ISI Admission Test 2019

ISI Admission Test 2019 Help Desk

EMail-ID

(i) M. Stat. degree from ISI or

(ii) MA/ M. Sc. or equivalent degree in Statistics or,

(iii) B. Stat./ B. Math. from ISI with outstanding maturity in Statistics, or

(iv) BA/ B.Sc, BE/B. Tech. or equivalent degree with Statistics as a subject and outstanding maturity in Statistics (Offered at Kolkata, Delhi, Bengaluru and Chennai).

(i) M. Stat./ M. Math. degree from ISI, or

(ii) MA/ M. Sc. or equivalent degree in Mathematics or,

(iii) ME/ M. Tech. degree or equivalent with Mathematics as a subject, or

(iv) B. Stat./ B. Math. degree from ISI with outstanding maturity in Mathematics, or

(v) BA/ B. Sc., BE/ B. Tech. or equivalent degree with Mathematics as a subject and outstanding maturity in Mathematics (Offered at Kolkata, Delhi, Bengaluru and Chennai).

(i) MS(QE)/ M. Stat. degree from ISI, or

(ii) MA /M. Sc. or equivalent degree in Statistics/ Mathematics/ Economics/ Econometrics or,

(iii) BA/ B. Sc. degree with Economics as a subject with outstanding mathematical maturity, or

(iv) BE/ B Tech degree with Economics and Mathematics/ Statistics as subjects (Offered at Kolkata and Delhi).

(i) ME/M.Tech. or equivalent degree in Electronics/ Telecommunication/Radio Physics/ Computer Science/ Electrical Engineering/ Microwave Communications/ Information Technology/ Bioinformatics/ Biotechnology with Mathematics as a subject, or

(ii) M. Stat./ M. Sc./ MCA/ MA or equivalent degree in Physics/ Mathematics/ Applied Mathematics/  Statistics/ Electronic Sciences/ Computer Science/ Atmospheric Science/ Information Technology/  Bioinformatics/ Biotechnology with Mathematics as a subject at the graduate level, or

(iii) BE/ B Tech or equivalent degree in the above subjects with Outstanding maturity in relevant subjects (Offered at Kolkata, Bengaluru and Chennai).

(i) M. Tech./ ME/ MS/ M. Phil. or equivalent degree in Quality/ Reliability/ Operations Research, or (ii) M. Stat. /M. Sc./ MA or equivalent degree in Mathematics/ Statistics/ Physics with Mathematics as a subject at the graduate level, or

(iii) BE/ B. Tech or equivalent degree in the above subjects with Outstanding maturity in relevant subjects (Offered at Kolkata, Delhi and Chennai).

For More Details on Eligibility - Click Here

ISI Admission Test 2019 Official Website

ISI Admission Test 2019 Information Brochure

ISI Admission Test 2019 Online Application Start Date

05 February 2019

ISI Admission Test 2019 Online Application End Date

15 March 2019 

ISI Admission Test 2019 Payment of Application Fee Start Date

07 February 2019

ISI Admission Test 2019 Payment of Application Fee End Date

19 March 2019

  ISI Admission Test 2019 Application Mode

Online - ISI Admission Test 2019 Online Application

Click Here for Application Procedure

Click Here for Payment Instructions

Code

Centre

Code

Centre

Code

Centre

AD

AHMEDABAD

DP

DURGAPUR

PU

PUNE

BG

BENGALURU

GH

GUWAHATI

RP

RAIPUR

BH

BHUBANESWAR

HY

HYDERABAD

RN

RANCHI

CC

KOLKATA

ID

INDORE

SC

SILCHAR

CH

CHANDIGARH

JP

JAIPUR

SG

SILIGURI

CN

CHENNAI

JS

JAMSHEDPUR

TZ

TEZPUR

CO

COCHIN

KN

KANPUR

VJ

VIJAYAWADA

CM

COIMBATORE

MB

MUMBAI

VN

VARANASI

DN

DEHRADUN

NG

NAGPUR

VP

VISAKHAPATNAM

DH

DELHI

PT

PATNA

-

ISI Admission Test 2019 Academic Programmes

Programme

Course

Duration

Centre

Degree Programmes

B Stat (Hons)

3 years

Kolkata

B Math (Hons)

3 years

Bengaluru

M Stat

2 years

Delhi

M Math

2 years

Bengaluru

MS (QE)

2 years

Delhi & Kolkata

MS (LIS)

2 years

Bengaluru

MS (QMS)

2 years

Bengaluru – Hyderabad

M Tech (CS)

2 years

Kolkata

M Tech (Cr S)

2 years

Kolkata

M Tech (QROR)

2 years

Kolkata

Diploma/Certificate

Part-time Course in SQC1

6 months

Bengaluru, Chennai,

Hyderabad

Postgraduate Diploma in

Statistical Methods & Analytics

1 year

Chennai & Tezpur

Postgraduate Diploma in

Computer Applications

1 year

Giridih

Postgraduate Diploma in Business Analytics

(jointly with IIT Kharagpur and IIM Calcutta)

2 years

Kolkata

Fellowship

 Junior/Senior Research Fellowship

Up To 6+1 years

Kolkata, Delhi, Bengaluru,

Chennai, Giridih

Name of the Subject

Name of the Centre

Statistics

Kolkata, Delhi, Bengaluru, Chennai

Mathematics

Kolkata, Delhi, Bengaluru

Quantitative Economics

Kolkata, Delhi

Computer Science

Kolkata, Bengaluru, Chennai

Quality, Reliability & Operations Research (QROR)

Kolkata, Bengaluru, Delhi, Chennai

 ISI Admission Test 2019 Research Programmes II

Physics and Applied Mathematics

Kolkata

Geology

Kolkata

Biological Science

Kolkata, Giridih (Jharkhand)

Library & Information Information Science

Bengaluru

ISI Admission Test 2019 Admit Card

Availability of Hall Ticket:

• Hall Ticket has been released & is available from 18 April 2019.

Download Procedure:

• Candidates should Log - into the ISI Admission Test 2019 Official Website 

• Click on ISI Admission 2019.

• Click on 'Online Application is OPEN'.

• Enter User Name, Password & Sign-In.

• Upon successful log-in, the hall ticket will be displayed on a screen.

• Download and take a printout.

ISI Admission Test 2019 Exam Pattern of Academic Programmes

Programme

Code

Forenoon

10:30 Hrs to 12:30 Hrs

Afternoon

14:00 hrs to 16:00 Hrs

Test Subject

Test

Type

Test

Code

Test Subject

Test

Type

Test

Code

B Stat

BSTK

Math

MCQ

UGA

Math

Descriptive

UGB

B Math

BMTB

Math

MCQ

UGA

Math

Descriptive

UGB

M Stat

MSTD

Math, Stat

MCQ

PSA

Math, Stat

Descriptive

PSB

M Math

MMTB

Math

MCQ

MMA

Math

Descriptive

PMB

MS(QE)

MQEK (Kolkata)

Math, Eco

MCQ

PEA

Math, Eco

Descriptive

PEB

MQED (Delhi)

MS (QMS)

MQMY

Math

MCQ

QMA

Math

Descriptive

QMB

MS (LIS)

MLIB

Quantitative and Reasoning Ability

MCQ

PLA

Essays and English Comprehension

Descriptive

PLB

M Tech

(CS)

MCSK

Math

MCQ

MMA

Math/Phys/

Stat/Engg/ Tech/ Comp Sc

Descriptive

PCB

M Tech

(Cr S)

MCYK

Math

MCQ

MMA

Math/Phys/

Stat/Engg/ Tech/ Comp Sc

Descriptive

PCB

M Tech

(QROR)

MQRK

Math

MCQ

MMA

Stat/Prob/

Math/Engg

Descriptive

PQB

PG Diploma in Statistical Methods & Analytics

DSTC

(Chennai)

Math

MCQ

DST

No Test

–

–

DSTT

(Tezpur)

PG Diploma in Computer Applications

DCAG

Math, Stat

MCQ

DCG

No Test

–

–

Programme

Centre

Code

Forenoon

10:30 hrs to 12:30 Hrs

Afternoon

14:00 hrs to 16:00 Hrs

Test

Subject

Test

Type

Test

Code

Test

Subject

Test

Type

Test

Code

Statistics

Kolkata

JSTK

Math, Stat

Descriptive

STA

Math, Stat

Descriptive

STB

Delhi

JSTD

Bengaluru

JSTB

Chennai

JSTC

Mathematics

Kolkata

JMTK

Math

Descriptive

MTA

Math

Descriptive

MTB

Delhi

JMTD

Bengaluru

JMTB

Quantitative Economics

Kolkata

JQEK

Math

Descriptive

QEA

Eco

Descriptive

QEB

Delhi

JQED

Computer Science

Kolkata

JCSK

Math

MCQ

MMA

Math/Stat/ Phys/ Electro, Elect Engg/ Comp Sc

Descriptive

CSB

Bengaluru

JCSB

Chennai

JCSC

Quality Reliability &      Operations Research

Kolkata

JQRK

Math

MCQ

MMA

Math, Stat,

OR,

SQC, Reliability, Quality Manage-ment & Systems

Descriptive

QRB

Delhi

JQRD

Chennai

JQRC

Bengaluru

JQRB

Physics &

Applied Mathematics

Kolkata

JPMK

Math

MCQ

MMA

Math, Phys

Descriptive

PHB

Biological Science

Kolkata

JAEK

Agri. Science

Basic Stat.

MCQ

AEA

Agri. Science

Basic Stat.

Descriptive

AEB

Giridih

JAEG

Geology

Kolkata

JGEK

Math, Geomath

MCQ

GEA

Geology

Descriptive

GEB

Library &

Information Science

Bengaluru

JLIB

Lib &

Info Sc

MCQ

LIA

Lib &

Info Sc

Descriptive

LIB

Mode

Offline

Medium

English

Duration

4 Hours ( 2 - 2 hour for each section)

Pattern

Section A - consists of Multiple Choice/ Descriptive Questions

Section B - Consists of Descriptive, Short Answer Questions

Question Type

Section A - Questions are of the undergraduate level.

Section B - Questions are from Mathematics, Statistics, Computer Science, Physics, and Engineering & Technology.

Total Marks

Section A - 70 Marks

Section B - 30 Marks

Marking Scheme

It's different for every course.

Analytical Reasoning

 M.Tech (CS), (Cr S) & (QRQR) MMA 

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.

Coordinate 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.

Elementary discrete probability theory

Combinatorial probability, Conditional probability, Bayes theorem. Binomial and Poisson distributions.

Group A

M.Tech Computer Science (CS) PCB

S. No

Topics

1.

Analytical Reasoning

2.

Elementary Euclidean geometry and trigonometry

3.

Elements of set theory, Functions and relations, Permutations and combinations, Principle of inclusion and exclusion, Pigeon-hole principle

4.

Theory of equations, Inequalities

5.

Elementary number theory, divisibility, congruences, primality

6.

Determinants, matrices, solutions of linear equations, vector spaces, linear independence, dimension, rank and inverse

7.

Limits, continuity, sequences and series, differentiation and integration with applications, maxima-minima

8.

Combinatorial probability, Conditional probability, Discrete random variables and expectation, Binomial distribution

Statistics

S. No

Topics

1.

Notions of sample space and probability, combinatorial probability, conditional probability, Bayes’ theorem and independence

2.

Random variable and expectation, moments, standard univariate discrete and continuous distributions, the sampling distribution of statistics based on normal samples, central limit theorem, an approximation of binomial to normal, Poisson law

3.

Multinomial, bivariate normal and multivariate normal distributions.

4.

Descriptive statistical measures, product-moment correlation, partial and multiple correlations.

5.

Regression – simple and multiple.

6.

Elementary theory and methods of estimation – unbiasedness, minimum variance, sufficiency, maximum likelihood method, a method of moments, least squares methods.

7.

Tests of hypotheses – basic concepts and simple applications of Neyman-Pearson lemma, confidence intervals.

8.

Tests of regression, elements of non-parametric inference, contingency tables and Chi-square, ANOVA, basic designs (CRD/RBD/LSD) and their analyses, elements of factorial designs.

9.

Conventional sampling techniques, ratio and regression methods of estimation

Engineering and Technology

S. No

Topics

1.

At least one of C, C++, Java, Python.

2.

Gravitation, moments of inertia, particle dynamics, elasticity, friction, the strength of materials, surface tension and viscosity.

3.

Laws of thermodynamics and heat engines.

4.

Electrostatics, magnetostatics and electromagnetic induction

5.

Laws of electrical circuits – transient and steady-state responses of resistive and reactive circuits.

6.

D.C. generators, D.C. motors, induction motors, alternators, transformers

7.

Diode circuits, bipolar junction transistors & FET devices and circuits, oscillator, an operational amplifier.

8.

Boolean algebra, Minimization of Boolean functions.

9.

Combinatorial and sequential circuits – multiplexer, de-multiplexer, encoder, decoder, flip-flops, registers and counters, A/D and D/A converters.

M.Tech in Quality, Reliability and Operations Research (QROR) 

Statistics (S1)

Part 1: Statistics/ Mathematics stream

S. No

Topics

1.

Descriptive statistics for univariate, bivariate and multivariate data. 

2.

Standard univariate probability distributions [Binomial, Poisson, Normal] and their fittings, properties of distributions. Sampling Distributions. 

3.

Theory of estimation and tests of statistical hypotheses. 

4.

Simple and Multiple linear regression, linear statistical models, ANOVA. 

5.

Principles of experimental designs and basic designs [CRD, RBD & LSD], Full factorial design, Confounding and blocking in 2k factorial designs 

6.

Elements of non-parametric inference. 

7.

Elements of the categorical data analysis. 

8.

Sample surveys – simple random sampling with and without replacement, stratified and cluster sampling. 

Probability (S2)

S. No

Topics

1.

The Classical definition of probability and standard results on operations with events, conditional probability and independence. 

2.

Distributions of discrete type [Bernoulli, Binomial, Multinomial, Hypergeometric, Poisson, Geometric and Negative Binomial] and continuous type [Uniform, Exponential, Normal, Gamma, Beta] random variables and their moments. 

3.

Bivariate distributions (with special emphasis on bivariate normal), marginal and conditional distributions, correlation and regression. 

4.

Multivariate distributions, marginal and conditional distributions, regression, independence, partial and multiple correlations. 

5.

Order statistics [including distributions of extreme values and of sample range for uniform and exponential distributions]. 

6.

Distributions of functions of random variables. 

7.

Multivariate normal distribution [density, marginal and conditional distributions, regression]. 

8.

Weak law of large numbers, central limit theorem. 

9.

Basics of Markov chains and Poisson processes. 

Mathematics (E1)

Part 2: Engineering Stream

S. No

Topics

1.

Quadratic equations, Roots of polynomial, AP, GP, HP, Divisibility and Prime numbers, Binomial theorem

2.

Inequalities, permutation and combination, complex numbers and De Moivre’s theorem. 

3.

Elementary set theory, functions and relations, matrices, determinants, solutions of linear equations. 

4.

Trigonometry [multiple and sub-multiple angles, inverse circular functions, identities, solutions of equations, properties of triangles]. 

5.

Coordinate geometry (two dimensions) [straight line, circle, parabola, ellipse and hyperbola], plane geometry, Mensuration. 

6.

Sequences, series and their convergence and divergence, power series, limit and continuity of functions of one or more variables, differentiation and its applications, maxima and minima, integration, definite integrals areas using integrals, ordinary and partial differential equations (up to second order) 

Engineering and Technology (E2) 

Engineering Mechanics and Thermodynamics

S. No

Topics

1.

Forces in plane and space, analysis of trusses, beams, columns, friction, principles of strength of materials, work-energy principle, a moment of inertia, plane motion of rigid bodies, belt drivers, gearing. 

2.

Laws of thermodynamics, internal energy, work and heat changes, reversible changes, adiabatic changes, the heat of formation, combustion, reaction, solution and dilution, entropy and free energy and maximum work function, reversible cycle and its efficiency, principles of internal combustion engines, principles of refrigeration. 

Electrical and Electronics Engineering

S. No

Topics

1.

DC circuits, AC circuits (1-φ), energy and power relationships, transformer, DC and AC machines, concepts of control theory and applications. 

2.

Network analysis, 2 port network, transmission lines, elementary electronics (including amplifiers, oscillators, op-amp circuits), the analog and digital electronic circuits, basics of computer architecture. 

 Engineering Drawing

S. No

Topics

1.

The Concept of projection, point projection, line projection, plan, elevation, sectional view (1st angle / 3rd angle) of simple mechanical objects, isometric view, dimensioning, a sketch of machine parts. (Use of Set Square, compass and diagonal scale should suffice). 

M.Tech (Cr S) PCB

Analytical Reasoning.

Combinatorial probability, Conditional probability, Discrete random variables and expectation, Binomial distribution.

S. No

Mathematics of M.Tech (CS) PCB

Units

Topics

1.

Linear algebra 

vector spaces and linear transformations, direct sum, matrices and systems of linear equations, characteristic roots and characteristic vectors, Cayley Hamilton theorem, diagonalization and triangular forms, quadratic forms.

2.

Abstract algebra

Groups: subgroups, products, cosets, Lagrange's theorem, group homomorphism, normal subgroups and quotient groups, permutation groups, Sylow theorems. Rings and integral domains: subrings, ring homomorphism, ideals and quotient rings, prime and maximal ideals, products, Chinese remainder theorem, prime and irreducible elements, principal ideal domain, unique factorization domains. Polynomial rings: division algorithm, roots of polynomials. Fields: characteristic of a field, field extensions, finite fields.

3.

Calculus and real analysis

real numbers, limits, continuity, uniform continuity of functions, differentiability of functions of one or more variables and applications, convergence of sequences and series; indefinite integral, fundamental theorem of Calculus, Riemann integration, improper integrals, double and multiple integrals and applications, sequences and series of functions, uniform convergence, solutions of ordinary differential equations.

4.

Graph Theory

connectedness, trees, vertex colouring, planar graphs, Eulerian graphs, Hamiltonian graphs, digraphs and tournaments.

5.

Combinatorics 

counting principles, Ramsey theory, binomial coefficients, recurrence relations, divide-and-conquer recurrences, recurrences involving convolution and their use in counting, Fibonacci numbers, generating functions, solving recurrence relations using generating functions

Physics

S.No.

Units

Topics

1.

Classical mechanics

Lagrangian and Hamiltonian formulation, symmetries and conservation laws, motion in a central field of force, planetary motion, simple harmonic motion - damped, undamped and forced, special theory of relativity

2.

Electrodynamics 

electrostatics, magnetostatics, electromagnetic induction, self and mutual inductance, capacitance, Maxwell’s equation in free space.

3.

Nonrelativistic quantum mechanics 

Planck’s law, photoelectric effect, Compton effect, wave-particle duality, Heisenberg’s uncertainty principle, Schrodinger equation and applications.

4.

Thermodynamics and Statistical Physics

laws of thermodynamics and their consequences, thermodynamic potentials and Maxwell’s relations, chemical potential, phase equilibrium, phase space, microstates and macrostates, partition function, free energy, classical statistics.

5.

Atomic and molecular physics 

Quantum states of an electron in an atom, Hydrogen atom spectrum, electron spin, spin-orbit coupling, fine structure, Zeeman effect.

6.

Condensed matter physics

crystal classes, 2D and 3D lattice, reciprocal lattice, bonding, diffraction and structure factor, point defects and dislocations, lattice vibration, free electron theory, electron motion in a periodic potential, energy bands in metals, insulators and semiconductors

7.

Basic nuclear physics

nuclear properties, nuclear forces, nuclear structures, nuclear reactions, radioactive nuclear decay

8.

Electronics 

semiconductor physics; diodes - clipping, clamping, rectification; Zener regulated power supply, bipolar junction transistor - CC, CB, and CE configurations; transistor as a switch; amplifiers.

9

Operational Amplifier and its applications

inverting & noninverting amplifiers, adder, integrator, differentiator, waveform generator, comparator, Schmidt trigger. Digital integrated circuits – NAND and NOR gates as building blocks, XOR gates, half and full adder.

Computer Science

S. No

Topics

Units

1.

Data structures

array, stack, queue, linked list, binary tree, heap, AVL tree, Btree.

2.

Discrete Mathematics

recurrence relations, generating functions, graph theory - paths and cycles, connected components, trees, digraphs.

3.

Programming languages

Fundamental concepts - abstract data types, procedure call and parameter passing, dynamic memory allocation, at least one of C, C++, Java and Python.

4.

Design and analysis of algorithms

Asymptotic notation, searching, sorting, selection, graph traversal, minimum spanning tree.

5.

Switching Theory and Logic Design

Boolean algebra, minimization of Boolean functions, combinational and sequential circuits - synthesis and design.

6.

Computer organization and architecture

Number representation, computer arithmetic, memory organization, I/O organization, microprogramming, pipelining, instruction level parallelism.

7.

Operating systems 

Memory management, processor management, critical section problem, deadlocks, device management, file systems

8.

Formal languages and automata theory 

Finite automata and regular expressions, pushdown automata, context-free grammars, Turing machines, elements of undecidability

9.

Database management systems

The Relational model, relational algebra, relational calculus, functional dependency, normalization (up to 3-rd normal form).

10.

Computer networks

OSI, LAN technology - Bus/tree, Ring, Star; MAC protocols; WAN technology - circuit switching, packet switching; data communications - data encoding, routing, flow control, error detection/correction, Inter-networking, TCP/IP networking including IPv4.

ISI Admission Test 2019 Identification Documents

Test day Requirements

• Hall Ticket
• Acceptable ID’s
• One Passport Size Photo
• PWD Certificate

Acceptable ID’s include (must be original, valid and nonexpired)–passport/ ration card/ voter ID card/ Aadhar card/ driving license/ PAN card/ College ID card.

Note: Candidates should not bring any material with them except the Hall Ticket, Blue/Black Pen. Use of calculators, log tables and slide ruler, watches with facilities of calculator, and cellular phones are strictly prohibited for the test.

ISI Admission Test 2019 Exam Day Instructions

Do’s

Dont’s

Candidates have to bring their own stationary things like blue/black ballpoint pens to darken the circles in the given OMR Sheet.

Malpractice of any form detected during or after the examination is liable to the cancellation of candidature.

ISI Admission Test 2019 Results

Candidate Test Results has been released & are available in the ISI Admission Test 2019 official website from 21 May 2019.

For More Details on Results - Click Here

PG Diploma in Statistical Methods and Analytics

Click Here

PG Diploma in Statistical Methods and Analytics (Domicile)

Click Here

JRF Biological Sciences

Click Here

Master of Mathematics

Click Here

B. Stat (Hons.)

Click Here

PG DCA

Click Here

Master of Statistics

Click Here

JRF Statistics

Click Here

MS QMS (Interview List)

Click Here

MS QMS (Interview Schedule)

Click Here

S. No

Programme

Total Seats

GEN

OBC -NCL

SC

ST

1.

Bachelor of Statistics Honours

50

25

14

7

4

2.

Bachelor of Mathematics Honours

50

25

14

7

4

3.

Master of Statistics

30*

15

8

5

2

4.

Master of Mathematics

20*

10

5

3

2

5.

Master of Science in Quantitative Economics (Delhi)

27

14

7

4

2

-

Master of Science in Quantitative Economics (Kolkata)

18

9

5

3

1

6.

Master of Science in Quality Management Sciences†

16

8

5

2

1

7.

Master of Science in Library and Information Science

10

5

3

1

1

8.

Master of Technology in Computer Science†

35

18

9

5

3

9.

Master of Technology in Cryptology and Security†

20

10

5

3

2

10.

Master of Technology in Quality Reliability and Operations Research†

25

13

7

4

1

11.

Post-Graduate Diploma in Statistical Methods and Analytics (Chennai+Tezpur)

30**

15

8

5

2

-

Post-Graduate Diploma in Statistical Methods and Analytics (Tezpur)††

15

8

4

2

1

12.

Post-Graduate Diploma in Computer Applications

15

8

4

2

1

S. No

Programme

Total

1.

JRF in Statistics

10

2.

JRF in Mathematics

12

3.

JRF in Quantitative Economics

9

4.

JRF in Computer Science

15 + 5

5.

JRF in Quality Reliability and Operations Research

4

6.

JRF in Physics and Applied Mathematics

4

7.

JRF in Geology

2

8.

JRF in Biological Science (Agriculture)

3

9.

JRF in Library and Information Science

1

ISI Admission Test 2019 Counselling Dates

Counselling Dates

• Counselling will be available in the Institutions website from the day after the declaration of results of ISI Admission Test 2019.

• Counselling for branch allocation for the short-listed candidates based on the merit list.

ISI Admission Test 2019 Counselling Process

Counselling Process

Step 1 - Registration and Creating Password.

Step 2 -Enter the required Information.

Step 3 -Uploading of Scanned Images.

Step 4 -Payment of Counselling Fees.

Step 5 -Print out of Counselling Application Form.

ISI Admission Test 2019 Counselling Required Documents

Required Documents

• Admit card.

• Scorecard.

• Counselling letter from ISI.

• 10th standard mark sheet.

• 12th standard mark sheet.

• Character certificate.

• Transfer or migration certificate.

• Category certificate if applicable.

• Passport Size Photographs.

ISI Admission Test 2019 Admission

FAQ

Answer

What is ISI Admission Test - 2019?

An Indian Statistical Institute (ISI Admission Test) is an Entrance Exam.

What is the Conducting Body for  2019?

It is by conducted by Indian Statistical Institute annually. 

ISI Admission Test 2019 Eligibility

FAQ

Answer

What is the eligibility criteria?

You can check the eligibility from the above-given section.

 Is there any age restriction for ISI Examination?

There is no age limit is prescribed.

I am in my final semester of B Stat degree from ISI. Am I eligible to apply for Mathematics [M Math] course?

Yes, if your final semester results are declared latest by August second week.

I am studying in final year of graduation....can I apply for a bachelor degree in statistics in ISI? Or there is another option

ISI Kolkata offers various programs. since you are in the final year of graduation, you can directly apply for the Master's program.

ISI Admission Test 2019 Application Process

FAQ

Answer

When will be ISI Application Form 2019 released?

The application form was released from 05 February 2019.

What is the last date to fill up the Application Form? 

The last date to fill up the Application form is on 15 March 2019.

How can I apply for ISI 2019 Admission Test?

You can apply for the exam through online mode.

Which documents are required to upload in the application form?

You have to upload the scanned images of photograph & signature.

 What is the application fee for an ST candidate?

The application fee is Rs. 500/-.

Can I pay the fee offline?

Yes, you can pay the fee through SBI bank challan.

ISI Admission Test 2019 Admit Card

FAQ

Answer

When will the Admit Card be released?

Admit Card will be released on 18 April 2019.

What is the Date of Examination? In which Mode is it Conducted?

ISI Admission 2019 Offline Exam is going to be held on 05 May 2019.

Will the ISI Admission Test admit card by sent to us by post?

No applicant will receive the admit card by post.

How to get the ISI Admission Test Admit Card?

Students must log on to their registered email accounts and click on the link provided in the email sent by ISI to download the Admit Card.

ISI Admission Test 2019 Results

FAQ

Answer

When will ISI Admission Test 2019 results be declared?

ISI Admission Test Results will be declared in the Second week of June 2019.

I have done my 12th with science stream. Is there any negative marking in ISI admission test?

There is no negative marking.

In which form ISI Admission Test Results will be declared?

The Result is declared in form of merit list/ rank list on the official site.