes to practice papers, you will find a range of materials to help you prepare for the Central University Entrance Test (UG) here—starting with a detailed overview of what to anticipate in the exam.
The CUET (UG) Maths exam is conducted in CBT (Computer Based Test) mode.
The syllabus for CUET (UG) Maths is based on Class 12 Maths. The latest syllabus for CUET (UG) Maths on the official website is as follows:
SECTION A  
Unit  Topic 
Algebra 

Calculus 

Integration and its Applications 

Differential Equations 

Probability Distributions 

Linear Programming 

SECTION B1: MATHEMATICS  
Relations and Functions 
1. Relations and Functions Types of relations: Reflexive, symmetric, transitive and equivalence relations. Onetoone and onto functions, composite functions, inverse of a function. Binary operations. 2. Inverse Trigonometric Functions Definition, range, domain, principal value branches. Graphs of inverse trigonometric functions. Elementary properties of inverse trigonometric functions. 
Algebra 
1. Matrices Concept, notation, order, equality, types of matrices, zero matrix, transpose of a matrix, symmetric and skewsymmetric matrices. Addition, multiplication and scalar multiplication of matrices, simple properties of addition, multiplication and scalar multiplication. Noncommutativity of multiplication of matrices and existence of nonzero matrices whose product is the zero matrix (restrict to square matrices of order 2). Concept of elementary row and column operations. Invertible matrices and proof of the uniqueness of inverse, if it exists; (Here all matrices will have real entries). 2. Determinants Determinant of a square matrix (up to 3 × 3 matrices), properties of determinants, minors, cofactors 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. 
Calculus 
1. Continuity and Differentiability Continuity and differentiability, derivative of composite functions, chain rule, derivatives of inverse trigonometric functions, derivative of implicit function. Concepts of exponential, logarithmic functions. Derivatives of log x and ex. Logarithmic differentiation. Derivative of functions expressed in parametric forms. Secondorder derivatives. Rolle’s and Lagrange’s Mean Value Theorems (without proof) and their geometric interpretations. 2. Applications of Derivatives Applications of derivatives: Rate of change, increasing/decreasing functions, tangents and normals, approximation, maxima and minima (first derivative test motivated geometrically and second derivative test given as a provable tool). Simple problems (that illustrate basic principles and understanding of the subject as well as reallife situations). Tangent and Normal. 3. Integrals Integration as inverse process of differentiation. Integration of a variety of functions by substitution, by partial fractions and by parts, only simple integrals of the type— to be evaluated. Definite integrals as a limit of a sum. Fundamental Theorem of Calculus (without proof). Basic properties of definite integrals and evaluation of definite integrals. 4. Applications of the Integrals Applications in finding the area under simple curves, especially lines, arcs of circles/parabolas/ellipses (in standard form only), area between the two above said curves (the region should be clearly identifiable). 5. Differential Equations Definition, order and degree, general and particular solutions of a differential equation. Formation of differential equation whose general solution is given. Solution of differential equations by method of separation of variables, homogeneous differential equations of first order and first degree. Solutions of linear differential equation of the type: 
Vectors and ThreeDimensional Geometry 
1. Vectors Vectors and scalars, magnitude and direction of a vector. Direction cosines/ratios of vectors. 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. Scalar (dot) product of vectors, projection of a vector on a line. Vector (cross) product of vectors, scalar triple product. 2. Threedimensional Geometry Direction cosines/ratios of a line joining two points. Cartesian and vector equation of a line, coplanar and skew lines, shortest distance between two lines. Cartesian and vector equation of a plane. Angle between (i) two lines, (ii) two planes, (iii) a line and a plane. Distance of a point from a plane. 
Linear Programming  Introduction, related terminology such as constraints, objective function, optimization, different types of linear programming (L.P.) problems, mathematical formulation of L.P. problems, graphical method of solution for problems in two variables, feasible and infeasible regions, feasible and infeasible solutions, optimal feasible solutions (up to three nontrivial constraints). 
Probability  Multiplications theorem on probability. Conditional probability, independent events, total probability, Baye’s theorem. Random variable and its probability distribution, mean and variance of haphazard variable. Repeated independent (Bernoulli) trials and Binomial distribution. 
SECTION B2: MATHEMATICS  
Numbers, Quantification and Numerical Applications 
A. Modulo Arithmetic
B. Congruence Modulo
C. Allegation and Mixture
D. Numerical Problems
E. Boats and Streams
F. Pipes and Cisterns
G. Races and Games
H. Partnership
I. Numerical Inequalities

Algebra 
A. Matrices and types of matrices
B. Equality of matrices, Transpose of a matrix, Symmetric and Skew symmetric matrix

Calculus 
A. Higher Order Derivatives
B. Marginal Cost and Marginal Revenue using derivatives
C. Maxima and Minima

Probability Distributions 
A. Probability Distribution
B. Mathematical Expectation
C. Variance

Index Numbers and TimeBased Data 
A. Index Numbers
B. Construction of Index numbers
C. Test of Adequacy of Index Numbers

Index Numbers and TimeBased Data 
A. Population and Sample
B. Parameter and Statistics and Statistical Interferences

Index Numbers And TimeBased Data 
A. Time Series
B. Components of Time Series
C. Time Series Analysis for Univariate Data

Financial Mathematics 
A. Perpetuity, Sinking Funds
B. Valuation of Bonds
C. Calculation of EMI
D. Linear method of Depreciation

Linear Programming 
A. Introduction and related terminology
B. Mathematical formulation of Linear Programming Problem
C. Different types of Linear Programming Problems
D. Graphical Method of Solution for problems in two Variables
E. Feasible and Infeasible Regions
F. Feasible and infeasible solutions, optimal feasible solution

In 2022, 9.68 lakh candidates appeared for the CUET (UG) exam. That number increased to 19.2 lakhs in 2023. As more illustrious institutes incorporate CUET (UG) scores in their admission process, this competition is only going to get more intense. As a CUET (UG) 2024 candidate, you will require the absolute best CUET Maths books to prepare for the upcoming examination.
Over the course of 17 years, we, at Target, have built a farreaching network of industry professionals as well as experienced educators. This very network is what allows us to consistently create the best entrance exam preparation books for MHTCET, NEETUG, JEEMain and CUETUG. And the 10 lakh+ students who place their trust our books every year are a testament to that.
To do well in the Maths section of the CUET (UG) exam, thorough understanding of mathematical concepts and practice are key. Hence, we offer the CUET Maths books: CUET (UG) Mathematics Notes, CUET (UG) Mathematics 10 Practice Paper Set and CUET (UG) Applied Mathematics 10 Practice Paper Set.
Target's CUET (UG) Mathematics Notes comprises quick revision notes, subtopicwise CUET Maths questions with answer keys, tips, tricks and topic tests. We have also included CUET Maths previous year’s question paper (2022). In addition, you will find CUET Maths PYQs tagged throughout the book.
Master your problemsolving skills with the CUET (UG) Mathematics 10 Practice Paper Set and CUET (UG) Applied Mathematics 10 Practice Paper Set. They have 10 CUET sample papers each prepared according to the latest CUET (UG) entrance exam. These CUET Maths practice handbooks also come with the solved 2022 CUET (UG) exam paper, answer keys and smart keys.
To prepare for sections IA, IB, and II of the CUET (UG) exam, try our notes for other subjects:
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The CUET Mathematics entrance test is a computerbased test (CBT) consisting of 85 multiplechoice questions (MCQs). The exam is divided into two sections:
Section A is compulsory for all candidates and contains 15 questions from both Mathematics and Applied Mathematics. Section B contains two parts: Section B1 contains 35 questions from Mathematics, out of which candidates must attempt 25 questions. Section B2 contains 35 questions from Applied Mathematics, out of which candidates must attempt 25 questions.
Each question carries 5 marks, and there is a negative marking of 1 mark for each incorrect answer.
Visit cuet.samarth.ac.in for the detailed syllabus of the CUET Mathematics 2023–24 exam.
First, understand the syllabus and exam format. Then go through previous years’ question papers to understand important topics and the nature of questions asked in the exam. Once you have these insights, prepare a study strategy accordingly focusing on the most important CUET topics. Use good quality reference materials like the ones mentioned above. Focus on understanding the concepts, not just memorizing formulas. Lastly, practice regularly. Take as many mock tests and solve as many CUET PYQs as possible.