IBSAT 2017 Exam Pattern

Accepted For : MBA

Exam Mode : Online

Registrations Date

01 Jul, 2017


Exam Date

01 Dec, 2017


IBSAT 2017 Exam Pattern

ICFAI Foundation prescribes the exam pattern of IBSAT 2017 for admission to various MBA and PGPM courses. Candidates should have an in-depth knowledge of the IBSAT exam pattern before appearing for the test. The exam pattern for IBSAT comprises of the type of questions, marking scheme, time duration and the total number of questions. The IBSAT exam is a computer-based test carrying 140 multiple-choice questions (MCQs) that must be completed within the time duration of 120 minutes. A detailed view of the IBSAT 2017 exam pattern will help the candidates plan an effective preparation strategy. Candidates can get complete details of the exam pattern of IBSAT 2017 below.

  • The language for IBSAT 2017 is English.
  • There are 4 sections in the IBSAT 2017.
  • There are 140 total number of questions in the IBSAT 2018.
  • The total duration for IBSAT 2017 are 120 minutes (2 Hours).
  • There is no negative marking in the IBSAT 2017.  

IBSAT 2017 exam is divided into four sections. The table given below gives a detailed idea of different sections and number of questions that these sections contain.

Sections Number of Questions
Verbal Ability 50
Quantitative Aptitude 30
Data Interpretation & Data Sufficiency 30
Reading Comprehension 30
Total 140

Marking Scheme: Each question in the examination carries one mark. There is no negative marking in IBSAT. Hence, candidates should try and answer all the questions even if they feel their answers could be incorrect.


1. What is the paper pattern of IBSAT test?

IBSAT is an aptitude test. The duration of the exam is two hours. The paper is divided into four sections Verbal Ability, Reading Comprehension, Quantitative Ability and Data Adequacy & Data Interpretation.

IBSAT paper has 140 questions in total which are multiple choice questions amd they are divided as given below:

  • Verbal Ability: 50
  • Reading Comprehension: 30
  • Quantitative Aptitude: 30
  • Data Adequacy & Data Interpretation: 30