Knowing exactly what to study for NATA Mathematics can be challenging, especially when the syllabus covers several different topics. Students may also find it difficult to track all the chapters and decide where to focus their preparation without a clear list of topics.
The NATA Mathematics Syllabus 2027 covers Algebra, Logarithms, Matrices, Trigonometry, Coordinate Geometry, 3-Dimensional Coordinate Geometry, Theory of Calculus, Application of Calculus, Permutation and Combination, and Statistics and Probability. Having all these topics in one place makes it easier to understand the syllabus and plan Mathematics preparation without missing any important area.
The NATA Mathematics syllabus covers 10 major sections, including Algebra, Trigonometry, Coordinate Geometry, Calculus, and Statistics and Probability. The table below gives a quick overview of all the sections included in the syllabus.
|
S. No. |
NATA Mathematics Syllabus Section |
Key Areas Covered |
|
1 |
Algebra |
A.P. and G.P., general term, series, A.M., G.M., and infinite G.P. series |
|
2 |
Logarithms |
Definition, general properties, and change of base |
|
3 |
Matrices |
Real matrices, matrix operations, determinants, inverse, and linear equations |
|
4 |
Trigonometry |
Trigonometric functions, formulae, trigonometric equations, properties of triangles, and inverse trigonometric functions |
|
5 |
Coordinate geometry |
Distance and section formulae, lines, circles, polar coordinates, locus, and related concepts |
|
6 |
3-Dimensional Co-ordinate geometry |
Direction cosines, direction ratios, distance, section formula, lines, planes, and distance from a plane |
|
7 |
Theory of Calculus |
Functions, limits, derivatives, integration, definite integrals, and differential equations |
|
8 |
Application of Calculus |
Tangents, normals, monotonicity, maxima and minima, motion, and area calculation |
|
9 |
Permutation and combination |
Permutations, combinations, repetitions, basic properties, and related problems |
|
10 |
Statistics and Probability |
Measures of dispersion, mean, variance, standard deviation, probability, Bayes’ Theorem, and Binomial distribution |
Students can use the NATA Mathematics Syllabus PDF to check the complete list of topics and review the syllabus in detail. Use the link below to access the PDF.
Study without using the internet
The syllabus is divided into 10 major sections. The table below lists each section with the topics covered under it.
|
Syllabus Section |
Topics Covered |
|
Algebra |
Definitions of A. P. and G.P. General term Summation of first n terms of series ∑n, ∑n²,∑n3 Arithmetic/Geometric series A.M., G.M. and their relation Infinite G.P. series and its sum |
|
Logarithms |
Definition General properties Change of base |
|
Matrices |
Concepts of m x n (m ≤ 3, n ≤ 3) real matrices Operations of addition, scalar multiplication and multiplication of matrices Transpose of a matrix Determinant of a square matrix Properties of determinants (statement only) Minor, cofactor and adjoint of a matrix Nonsingular matrix Inverse of a matrix Finding area of a triangle Solutions of system of linear equations (Not more than 3 variables) |
|
Trigonometry |
Trigonometric functions Addition and subtraction formulae Formulae involving multiple and submultiple angles General solution of trigonometric equations Properties of triangles Inverse trigonometric functions and their properties |
|
Coordinate geometry |
Distance formula Section formula Area of a triangle Condition of collinearity of three points in a plane Polar coordinates Transformation from Cartesian to polar coordinates and vice versa Parallel transformation of axes Concept of locus Elementary locus problems Slope of a line Equation of lines in different forms Angle between two lines Condition of perpendicularity and parallelism of two lines Distance of a point from a line Distance between two parallel lines Lines through the point of intersection of two lines Equation of a circle with a given center and radius Condition that a general equation of second degree in x, y may represent a circle Equation of a circle in terms of endpoints of a diameter Equation of tangent, normal and chord Parametric equation of a circle Intersection of a line with a circle Equation of common chord of two intersecting circles |
|
3-Dimensional Co-ordinate geometry |
Direction cosines and direction ratios Distance between two points and section formula Equation of a straight line Equation of a plane Distance of a point from a plane |
|
Theory of Calculus |
Functions Composition of two functions and inverse of a function Limit Continuity Derivative Chain rule Derivative of implicit functions and functions defined parametrically Integration as a reverse process of differentiation Indefinite integral of standard functions Integration by parts Integration by substitution and partial fraction Definite integral as a limit of a sum with equal subdivisions Fundamental theorem of integral calculus and its applications Properties of definite integrals Formation of ordinary differential equations Solution of homogeneous differential equations Separation of variables method Linear first order differential equations |
|
Application of Calculus |
Tangents and normals Conditions of tangency Determination of monotonicity Maxima and minima Differential coefficient as a measure of rate Motion in a straight line with constant acceleration Geometric interpretation of definite integral as area Calculation of area bounded by elementary curves and Straight lines Area of the region included between two elementary curves |
|
Permutation and combination |
Permutation of n different things taken r at a time (r ≤ n) Permutation of n things not all different Permutation with repetitions (circular permutation excluded) Combinations of n different things taken r at a time (r ≤ n) Combination of n things not all different Basic properties Problems involving both permutations and combinations |
|
Statistics and Probability |
Measure of dispersion Mean Variance and standard deviation Frequency distribution Addition and multiplication rules of probability Conditional probability and Bayes’ Theorem Independence of events Repeated independent trails Binomial distribution |