Latest Applications Open 2024:
IIT JAM 2024 Syllabus has been Released now. IIT JAM 2024 Exam is Conducted by IIT Guwahati. Those candidates appear to be studying for a master’s degree after completing their bachelor’s degree, so there is the best option for that aspirant to apply for this professional course. The Indian Institutes of Technology Joint Admission Test for Masters (IIT JAM) is a prestigious and highly competitive annual examination conducted annually for aspiring students seeking admission to various postgraduate programs in science and technology. This examination serves as a gateway to some of the premier institutions in India, including the Indian Institutes of Technology (IITs) and the Indian Institute of Science (IISc).
The IIT JAM syllabus is thoughtfully designed to assess candidates’ knowledge and aptitude in various scientific disciplines, including Physics, Chemistry, Mathematics, Biotechnology, Mathematical Statistics, and Geology. The syllabus is structured to evaluate candidates’ fundamental understanding, problemsolving skills, and analytical thinking in these subjects. The IIT JAM syllabus challenges candidates to demonstrate their expertise in their chosen field of study, covering a comprehensive array of topics and subtopics within each discipline.
It includes core concepts, theories, and practical applications that provide a strong foundation for advanced studies at the postgraduate level. It is a very reputed and best examination for qualified bachelor students, which will give them a master’s degree from this course and be higher qualified. Those Aspirants want to get admission to the IIT JAM, so there are two options: M.Sc. or Ph.D. and M.Sc.Ph.D. Dual Degree professional courses are offered for them.
IIT JAM 2024 Syllabus – Released
IIT JAM 2024 Syllabus has been Released for All Subjects (BT, CY, EN, GG, MA, MA, PH). Check Below
IIT JAM Syllabus 2024
The syllabus of the JAM is provided for the candidate who fills out the entrance exam IIT JAM 2024 Application. The candidate must know the syllabus information for better preparation for the exam. Candidates must know every syllabus and which subject they prefer for an exam.
The IIT JAM has a Syllabus of Chemistry, Biotechnology, Geology, Mathematics, Statistics, Physics, and Biological Science for Exam preparation.
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Downlaod Syllabus Subject Wise PDF of IIT JAM 2024
Here we are providing the list of all Subjects of the IIT JAM Syllabus for the student in sectionwise.
Biotechnology (BT)  Chemistry (CY) 
Geology (GG)  Mathematics (MA) 
Mathematical Statistics (MS)  Physics (PH) 
Biological Sciences (BL)  – 
How many attempts are there in IIT JAM?
There is no limit on the number of attempts to apply for the IIT JAM Entrance Exam.
Which institutes accept JAM score?
Various IITs and other institutes in India accept IIT JAM scores for admission to their M.Sc., integrated Ph.D., and other related programs.
IIT JAM Syllabus 2024 Biotechnology (BT)
The Biotechnology (BT) Test Paper comprises Biology, Chemistry,Mathematics and Physics.
BIOLOGY (10+2+3 level)
Cell Biology: Structure of prokaryotic and eukaryotic cells; Membrane structure and function; Organelles and internal organization of the eukaryotic cell Protein trafficking in a eukaryotic cell; Cell communication – signalling pathways: endocrine and paracrine signalling; Extracellular matrix and apoptosis; Cell cycle – stages of mitosis and meiosis, and control of cell division cycle.
Biochemistry: Structure and function of biological macromolecules; Allostery; Enzymes – basic mechanisms of enzyme catalysis, MichaelisMenten kinetics, enzyme inhibition, vitamins as coenzymes, and regulation; Bioenergetics – freeenergy change, highenergy compounds, biological oxidationreduction reactions and reduction potential; Metabolism – glycolysis, TCA cycle, oxidative phosphorylation, photosynthesis, nitrogen fixation, urea cycle, and 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 is the genetic material; DNA replication; Proofreading and repair of DNA; DNA recombination; Transcription; RNA processing; Translation; Regulation of gene expression including operons bacteria and differential gene expression in multicellular eukaryotes.
Evolution: Darwinian view – natural selection, fossil record and descent with modification; Population genetics – sources of genetic variation, gene pools and allele frequencies, Hardy Weinberg equation, genetic drift, gene flow and adaptive evolution; Different types of speciation; Phylogenetic classification; Origin of life – abiotic synthesis of biological macromolecules, protocell, dating fossils and origin of multicellularity.
Microbiology: Isolation; Cultivation; Structural features of viruses, bacteria, fungi and protozoa; Pathogenic microorganisms; Nutritionbased classification of microbes; Microbial metabolism; Growth kinetics; Submerged fermentation techniques; Microbial genetics.
BioTechnology
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, different developmental phases, genetic control of flowering, gametogenesis, incompatibility, embryogenesis, dormancy, germination and environmental influence; Plant hormones; Photobiology; Plant response to biotic and abiotic stresses.
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 and electron microscopy); Staining proteins with antibodies; Visualizations using the GFP reporter.
Biochemical techniques: UV spectrophotometry, Biomolecular chromatography, cell fractionation by centrifugation, Electrophoresis, and Western blotting.
Molecular biology techniques: DNA cloning – plasmid vectors and restriction enzymes; Polymerase Chain Reaction; Expression of cloned eukaryotic genes in bacteria; Hybridization techniques; DNA sequencing.
Chemistry (10+2+3 level)
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); and Chemical kinetics (zero and first order reactions).
Physical and chemical properties of compounds: Chemical catalysis; Acidbase concepts; Concepts of pH and buffer; Conjugative effects and resonance; Inductive effects; Electromeric effects; Photochemistry; and 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, UVVis, IR and 1D proton NMR spectroscopy; basics of mass spectrometry; Basics of calorimetry; Basic concepts of crystallography.
Mathematics (10+2 level)
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.
Probability: 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)
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, and Young’s experiment: Dual nature of radiation and matter; Atoms, nuclei and nuclear physics; Semiconductor materials, devices and simple circuits.
How many hours is IIT JAM?
The IIT JAM exam lasts three hours, with a total mark of 100. Candidates must hold a bachelor’s degree in science, engineering, or a related field to be eligible to apply for the exam.
What is the benefit of IIT JAM?
IIT JAM is the entrance exam for degree programs like Master of Science, Integrated PhD, Joint MSc – PhD, and MSc – PhD at IITs. It grants admission to these prestigious institutions based on a candidate’s performance in the exam.
Chemistry (CY)
Physical Chemistry
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 (including mathematical treatment); postulates of quantum mechanics, normalized and orthogonal wave functions its complex conjugate (the idea of complex numbers) and significance of Ѱ2; Operators; Particle in one dimension box, radial and angular wave functions for the hydrogen atom, radial probability distribution; Finding maxima of distribution functions (idea of maxima and minima), energy spectrum of hydrogen atom; Shapes of s, p, d and f orbitals; Pauli’s Exclusion Principle; Hund’s rule of maximum multiplicity.
Gaseous State:
Kinetic molecular model of a gas: collision frequency; collision diameter; mean free path and viscosity of gases; MaxwellBoltzmann distribution: molecular velocities, law of equipartition of energy, the molecular basis of heat capacities; Ideal gases, and deviations from ideal gas behaviour, van der Waals equation of state; critical state, law of corresponding states.
Liquid State:
Physical properties of Liquid, vapour pressure, surface tension and coefficient of viscosity and their applications; effect of concentration of solutes on surface tension and viscosity; effect of temperature on viscosity of liquids.
Solid State:
Unit Cells, Miller indices, crystal systems and Bravais Lattices; elementary applications of vectors to crystal systems; Xray diffraction, Bragg’s Law, Structure of NaCl, CsCl, and KCl, diamond, and graphite; Close packing in metals and metal compounds, semiconductors, insulators; Defects in crystals, lattice energy; isomorphism; heat capacity of solids.
Chemical Thermodynamics:
Mathematical treatment: Exact and inexact differentials, partial derivatives, Euler’s reciprocity, cyclic rule; Reversible and irreversible processes; Laws of thermodynamics, thermochemistry, thermodynamic functions, such as enthalpy, entropy, and Gibbs free energy, their properties and applications; Partial molar quantities, dependence of thermodynamic parameters on composition, Gibbs Duhem equation, chemical potential and its applications.
Chemical and Phase Equilibria:
Law of mass action; Kp, Kc, Kx and Kn; Effect of temperature on K; LeChatelier 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 twocomponent phase diagrams.
Electrochemistry:
Conductivity, equivalent and molar conductivity and their properties; Kohlrausch law; DebyeHückelOnsager equation; Ionic velocities, mobilities, transference numbers; Applications of conductance measurement; Quantitative aspects of Faraday’s laws of electrolysis, applications of electrolysis in metallurgy and industry; Electromotive force of a cell, Nernst equation; Standard electrode potential, Electrochemical series; Concentration cells with and without transference; Applications of EMF measurements including potentiometric titrations.
Chemical Kinetics:
Order and molecularity of a reaction, differential and integrated form of rate expressions – basic ideas of integration and differentiation; Kinetics of opposing, parallel, and consecutive reactions; Steady state approximation in reaction mechanisms; Chain reactions; Unimolecular reaction (Lindemann mechanism); Temperature dependence of reaction rates, Arrhenius equation; activation energy; Collision theory of reaction rates; Types of catalysts, specificity and selectivity, mechanisms of catalyzed reactions at solid surfaces; Enzyme catalysis (Michaelis Menten mechanism, Double reciprocal plot), Acidbase catalysis.
Adsorption:
Gibbs adsorption equation; adsorption isotherm; types of adsorption; surface area of adsorbents; surface films on liquids.
Spectroscopy:
BeerLambert’s law; fundamental concepts of rotational, vibrational, electronic and magnetic resonance spectroscopy.
Organic Chemistry
Basic Concepts in Organic Chemistry and Stereochemistry:
Electronic effects (resonance, inductive, hyperconjugation) and steric effects and their applications (acid/base property); optical isomerism in compounds with and without any stereocenters (allenes, biphenyls); conformation of acyclic systems (substituted ethane/n propane/nbutane) and cyclic systems, substituted cyclohexanes, and polycyclic (cis and trans decalins) systems.
Organic Reaction Mechanism and Synthetic Applications:
Chemistry of reactive intermediates (carbocations, carbanions, free radicals, carbenes, nitrenes, benzynes); nucleophilic substitution, elimination reactions and mechanisms; HofmannCurtius Lossen rearrangement, Wolff rearrangement, SimmonsSmith reaction, ReimerTiemann reaction, Michael reaction, Darzens reaction, Wittig reaction and McMurry reaction; Pinacolpinacolone, Favorskii, benzilic acid rearrangement, BaeyerVilleger reaction; oxidation and reduction reactions in organic chemistry; Organometallic reagents in organic synthesis (Grignard, organolithium, organocopper and organozinc (Reformatsky only); DielsAlder, electrocyclic and sigmatropic reactions; functional group interconversions and structural problems using chemical reactions.
Qualitative Organic Analysis:
Identification of functional groups by chemical tests; elementary UV, IR and 1H NMR spectroscopic techniques as tools for structural elucidation of simple organic molecules.
Natural Products Chemistry:
Chemistry of alkaloids, steroids, terpenes, carbohydrates, amino acids, peptides and nucleic acids.
Aromatic and Heterocyclic Chemistry:
Monocyclic, bicyclic and tricyclic aromatic hydrocarbons, and monocyclic compounds with one hetero atom: synthesis, reactivity and properties, aromaticity; Electrophilic and nucleophilic aromatic substitution reactions.
Inorganic Chemistry
Periodic Table
Periodic classification of elements, Aufbau’s principle, periodicity; Variations of orbital energy, effective nuclear charge, atomic, covalent, and ionic radii; ionization enthalpy, electron gain enthalpy, and electronegativity with atomic number, electronic configuration of diatomic molecules (first and secondrow elements).
Extractions of Metals:
General methods of isolation and purification of elements; Principles and applications of Ellingham diagram.
Chemical Bonding and shapes of molecules:
lonic bond: Packing of ions in crystals, radius ratio rule, BornLandé equation, Kapustinskii expression, Madelung constant, BornHaber cycle, solvation energy, polarizing power and polarizability; Fajan’s rules; Covalent bond: Lewis structure, valence bond theory. Hybridization, Molecular orbital theory, molecular orbital diagrams of diatomic and simple polyatomic molecules and ions; Multiple bonding (𝝈 and 𝝅 bond approach) and bond lengths; van der Waals forces, iondipole forces, dipoledipole interactions, induced dipole interactions, instantaneous dipoleinduced dipole interactions, hydrogen bonding; Effect of intermolecular forces on melting and boiling points, solubility energetics of dissolution process; Bond dipole, dipole moment, and molecular polarizabilities; VSEPR theory and shapes of molecules; ionic solids.
Main Group Elements (s and p blocks):
Reactions of alkali and alkaline earth metals with oxygen, hydrogen and water; Alkali and alkaline earth metals in liquid ammonia; Gradation in properties of main group element in a group; Inert pair effect; Synthesis, structure and properties of diborane, ammonia, silane, phosphine and hydrogen sulphide; Allotropes of carbon; Oxides of nitrogen, phosphorus and sulphur; Oxoacids of phosphorus, sulphur and chlorine; Halides of silicon and phosphorus; Synthesis and properties of borazine, silicone and phosphazene; Synthesis and reactions of xenon fluorides.
Transition Metals (d block):
Characteristics of dblock elements; oxide, hydroxide and salts of first row metals; coordination complexes: structure, isomerism, reaction mechanism and electronic spectra; VB, MO and crystal field theoretical approaches for structure, colour and magnetic properties of metal complexes; Organometallic compounds with metalligand single and multiple bonds (such as metal carbonyls, metal nitrosyls and metallocenes); Homogenous catalysis involving Wilkinson’s catalyst.
Bioinorganic Chemistry:
Essentials and trace elements of life; basic reactions in the biological systems; the role of metal ions, especially Fe2+ and Zn2+; structure and function of myoglobin, haemoglobin and carbonic anhydrase.
Instrumental Methods of Analysis:
Basic principles; instrumentations and simple applications of conductometry, potentiometry and UVvis spectrophotometry; analyses of water, air and soil samples.
Analytical Chemistry:
Principles of qualitative and quantitative analysis; Acidbase, oxidationreduction and complexometric titrations using EDTA; Precipitation reactions; Use and types of indicators; Use of organic reagents in inorganic analysis; Radioactivity, nuclear reactions, applications of isotopes; Mathematical treatment in error analysis, elementary statistics and probability theory.
What is the minimum percentage for IIT JAM?
The minimum qualification for IIT JAM can vary by category. Generally, candidates must have passed a bachelor’s degree with a minimum of 55% aggregate marks or an equivalent CGPA/CPI if they belong to the OBC/General/EWS category.
How many subjects are compulsory for IIT JAM?
For IIT JAM 2024, candidates must have completed a Bachelor’s degree in Geology, Biotechnology, Mathematics, Mathematical Statistics, Physics, and Chemistry. The exam typically consists of 60 questions for a total of 100 marks.
Economics (EN)
Microeconomics
Consumer theory: Preference, utility and representation theorem, budget constraint, choice, demand (ordinary and compensated), Slutsky equation, revealed preference axioms.
Theory of production and cost: Production technology, isoquants, production function with one or more inputs, returns to scale, shortrun and longrun costs, cost curves in the short run and long run.
General equilibrium and welfare: Equilibrium and efficiency under pure exchange and production, welfare economics, theorems of welfare economics.
Market structure: Perfect competition, monopoly, pricing with market power, price discrimination (first, second and third), monopolistic competition and oligopoly.
Game theory: Strategic form games, iterated elimination of dominated strategies, Nash equilibrium, mixed extension and mixed strategy Nash equilibrium, examples: Cournot, Bertrand duopolies, Prisoner’s dilemma.
Public goods and market failure: Externalities, public goods and markets with asymmetric information (adverse selection and moral hazard).
Microeconomics
Consumer theory: Preference, utility and representation theorem, budget constraint, choice, demand (ordinary and compensated), Slutsky equation, revealed preference axioms.
Theory of production and cost: Production technology, isoquants, production function with one and more inputs, returns to scale, short run and long run costs, cost curves in the short run and long run.
General equilibrium and welfare: Equilibrium and efficiency under pure exchange and production, welfare economics, theorems of welfare economics.
Market structure: Perfect competition, monopoly, pricing with market power, price discrimination (first, second and third), monopolistic competition and oligopoly.
Game theory: Strategic form games, iterated elimination of dominated strategies, Nash equilibrium, mixed extension and mixed strategy Nash equilibrium, examples: Cournot, Bertrand duopolies, Prisoner’s dilemma.
Public goods and market failure: Externalities, public goods and markets with asymmetric information (adverse selection and moral hazard).
Macroeconomics
National income accounting: Structure, key concepts, measurements, and circular flow of income – for closed and open economy, money, fiscal and foreign sector variables – concepts and measurements.
Behavioural and technological functions: Consumption functions – absolute income hypothesis, lifecycle and permanent income hypothesis, random walk model of consumption, investment functions – Keynesian, money demand and supply functions, production function.
Business cycles and economic models (closed economy): Business cyclesfacts and features, the Classical model of the business cycle, the Keynesian model of the business cycle, simple Keynesian cross model of income and employment determination and the multiplier (in a closed economy), ISLM Model, Hicks’ ISLM synthesis, role of monetary and fiscal policies.
Business cycles and economic models (open economy): Open economy, MundellFleming model, Keynesian flexible price (aggregate demand and aggregate supply) model, the role of monetary and fiscal policies.
Inflation and unemployment: Inflation – theories, measurement, causes, and effects; unemployment – types, measurement, causes, and effects.
Growth models: HarrodDomar, Solow and Neoclassical growth models (AK, Romer, and Schumpeterian growth models).
Statistics for Economics
Probability theory: Sample space and events, axioms of probability and their properties, conditional probability and Bayes’ rule, independent events, random variables and probability distributions, expectation, variance and higher order moments, functions of random variables, properties of commonly used discrete and continuous distributions, density and distribution functions for jointly distributed random variables, mean and variance of jointly distributed random variables, covariance and correlation coefficients.
Mathematical statistics: Random sampling, types of sampling, point and interval estimation, estimation of population parameters using methods of moments and maximum likelihood procedures, properties of estimators, sampling distribution, confidence intervals, central limit theorem, law of large numbers.
Hypothesis testing: distributions of test statistics, testing hypotheses related to population parameters, Type I and Type II errors, the power of a test, tests for comparing parameters from two samples.
Correlation and regression: Correlation and types of correlation, the nature of regression analysis, method of Ordinary Least Squares (OLS), CLRM assumptions, properties of OLS, goodness of fit, variance and covariance of OLS estimator.
Indian Economy
Indian economy before 1950: Transfer of tribute, deindustrialization of India.
Planning and Indian development: Planning models, relation between agricultural and industrial growth, challenges faced by Indian planning.
Indian economy after 1991: Balance of payments crisis in 1991, major aspects of economic reforms in India after 1991, trade and foreign investment reforms.
Banking, finance and macroeconomic policies: aspects of banking in India, CRR and SLR, financial sector reforms in India, fiscal and monetary policy, savings and investment rates in India.
Inequalities in social development: India’s achievements in health, education and other social sectors, disparities between Indian States in human development.
Poverty: Methodology of poverty estimation, Issues in poverty estimation in India. India’s labour market: unemployment, labour force participation rates.
Mathematics for Economics
Preliminaries and functions: Set theory and number theory, elementary functions: quadratic, polynomial, power, exponential, logarithmic, functions of several variables, graphs and level curves, convex set, concavity and quasiconcavity of function, convexity and quasiconvexity of functions, sequences and series: convergence, algebraic properties and applications, complex numbers and its geometrical representation, De Moivre’s theorem and its application.
Differential calculus: Limits, continuity and differentiability, mean value theorems, Taylor’s theorem, partial differentiation, gradient, chain rule, second and higher order derivatives: properties and applications, implicit function theorem, and application to comparative statics problems, homogeneous and homothetic functions: characterisations and applications.
Integral calculus: Definite integrals, fundamental theorems, indefinite integrals and applications.
Differential equations and difference equations: Firstorder difference equations, firstorder differential equations and applications.
Linear algebra: Matrix representations and elementary operations, systems of linear equations: properties of their solution, linear independence and dependence, rank, determinants, eigenvectors and eigenvalues of square matrices, symmetric matrices and quadratic forms, definiteness and semidefiniteness of quadratic forms.
Optimization: Local and global optima: geometric and calculusbased characterisations and applications, multivariate optimization, constrained optimization and method of Lagrange multiplier, second order condition of optima, definiteness and optimality, properties of value function: envelope theorem and applications, linear programming: graphical solution, matrix formulation, duality, economic interpretation.
Geology (GG)
The Planet Earth: Origin of the Solar System and the Earth; Geosphere and the composition of the Earth; Shape and size of the Earth; EarthMoon 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 crosssection construction; Classification and origin of folds, faults, joints, unconformities, foliations and lineations; Stereographic and equalarea projections of planes and lines; Numerical problems related to outcrop and borehole 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 rockforming minerals; Elements of Optical Mineralogy, Optical properties of common rockforming 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 nonmetallic 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.
Mathematics (MA)
Real Analysis:
Sequences and Series of Real Numbers: convergence of sequences, bounded and monotone sequences, Cauchy sequences, BolzanoWeierstrass 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, termwise 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, CauchyEuler equation.
Linear Algebra and Algebra:
Matrices: systems of linear equations, rank, nullity, ranknullity theorem, inverse, determinant, eigenvalues, eigenvectors.
Finite Dimensional Vector Spaces: linear independence of vectors, basis, dimension, linear transformations, matrix representation, range space, null space, ranknullity theorem.
Groups: cyclic groups, abelian groups, nonabelian groups, permutation groups, normal subgroups, quotient groups, Lagrange’s theorem for finite groups, group homomorphisms.
Mathematical Statistics (MS)
The Mathematical Statistics (MS) Test Paper comprises the following topics of Mathematics (about 30% weight) and Statistics (about 70% weight).
Mathematics
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 nonnegative terms. Tests for convergence and divergence of a series. Comparison test, limit comparison test, D’Alembert’s ratio test, Cauchy’s 𝒏𝒕𝒉 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, Lebnitz’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 inflexion. 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. Lebnitz’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). Lebnitz’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 and Skew Symmetric matrices, Hermitian and Skew Hermitian matrices, Orthogonal and Unitary matrices, Idempotent and Nilpotent matrices). Definition, properties and applications of determinants. Evaluation of determinants using transformations. Determinant of the product of matrices. Singular and nonsingular matrices and their properties. Trace of a matrix. Adjoint and inverse of a matrix and related properties. The rank of a matrix, rowrank, columnrank, standard theorems on ranks, the 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 a 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.
Statistics
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 (inclusionexclusion 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 expectations 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 the 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 is 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, 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 𝒓𝒕𝒉 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 and continuous distributions). Central Chisquare distribution: Definition and derivation of p.d.f. of central 𝜒2 distribution with 𝑛 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 𝒕distribution: Definition and derivation of p.d.f. of Central Student’s 𝑡distribution with 𝑛 d.f., Properties and limiting form of central 𝑡distribution.
Snedecor’s Central 𝑭distribution: Definition and derivation of p.d.f. of Snedecor’s Central 𝐹distribution with (𝑚, 𝑛) d.f.. Properties of Central 𝐹distribution, distribution of the reciprocal of 𝐹 𝐹distribution. Relationship between 𝑡, 𝐹 and 𝜒2 distributions.
Estimation: Unbiasedness. Sufficiency of a statistic. Factorization theorem. Complete statistic. Consistency and relative efficiency of estimators. Uniformly Minimum variance unbiased estimator (UMVUE). RaoBlackwell and LehmannScheffe theorems and their applications. CramerRao 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), TypeI and TypeII errors. Critical region. Level of significance, size and power of a test, pvalue. Most powerful critical regions and most powerful (MP) tests. Uniformly most powerful (UMP) tests. Neyman Pearson Lemma (without proof) and its applications to constructing MP and UMP tests for the parameter of single parameter parametric families. Likelihood ratio tests for parameters of univariate normal distribution.
Physics (PH)
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. Firstorder equations and linear secondorder 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 nonconservative forces. System of particles, Center of mass, equation of motion of the CM, conservation of linear and angular momentum, conservation of energy, and 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, continuity equation, 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, travelling 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. BiotSavart 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 triatomic gases. Ideal gas, vanderWaals 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 quasistatic processes. Second law and entropy. Carnot cycle. Maxwell’s thermodynamic relations and simple applications. Thermodynamic potentials and their applications. Phase transitions and ClausiusClapeyron equation. Ideas of ensembles, Maxwell Boltzmann, FermiDirac and BoseEinstein distributions.
Modern Physics: Inertial frames and Galilean invariance. Postulates of special relativity. Lorentz transformations. Length contraction, time dilation. Relativistic velocity addition theorem, massenergy equivalence. Blackbody radiation, photoelectric effect, Compton effect, Bohr’s atomic model, Xrays. Waveparticle duality, Uncertainty principle, the superposition principle, calculation of expectation values, Schrödinger equation and its solution for one, two and threedimensional boxes. Solution of Schrödinger equation for the onedimensional 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. Xray diffraction and Bragg’s law; Intrinsic and extrinsic semiconductors, variation of resistivity with temperature. Fermi level. pn junction diode, IV characteristics, Zener diode and its applications, BJT: characteristics in CB, CE, CC modes. Singlestage amplifier, twostage RC coupled amplifiers. Simple Oscillators: Barkhausen condition, sinusoidal oscillators. OPAMP and applications: Inverting and noninverting 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; a combination of gates; de Morgan’s theorem.
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IIT JAM 2024 Syllabus FAQs
In which mode is IIT JAM conducted?
IIT JAM is conducted in the online mode.
What is the medium of language for IIT JAM exam?
IIT JAM is conducted in English medium.
What is the total duration for the IIT JAM exam?
IIT JAM is conducted for a total duration of 3 hours.
How many questions are there in the IIT JAM exam?
There are a total of 60 questions in IIT JAM.
Which sections are there in the IIT JAM exam?
There are three sections in the IIT JAM exam: Section A, B, and C.
How many questions are there in each section of IIT JAM?
There are 30 questions in Section A, 20 in Section B, and 10 in Section C in IIT JAM.
What type of questions will be asked in IIT JAM?
For IIT JAM, Section A consists of Multiple Choice Questions (MCQs), Section B consists of Multiple Select Questions (MSQs), and Section C consists of Numerical Answer Type (NAT) questions.
How many marks will be awarded for correct answers in IIT JAM?
For Section A in IIT JAM, 1 or 2 marks will be awarded for each correct answer, and for Sections B and C, two marks will be awarded for each correct answer.
Is there negative marking in IIT JAM?
For Section A in IIT JAM, 1/3rd marks will be deducted for 2mark questions if answered incorrectly. For Sections B and C, there is no negative marking.
What are the total marks for IIT JAM exam?
IIT JAM is conducted for a total of 100 marks.
What are the IIT JAM subjects for 2024?
IIT JAM 2024 will be conducted for seven subjects: Physics (PH), Chemistry (CY), Mathematics (MA), Mathematical Statistics (MS), Biotechnology (BT), Economics (EN), and Geology (GG).
What are the 7 subjects of IIT JAM?
The seven subjects of IIT JAM are Biotechnology, Economics, Physics, Chemistry, Mathematics, Mathematical Statistics, and Geology. The exam pattern is the same for all these subjects.
Is IIT JAM more difficult than GATE?
IIT JAM and GATE serve different purposes. GATE primarily tests engineering and technology knowledge, making it more challenging for engineering graduates. On the other hand, IIT JAM focuses on basic sciences and is considered slightly easier, but it still requires thorough preparation and subject understanding.
Is IIT JAM a difficult exam?
IIT JAM is considered one of the toughest competitive entrance exams. It covers various subjects in the basic sciences and requires rigorous preparation and a strong conceptual understanding of the subjects.
What is the qualification for IIT JAM eligibility?
The minimum qualification for IIT JAM eligibility varies depending on the subject. Generally, candidates must have completed a Bachelor’s degree (B.Sc. or BS) with a major subject related to the specific JAM paper they intend to appear for.
Which subject is relatively easier in IIT JAM?
The difficulty level of IIT JAM subjects can vary from year to year. However, some candidates may find Chemistry and Geology relatively easier than subjects like Mathematics, Physics, or Biotechnology.
Is IIT JAM only for MSc?
No, IIT JAM is not only for M.Sc. It is the nationallevel exam for admission to various postbachelor degree and dual degree programs at IITs. It is also the gateway for admission to integrated Ph.D. programs at the Indian Institute of Science (IISc) and IITs.
If students have any queries regarding IIT JAM Syllabus 2024, they can ask us by commenting below.
As a dedicated Biology Science graduate, I’m passionate about sharing the latest updates in national and state entrance exams through my blog. I aim to keep aspiring students informed about exam trends, important dates, and changes in syllabi. With a keen interest in education, I strive to offer valuable insights for students navigating the competitive landscape of entrance examinations and admission tests. Stay updated with me.
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