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CUET Mathematics Syllabus 2025

Get Complete Information About CUET Mathematics Syllabus 2025
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CUET Mathematics Syllabus 2024- 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 2024 you can refer to HitBullseye's Comprehensive CUET Mathematics Study Book
CUET Mathematics Syllabus 2024 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.
The following is an explanation of the detailed question pattern for CUET Mathematics:
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  • The exam will be divided into 3 sections; Section 1 contains language, section 2 contains any 2-3 class XII subjects apart from Math and Section 3 comprises of General Test.
  • The applicants will have to answer any 40 questions out of the given 50 questions for section 1 & 2 and any 60 questions out of the given 70 questions for section 3.
  • The applicants will have 60 minutes to solve the given questions
The following table provides an assessment of the CUET Mathematics syllabus in greater detail:
SECTION A:
UNIT
CHAPTER
SUB-UNIT
1
Algebra
  • Matrices, as well as the various kinds of matrices
2
Probability Distributions
  • Binomial Distribution
  • Expected value of a random variable
3
Calculus
  • Higher-order derivatives
  • Increasing and Decreasing Functions
 
4
Differential Equations
5
Linear Programming
6
Integration and its Applications
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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
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