Education and Career Forum

Which all different MBA entrance exams are conducted in India by various universities and institutions? What is their marking scheme and passing criteria?

I have mentioned below some of the popular MBA entrance exams conducted in India along with their exam pattern and marks distribution.

Common Admission Test (CAT)
Exam Pattern

• Verbal Ability & Reading Comprehension (VARC) - 34 questions - 102 marks
• Quantitative Ability (QA) - 34 questions - 102 marks
• Data Interpretation & Logical Reasoning (DILR) - 32 questions - 96 marks
• Total - 100 questions - 300 marks

Indian Institute of Foreign Trade (IIFT)

• Logical Reasoning
• Data Interpretation
• Verbal Ability
• General Knowledge
• Reading Comprehension
• Quantitative Aptitude

Management Aptitude Test (MAT)
Exam Pattern

• Language Comprehension - 40 questions - 40 marks
• Intelligence and Critical Reasoning - 40 questions - 40 marks
• Mathematical Skills - 40 questions - 40 marks
• Indian and Global Environment - 40 questions - 40 marks
• Data Analysis and Sufficiency - 40 questions - 40 marks
• Total - 200 questions - 200 marks

Symbiosis National Aptitude Test (SNAP)
Exam Pattern

• Quantitative, Data Interpretation & Data Sufficiency - 35 questions (5 special questions) - 40 marks
• Analytical & Logical Reasoning - 35 questions (5 special questions) - 40 marks
• General English: Reading Comprehension, Verbal Reasoning, Verbal Ability - 35 questions (5 special questions) - 40 marks
• Current Affairs - 25 questions (5 special questions) - 30 marks
• Total - 130 questions (20 special questions) - 150 marks

Common Management Aptitude Test (CMAT)
Exam Pattern

• Language Comprehension - 25 questions - 100 marks
• Quantitative techniques and data interpretation - 25 questions - 100 marks
• Logical reasoning - 25 questions - 100 marks
• General awareness - 25 questions - 100 marks
• Total - 100 questions - 400 marks

Xavier Aptitude Test (XAT)

• Decision Making (DM)
• Verbal and Logical Ability (VA and LR)
• Quantitative Ability and Data Interpretation
• General Knowledge (GK)