IIT JAM Syllabus 2026, Download Subject-Wise Syllabus PDF, Topics

IIT JAM Syllabus 2026, Download Subject-Wise Syllabus PDF, Topics

Edited By Anapally Rajesh | Updated on Feb 05, 2025 10:43 AM IST | #JAM

IIT JAM Syllabus 2026 - It is recommended that students studying for the Joint Admission Test for Masters exam review the IIT JAM 2026 syllabus in order to improve their exam scores. Admission to MSc programmes will be determined on the results of the IIT JAM exam. Key subjects that will be included in the test are included in the IIT JAM syllabus 2026.

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  1. IIT JAM Syllabus 2026
  2. What is the Syllabus of IIT JAM 2026?
  3. IIT JAM Syllabus 2026: Subject Wise
  4. Is IIT JAM Syllabus 2026 PDF Available?
  5. Best Books for IIT JAM 2026 Preparation
IIT JAM Syllabus 2026, Download Subject-Wise Syllabus PDF, Topics
IIT JAM Syllabus 2026, Download Subject-Wise Syllabus PDF, Topics

Candidates can easily download the IIT JAM 2026 syllabus PDF on the official website. Syllabus for economics, mathematical statistics, biotechnology, mathematics, chemistry, geology, and physics are all covered in the IIT JAM 2026 syllabus. The themes, topics, and subtopics of the IIT JAM 2026 can be checked in the syllabus. Candidates who qualify for the exam will get admission to MSc programmes at IIT JAM participating universities. Read the complete article to know more about the IIT JAM syllabus 2026.

IIT JAM Syllabus 2026

When preparing for admission to postgraduate studies at IITs and IISc, the IIT JAM 2026 entrance exam syllabus is quite important. It is crucial to fully understand each of the IIT JAM 2026 subjects syllabus listed, as well as the topics and subtopics that are covered. All seven disciplines are covered in full in the IIT JAM 2026 syllabus PDF download, which guarantees that candidates are knowledgeable about the material they must study. The previous year, the IIT JAM entrance exam curriculum was expanded to include the topic of economics. For the upcoming IIT JAM 2026 exam, prospective candidates must keep up with any changes or revisions made to the syllabus.

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What is the Syllabus of IIT JAM 2026?

The JAM exam syllabus 2026 is divided into three different sections - A, B, and C. Students need to frequently review the IIT JAM exam subjects if they want to improve their exam scores. Chemistry, physics, mathematics, biotechnology, geology, economics, and mathematical statistics are among the subjects offered. The IIT JAM 2026 syllabus pdf can be used by candidates to practice covering all of the key exam topics.

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In order to be eligible for admission to the participating universities, students can prepare for the entrance exam by studying the IIT JAM exam 2026 subject-wise syllabus. Chemistry, physics, biotechnology, mathematics, geology, and mathematics are among the subjects offered by IIT JAM. This article provides a subject-by-subject list of the JAM exam syllabus.

IIT JAM Syllabus 2026: Subject Wise

The IIT JAM subject list 2026, as well as the topics and subtopics will be included in the JAM exam syllabus. It is crucial to become familiar with all of the topics and subtopics for each IIT JAM subject list 2026 because the question paper covers a wide range of subjects.

The official website for the IIT JAM 2026 syllabus is widely accessible to students. This will enable you to study more efficiently and perform better on the IIT JAM exam 2026. Candidates might increase their chances of scoring well on the IIT JAM 2026 exam by thoroughly studying each topic and subtopic inside each of the exam subjects. Students should prioritize the IIT JAM 2026 syllabus PDF download to enhance the preparation.

IIT JAM Physics Syllabus 2026

The syllabus encompasses various topics, including Electricity and Magnetism. Some of the sub-topics under this section are the law of Coulomb, the law of Gauss, and others. Students can check the IIT JAM physics syllabus in the table below.

IIT JAM 2026 Physics Syllabus

Topic

Subtopics

Mathematical Methods

Calculus of single and multiple variables; partial derivatives; Jacobian; imperfect and perfect differentials; Taylor expansion; Fourier series.

Vector algebra; Vector Calculus; Multiple integrals; Divergence theorem; Green’s theorem; Stokes’ theorem.

First order equations and linear second-order differential equations with constant coefficients.

Matrices and determinants; Algebra of complex numbers.

Mechanics and General Properties of Matter

Newton’s laws of motion and applications; Velocity and acceleration in Cartesian, polar and cylindrical coordinate systems; uniformly rotating frame; centrifugal and Coriolis forces; Motion under a central force; Kepler’s laws; Gravitational Law and field; Conservative and non-conservative forces.

System of particles; Center of mass; equation of motion of the CM; conservation of linear and angular momentum; conservation of energy; variable mass systems.

Elastic and inelastic collisions.

Rigid body motion; fixed axis rotations; rotation and translation; moments of Inertia and products of Inertia; parallel and perpendicular axes theorem.

Principal moments and axes.

Kinematics of moving fluids; equation of continuity; Euler’s equation; Bernoulli’s theorem.

Oscillations, Waves and Optics

Differential equation for simple harmonic oscillator and its general solution; Superposition of two or more simple harmonic oscillators; Lissajous figures.

Damped and forced oscillators; resonance.

Wave equation; traveling and standing waves in one dimension.

Energy density and energy transmission in waves.

Group velocity and phase velocity.

Sound waves in media; Doppler Effect.

Fermat’s Principle; General theory of image formation; Thick lens, thin lens and lens combinations.

Interference of light; optical path retardation.

Fraunhofer diffraction; Rayleigh criterion and resolving power; Diffraction gratings.

Polarization: linear, circular, and elliptic polarization; Double refraction and optical rotation.

Electricity and Magnetism

Coulomb’s law; Gauss’s law; Electric field and potential; Electrostatic boundary conditions; Solution of Laplace’s equation for simple cases.

Conductors, capacitors, dielectrics; dielectric polarization; volume and surface charges; electrostatic energy.

Biot-Savart law; Ampere’s law; Faraday’s law of electromagnetic induction; Self and mutual inductance.

Alternating currents; Simple DC and AC circuits with R, L, and C components.

Displacement current; Maxwell’s equations and plane electromagnetic waves; Poynting’s theorem; reflection and refraction at a dielectric interface; transmission and reflection coefficients (normal incidence only).

Lorentz Force and motion of charged particles in electric and magnetic fields.

Kinetic Theory, Thermodynamics

Elements of Kinetic theory of gases; Velocity distribution and Equipartition of energy; Specific heat of Mono-, di- and tri-atomic gases; Ideal gas, van-der-Waals gas and equation of state.

Mean free path; Laws of thermodynamics: Zeroth law and concept of thermal equilibrium; First law and its consequences; Isothermal and adiabatic processes; Reversible, irreversible and quasi-static processes.

Second law and entropy; Carnot cycle; Maxwell’s thermodynamic relations and simple applications; Thermodynamic potentials and their applications.

Phase transitions and Clausius-Clapeyron equation; Ideas of ensembles, Maxwell Boltzmann, Fermi-Dirac and Bose-Einstein distributions.

Modern Physics

Inertial frames and Galilean invariance; Postulates of special relativity; Lorentz transformations; Length contraction, time dilation; Relativistic velocity addition theorem; mass energy equivalence.

Blackbody radiation, photoelectric effect, Compton effect, Bohr’s atomic model, X-rays.

Wave-particle duality, Uncertainty principle, the superposition principle, calculation of expectation values, Schrödinger equation and its solution for one, two and three-dimensional boxes.

Solution of Schrödinger equation for the one-dimensional harmonic oscillator; Reflection and transmission at a step potential, Pauli exclusion principle.

Structure of atomic nucleus; mass and binding energy; Radioactivity and its applications; Laws of radioactive decay.

Solid State Physics, Devices and Electronics

Crystal structure, Bravais lattices and basis; Miller indices; X-ray diffraction and Bragg's law.

Intrinsic and extrinsic semiconductors, variation of resistivity with temperature; Fermi level.

p-n junction diode, I-V characteristics, Zener diode and its applications.

BJT: characteristics in CB, CE, CC modes.

Single stage amplifier, two-stage R-C coupled amplifiers.

Simple Oscillators: Barkhausen condition, sinusoidal oscillators.

OPAMP and applications: Inverting and non-inverting amplifier.

Boolean algebra: Binary number systems; conversion from one system to another system; binary addition and subtraction.

Logic Gates AND, OR, NOT, NAND, NOR, exclusive OR; Truth tables; combination of gates; de Morgan’s theorem.


IIT JAM Chemistry Syllabus 2026

Physical, organic, and inorganic chemistry are the three topics covered in the IIT JAM exam paper. The specific IIT JAM chemistry syllabus for each subject is outlined below. The IIT JAM chemistry syllabus is available in PDF format on the official website.

IIT JAM 2026 Chemistry Syllabus

Topic

Subtopics

Transition Metals (d block)

Characteristics of d-block Elements, Coordination Complexes, Isomerism, Reaction Mechanism, VB, MO, and Crystal Field Theoretical Approaches, Organometallic Compounds, Homogeneous Catalysis

Spectroscopy

Beer-Lambert’s Law, Rotational Spectroscopy, Vibrational Spectroscopy, Electronic Spectroscopy, Magnetic Resonance Spectroscopy

Solid State

Unit Cells, Miller Indices, Crystal Systems, Bravais Lattices, Applications of Vectors to Crystal Systems, X-ray Diffraction, Bragg’s Law, Structure of NaCl, CsCl, KCl, Diamond, Graphite, Close Packing in Metals and Metal Compounds, Semiconductors, Insulators, Defects in Crystals, Lattice Energy, Isomorphism, Heat Capacity of Solids

Qualitative Organic Analysis

Identification of Functional Groups by Chemical Tests, Elementary UV, IR, and 1H NMR Spectroscopic Techniques

Periodic Table

Periodic Classification of Elements, Aufbau’s Principle, Periodicity, Orbital Energy, Effective Nuclear Charge, Atomic/Covalent/Ionic Radii, Ionization Enthalpy, Electron Gain Enthalpy, Electronegativity, Electronic Configuration of Diatomic Molecules

Organic Reaction Mechanism and Synthetic Applications

Chemistry of Reactive Intermediates (Carbocations, Carbanions, Free Radicals, Carbenes, Nitrenes, Benzynes), Nucleophilic Substitution, Elimination Reactions, Hofmann-Curtius-Lossen Rearrangement, Wolff Rearrangement, Simmons-Smith Reaction, Reimer-Tiemann Reaction, Michael Reaction, Darzens Reaction, Wittig Reaction, McMurry Reaction, Pinacol-Pinacolone Rearrangement, Oxidation and Reduction Reactions, Organometallic Reagents in Organic Synthesis, Diels-Alder Reactions, Functional Group Inter-conversions

Natural Products Chemistry

Chemistry of Alkaloids, Steroids, Terpenes, Carbohydrates, Amino Acids, Peptides, Nucleic Acids

Main Group Elements (s and p blocks)

Reactions of Alkali and Alkaline Earth Metals, Inert Pair Effect, Diborane, Ammonia, Silane, Phosphine, Oxides of Nitrogen, Phosphorus, Sulphur, Allotropes of Carbon, Oxoacids of Phosphorus/Sulphur/Chlorine, Xenon Fluorides, Borazine, Silicone, Phosphazene

Liquid State

Physical Properties of Liquids, Vapour Pressure, Surface Tension, Coefficient of Viscosity and Applications, Effect of Concentration of Solutes on Surface Tension and Viscosity, Effect of Temperature on Viscosity of Liquids

Instrumental Methods of Analysis

Principles, Instrumentation, Applications of Conductometry, Potentiometry, UV-Vis Spectrophotometry

Gaseous State

Kinetic Molecular Model of a Gas, Collision Frequency, Collision Diameter, Mean Free Path, Viscosity of Gases, Maxwell-Boltzmann Distribution, Molecular Velocities, Law of Equipartition of Energy, Molecular Basis of Heat Capacities, Ideal Gases, Deviations from Ideal Gas Behavior, Van der Waals Equation of State, Critical State, Law of Corresponding States

Extractions of Metals

General Methods of Isolation and Purification of Elements, Ellingham Diagram

Electrochemistry

Conductivity, Equivalent and Molar Conductivity, Kohlrausch Law, Debye-Hückel-Onsager Equation, Ionic Velocities, Mobilities, Transference Numbers, Applications of Conductance Measurement, Faraday’s Laws of Electrolysis, Electrolysis in Metallurgy and Industry, Electromotive Force of a Cell, Nernst Equation, Standard Electrode Potential, Electrochemical Series, Concentration Cells with and without Transference, EMF Measurements Including Potentiometric Titrations

Chemical Thermodynamics

Exact and Inexact Differentials, Partial Derivatives, Euler’s Reciprocity, Cyclic Rule, Reversible and Irreversible Processes, Laws of Thermodynamics, Thermochemistry, Thermodynamic Functions (Enthalpy, Entropy, Gibbs Free Energy), Partial Molar Quantities, Dependence of Thermodynamic Parameters on Composition, Gibbs-Duhem Equation, Chemical Potential and Its Application

Chemical Kinetics

Order and Molecularity of a Reaction, Differential and Integrated Forms of Rate Expressions, Kinetics of Opposing, Parallel, and Consecutive Reactions, Steady State Approximation in Reaction Mechanisms, Chain Reactions, Uni-Molecular Reaction (Lindemann Mechanism), Temperature Dependence of Reaction Rates, Arrhenius Equation, Activation Energy, Collision Theory of Reaction Rates, Types of Catalysts, Enzyme Catalysis, Acid-Base Catalysis

Chemical Bonding and Shapes of Molecules

Ionic Bond, Covalent Bond (Lewis Structure, Valence Bond Theory, Hybridization, Molecular Orbital Theory), Multiple Bonding, Intermolecular Forces, VSEPR Theory, Bond Dipole and Dipole Moment, Effect on Melting and Boiling Points, Solubility Energetics

Chemical and Phase Equilibria

Law of Mass Action, Kp, Kc, Kx, Kn, Effect of Temperature on K, Le-Chatelier Principle, Ionic Equilibria in Solutions, pH and Buffer Solutions, Salt Hydrolysis, Solubility and Solubility Product, Acid-Base Titration Curves, Indicators, Dilute Solutions, Raoult’s and Henry’s Laws and Their Applications, Colligative Properties, Gibbs Phase Rule, Phase Equilibria, Single and Two Component Phase Diagrams

Bioinorganic Chemistry

Essentials and Trace Elements of Life, Role of Metal Ions (Fe²⁺, Zn²⁺), Structure and Function of Myoglobin, Hemoglobin, Carbonic Anhydrase

Basic Concepts in Organic Chemistry and Stereochemistry

Electronic Effects (Resonance, Inductive, Hyperconjugation), Steric Effects, Optical Isomerism, Conformation of Acyclic and Cyclic Systems, Substituted Ethane/Propane/Butane, Substituted Cyclohexanes, Polycyclic Systems

Atomic and Molecular Structure

Planck’s Black Body Radiation, Photoelectric Effect, Bohr’s Theory, de Broglie Postulate, Heisenberg’s Uncertainty Principle, Schrödinger’s Wave Equation, Postulates of Quantum Mechanics, Normalized and Orthogonal Wave Functions, Complex Conjugate of Wave Function, Significance of Ѱ², Operators, Particle in One-Dimension Box, Radial and Angular Wave Functions for Hydrogen Atom, Radial Probability Distribution, Finding Maxima of Distribution Functions, Energy Spectrum of Hydrogen Atom, Shapes of s, p, d, and f Orbitals, Pauli’s Exclusion Principle, Hund’s Rule of Maximum Multiplicity

Aromatic and Heterocyclic Chemistry

Monocyclic, Bicyclic, and Tricyclic Aromatic Hydrocarbons, Monocyclic Compounds with One Heteroatom, Synthesis, Reactivity, Aromaticity, Electrophilic and Nucleophilic Aromatic Substitution

Analytical Chemistry

Qualitative and Quantitative Analysis, Acid-Base, Oxidation-Reduction, Complexometric Titrations, Precipitation Reactions, Indicators, Organic Reagents in Inorganic Analysis, Radioactivity, Error Analysis, Elementary Statistics and Probability Theory

Adsorption

Gibbs Adsorption Equation, Adsorption Isotherm, Types of Adsorption, Surface Area of Adsorbents, Surface Films on Liquids

IIT JAM Biotechnology Syllabus 2026

The biotechnology exam will cover four subjects: Biology, Chemistry, Physics, and Mathematics. Students can easily check the IIT JAM biotechnology syllabus in the table below.

IIT JAM 2026 Biotechnology Syllabus

BIOLOGY (10+2+3 level)

Topic

Subtopics

Cell Biology

Structure of prokaryotic and eukaryotic cells, Membrane structure and function, Organelles and internal organization of eukaryotic cells, Protein trafficking in a eukaryotic cell, Cell communication – signalling pathways (endocrine, paracrine signalling), Extracellular matrix and apoptosis, Cell cycle – stages of mitosis and meiosis, control of cell division cycle

Biochemistry

Structure and function of biological macromolecules, Allostery, Enzymes – basic mechanisms of enzyme catalysis, Michaelis-Menten kinetics, enzyme inhibition, vitamins as coenzymes and regulation, Bioenergetics – free-energy change, high-energy compounds, biological oxidation-reduction reactions and reduction potential, Metabolism – glycolysis, TCA cycle, oxidative phosphorylation, photosynthesis, nitrogen fixation, urea cycle, regulation of glycolysis and TCA cycle

Genetics

Mendel’s laws, Inheritance patterns of polygenic traits, Mendelian inheritance patterns of human disorders, Pedigree analysis, Chromosomal basis of inheritance, Genetic recombination, Mapping genes on chromosomes based on linkage analysis, Plant breeding

Molecular Biology

Landmark experiments that established DNA as the genetic material, DNA replication, Proof-reading and repair of DNA, DNA recombination, Transcription, RNA processing, Translation, Regulation of gene expression (operons in bacteria, differential gene expression in multicellular eukaryotes)

Evolution

Darwinian view – natural selection, fossil record, descent with modification, Population genetics – sources of genetic variation, gene pools and allele frequencies, Hardy-Weinberg equation, genetic drift, gene flow, adaptive evolution, Types of speciation, Phylogenetic classification, Origin of life – abiotic synthesis of biological macromolecules, protocell, dating fossils, origin of multicellularity

Microbiology

Isolation, Cultivation, Structural features of viruses, bacteria, fungi, protozoa, Pathogenic microorganisms, Nutrition-based classification of microbes, Microbial metabolism, Growth kinetics, Submerged fermentation techniques, Microbial genetics

Plant Biology

Types of tissues and organs, Primary and secondary growth, Morphogenesis, Transport in vascular plants, Plant nutrition, Development of flowering plants – gametophytic and sporophytic generations, developmental phases, genetic control of flowering, gametogenesis, incompatibility, embryogenesis, dormancy, germination, environmental influence, Plant hormones, Photobiology, Plant response to biotic and abiotic stress

Animal Biology

Digestive, circulatory, respiratory, excretory, nervous, reproductive, and endocrine systems, Basics of immunology – Innate and adaptive immunity, Immune cells and Immunoglobulins, Animal development – Fertilization, embryonic pattern formation, cleavage, gastrulation, cellular differentiation, and morphogenesis

Ecology

Climate patterns, Terrestrial and aquatic biomes, Environmental constraints on species distribution, Factors affecting population density, Interactions among communities, Ecosystems, Ecological remediation

Biotechnology

Plant tissue culture, Cloning of animals through somatic cell nuclear transfer, Applications of recombinant DNA technology in medicine, agriculture, and forensic science

Methods in Biology

Cell Biology: Microscopy (light microscopy, electron microscopy), Staining proteins with antibodies, Visualizations using the GFP reporter; Biochemical Techniques: UV spectrophotometry, Biomolecular chromatography, Cell fractionation by centrifugation, Electrophoresis, Western blotting; Molecular Biology Techniques: DNA cloning (plasmid vectors, restriction enzymes), Polymerase Chain Reaction, Expression of cloned eukaryotic genes in bacteria, Hybridization techniques, DNA sequencing


CHEMISTRY (10+2+3 level)

Topic

Subtopics

Structure and Properties of Atoms

Bohr's Theory, Periodicity in Properties

Bonding in Molecules

Chemical Bonding, Complex Formation, Physical and Chemical Basis of Molecular Interactions

Chemical Kinetics, Thermodynamics, and Equilibrium

Chemical Equilibrium, Chemical Thermodynamics (First and Second Law), Chemical Kinetics (Zero and First Order Reactions)

Physical and Chemical Properties of Compounds

Chemical Catalysis, Acid-Base Concepts, Concepts of pH and Buffer, Conjugative Effects and Resonance, Inductive Effects, Electromeric Effects, Photochemistry, Electrochemistry

Chemistry of Organic Compounds

Hydrocarbons, Alkyl Halides, Alcohols, Aldehydes, Ketones, Carboxylic Acids, Amines and Their Derivatives, Aromatic Hydrocarbons, Halides, Nitro and Amino Compounds, Phenols, Diazonium Salts, Carboxylic and Sulphonic Acids, Soaps and Detergents, Stereochemistry of Carbon Compounds

Instrumental Techniques - Spectroscopy

Fundamentals of Molecular Spectroscopy, Emission and Absorption Spectroscopy, UV-Vis, IR and 1-D Proton NMR Spectroscopy, Basics of Mass Spectrometry, Basics of Calorimetry, Basic Concepts of Crystallography


MATHEMATICS (10+2 level)

Topic

Subtopics

Sets; Relations and Functions

Mathematical Induction; Logarithms; Complex numbers; Linear and Quadratic equations; Sequences and Series; Trigonometry; Cartesian System of Rectangular Coordinates; Straight lines and Family; Three Dimensional Geometry; Permutations and Combinations; Binomial Theorem; Vectors; Matrices and Determinants; Boolean Algebra; Functions; Limits and Continuity; Differentiation; Ordinary Differential Equations; Application of Derivatives; Integration as inverse process of differentiation; Definite and indefinite integrals; Methods of Integration; Integration by parts.

Statistics

Measures of dispersion; Mean Deviation for grouped and ungrouped data; Variance and Standard Deviation; and Analysis of Frequency Distribution.

Statistics

Random Experiments; Event; Axiomatic Approach to Probability; Conditional Probability and its properties; Multiplication Theorem on Probability; Independent Events; Bayes’ Theorem; Random Variables and its Probability Distributions; Bernoulli Trails and Binomial Distributions.


PHYSICS (10+2 level)

Topic

Subtopics

Units and measurements

Motion in one and two dimensions; Laws of motion; Work and kinetic energy; Conservation of energy; System of particles and rotational motion; Mechanical properties of solids and fluids; Thermal properties of matter; Heat and laws of thermodynamics; Kinetic theory of gases; Electric charge and field; Electric potential and capacitance; Current, resistance and simple circuits; Moving charges and magnetic field; Magnetism and matter; Electromagnetic induction; Electromagnetic waves; Alternating currents; Optics: Geometrical Optics – Reflection by spherical mirrors, Refraction at spherical surfaces and lenses, Total internal reflection and Optical instruments; Wave optics – Reflection and refraction of plane waves, Interference, Diffraction, Polarization

Wave optics

Reflection and refraction of plane waves, Interference, Diffraction, Polarization, and Young’s experiment: Dual nature of radiation and matter; Atoms, nuclei and nuclear physics; Semiconductor materials, devices and simple circuits.

IIT JAM Geology Syllabus 2026

The IIT JAM Geology 2026 syllabus will cover a wide range of topics including planet earth, geomorphology, and others. To get a better understanding, candidates can refer to the following table.

IIT JAM 2026 Geology Syllabus

Topic

Subtopics

The Planet Earth

Origin of the Solar System and the Earth; Geosphere and the composition of the Earth; Shape and size of the Earth; Earth-Moon system; Dating rocks and age of the Earth; Volcanism and volcanic landforms; Interior of the Earth; Earthquakes; Earth’s magnetism and gravity; Isostasy; Basic elements of Plate Tectonics; Orogenic cycles.

Geomorphology

Weathering and erosion; Soil formation; Transportation and deposition by wind, ice, river, sea, and resulting landforms.

Structural Geology

Orientation of planes and lines in space – concept of dip, strike, rake, and plunge. Contour lines; Rule of ‘V’s and outcrop patterns; Interpretation of geological maps and cross-section construction; Classification and origin of folds, faults, joints, unconformities, foliations, and lineations; Stereographic and equal-area projections of planes and lines; Numerical problems related to outcrop and bore-hole data.

Paleontology

Major steps in the evolution of life forms; Fossils, their mode of preservation and utility in age determination and paleoenvironmental interpretations; Morphology, major evolutionary trends, and ages of important groups of animals – Brachiopoda, Mollusca, Trilobita, Graptolitoidea, Anthozoa, Echinodermata; Gondwana plant fossils; Elementary idea of vertebrate fossils in India.

Stratigraphy

Principles of stratigraphy; Litho-, Chrono- and biostratigraphic classification; Stratigraphic correlation techniques; Archaean cratons of Peninsular India (Dharwar, Singhbhum and Aravalli); Proterozoic mobile belts; Stratigraphy of Cuddapah and Vindhyan basins; Stratigraphy of Paleozoic – Mesozoic of Spiti and Kashmir, Gondwana Supergroup, Jurassic of Kutch, Cretaceous of Trichinopoly, Tertiary and Quaternary sequences of Assam, Bengal, and Siwaliks.

Mineralogy

Symmetry and forms in common crystal classes; Physical properties of minerals; Isomorphism, polymorphism, solid solution and exsolution; Classification of minerals; Structure of silicates; Mineralogy of common rock-forming minerals; Elements of Optical Mineralogy, Optical properties of common rock-forming minerals.

Petrology

Definition and classification of rocks; Igneous rocks – forms of igneous bodies; Processes of evolution and diversification of magma; Classification, association, and genesis of common igneous rocks. Sedimentary rocks – classification, texture, and structure; Petrology of sandstone and limestone; Elements of sedimentary environments and facies. Metamorphic rocks – classification and texture; Types of metamorphism; Controls on metamorphism – pressure, temperature, and fluids; Concept of projections – ACF, AKF, and AFM diagrams; Phase Rule and its applications; Concepts of zones and facies, Characteristic mineral assemblages of pelites in the Barrovian zones and mafic rocks in common facies.

Economic Geology

Physical properties of common economic minerals; General processes of formation of mineral deposits; Mode of occurrence and distribution of metallic and non-metallic mineral deposits in India; Fundamentals of reserve calculation; Elements of coal and hydrocarbon geology, Coal and hydrocarbon occurrences in India.

Applied Geology

Groundwater and hydrological cycle, Types of aquifers, porosity, and permeability; Principles of engineering geology; Geological considerations in construction of dams and tunnels.

IIT JAM Mathematics Syllabus 2026

Some of the key topics covered in the IIT JAM exam syllabus are Linear Algebra, Calculus, and Group Theory. These topics are recommended for candidates to prepare from the IIT JAM syllabus Mathematics pdf free download. Students can easily check the IIT JAM mathematics syllabus in the table below.

IIT JAM 2026 Mathematics Syllabus

Real Analysis

Topic

Subtopics

Sequences and Series of Real Numbers

Convergence of sequences, bounded and monotone sequences, Cauchy sequences, Bolzano-Weierstrass theorem, absolute convergence, tests of convergence for series (comparison test, ratio test, root test), Power series (of one real variable), radius and interval of convergence, term-wise differentiation and integration of power series

Functions of One Real Variable

Limit, continuity, intermediate value property, differentiation, Rolle’s Theorem, mean value theorem, L'Hospital rule, Taylor's theorem, Taylor’s series, maxima and minima, Riemann integration (definite integrals and their properties), fundamental theorem of calculus

Multivariable Calculus and Differential Equations

Functions of Two or Three Real Variables

Limit, continuity, partial derivatives, total derivative, maxima and minima

Integral Calculus

Double and triple integrals, change of order of integration, calculating surface areas and volumes using double integrals, calculating volumes using triple integrals

Differential Equations

Bernoulli’s equation, exact differential equations, integrating factors, orthogonal trajectories, homogeneous differential equations, method of separation of variables, linear differential equations of second order with constant coefficients, method of variation of parameters, Cauchy-Euler equation

Linear Algebra and Algebra

Matrices

Systems of linear equations, rank, nullity, rank-nullity theorem, inverse, determinant, eigenvalues, eigenvectors

Finite Dimensional Vector Spaces

Linear independence of vectors, basis, dimension, linear transformations, matrix representation, range space, null space, rank-nullity theorem

Groups

Cyclic groups, abelian groups, non-abelian groups, permutation groups, normal subgroups, quotient groups, Lagrange's theorem for finite groups, group homomorphisms

IIT JAM Mathematical Statistics Syllabus 2026

The Mathematical Statistics (MS) Test Paper comprises the following topics of Mathematics (about 30% weight) and Statistics (about 70% weight). The topics and sub-topics covered in IIT JAM Mathematical Statistics are listed as follows:

IIT JAM 2026 Mathematical Statistics Syllabus

Topic

Subtopics

Sequences and Series of Real Numbers

Sequences of real numbers, their convergence, and limits.

Cauchy sequences and their convergence.

Monotonic sequences and their limits.

Limits of standard sequences.

Infinite series and its convergence, and divergence.

Convergence of series with non-negative terms.

Tests for convergence and divergence of a series: Comparison test, limit comparison test, D'Alembert’s ratio test, Cauchy’s root test, Cauchy’s condensation test, and integral test.

Absolute convergence of series.

Leibnitz’s test for the convergence of alternating series.

Conditional convergence.

Convergence of power series and radius of convergence.

Differential Calculus of One and Two Real Variables

Limits of functions of one real variable.

Continuity and differentiability of functions of one real variable.

Properties of continuous and differentiable functions of one real variable.

Rolle's theorem and Lagrange's mean value theorems.

Higher order derivatives, Leibnitz's rule and its applications.

Taylor's theorem with Lagrange's and Cauchy's form of remainders.

Taylor's and Maclaurin's series of standard functions.

Indeterminate forms and L'Hospital's rule.

Maxima and minima of functions of one real variable, critical points, local maxima and minima, global maxima and minima, and point of inflection.

Limits of functions of two real variables.

Continuity and differentiability of functions of two real variables.

Properties of continuous and differentiable functions of two real variables.

Partial differentiation and total differentiation.

Leibnitz's rule for successive differentiation.

Maxima and minima of functions of two real variables.

Critical points, Hessian matrix, and saddle points.

Constrained optimization techniques (with Lagrange multiplier).

Integral Calculus

Fundamental theorems of integral calculus (single integral).

Leibnitz's rule and its applications.

Differentiation under integral sign.

Improper integrals.

Beta and Gamma integrals: properties and relationship between them.

Double integrals.

Change of order of integration.

Transformation of variables.

Applications of definite integrals: Arc lengths, areas, and volumes.

Matrices and Determinants

Vector spaces with real field.

Subspaces and sum of subspaces.

Span of a set.

Linear dependence and independence.

Dimension and basis.

Algebra of matrices.

Standard matrices (Symmetric, Skew Symmetric, Hermitian, Skew Hermitian, Orthogonal, Unitary, Idempotent, Nilpotent).

Definition, properties, and applications of determinants.

Evaluation of determinants using transformations.

Determinant of product of matrices.

Singular and non-singular matrices and their properties.

Trace of a matrix.

Adjoint and inverse of a matrix and related properties.

Rank of a matrix, row-rank, column-rank, standard theorems on ranks, rank of the sum and the product of two matrices.

Row reduction and echelon forms.

Partitioning of matrices and simple properties.

Consistent and inconsistent system of linear equations.

Properties of solutions of system of linear equations.

Use of determinants in solution to the system of linear equations.

Cramer’s rule.

Characteristic roots and Characteristic vectors.

Properties of characteristic roots and vectors.

Cayley Hamilton theorem.

Probability

Random Experiments; Sample Space and Algebra of Events (Event space).

Relative frequency and Axiomatic definitions of probability.

Properties of probability function.

Addition theorem of probability function (inclusion exclusion principle).

Geometric probability.

Boole's and Bonferroni's inequalities.

Conditional probability and Multiplication rule.

Theorem of total probability and Bayes’ theorem.

Pairwise and mutual independence of events.

Univariate Distributions

Definition of random variables.

Cumulative distribution function (c.d.f.) of a random variable.

Discrete and Continuous random variables.

Probability mass function (p.m.f.) and Probability density function (p.d.f.) of a random variable.

Distribution (c.d.f., p.m.f., p.d.f.) of a function of a random variable using transformation of variable and Jacobian method.

Mathematical expectation and moments.

Mean, Median, Mode, Variance, Standard deviation, Coefficient of variation, Quantiles, Quartiles, Coefficient of Variation, and measures of Skewness and Kurtosis of a probability distribution.

Moment generating function (m.g.f.), its properties and uniqueness.

Markov and Chebyshev inequalities and their applications.

Standard Univariate Distributions

Degenerate, Bernoulli, Binomial, Negative binomial, Geometric, Poisson, Hypergeometric, Uniform, Exponential, Double exponential, Gamma, Beta (of first and second type), Normal and Cauchy distributions, their properties, interrelations, and limiting (approximation) cases.

Multivariate Distributions

Definition of random vectors.

Joint and marginal c.d.f.s of a random vector.

Discrete and continuous type random vectors.

Joint and marginal p.m.f., joint and marginal p.d.f..

Conditional c.d.f., conditional p.m.f. and conditional p.d.f..

Independence of random variables.

Distribution of functions of random vectors using transformation of variables and Jacobian method.

Mathematical expectation of functions of random vectors.

Joint moments, Covariance and Correlation.

Joint moment generating function and its properties.

Uniqueness of joint m.g.f. and its applications.

Conditional moments, conditional expectations and conditional variance.

Additive properties of Binomial, Poisson, Negative Binomial, Gamma, and Normal Distributions using their m.g.f..

Standard Multivariate Distributions

Multinomial distribution as a generalization of binomial distribution and its properties (moments, correlation, marginal distributions, additive property).

Bivariate normal distribution, its marginal and conditional distributions and related properties.

Limit Theorems

Convergence in probability, convergence in distribution and their interrelations.

Weak law of large numbers and Central Limit Theorem (i.i.d. case) and their applications.

Sampling Distributions

Definitions of random sample, parameter and statistic.

Sampling distribution of a statistic.

Order Statistics: Definition and distribution of the i-th order statistic (d.f. and p.d.f. for i.i.d. case for continuous distributions).

Distribution (c.d.f., p.m.f., p.d.f.) of smallest and largest order statistics (i.i.d. case for discrete as well as continuous distributions).

Central Chi-square distribution: Definition and derivation of p.d.f. of central χ2 distribution with k degrees of freedom (d.f.) using m.g.f..

Properties of central χ2 distribution, additive property and limiting form of central χ2 distribution.

Central Student's t-distribution: Definition and derivation of p.d.f. of Central Student's t-distribution with ν d.f., Properties and limiting form of central t-distribution.

Snedecor's Central F-distribution: Definition and derivation of p.d.f. of Snedecor's Central F-distribution with (ν1,ν2) d.f..

Properties of Central F-distribution, distribution of the reciprocal of F-distribution.

Relationship between t,χ2,F distributions.

Estimation

Unbiasedness.

Sufficiency of a statistic.

Factorization theorem.

Complete statistic.

Consistency and relative efficiency of estimators.

Uniformly Minimum variance unbiased estimator (UMVUE).

Rao-Blackwell and Lehmann-Scheffe theorems and their applications.

Cramer-Rao inequality and UMVUEs.

Methods of Estimation: Method of moments, method of maximum likelihood, invariance of maximum likelihood estimators.

Least squares estimation and its applications in simple linear regression models.

Confidence intervals and confidence coefficient.

Confidence intervals for the parameters of univariate normal, two independent normal, and exponential distributions.

Testing of Hypotheses

Null and alternative hypotheses (simple and composite), Type-I and Type-II errors.

Critical region.

Level of significance, size and power of a test, p-value.

Most powerful critical regions and most powerful (MP) tests.

Uniformly most powerful (UMP) tests.

Neyman Pearson Lemma (without proof) and its applications to construction of MP and UMP tests for parameters of single parameter parametric families.

Likelihood ratio tests for parameters of univariate normal distribution.

Is IIT JAM Syllabus 2026 PDF Available?

The JAM syllabus 2026 will be posted on IIT Delhi's official website. All of the courses offered at IIT JAM, including biotechnology, mathematics, physics, economics, chemistry, and mathematical statistics, will be covered in this IIT JAM entrance exam syllabus.

The syllabus is available on the JAM official website for interested students to see and download in PDF format. Candidates can learn more about each subject's themes by using the IIT JAM test syllabus PDF.

Best Books for IIT JAM 2026 Preparation

Selecting relevant study materials is essential for IIT JAM 2026 exam preparation. Choosing trustworthy sites that provide the greatest educational opportunities is crucial. Here is a list of the best books suggested for IIT JAM preparation 2026 to help with this. Even if there are many books written by different writers, it is crucial for applicants to select reliable materials for their study.

IIT JAM Preparation Books

Best Books for IIT JAM Geology 2026

Books

Authors

Hydrogeology

Todd and Karanth

Ground Water

H.M Ragunath

A Remote Sensing Geology

R.P Gupta

Structure Geology

Prof. Haakon Fasten

Igneous Petrology

M.K Bose

Optical Mineralogy

P.K Verma

Best Books for IIT JAM Chemistry 2026

Books

Authors

Surface Chemistry

A.Goel

Physical Chemistry

Peter Atkins and Julio De Paula

Solid State

Peter A W. Atkins

Introduction to Surface Chemistry and Catalysis

Gabor A. Somorjai

Organic Chemistry

Morrison and Boyd

An Introduction to Electrochemistry

Samuel Glasstone

Best Books for IIT JAM Mathematical Statistics 2026

Books

Authors

An Introduction to Probability and Statistics

V.K Rohatgi

Complete Resource Manual M.Sc Mathematics

Suraj Singh

Introduction to Mathematical Statistics

Robert V. Hogg and Craig McKean Hogg

Fundamental of Mathematical Statistics

S.C Gupta and V.K Kapoor

An Introduction to the theory of Statistics

Mod and Graybill

Calculus

Thomas and Finny

Vector Calculus

Murray R. Spiegel, A.R Vasishtha

Best Books for IIT JAM Biotechnology 2026

Books

Authors

Microbiology

Michael Pelczar Jr.

BioInformatics

Mount David W.

Basic Immunology

Abbas and Littmann

Molecular Cloning

Sambrook and Russel

Best Books for IIT JAM Physics 2026

Books

Authors

Mathematical Models for Physics and Engineering

Riley, Hobson, and Bence

Molecular and Atomic Physics

Rajkumar/ White

Classical Mechanics

Herbert Goldstein

Thermodynamics

Zemanski Dittman, Saha Srivastava/ F.W. Sears, and G.L. Salinger

Classical Mechanics

John. R. Taylor

Best Books for IIT JAM Mathematics 2026

Books

Authors

IIT JAM Mathematics

Neha Tyagi

Statistics

Murray and Spiegel

Fundamentals of Real Analysis

V.K. Krishnan

Mathematical Analysis

S.C Malik

Abstract Algebra

Bhattacharya, Jain, and Nagpal

Calculus

Thomas and Finny

Principle of Mathematical Analysis

Rudi

Geometry and Vectors

Vasishtha


IIT JAM Exam Pattern 2026 - Key Points

  1. The IIT JAM 2026 exam is an online computer-based test that consists of a total of seven subjects.

  2. The subjects included in the IIT JAM syllabus 2026 are Physics, Chemistry, Biotechnology, Mathematics, Mathematical Statistics, Economics and Geology.

  3. There are three sections in the IIT JAM 2026 syllabus: A, B, and C.

  4. There are thirty multiple-choice (MCQ) questions in Section A, and each question has a unique marking scheme. Twenty questions are for two marks each, and ten questions are worth one mark each.

  5. Only ten multiple-choice questions (MCQs) worth two marks each make up Section B of the IIT JAM syllabus 2026, which is less thorough than the other sections.

  6. Twenty numerical-type questions, ten worth one mark each and ten worth two, are also included in the IIT JAM entrance exam syllabus.

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The IIT JAM exam pattern states that there would be 60 questions in total, with a maximum score of 100.

Frequently Asked Questions (FAQs)

1. What are the subjects for IIT JAM examination 2026?

The subjects included in the IIT JAM syllabus2026 are Physics, Chemistry, Biotechnology, Mathematics, Mathematical Statistics, Economics and Geology.

2. When will the IIT JAM 2026 exam take place?

The IIT JAM examination will be held in February 2026 in online mode.

3. How can I obtain the detailed syllabus for my chosen subject in IIT JAM 2026?

To obtain the detailed syllabus for your chosen subject  you can visit the IIT JAM official website. You can click on the link for the syllabus of your chosen subject and download the document with the detailed syllabus.

4. How many papers are there in the IIT JAM exam syllabus 2026?

There are a total of seven papers in the IIT JAM entrance examination 2026.

5. How can I obtain the detailed IIT JAM syllabus for my chosen subject?

The detailed syllabus for IIT JAM 2026 for each subject will be found on the official website and in the information brochure provided by the organising institute for the specific year.

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Questions related to JAM

Have a question related to JAM ?

Congratulations on securing such a phenomenal rank...!!!

With 28.33 marks and AIR 1269 in JAM you have reasonable chance of securing admission in NITs and IISERs such as NIT Trichy, NIT Warangal , IISERs and NIT Surathkal.

To check if your rank of 2224 in JAM 2025 Math (GEN) is good enough for an NIT, it's important to look at the previous years' cutoffs and trends for Mathematics in various NITs. Generally, a rank like 2224 could allow admission to some NITs, especially in specific categories, but the chances depend heavily on the specific NIT and the course demand.

I would recommend checking the detailed JAM 2025 cutoff trends for Mathematics on the Careers360 website or consulting their JAM College Predictor to get a more precise idea based on recent data.

Hello,

To prepare for the IIT JAM Geology 2026 entrance exam , consider the following resources:

  1. Comprehensive Guides :

    • The IIT-JAM Breaker Series: Geology (2024) by Niloy Chakrabarti and Rohan Nandy offers solved papers from 2005-2023, practice sets, and model papers.
    • IIT-JAM M.Sc. Geology Entrance Exam Guide by Ajhar Hussain includes previous years' solved papers.
  2. Subject-Specific Books :

    • Structural Geology by Haakon Fossen provides in-depth coverage of structural geology concepts.
    • Optical Mineralogy by P.K. Verma focuses on mineral identification techniques.
    • Igneous Petrology by M.K. Bose covers the classification and genesis of igneous rocks.
    • Hydrogeology by Todd and Karanth explores groundwater studies.
    • Remote Sensing Geology by R.P. Gupta discusses remote sensing applications in geology.
  3. Practice Materials :

    • Numerical Problems in Geology GATE & JAM by Mrinal Shreshtha offers practice problems tailored for geology exams.
    • IIT JAM Geology (Volume Wise Solved Papers) by Eduncle provides solved papers organized by topic.

These resources will help you build a strong foundation and enhance your problem-solving skills for the exam.

Hope you find it useful !

The IIT JAM (Joint Admission Test for Masters) is held annually for admission to postgraduate science programs at IITs, IISc, and other top institutes. The exam includes seven subjects: Physics, Chemistry, Mathematics, Mathematical Statistics, Biotechnology, Geology, and Economics.


The official syllabus for IIT JAM 2026 hasn't been released yet, but it generally stays the same each year. Based on IIT JAM 2025, here’s a rough idea of what to expect:

Physics

Mathematical Methods

Mechanics, Waves, and Optics

Electricity & Magnetism

Thermodynamics & Statistical Physics

Modern Physics & Solid-State Physics

Chemistry

Physical, Inorganic, and Organic Chemistry topics

Mathematics

Calculus, Linear Algebra, Differential Equations

Real Analysis, Vector Calculus, Group Theory

Biotechnology

Concepts from Biology, Chemistry, Mathematics, and Physics

Geology

Earth Sciences, Paleontology, Petrology, Structural Geology

Mathematical Statistics

Probability, Random Variables, Matrices, and Statistical Inference

Since the syllabus may have minor changes, it's best to keep an eye on the official IIT JAM website for updates. If you're preparing, focusing on past papers and the latest syllabus from IITs will be the smartest approach!

If you haven't taken CUET, JAM, or GATE but still want to pursue an MSc in Data Science , consider applying to universities and colleges that offer admission based on your B.Sc. CS marks and may conduct their own entrance exams or interviews. Here are a few options to explore:


Central Universities:


Delhi University:

Offers MSc in Computer Science with a Data Science specialization, admissions are based on merit in your B.Sc. marks.


Jadavpur University:

Provides MSc in Data Science, with potential for admission based on merit and an interview.


Banaras Hindu University (BHU):

Offers MSc in Computer Science with a Data Science specialization, consider checking their admission criteria.


Private Universities:


Manipal Institute of Technology (MIT): Has a dedicated MSc in Data Science program with flexible admission criteria.

Christ University, Bangalore: Offers MSc in Data Science with a good reputation, check their admission process.

Amrita Vishwa Vidyapeetham: Provides MSc in Data Science, consider their merit-based admission.

State Universities:


University of Hyderabad:

Offers MSc in Computer Science with a focus on Data Science, check specific program details.


University of Pune:

Provides MSc in Computer Science with Data Science specialization, inquire about their admission process.


University of Madras:


Consider their MSc in Computer Science program for potential Data Science focus.


Important Points to Consider:


Check individual university websites:

Each institution has its own admission criteria, so carefully review their eligibility requirements and application process.


Contact the admissions office:

Reach out to the universities you are interested in to inquire about their admission process and if they offer any alternative pathways for admission without entrance exams.


Focus on your B.Sc. performance:

Ensure you have a strong academic record in your B.Sc. CS to enhance your application.


Highlight relevant skills:

Emphasize any data science skills you have acquired through projects, internships, or online courses in your application.


Prepare for potential interviews:

Some universities may conduct personal interviews as part of the admission process.


GOOD LUCK!!!

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