CUET BBA Syllabus 2024 : Candidates preparing for the CUET BBA must thoroughly familiarize themselves with the CUET BBA Syllabus to understand the primary topics for every section and subject. Most likely, CUET UG 2024 will be held between May 15 and May 31, 2024, therefore students should begin preparing for the examination.
The CUET BBA syllabus 2024 will help candidates know the chapters and subtopics that must be covered in order to prepare for the CUET Exam. A complete understanding and familiarity with the curriculum would be very helpful when creating a preparation strategy. We have provided below the complete syllabus of domain subjects covered in the CUET BBA syllabus. Before knowing the CUET BBA syllabus, let’s first know the CUET 2024 Exam pattern .Sections | Details |
Section IA Section IB | 13 Languages 20 Languages Reading Comprehension (based on several sorts of passages--Factual, Literary, and Narrative) will be used to assess language skills. |
Section II | 27 Domain-specific Subjects b ased on CBSE Class 12th syllabus |
Section III | General Test |
CUET BBA Syllabus 2024 for Business Studies |
Chapter I: Nature and Significance of Management |
Chapter II: Principles of Management |
Chapter III: Business Environment |
Chapter IV: Planning |
Chapter V: Organising |
Chapter VI: Staffing |
Chapter VII: Directing |
Chapter VIII: Controlling |
Chapter IX: Business Finance |
Chapter X: Financial Markets |
Chapter XI: Marketing |
Chapter XII: Consumer Protection |
Chapter XIII: Entrepreneurship Development |
Mathematics Syllabus Section A | |
Chapters | Subtopics |
Chapter 1. Algebra | (i) Matrices and types of Matrices (ii) Symmetric and Skew Symmetric Matrix, Equality of Matrices, and Transpose of a Matrix (iii) Algebra of Matrices (iv) Determinants (v) Inverse of a Matrix (vi) Matrix Method to Solve Simultaneous Equations |
Chapter 2. Calculus | (i) Higher order derivatives (ii) Tangents and Normals (iii) Increasing and Decreasing Functions (iv). Maxima and Minima |
Chapter 3. Integration and its Applications | (i) Indefinite integrals of simple functions (ii) Evaluation of indefinite integrals (iii) Definite Integrals (iv). Application of Integration as area under the curve |
Chapter 4. Differential Equations | (i) Degree and Order of differential equations (ii) Formulating and solving of differential equations with variable separable |
Chapter 5. Probability Distributions | (i) Random variables and its probability distribution (ii) Expected value of a random variable (iii) Standard Deviation and Variance of a random variable (iv). Binomial Distribution |
Chapter 6. Linear Programming | (i) Mathematical formulation of Linear Programming Problem (ii) Solving problems in two variables using Graphical Method (iii) Feasible and infeasible regions (iv). Optimal feasible solution |
Mathematics Syllabus Section B1 | |
Chapters | Subtopics |
CHAPTER I: Relations and Functions | 1. Relations and Functions 2. Inverse Trigonometric Functions |
CHAPTER II: Algebra | 1. Matrices 2. Determinants |
CHAPTER III: Calculus | 1. Continuity and Differentiability 2. Applications of Derivatives 3. Integrals 4. Applications of the Integrals 5. Differential Equations |
CHAPTER IV: Vectors and Three Dimensional Geometry | 1. Vectors 2. Three-dimensional Geometry |
CHAPTER V: Linear Programming | |
CHAPTER VI: Probability |
Mathematics Syllabus Section B2 | |
Chapters | Subtopics |
Chapter I: Numbers, Quantification and Numerical Applications | 1. Modulo Arithmetic 2. Congruence Modulo 3. Allegation and Mixture 4. Numerical Problems 5. Boats and Streams 6. Pipes and Cisterns 7. Races and Games 8. Partnership 9. Numerical Inequalities |
CHAPTER II: ALGEBRA | 1. Matrices and types of Matrices 2. Equality of matrices, Transpose of a matrix, Symmetric and Skew symmetric matrix |
CHAPTER III: CALCULUS | 1. Higher Order Derivatives 2. Marginal Cost and Marginal Revenue using Derivatives 2. Maxima and Minima |
CHAPTER IV: PROBABILITY DISTRIBUTIONS | 1. Probability Distribution 2. Mathematical Expectation 3. Variance |
CHAPTER V: INDEX NUMBERS AND TIME BASED DATA | 1. Index Numbers 2. Construction of Index numbers 3. Test of Adequacy of Index Numbers |
CHAPTER VI: INDEX NUMBERS AND TIME BASED DATA | 1. Population and Sample 2. Parameter and Statistics and Statistical Interferences |
CHAPTER VII: INDEX NUMBERS AND TIME-BASED DATA | 1. Time Series 2. Components of Time Series 3. Time Series analysis for univariate data |
CHAPTER VIII: FINANCIAL MATHEMATICS | 1. Perpetuity, Sinking Funds 2. Valuation of Bonds 3. Calculation of EMI 4. Linear method of Depreciation |
CHAPTER IX: LINEAR PROGRAMMING | 1. Introduction and related terminology 2. Mathematical formulation of Linear Programming Problem 3. Different types of Linear Programming Problems 4. Graphical Method of Solution for problems in two Variables 5. Feasible and infeasible Regions 6. Feasible and infeasible solutions, optimal feasible solution |