IIT JAM Syllabus 2023 varies depending on the courses chosen by the students. IIT, Roorkee will be the governing authority for the IIT Joint Admissions Test (IIT JAM 2023) for admission to the 2-year Master of Science and other postgraduate programs offered by IITs. Candidates who wish to integrate the integrated doctoral program offered by IISc will also be able to take this test. In this article, students can check the details of the IIT JAM 2023 program for all jobs.
The Indian Institute of Technology Joint Admission Test Examination Body will publish the JAM 2023 Syllabus on its official website. Candidates preparing for this entrance test should check out the IIT JAM 2023 syllabus.
According to previous year’s IIT JAM syllabus consists of 7 subjects in total, Biotechnology, Mathematics, Chemistry, Geology, Physics, Mathematical Statistics and Economics. The role model should not change, candidates can start preparing taking into account the role model of the previous year.
Mathematics for Economics Syllabus
| Names of Chapters | Topics |
|---|---|
| Preliminaries and Functions of one real variable | Integration, differential equations, and difference equations |
| Single-variable optimization | Linear programming |
| Linear algebra | Multivariate optimization |
| Functions of several real variables | — |
Indian Economy Syllabus
| Names of Chapters | |
|---|---|
| Indian economy before 1950 | India’s labour market |
| Planning and Indian development | Poverty |
| Indian economy after 1991 | Inequalities in social development |
| Banking, finance and macroeconomic policies | — |
Statistics for Economics Syllabus
| Topics |
|---|
| Probability theory, Sample spaces and events, Axioms of probability and their properties, conditional probability and Bayes’ rule, independent events |
| Random variables and probability distributions, probability distributions, expected values and functions of random variables, properties of commonly used discrete and continuous distributions |
| Random sampling, Density and distribution functions for jointly distributed random variables, computing expected values of jointly distributed random variables, covariance and correlation coefficients |
| Point and interval estimation, estimation of population parameters using methods of moments and maximum likelihood procedures, properties of estimators, confidence intervals |
| Hypothesis testing, distributions of test statistics, testing hypotheses related to population parame- 32 ters, Type I and Type II errors, the power of a test, tests for comparing parameters from two samples |
Macroeconomics Syllabus
| Names of Chapters | |
|---|---|
| National Income Accounting | Growth Models |
| Behavioral and Technological Functions | Inflation and Unemployment |
| Business Cycles and Economic Models | Business Cycles and Economic Models (Open Economy) |
Microeconomics Syllabus
| Names of Chapters | |
|---|---|
| Consumer theory | Public goods and market failure |
| Production, costs with perfectly competitive markets | Game theory |
| General equilibrium and welfare | Market structure |
IIT JAM Syllabus for Physics PH
| Names of Chapters | |
|---|---|
| Mathematical Methods | Simple Oscillators |
| Mechanics and General Properties of Matter | Modern Physics |
| Electricity and Magnetism | Thermodynamics |
IIT JAM Syllabus for Statistics
| Names of Chapters | |
|---|---|
| Probability | Testing of Hypotheses |
| Random Variables | Estimation |
| Standard Distributions | Limit Theorems |
| Joint Distributions | Sampling distributions |