CBSE Class 12 Mathematics Syllabus 2026-27
Master the CBSE Class 12 Mathematics syllabus 2026-27 with this comprehensive guide covering Calculus, Algebra, Vector Algebra, Three-Dimensional Geometry, Linear Programming, Probability, and Application of Derivatives and Integrals. This detailed syllabus includes complete chapter breakdown, exam pattern, marking scheme, scoring strategies, and expert tips to score 95+ marks in your board examination.
Course Structure & Marking Scheme
Total Marks Distribution:
Component | Marks |
Theory Examination | 80 |
Internal Assessment | 20 |
Total | 100 |
Unit-wise Marks Distribution (Theory - 80 Marks)
Unit | Unit Name | Marks |
I | Relations and Functions | 08 |
II | Algebra | 10 |
III | Calculus | 35 |
IV | Vectors and Three-Dimensional Geometry | 14 |
V | Linear Programming | 05 |
VI | Probability | 08 |
Complete Syllabus - All Units & Chapters
Unit I: Relations and Functions (8 Marks)
Chapter 1: Relations and Functions
• Types of relations: Reflexive, symmetric, transitive and equivalence relations
• One to one and onto functions: Composite functions, inverse of a function
• Binary operations: Properties of binary operations
Chapter 2: Inverse Trigonometric Functions
• Definition, range, domain, principal value branch
• Graphs of inverse trigonometric functions
• Elementary properties of inverse trigonometric functions
Unit II: Algebra (10 Marks)
Chapter 3: Matrices
• Concept, notation, order, equality, types of matrices: Row and column matrices, square matrix, diagonal matrix, scalar matrix, identity matrix, zero matrix
• Transpose of a matrix: Symmetric and skew symmetric matrices
• Operations on matrices: Addition and multiplication, multiplication with a scalar
• Simple properties of addition, multiplication and scalar multiplication
• Non-commutativity of multiplication of matrices
• Concept of elementary row and column operations
• Invertible matrices: Existence of non-singular square matrices
• Proof of the uniqueness of inverse, if it exists
(Here all matrices will have real entries)
Chapter 4: Determinants
• Determinant of a square matrix (up to 3 × 3 matrices)
• Properties of determinants: Minor, cofactor
• Adjoint and inverse of a square matrix
• Applications of determinants and matrices: Consistency and inconsistency 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 (35 Marks)
Chapter 5: Continuity and Differentiability
• Continuity and differentiability: Derivative of composite functions, chain rule
• Derivatives of inverse trigonometric functions
• Derivatives of implicit functions: Concept of explicit and implicit functions
• Logarithmic differentiation: Derivative of functions expressed in parametric forms
• Second order derivatives
• Rolle's and Lagrange's Mean Value Theorems (without proof) and their geometric interpretation
Chapter 6: Applications of Derivatives
• Applications of derivatives: Rate of change of bodies, increasing/decreasing functions
• Tangents and normals: Approximations
• 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 real-life situations)
Chapter 7: 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:
∫dx/(x² ± a²), ∫dx/√(x² ± a²), ∫dx/√(a² - x²)
∫dx/(ax² + bx + c), ∫dx/√(ax² + bx + c)
∫(px + q)/(ax² + bx + c)dx, ∫(px + q)/√(ax² + bx + c)dx
∫√(a² ± x²)dx, ∫√(x² - a²)dx, ∫√(ax² + bx + c)dx
• Definite integrals as a limit of a sum
• Fundamental Theorem of Calculus (without proof)
• Basic properties of definite integrals and evaluation of definite integrals
Chapter 8: Applications of the Integrals
• Applications in finding the area under simple curves, especially lines, circles/parabolas/ellipses (in standard form only)
• Area between any of the two above said curves (the region should be clearly identifiable)
Chapter 9: 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
• Solutions of homogeneous differential equations of first order and first degree
• Solutions of linear differential equation of the type: dy/dx + py = q, where p and q are functions of x or constants
dx/dy + px = q, where p and q are functions of y or constants
Unit IV: Vectors and Three-Dimensional Geometry (14 Marks)
Chapter 10: 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
• Scalar (dot) product of vectors: Projection of a vector on a line
• Vector (cross) product of vectors: Scalar triple product
Chapter 11: Three-dimensional Geometry
• Direction cosines and direction ratios of a line joining two points
• Cartesian equation and vector equation of a line
• Coplanar and skew lines
• Shortest distance between two lines
• Cartesian and vector equation of a plane
• Angle between two lines, two planes, a line and a plane
• Distance of a point from a plane
Unit V: Linear Programming (5 Marks)
Chapter 12: 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 (bounded and unbounded)
• Feasible and infeasible solutions: Optimal feasible solutions (up to three non-trivial constraints)
Unit VI: Probability (8 Marks)
Chapter 13: Probability
• Conditional probability: Multiplication theorem on probability
• Independent events: Total probability
• Bayes' theorem
• Random variable and its probability distribution
• Mean and variance of random variable
• Repeated independent (Bernoulli) trials and Binomial distribution
CBSE Class 12 Mathematics Exam Pattern 2026-27
Theory Examination Pattern (80 Marks, 3 Hours)
Section | Question Type | Marks |
Section A | 18 MCQs + 2 Assertion-Reason (1 mark each) | 20 |
Section B | 5 Very Short Answer (VSA) questions (2 marks each) | 10 |
Section C | 6 Short Answer (SA) questions (3 marks each) | 18 |
Section D | 4 Long Answer (LA) questions (5 marks each) | 20 |
Section E | 3 Case Study questions (4 marks each) | 12 |
Important: Internal choice is provided in 2-mark, 3-mark, and 5-mark questions. No internal choice in MCQs and case studies. All questions are compulsory.
Internal Assessment (20 Marks)
Component | Marks |
|
Periodic Tests (Best 2 out of 3) |
| 10 |
Mathematics Activities |
| 05 |
Portfolio |
| 05 |
Important Dates & Academic Calendar 2026-27
Event | Timeline |
Academic Session Begins | April 2026 |
Mid-term Examinations | September-October 2026 |
Pre-board Examinations | December 2026 - January 2027 |
Practical Examinations (if applicable) | January - February 2027 |
Board Theory Examinations | February - March 2027 |
Results Declaration | May 2027 (Tentative) |
Note: Visit the official CBSE website (cbse.gov.in) for date sheet, sample papers, and marking scheme updates.
Expert Study Tips for 95+ Score in Mathematics
1. Unit-wise Preparation Strategy
• Relations and Functions (8 marks): Focus on types of relations, inverse functions, and inverse trigonometric properties
• Algebra (10 marks): Master matrix operations, determinant properties, and solving linear equations
• Calculus (35 marks - Highest weightage): This is the most important unit
Practice differentiation and integration daily
Master application problems: maxima-minima, rate of change, area under curves
Solve differential equations by separation of variables
• Vectors & 3D Geometry (14 marks): Learn vector operations, direction cosines, and equations of lines/planes
• Linear Programming (5 marks): Practice graphical method problems, easy scoring unit
• Probability (8 marks): Understand conditional probability, Bayes' theorem, and binomial distribution
2. Daily Practice Routine
• Practice minimum 10-15 problems daily from different chapters
• Dedicate 2-3 hours daily specifically for Mathematics
• Solve NCERT exercises thoroughly - most important resource
• Practice NCERT Exemplar problems for conceptual clarity
• Maintain a formula sheet with all important formulas, theorems, and identities
• Create an error log - note down mistakes and revise them weekly
• Time yourself while solving - practice speed and accuracy
• Focus more time on Calculus (35 marks) - highest weightage
3. Concept Mastery Techniques
• Understand, don't memorize: Focus on understanding concepts rather than rote learning
• Learn derivations: Many times derivation steps can help solve problems
• Connect concepts: Link related topics (e.g., differentiation and integration are inverse)
• Visualization: Draw graphs for functions, curves, 3D geometry problems
• Theorem application: Know when and how to apply theorems (LMVT, Rolle's theorem)
• Integration techniques: Master substitution, partial fractions, by parts
• Standard formulas: Memorize all integration formulas, trigonometric identities
4. Revision Strategy
• First revision: Within 24 hours of learning a chapter
• Second revision: After one week
• Third revision: After one month, then monthly
• Solve previous year question papers - last 10 years minimum
• Practice CBSE sample papers