CSIR NET Mathematics December 2025 Syllabus with Complete Unit-Wise Topics

 

CSIR NET syllabus 2025 covers a wide range of topics essential for advanced mathematical research and teaching. One of the smartest strategies to crack the CSIR NET Mathematics Exam is to focus on topics that carry the most weight. Understanding topic-wise weightage helps you prioritize your study plan, maximize your score, and manage your time effectively. To get a good score in the exam, candidates need to study and learn all the topics in the course thoroughly.​

Overview of the CSIR NET 2025 Exam Structure

The CSIR NET Maths Exam for Junior Research Fellowship and Lecturership Eligibility is a single paper test with multiple choice questions (MCQs). The exam can be divided into three parts.

1.      Part A: This section will have 20 questions covering General Science, Quantitative Reasoning & Analysis, and Research Aptitude. Candidates must answer any 15 questions. Each question will be worth two marks. This segment is of 30 marks out of 200.

2.      Part B: This part will have 40 Multiple Choice Questions (MCQs) generally covering the topics given in the syllabus. Candidates must answer any 25 questions. Each question shall be of three marks. The total marks allocated to this section shall be 75 out of 200.

3.      Part C: Part C is the most challenging section and includes high-level, analytical, and research-oriented questions. The questions shall be of an analytical nature where a candidate is expected to apply scientific knowledge to solve the given scientific problem.  A candidate shall be required to answer any 20 questions. Each question shall be 4.75 marks. The total marks allocated to this section shall be 95 out of 200.


CSIR NET Mathematics December 2025 Syllabus

The Syllabus for CSIR NET Mathematics December 2025 remains aligned with previous years, but the trend shows a growing emphasis on depth of understanding and analytical thinking. Below is the refined, unit-wise breakdown.

1. Analysis

a)      Real Analysis:
Real Analysis is one of the most important sections of the syllabus and also one of the most scoring if prepared correctly. You will cover:

       Sequences, subsequences, and series

       Convergence tests and limit properties

       Continuity and uniform continuity

       Differentiability, Mean Value Theorem

       Riemann integration and improper integrals

       Sequences of functions and uniform convergence

Real Analysis questions often appear in both Parts B and C, especially those on convergence and integration.

b)     Complex Analysis:

This unit blends beauty and logic. Topics include:

       Analytic and harmonic functions

       Cauchy-Riemann equations

       Contour integration

       Cauchy's theorem and Cauchy's integral formula

       Taylor and Laurent series

       Residue theorem and its applications

Expect tough Part C questions involving residues, contour evaluation, or tricky series expansions.


2. Linear Algebra

Linear Algebra carries weight, reliability, and high scoring potential. The important areas are:

       Vector spaces, subspaces

       Basis, dimension, linear independence

       Linear transformations

       Matrices and determinants

       Eigenvalues and eigenvectors

       Cayley-Hamilton theorem

       Diagonalization and minimal polynomials

       Inner product spaces and orthogonality


3. Algebra (Abstract Algebra)

Abstract Algebra requires theoretical understanding but pays off well if you focus on core theorems. Topics include:

       Groups and subgroups

       Cyclic groups, permutation groups

       Cosets and Lagrange's theorem

       Normal subgroups and quotient groups

       Homomorphisms and isomorphism theorems

       Rings, ideals, ring homomorphisms

       Fields and field extensions

Group theory and ring theory problems often show up in conceptual Part C questions.


4. Ordinary Differential Equations (ODE)

This unit is fundamental for applied mathematics. Key topics:

       First-order differential equations

       Linear differential equations

       Power series solutions

       Systems of differential equations

       Sturm-Liouville boundary value problems

       Existence and uniqueness theorem


5. Partial Differential Equations (PDE)

A Partial Differential Equation, commonly denoted as PDE, is a differential equation containing partial derivatives of the dependent variable (one or more) with more than one independent variable.

       First-order PDE

       Classification: hyperbolic, parabolic, elliptic

       Method of characteristics

       Heat, wave, and Laplace equations

       Fourier series and boundary value techniques

This unit rewards strong conceptual clarity and practice with classical PDE methods.

6. Numerical Analysis

Numerical Analysis offers some scoring opportunities if you understand the procedures clearly. Topics include:

       Error analysis

       Iterative solutions of equations

       Interpolation

       Numerical differentiation and integration

       Numerical solutions of ODEs and PDEs

       Polynomial approximations

7. Integral Equations & Calculus of Variations

a)      Integral Equations

       Volterra and Fredholm equations

       Kernels, resolvent kernels

       Eigenfunction expansions

b)     Calculus of Variations

       Functionals

       Euler-Lagrange equations

       Isoperimetric problems

Though the weightage fluctuates, these topics often appear in Part B.


8. Topology

Topology questions are tricky but usually direct. Topics include:

       Topological spaces

       Bases, subbases

       Continuity

       Compactness and connectedness

       Metric spaces

Understanding definitions deeply will serve you well.

9. Probability & Statistics

       Probability spaces

       Random variables

       Expectation, variance

       Distributions

       Joint distributions

       Law of large numbers

       Central limit theorem

This unit typically contains a mix of direct and analytical questions.

Knowing the syllabus is not enough, you need a clear preparation strategy. Start by identifying your strongest and weakest areas. Build a schedule that allows slow, deep learning in the beginning and high intensity problem practice as the exam date approaches. Solve past papers, take mock tests, revise short notes weekly, and keep your fundamentals clean.

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