
CBSE Class 12 Applied Mathematics: The CBSE Class 12 Applied Mathematics syllabus for the 2025-26 academic session is specifically designed to provide students with practical mathematical skills applicable in fields such as Commerce, Economics, and Social Sciences. This elective course moves beyond traditional physical sciences to focus on real-world data analysis, logical reasoning, and financial applications. The curriculum is structured into eight key units, including Calculus, Probability Distributions, and Financial Mathematics, totaling 80 marks for the theory paper and 20 marks for internal assessment.
By integrating spreadsheet-based practicals and project work, the course ensures that students can model real-world problems and make meaningful inferences from data. Aspiring students can use this guide to understand the unit-wise weightage and effective preparation tips to excel in their upcoming board examinations.
Applied Mathematics Class 12 Sample Paper
Faculty recommend that studying applied mathematics can benefit students in their future careers. By referring to the CBSE Class 12 Commerce Syllabus , students can understand the key topics for the exam and plan their studies accordingly. Here's a table listing all the topics and their weightage for CBSE class 12 applied mathematics:
| CBSE Class 12 Applied Mathematics Unit-Wise Weightage 2025-26 | ||
| Unit Name | No. of Periods | Marks |
| Numbers, Quantification and Numerical Applications | 30 | 11 |
| Algebra | 20 | 10 |
| Calculus | 50 | 15 |
| Probability Distributions | 35 | 10 |
| Inferential Statistics | 10 | 05 |
| Index Numbers and Time-based data | 30 | 06 |
| Financial Mathematics | 50 | 15 |
| Linear Programming | 15 | 08 |
| Total | 240 | 80 |
| Internal Assessment | - | 20 |
| Total Marks | - | 100 |
The CBSE Class 12 Applied Mathematics syllabus is structured to provide students with a solid foundation in mathematical tools used in business, finance, and social sciences. The curriculum emphasizes practical application, data interpretation, and logical reasoning to prepare students for various professional fields.
Also check: Commerce Batch Class 12th Parishram 2027
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CBSE Class 12 Applied Mathematics Syllabus 2025-26 |
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Sl. No. |
Contents |
Learning Outcomes: Students will be able to |
Notes / Explanation |
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UNIT 1: NUMBERS, QUANTIFICATION AND NUMERICAL APPLICATIONS |
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1.1 |
Modulo Arithmetic |
• Define modulus of an integer • Apply arithmetic operations using modular arithmetic rules |
• Definition and meaning • Introduction to modulo operator • Modular addition and subtraction |
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1.2 |
Congruence Modulo |
• Define congruence modulo • Apply the definition in various problems |
• Definition and meaning • Solution using congruence modulo • Equivalence class |
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1.3 |
Alligation and Mixture |
• Understand the rule of alligation to produce a mixture at a given price • Determine the mean price of a mixture • Apply rule of alligation |
• Meaning and Application of rule of alligation • Mean price of a mixture |
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1.4 |
Numerical Problems |
• Distinguish between upstream and downstream • Express the problem in the form of an equation • Determine time taken by pipes to fill/empty a tank • Compare performance in races and games |
• Problems based on speed of stream and boat • Calculation of tank portion filled in unit time • Calculation of time/distance/speed of players |
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1.5 |
Numerical Inequalities |
• Describe basic concepts of numerical inequalities • Understand and write numerical inequalities |
• Comparison between two situations numerically • Application of techniques for algebraic inequations |
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UNIT 2: ALGEBRA |
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2.1 |
Matrices and types of matrices |
• Define matrix • Identify different kinds and order of matrices |
• Entries, rows, and columns of matrices • Present data in matrix form |
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2.2 |
Equality, Transpose, Symmetric/Skew |
• Determine equality and write transpose • Define symmetric and skew-symmetric matrices |
• Matrix as sum of symmetric and skew-symmetric • Diagonal elements of skew-symmetric are zero |
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2.3 |
Algebra of Matrices |
• Perform addition, subtraction, and multiplication • Multiply a scalar with a matrix |
• Addition and Subtraction • Matrix multiplication basics |
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2.4 |
Determinants |
• Find determinant of a square matrix |
• Singular/Non-singular matrices • Properties like $ |
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2.5 |
Inverse of a matrix |
• Define and find inverse using cofactors • Apply properties of inverse matrices |
• Properties: $(AB)^{-1} = B^{-1}A^{-1}$ • $(A^{-1})^{-1} = A$ and $(A')^{-1} = (A^{-1})'$ |
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2.6 |
Simultaneous Equations |
• Solve using Cramer’s Rule and Matrix Method |
• Solution for up to three variables • Formulate real-life problems into equations |
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UNIT 3: CALCULUS |
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3.1 |
Higher Order Derivatives |
• Determine derivatives up to second order • Differentiate parametric and implicit functions |
• Simple problems on 2nd order derivatives • Parametric and implicit differentiation |
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3.2 |
Application of Derivatives |
• Determine the rate of change of various quantities |
• Rate of change for area/volume w.r.t. time |
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3.3 |
Marginal Cost/Revenue |
• Define and find marginal cost and revenue |
• Contextual examples of cost and revenue |
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3.4 |
Increasing/Decreasing Functions |
• Determine if a function is increasing/decreasing |
• Problems on behavior in a given interval |
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3.5 |
Maxima and Minima |
• Find critical points, local and absolute extrema • Solve optimization problems (cost/profit) |
• Use of 1st and 2nd derivative tests • Contextualized real-life optimization |
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3.6 |
Integration |
• Determine indefinite integrals as anti-derivatives |
• Reverse process of differentiation |
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3.7 |
Indefinite Integrals |
• Use substitution, partial fractions, and by parts |
• Non-trigonometric algebraic functions |
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3.8 |
Definite Integrals |
• Evaluate area under the curve • Apply Fundamental Theorem of Calculus |
• Area under curves up to 2nd degree |
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3.9 |
Application of Integration |
• Find consumer and producer surplus |
• Find total cost/revenue from marginal values |
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3.10 |
Differential Equations |
• Recognize order and degree of equations |
• Definitions and basic examples |
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3.11 |
Solving Diff. Equations |
• Formulate and solve using variable separable |
• Elimination of arbitrary constants |
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UNIT 4: PROBABILITY DISTRIBUTIONS |
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4.1 |
Probability Distribution |
• Understand Random Variables and distributions |
• Discrete vs. Continuous random variables |
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4.2 |
Mathematical Expectation |
• Find expected value of a random variable |
• Summation of product: value × probability |
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4.3 |
Variance |
• Calculate Variance and Standard Deviation |
• Practical calculation problems |
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4.4 |
Binomial Distribution |
• Identify Bernoulli Trials and apply Binomial formula |
• Mean = $np$; Variance = $npq$ |
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4.5 |
Poisson Distribution |
• Understand conditions and evaluate Mean/Variance |
• Formula: $P(X) = \frac{\lambda^x e^{-\lambda}}{x!}$ |
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4.6 |
Normal Distribution |
• Understand properties of continuous distribution • Evaluate standard normal variates |
• $Z = \frac{x-\mu}{\sigma}$; Total area = 1 |
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UNIT 5: INFERENTIAL STATISTICS |
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5.1 |
Population and Sample |
• Differentiate between population and sample • Use simple and systematic random sampling |
• Biased vs. unbiased sampling • Data from census and surveys |
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5.2 |
Parameter and Statistics |
• Define parameter and statistic • State Central Limit Theorem |
• Limitation of generalizing from sample • Statistical Significance understanding |
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5.3 |
t-Test |
• Define Null and Alternate hypothesis • Test hypothesis for small sample sizes |
• Degree of freedom and t-test statistic • Framing hypotheses for inferences |
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UNIT 6: TIME-BASED DATA |
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6.1-6.2 |
Time Series Components |
• Identify chronological data and components |
• Secular, Seasonal, Cyclical, Irregular |
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6.3-6.5 |
Measurement of Trend |
• Fit straight-line trends • Use Moving Average and Least Squares |
• Solving practical statistical problems • Long-term tendencies of variables |
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UNIT 7: FINANCIAL MATHEMATICS |
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7.1 |
Perpetuity, Sinking Funds |
• Calculate perpetuity and sinking funds |
• Sinking Fund vs. Savings account |
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7.2 |
Valuation of Bonds |
• Define coupon rate, maturity, and price |
• Present Value Approach for bonds |
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7.3 |
Calculation of EMI |
• Calculate EMI using different methods |
• Flat-Rate vs. Reducing-Balance |
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7.4 |
CAGR |
• Understand Compound Annual Growth Rate |
• Formula and use in financial analysis |
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7.5 |
Depreciation |
• Use linear method of depreciation |
• Interpret cost, residual value, and life |
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UNIT 8: LINEAR PROGRAMMING |
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8.1-8.3 |
LPP Formulation |
• Familiarize with terminology • Formulate manufacturing and diet problems |
• Decision variables and constraints • Objective function and optimization |
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8.4-8.6 |
Graphical Solution |
• Use Corner Point Method • Identify feasible and infeasible regions |
• Solutions in two variables • Optimization based on feasible regions |
The assessment plan for CBSE Applied Mathematics is straightforward. The course is graded out of 100 marks and is divided into two parts: External Exam and Internal Assessment. The External Exam is a written test lasting 3 hours, worth 80 marks. The Internal Assessment makes up the remaining 20 marks and includes various activities conducted throughout the semester or academic year. These activities involve projects and practical work, such as Excel-based tasks. Teachers can choose activities from a provided list or design similar ones. They're encouraged to use local data sources to make the practicals more relevant to students. For a breakdown of the weightage for each area of internal assessment for CBSE Class 12 Applied Mathematics, refer to the table provided.
| CBSE Class 12 Applied Mathematics Assessment | |||
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| Sl. No. | Area and Weightage | Assessment Area | Marks Allocated |
| 1 | Project Work (10 marks) | Project Work and Record | 5 |
| Year-end Presentation/Viva of the Project | 5 | ||
| 2 | Practical Work (10 marks) | Performance of Practical and Record | 5 |
| Year-end Test of Any One Practical | 5 | ||
| Total | 20 | 20 | |