ISI Admission Test Syllabus 2023: Indian Statistical Institute abbreviated as ISI is situated in Kolkata. ISI has released the notification for the admission test. The ISI Admission Exam 2023 will be conducted on 14th May 2023. The candidates who have filled out the application form and are now preparing for the admission test must read this article further. Here we are focussing to provide you with detailed information about ISI 2023 Admission Test Syllabus, Entrance Exam question papers and exam pattern.
ISI Admission Test Syllabus 2023
For admission to the Indian Statistical Institute 2023, Kolkata candidates must be preparing for the entrance exam. This is the right time to make your path for preparing for the entrance exam. You can read further to know more about the ISI Admission Test Syllabus, and the previous year’s question papers which are uploaded as PDFs on the official website https://www.isical.ac.in/. The candidates can visit the link to prepare for their admission test. At the end of the article, links are provided which will directly take you to the official page and from there you can download the PDF from the link given there.
Indian Statistical Institute Admission Test 2023 Overview
|Name of the Institute||Indian Statistical Institute ISI|
|Conducting Body||Indian Statistical Institute|
|Exam Organised||Once a year|
|Language of Exam||English|
|Courses Offered||B Stat (Hons), B Math (Hons), M Stat, M Math, MS (QE), MS (QMS), MS (LIS), M Tech (CS), M Tech (CrS), M Tech (QROR), PG Diplomas and Research Fellowships|
|Website for Previous Question Papers||https://www.isical.ac.in/~admission/Syllabus-And-QP.html|
ISI Entrance Exam 2023 Course-wise Syllabus
Dear Candidates, while preparing for ISI Entrance Exam 2023, try not to miss out on any topic. To make sure you have gone through every subject and topic needed for the entrance exam, read the article further for ISI Admission Test Syllabus
For Section A Multiple Type Questions topics are as follows:
- Analytical reasoning
- Elementary Euclidean Geometry and Trigonometry
- Elements of set Theory- Functions and relations, Permutations and combinations, Principle of inclusion and exclusion, Pigeon-hole principle
- Theory of equations, Inequalities
- Elementary number- theory, divisibility, congruences, primality
- Determinants, matrices, solutions of linear equations, vector spaces, linear independence, dimension, rank and inverse
- Limits, continuity, sequences and series, differentiation and integration with applications, maxima-minima
- Probability – Combinatorial probability, Conditional probability, Discrete random variables and expectation, Binomial distribution
For Section B Course wise, Subjective type questions :
B.Stat, B Math
|Algebra||Arithmetic, geometric and harmonic progression. Continued fractions. Elementary combinatorics: Permutations and combinations, Binomial theorem. Theory of equations. Inequalities. Complex numbers and De Moivre’s theorem. Elementary set theory. Functions and relations. Elementary number theory: Divisibility, Congruences, Primality. Algebra of matrices. Determinant, rank and inverse of a matrix. Solutions of linear equations. Eigenvalues and eigenvectors of matrices. Simple properties of a group.|
|Geometry||Straight lines, circles, parabolas, ellipses and hyperbolas|
|Calculus||Sequences and series: Power series, Taylor and Maclaurin series. Limits and continuity of functions of one variable. Differentiation and integration of functions of one variable with applications. Definite integrals. Maxima and minima. Functions of several variables – limits, continuity, differentiability. Double integrals and their applications. Ordinary linear differential equations.|
|Mathematics||Arithmetic, geometric and harmonic progressions. Trigonometry. Two-dimensional coordinate geometry: Straight lines, circles, parabolas, ellipses, and hyperbolas. Elementary set theory. Functions and relations. Elementary combinatorics: Permutations and combinations, Binomial and multinomial theorem. Theory of equations.|
Complex numbers and De Moivre’s theorem.
Vector spaces. Determinant, rank, trace, and inverse of a matrix. System of linear equations. Eigenvalues and eigenvectors of matrices.
Limit and continuity of functions of one variable. Differentiation and integration. Applications of differential calculus, maxima, and minima.
|Statistics and Probability||Notions of sample space and probability. Combinatorial probability. Conditional probability and independence. Bayes Theorem. Random variables and expectations. Moments and moment-generating functions. Standard univariate discrete and continuous distributions. Distribution of functions of a random variable. Distribution of order statistics. Joint probability distributions. Marginal and conditional probability distributions. Multinomial distribution. Bivariate normal and multivariate normal distributions.|
Sampling distributions of statistics. Statement and applications of Weak law of large numbers and Central limit theorem.
Descriptive statistical measures. Pearson product-moment correlation and Spearman’s rank correlation. Simple and multiple linear regression.
Elementary theory of estimation (unbiasedness, minimum variance, sufficiency). Methods of estimation (maximum likelihood method, method of moments). Tests of hypotheses (basic concepts and simple applications of Neyman-Pearson Lemma). Confidence intervals. Inference related to regression.
Basic experimental designs such as CRD, RBD, LSD, and their analyses. ANOVA. Elements of factorial designs. Conventional sampling techniques (SRSWR/SRSWOR) include stratification.
|Analysis and metric spaces||Countable and uncountable sets|
Equivalence relations and partitions
Convergence and divergence of sequences and series
Cauchy sequence and completeness
Continuity, uniform continuity, differentiability, Taylor Expansion
Partial and directional derivatives, Jacobians
Sequence and series of functions
Elements of ordinary differential equations
Integral calculus of one variable – the existence of Riemann integral
Fundamental theorem of calculus, change of variable, improper integrals
Elementary topological notions for metric spaces – open, closed, and compact sets of continuous functions, completeness of metric spaces.
|Linear algebra and abstract algebra||Vector spaces, subspaces, basis, dimension, direct sum|
Matrices, systems of linear equations, determinants
Diagonalization, triangular forms
Inner product spaces
Linear transformations and their representation as matrice
Groups, subgroups, quotient groups, homomorphisms, products
Lagrange’s theorem, Sylow’s theorems
Rings, ideals, maximal ideals, prime ideals, quotient rings
Integral domains, Chinese remainder theorem, polynomial rings, fields.
|Elementary probability theory||Combinatorial probability, events, random variables, independence, expectation, and variance|
|Microeconomics||Theory of consumer behaviour, Theory of production, Market structure under perfect competition, Monopoly, Price discrimination, Duopoly with Cournot and Bertrand competition, Public goods, Externalities, General equilibrium, Welfare economics, Ricardian trade model, Heckscher-Ohlin trade model (factor price equalization theorem, Stolper-Samuelson theorem, and Rybczynski theorem)|
|Macroeconomics||National income accounting, the Simple Keynesian model of income determination and the multiplier, the IS-LM Model, models of aggregate demand and aggregate supply, Money, Banking and inflation, the Phillips curve, Elementary open economy macroeconomics, the Harrod-Domar Model, and the Solow Model.|
- Matrix Algebra
M.S. (CS & CrS) & M.TECH (QROR)
- Analytical Reasoning
- Coordinate geometry
- Elementary discrete probability theory
- Trigonometric functions and identities
PG DIPLOMA in Statistical Methods & Analytics, Applied Statistics (Online)
- Coordinate geometry
PG DIPLOMA in Agricultural and Rural Management with Statistical Methods & Analytics
Theory of consumer behaviour, Theory of production, Market structure under perfect competition, Monopoly, Price discrimination, Duopoly with Cournot and Bertrand competition, Public goods, Externalities, General equilibrium, Welfare economics, Ricardian trade model, Heckscher-Ohlin trade model (factor price equalization theorem, Stolper-Samuelson theorem, and Rybczynski theorem).
ISI Entrance Exam 2023 Highlights
|Name of Exam||ISI Entrance Exam 2023|
|Exam Date||14 May, 2023|
|Exam Duration||4 Hours |
2 hours each given to both the papers
|Exam Pattern||Section A: Multiple Choice Questions (MCQs)|
Section B: Short Answer Questions
|Total Marks||100 Marks |
70 Marks Section A
30 Marks SectionB
|Subject||Mathematics of UG level for Section A|
For Section B
Electrical & Electronics Engineering & Engineering and Technology
Tips and Tricks to Prepare for ISI Entrance Test 2023
The candidates are required to prepare well for the entrance exam to get admission to Indian Statistical Institute, Kolkata. To prepare well for the exam read below the tips and tricks for the preparation.
- The candidates are required to prepare a timetable which they can follow every day.
- There is no need to sit for the whole day in front of the books. Study only when your mind is fresh. Set a study time when you feel you can study.
- Write down your syllabus in a table to read the topics easily. This will help you keep a record of the topic done and left.
- Once you are done with the preparation, solve the previous year’s question paper. This will help you a lot to know about the pattern of the exam which you will notice at the time of the exam in the examination centre.
- To know more about how to prepare you can also refer to the youtube video.
I hope this article serves the best to you. All the best for your exam. Prepare well and do well.
ISI Admission Test Syllabus 2023 PDF: Important Links
|Check Here||ISI Admission Test Syllabus 2023 PDF|
Previous Years Sample Paper
|Check More Updates||Bihar News Homepage|
Frequently Asked Questions
Does ISI pay students?
Yes, ISI pays some amount as a stipend to the students of B.Stat, M.Stat, M.Tech and Diploma students. The stipend amount ranges from Rs.2000/- to Rs. 8000/-.
Is ISI easy to crack?
No, it is not easy to qualify for the ISI exam. ISI is considered one of the toughest exams in India.
How many times can I attempt the ISI exam?
There is no limit to the number of attempts to get admission to the Indian Statistical Institute.