MBA CAT Exam Comprehensive Study Syllabus

Overview of the Common Admission Test (CAT)

• Definition: The Common Admission Test (CAT) is a nationally recognized entrance examination essential for admission to MBA and other postgraduate management programs across India.
• Conducting Body: The exam is administered by the Indian Institutes of Management (IIMs).
• Assessed Abilities: The test evaluates candidates on verbal, mathematical, logical, and reasoning abilities.
• Exam Duration: The total duration is $120$ minutes.
• Total Questions: Approximately $66-68$ questions.
• Marking Scheme:
  • Correct Answer: $+3$ marks.
  • Incorrect Answer: $-1$ mark.
• Number of Sections: The exam is divided into $3$ distinct sections.

Section 1: Quantitative Ability (QA) Breakdown

• Duration: $40$ minutes.
• Questions: Approximately $22-23$ questions.

1.1 Arithmetic

• Number Systems & Properties:
  • Natural numbers, whole numbers, and integers.
  • Prime numbers and factorization.
  • Highest Common Factor (HCF) and Least Common Multiple (LCM).
  • Divisibility rules.
  • Remainders and modular arithmetic.
• Percentages, Profit & Loss:
  • Percentage calculations.
  • Profit, loss, and discount problems.
  • Markup and margin calculations.
  • Successive discounts.
  • Relationship between Cost Price (CP) and Selling Price (SP).
• Simple & Compound Interest:
  • Interest calculation methods.
  • Relationships between Principal, Rate, and Time.
  • Annuities and present value.
  • Loan amortization.
• Ratio, Proportion & Variation:
  • Direct and inverse ratios.
  • Partnership problems.
  • Alligation and mixture problems.
  • Continuous proportion.
• Averages, Speed, Time & Distance:
  • Mean, median, and mode.
  • Weighted averages.
  • Speed, distance, and time relationships.
  • Relative speed problems.
  • Boats and streams.
• Work & Pipes:
  • Work rate calculations.
  • Pipes and cisterns problems.
  • Combined work problems.
  • Efficiency-based questions.

1.2 Algebra

• Linear & Quadratic Equations:
  • One and two variable equations.
  • Systems of linear equations.
  • Quadratic equations and roots.
  • Nature of roots determined by the discriminant ($b^2 - 4ac$).
  • Sum ($-\frac{b}{a}$) and product ($\frac{c}{a}$) of roots.
• Polynomials & Functions:
  • Polynomial operations.
  • Division algorithm.
  • Factor and remainder theorems.
  • Basic function concepts and graphs of functions.
• Sequences & Series:
  • Arithmetic progressions (AP).
  • Geometric progressions (GP).
  • Harmonic progressions.
  • Sum formulas and identification of the $n^{th}$ term.
• Inequalities & Modulus:
  • Linear and quadratic inequalities.
  • Absolute value equations.
  • Range and domain identification.
• Logarithms & Exponents:
  • Logarithm properties.
  • Exponential equations.
  • Change of base formula.
  • Logarithmic equations.

1.3 Geometry & Mensuration

• Lines, Angles & Triangles:
  • Angle relationships.
  • Triangle properties and congruence.
  • Similarity of triangles.
  • Pythagorean theorem.
  • Triangle inequality.
• Circles:
  • Circle properties.
  • Chord and tangent relationships.
  • Angles in circles.
  • Sector and segment areas.
• Quadrilaterals & Polygons:
  • Properties of parallelograms, rectangles, and rhombi.
  • Trapezoids.
  • Regular polygons and their interior and exterior angles.
• Coordinate Geometry:
  • Distance formula.
  • Section formula.
  • Slope and equation of lines.
  • Circles and conics.
• 3D Geometry:
  • Cubes, cuboids, and cylinders.
  • Cones and spheres.
  • Prisms and pyramids.
  • Surface area and volume calculations.
  • Coordinate systems in $3D$.

1.4 Statistics & Probability

• Probability:
  • Basic probability concepts.
  • Conditional probability using $P(A|B)$.
  • Bayes' theorem.
  • Independent and dependent events.
  • Combinations ($\binom{n}{r}$) and permutations.
• Statistics:
  • Data representation.
  • Measures of central tendency (mean, median, mode).
  • Variance and standard deviation ($\sigma$).
  • Normal distribution ($X \sim N(\mu, \sigma^2)$).
  • Correlation and regression.

Section 2: Verbal Ability & Reading Comprehension (VARC)

• Duration: $40$ minutes.
• Questions: Approximately $22-23$ questions.

2.1 Reading Comprehension

• Passage Types: Informative, analytical, narrative, argumentative, and science/technology-based passages.
• Question Types:
  • Main idea and central theme identification.
  • Factual details and direct information retrieval.
  • Inference-based questions.
  • Analyzing the author's tone and attitude.
  • Word-in-context (vocabulary based on usage).
  • Application and analogy questions.
• Required Skills: Active reading, identifying key concepts, understanding argument structures, paragraph summarization, and question prediction.

2.2 Verbal Reasoning & Grammar

• Sentence Correction: Focusing on subject-verb agreement, pronoun reference, verb tenses/forms, parallelism, comparison structures, modifiers/placement, and idioms.
• Para Jumbles: Identifying logical sequences, connecting ideas, understanding paragraph flow, and identifying transition words.
• Para Completion: Anticipating missing content, maintaining coherence, and thematic consistency.
• Odd Sentence Out: Identifying sentences irrelevant to the main idea or thematic flow of a paragraph.

2.3 Vocabulary & Language

• Vocabulary Building: Study of word roots, etymology, synonyms, antonyms, word associations, and contextual usage (formal vs. colloquial).
• Word Analogies: Identifying semantic connections and contextual relationships.
• Critical Thinking: Analysis of logical arguments, assumption identification, evidence assessment, and argument evaluation.

Section 3: Data Interpretation & Logical Reasoning (DILR)

• Duration: $40$ minutes.
• Questions: Approximately $22-23$ questions.

3.1 Data Interpretation

• Data Representation: Tables, matrices, bar charts, histograms, line graphs, pie charts, scatter plots, combination charts, and flow charts.
• Analysis Skills: Reading numbers accurately, calculating percentages, ratios, and growth rates. Identifying trends and performing average/aggregate calculations.
• Complex Data Sets: Interpreting multi-layer data, data across multiple charts, conditional data analysis, and indexed data.

3.2 Logical Reasoning

• Syllogism: Using major/minor premises and Venn diagrams to validate conclusions.
• Seating & Arrangement: Linear, circular, two-row, multi-level/conditional arrangements.
• Selection & Grouping: Committee formation, conditional selection, distribution, and grouping problems.
• Blood Relations: Family trees, relationship identification, and generation-based logic.
• Logical Sequences & Patterns: Number and letter series, symbol-based patterns, and coding-decoding.
• Logical Puzzles: Einstein-type puzzles, constraint-based puzzles, truth/lie puzzles, and case-based logic.
• Statement & Inference: Evaluating implicit information, assumptions, and valid conclusions.
• Graphs & Networks: Directed/undirected graphs, path problems, and network analysis.

Section-Wise Tips & Strategies

• Quantitative Ability:
  1. Focus on core fundamentals and formulas.
  2. Practice mental calculation to save time.
  3. Utilize shortcuts and tricks.
  4. Abandon difficult problems rather than getting stuck.
  5. Solve previous years' question papers.
• Verbal Ability & Reading Comprehension:
  1. Read extensively across diverse subjects.
  2. Work on reading speed and comprehension depth.
  3. Build vocabulary and practice summarization.
  4. Understand argument structure and focus on inferences.
• Data Interpretation & Logical Reasoning:
  1. Practice visualization of data.
  2. Solve daily logic puzzles.
  3. Develop strong pattern recognition skills.
  4. Time each set to manage the section efficiently.
  5. Read constraints very carefully.

Preparation and Exam Day Guidelines

Study Timeline (3-4 Months)

• Daily Commitment: $2-3$ hours of regular study.
• Months 1-2: Focus on concept building and fundamentals.
• Months 2-3: Focus on practice and practical application.
• Months 3-4: Intensive mock tests and revision.

Resources and Practice Strategy

• Resources: NCERT mathematics texts, standard test prep books, online courses, question banks, and mock test series.
• Strategy:
  1. Solve questions by concept.
  2. Perform time-bound practice tests.
  3. Conduct full-length mock exams.
  4. Analyze mistakes and identify weak areas.
  5. Start section-wise mocks after $1.5 - 2$ months.
  6. weekly full-length mocks during the final $2$ months.

Exam Day Strategy

• Section Sequencing: The standard/optimal sequence is QA - VARC - DILR.
• Time Allocation: Strictly $40$ minutes per section.
• Difficulty Navigation: Skip hard questions initially to find easy ones.
• Quality over Quantity: Accuracy is more important than the number of attempts due to negative marking.
• Negative Marking: Avoid wild guessing ($-1$ mark penalty).
• Calculation: Utilize the provided rough work sheets.

Scoring and Percentile Metrics

• Score Range: Total score falls between $0$ and $120$.
• Percentile Range: Scales from $0$ to $100$.
• IIM Cutoffs: Vary annually depending on the specific IIM campus.
• Typical Top Percentiles: $99+$ percentile is considered a top score.
• Average Percentile: $50$ percentile.

Note: Candidates must verify the current pattern on the official CAT website as details are subject to change.

Last Updated: 2026