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CAT Data Interpretation and Logical Reasoning Syllabus 2026

CAT DILR tests candidates on Data Interpretation and Logical Reasoning through 20 questions. The syllabus includes charts, tables, puzzles, arrangements, blood relations, coding-decoding, data sufficiency, and other reasoning topics.

authorImageAnshika Agarwal14 Aug, 2026
CAT Data Interpretation and Logical Reasoning Syllabus

 

The CAT DILR section requires candidates to interpret information, connect different data points, and apply logical thinking to reach the correct answer. Questions may present data through tables, charts, graphs, sets, or caselets, while Logical Reasoning questions involve arrangements, relationships, statements, puzzles, and other logical conditions.

As the second section of the CAT question paper, DILR requires a balance of accuracy, logical thinking, and time management. Knowing the topics beforehand can help candidates identify the areas that require more practice and build a focused preparation plan. The detailed CAT DILR syllabus and its question-wise distribution are given below.

CAT DILR Section Overview

Before starting DILR preparation, candidates should understand the basic structure of the section, including the number of questions, marks, and its two major areas. The overview below provides a quick look at the CAT DILR section.

Particulars

Details

Exam Name

Common Admission Test (CAT)

Section

Data Interpretation & Logical Reasoning (DILR)

Section Number

Second

No. of Questions

20

Total Marks

60

Major Areas

Data Interpretation and Logical Reasoning

Overall Difficulty

Moderate to Difficult

CAT DILR Syllabus 2026

The CAT DILR syllabus includes topics from both Data Interpretation and Logical Reasoning. The complete topic list provided for the CAT DILR syllabus is given below.

Blood Relations

Clocks and Calendars

Syllogism

Series

Statements

Venn Diagram

Proposition

Data Arrangement

Data Structures

Direction Sense

Family Tree

Tables

Coding-Decoding

Binary Logic

Pie Charts

Assumptions

Seating Arrangement

Data Sufficiency

Puzzles

Sets & Caselets

Bars & Line Graphs

CAT DILR Weightage 2026

The DILR section consists of 20 questions. The given topic-wise distribution shows questions from both Data Interpretation and Logical Reasoning with different difficulty levels.

CAT DILR Syllabus

No. of Questions

Level of Difficulty

Data Interpretation

8

Easy to Moderate

Logical Reasoning

12

Moderate to difficult

Overall

20

Moderate to difficult

How to Prepare for CAT DILR Syllabus

DILR preparation requires regular practice because questions often involve multiple pieces of information that need to be analysed together.

  • Understand the Basics: Start with the fundamental concepts of tables, charts, arrangements, sets, and logical relationships.

  • Practise Different Sets: Solve questions from different DILR topics instead of repeatedly practising only one type of set.

  • Work on Calculation Speed: Quick and accurate calculations can help when solving Data Interpretation questions.

  • Develop Logical Thinking: For Logical Reasoning, focus on understanding the conditions given in a question before attempting to find the answer.

  • Practise with a Timer: Timed practice can help candidates improve their speed and decide which sets to attempt first.

  • Analyse Mistakes: After solving a set, review incorrect answers and identify whether the mistake was due to calculation, interpretation, or reasoning.

FAQs

Is DILR the second section of CAT?

Yes. Data Interpretation & Logical Reasoning (DILR) is the second section of the CAT question paper, after VARC.

How can I prepare for CAT DILR?

Candidates should understand the basic concepts, practise different types of DI and LR sets, work on calculation speed, solve questions under time limits, and analyse their mistakes regularly.

How many questions are asked in CAT DILR?

The DILR section consists of 20 questions and carries 60 marks.

What are the main topics in CAT Data Interpretation?

The given syllabus includes Data Arrangement, Data Structures, Tables, Pie Charts, Data Sufficiency, Sets & Caselets, and Bars & Line Graphs under Data Interpretation.
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