🗣️ CAT 2024 Quantitative Section Analysis: Slot-Wise Breakdown & Lessons for CAT 2025

Total Questions: 22Format: All questions were MCQs, no TITA (Type in the Answer) questions reported.Topics Covered: Arithmetic-heavy, followed by Algebra, Numbers, Geometry, and Modern Math.Level of Difficulty: Slot 1: Moderate Slot 2: Moderate-Difficult Slot 3: Easy-ModerateTrend continued from CAT 2023: conceptually simple, but calculation-intensive and selection-based. 🎯 SLOT-WISE QUANT ANALYSIS 📌 CAT 2024 – Slot 1: Moderate ✅ Topic-Wise Distribution (Approx.) Arithmetic: 8–9 Qs Algebra: 5–6 Qs Numbers: 2–3 Qs Geometry & Mensuration: 2 Qs Modern Math (Logs, Functions, P&C): 1–2 Qs 🔍 Key Observations Arithmetic questions were standard, but required careful reading. Algebra had questions from quadratic identities, modulus, and inequalities. Numbers included base systems and divisibility. Geometry was limited, but both questions had diagrams. A couple of questions had traps—language ambiguity. 🧩 Notable Questions A question on mixture and ratio with three containers. A tricky modulus-based inequality. A time-speed-distance problem involving trains crossing a platform. 🧠 Ideal Attempts: 14–16 🎯 Good Score: 36–40 📌 CAT 2024 – Slot 2: Moderate to Difficult ✅ Topic-Wise Distribution (Approx.) Arithmetic: 7 Qs Algebra: 6–7 Qs Geometry & Mensuration: 2–3 Qs Numbers: 3 Qs Modern Math: 1–2 Qs 🔍 Key Observations Questions were conceptually twisted even if the topic was standard. Some algebra problems needed 2–3 substitutions before clarity emerged. Time and work, pipes and cisterns problems were heavily calculation-driven. Several questions were non-formula-based, required logical reasoning. 🧩 Notable Questions Cyclic quadrilateral with radius and area implications. Work Efficiency problem involving 4 people with changing speeds. A clever logarithmic identity question. 🧠 Ideal Attempts: 12–14 🎯 Good Score: 32–36 📌 CAT 2024 – Slot 3: Easy to Moderate ✅ Topic-Wise Distribution (Approx.) Arithmetic: 9 Qs Algebra: 5 Qs Numbers: 3 Qs Geometry: 2 Qs Modern Math: 2–3 Qs 🔍 Key Observations Highest number of doable questions compared to other slots. Arithmetic was dominant and very straightforward—profit-loss, time-speed-distance, averages. Algebra focused on basic identities and equations. Geometry included triangle and circle properties, but with clean data. Many students reported finishing 18–20 questions with confidence. 🧩 Notable Questions Partnership-based question with simple logic. Progression question (AP) involving sum and term value. An easy function-based problem involving modulus. 🧠 Ideal Attempts: 16–18 🎯 Good Score: 42–48 📈 Comparative Summary Table Parameter Slot 1 Slot 2 Slot 3 Difficulty Level Moderate Moderate–Difficult Easy–Moderate Arithmetic Focus High Moderate Very High Algebra Focus Medium High Medium Geometry & Numbers Low–Medium Medium Low–Medium Modern Math Low Low Low–Medium Good Attempts 14–16 12–14 16–18 Good Score (Raw) 36–40 32–36 42–48 🔎 Key Takeaways for CAT 2025 Aspirants Arithmetic is the King – It has consistently made up 35–45% of QA in all recent CATs. Practice Selection – Choose which 14–16 questions to attempt in 40 minutes. Deepen Algebra – Emphasis on modulus, quadratic inequalities, and functions. Numbers – Focus on divisibility, base systems, and remainders. Smart Practice – Simulate CAT difficulty and decision-making in mocks.     📘 Topic-Wise CAT 2024 Quant Question Bank (Based on Memory) Arithmetic (8–9 Qs per slot) Profit-Loss: % gain/loss, marked price, successive discounts Time-Speed-Distance: Trains, relative speed, circular tracks Time & Work: Efficiency, men-women days, pipes & cisterns Averages, Mixtures & Alligation: Three container mix, weighted averages Ratio-Proportion: Partnership, direct/inverse variation Simple/Compound Interest: Basic applications Percentages: Discounts, change comparisons Algebra (5–7 Qs per slot) Quadratic Equations: Roots, nature, factorization Modulus Inequalities: |x–a| = b; conditions Linear Equations: Two variable setups Algebraic Identities: a² + b² + 2ab forms Functions & Graphs: Domain, modulus, piecewise Surds & Indices: Comparisons, simplifications Numbers (2–3 Qs per slot) Divisibility: LCM/HCF, remainders Base Systems: Binary/decimal conversion Number Properties: Digits, even/odd, unit digits Geometry & Mensuration (1–3 Qs per slot) Triangles: Similarity, right-angle, medians Circles: Radius, chords, cyclic quadrilateral Quadrilaterals: Areas and diagonals Mensuration: Cuboids/cylinders basic formulae Modern Math (1–2 Qs per slot) Logarithms: log identities, base conversions Progressions: AP/GP nth term and sum Permutations & Combinations: Seating/basic cases 🧭 Chapter-wise CAT 2025 Quant Prep Plan (July–November) 🔹 JULY: Foundation Building Arithmetic Basics: Percentages, Ratios, Averages Numbers: Divisibility, Factors, HCF/LCM Algebra Intro: Linear equations, identities Geometry Basics: Lines, angles, triangle properties✅ Daily: 10 QA Questions (Beginner), 2 Mocks/Week 🔹 AUGUST: Core Skill Development TSD & Work: Solve 30+ mixed questions Quadratics, Modulus, Inequalities Mensuration: Area & Volume formulas Logs & Progressions✅ Weekly Topic Test + 2 Mocks + Error log 🔹 SEPTEMBER: Moderate to Advanced Problems Functions, Graphs, Surds, Base systems Circles & Triangles Advanced Arithmetic Mixed Sets under time DI with Quant: Apply %/Ratios in DI✅ 3 Full Mocks/week + Past CAT QA Practice 🔹 OCTOBER: Final Strengthening Focused Practice on Weak Areas Mixed Topic Tests – 40-minute blocks Timed Sets – 22 questions in 40 mins CAT-style Questions from 2023–24 papers✅ 4 Mocks/week with video/peer analysis 🔹 NOVEMBER: Final Push Revise key formulas & concepts Mocks every alternate day 3-hour full CAT simulations Use Endeavor Magic Tolkit Solve last 10 years QA questions (slot-wise)   For more information or to buy magic toolkit product contact or click  

NMAT 2024 Overview and Lessons for NMAT 2025

  Importance of NMAT for MBA Aspirants in India The NMAT by GMAC has become a key MBA entrance exam in India. Its scores are accepted by over 50 MBA programs in India (and dozens abroad), including top schools such as SVKM’s NMIMS (various campuses), XIM University (Bhubaneswar), K J Somaiya, TAPMI, Great Lakes, SPJIMR, IFMR GSB, VIT Vellore, SDA Bocconi Asia, and others. It is often described as “candidate-friendly”: for example, test-takers enjoy flexible scheduling and up to three attempts per testing cycle. The exam is computer-adaptive (like the GMAT) with no negative marking, and candidates receive their unofficial score immediately after each attempt. Each year roughly 75,000+ aspirants take NMAT aiming for admission to ~78 participating B-schools. These features – wide acceptance by quality programs and a flexible format – make NMAT an important pathway to MBA admission in India. Top B-schools use NMAT: NMAT scores are accepted by leading MBA programs (NMIMS Mumbai/Bangalore/Hyderabad, XIMB, KJ Somaiya, etc.). Candidate-friendly format: Computer-based, no penalty for wrong answers, adaptive difficulty, instant scoring, and multiple attempts. High participation: Annually ~75,000 candidates take NMAT for admission to 78+ institutions. NMAT 2024 Exam Pattern and Structure NMAT by GMAC is a computer-based adaptive test with three sections. Each section has 36 multiple-choice questions and is independently timed. The structure for 2024 was (as per GMAC/official pattern): Section No. of Questions Time (minutes) Score Range Language Skills 36 28 12–120 Quantitative Skills 36 52 12–120 Logical Reasoning 36 40 12–120 Total 108 120 36–360 Sections: Language Skills, Quantitative Skills, Logical Reasoning. Each has equal weight (36 Q). Timing: Total time = 120 minutes. Time per section is fixed (28 min for Language, 52 min Quant, 40 min Reasoning). Candidates must attempt each section in order (they may choose section order at start) and cannot return to a completed section. Scoring: Each question carries +3 marks; no negative marking. Raw scores are scaled: each section score is reported on a 12–120 scale (so total score 36–360). For example, a perfect raw score would scale to 120 in each section. Adaptive format: The exam adapts to ability – as you answer correctly, questions become harder – similar to GMAT. This ensures a consistent scoring scale. Section-wise Difficulty and Score Analysis (NMAT 2024) In 2024 the NMAT was generally rated easy-to-moderate in overall difficulty. Section-by-section observations (per post-exam analyses) were: Language Skills (36 Q, 28 min): Easiest section. Typically included 3 RC passages (12 Q) plus questions on para jumbles, analogies, error-detection, prepositions, sentence completion, etc. Most candidates found it “easy-to-moderate” in difficulty. Strong performance here greatly benefits the overall score. Logical Reasoning (36 Q, 40 min): Moderate difficulty. Included analytical puzzles (arrangement, seating, etc.), input-output sequences, and critical reasoning questions. The section emphasized critical reasoning and deductions (with some new puzzle types), and was generally tougher than Language but easier than Quant. Quantitative Skills (36 Q, 52 min): Most challenging section. Topics included arithmetic, algebra, number systems, probability, permutations & combinations (PNC), logs, sequences (AP/GP), and data interpretation. In 2024, there was an increased focus on divisibility, PNC, logs, etc. Overall, this section ranged from moderate to tough, with some questions considered time-consuming or tricky. Each section is scored out of 120. For context, a total NMAT score in the 230–250 range is typically excellent and reflects ~99th percentile performance. In 2024, a score of ~240+ was often considered outstanding (especially for top-tier colleges), whereas around 200–220 would be competitive for many good B-schools. (Note: NMAT no longer reports percentiles per score; selection is based on raw scores.) Some B-schools enforce sectional cutoffs as well; for example, in 2024 NMIMS Bangalore reportedly required ~74 in Quant, 73 in Reasoning, 75 in Language to shortlist. NMAT Scores and B-School Shortlists (Cutoffs) Different B-schools set their own NMAT cutoff scores for interview calls. The following table summarizes approximate NMAT 2024 cutoffs for prominent programs (total score out of 360) based on official announcements and expert estimates: B-School (Program) NMAT 2024 Cutoff (Score Range) NMIMS, Mumbai (MBA Core) ~225–235+  (209 for application) NMIMS, Bangalore (MBA) ~220+ NMIMS, Hyderabad (MBA) ~200+ NMIMS, Navi Mumbai (MBA) ~210+ Xavier University (XIMB, Bhubaneswar) ~200–210 K J Somaiya Institute, Mumbai ~220–225 SDA Bocconi Asia Centre, Mumbai ~190–200 T.A. Pai Management Institute (TAPMI) ~220 Notes: These are indicative ranges. NMIMS Mumbai historically had the highest cutoffs (~230+ NMIMS Bangalore and Hyderabad have slightly lower cutoffs (~220 and ~200 respectively). XIM University Bhubaneswar (XIMB) typically looks at scores around 200+.  Each school may also consider sectional cutoffs and other factors, so candidates should check specific program requirements. (For comparison, Great Lakes PGPM (~190–200) and SPJIMR GMP/PGDMW (~170–190) also use NMAT, but are outside the above list.)   Exam Administration and Policies NMAT is administered by GMAC over an extended window each year. For NMAT 2024, the exam window ran roughly from November 5 to December 20, 2024. Candidates could register beforehand and then schedule their preferred test date within this window. Mode: Test-takers in India can choose between taking the exam at an official test center or via online proctored (home) mode. GMAC operates 70+ test centers across India. (Outside India, only the online mode is available.) The online mode is proctored, requiring identity verification and continuous monitoring. Attempts/Retakes: Each candidate is allowed up to 3 attempts in the testing window (initial test + 2 retakes). There must be at least a 15-day gap between attempts. This flexibility lets aspirants improve their score if needed. (Caution: Some institutes – e.g. NMIMS – accept only the first-attempt score for admission, so applicants targeting those schools should plan accordingly.) Results: After completing an attempt, the candidate sees an unofficial score immediately. The official NMAT scorecard (with sectional and total scores) is released within 48 hours. Scores from all attempts are available, and candidates has to choose which attempt’s score to send to schools. Other details: The NMAT registration fee (2024) was ₹2,300 (late fee ₹2,800). Test-takers may reschedule (with a fee) up to 72 hours before an exam slot.  

🗣️ CAT 2024 Data Interpretation and Logical Reasoning (DI LR) Section Analysis: Slot-Wise Breakdown & Lessons for CAT 2025

In CAT 2024, the DILR (Data Interpretation & Logical Reasoning) section typically comprised 5 sets (an increase from 4 in earlier years), with a mix of DI and LR sets. Out of these, roughly 2–3 sets were DI-focused in each slot. Each DI set had 4–5 questions, often in MCQ and/or TITA formats. Overall difficulty across slots ranged from Easy–Moderate to Moderate, with some slot-wise variation.   🔎 SLOT-WISE DI ANALYSIS 📌 CAT 2024 – Slot 1 Number of Sets: 5 (3 DI sets + 2 LR sets) DI Sets: 3 sets, each with 4 questions Difficulty Level: Moderate overall for DI Question Types in DI: Graph-based sets (bar charts, line graphs) Table/chart interpretation Mixture of straightforward computations and multi-layered inference Format: Mostly MCQs; some TITA questions embedded in DI sets (depending on set) Key Observations: DI sets were “moderate”—not very time-consuming individually, but required accuracy in reading and multi-step calculations. Some sets involved combining information from multiple small charts/tables. Careful scanning for relevant rows/columns helped avoid wasted time. Avoided extremely convoluted data; focus was on clear interpretation with 2–3 levels of inference. Good Attempts & Accuracy: Attempting about 8–9 DI questions (i.e., about 2 full DI sets plus parts of a third) with ~80–85% accuracy was considered a safe target for a high percentile in the DILR section. 📌 CAT 2024 – Slot 2 Number of Sets: 5 (2 DI sets + 3 LR sets) DI Sets: 2 sets, one with 4 questions, one with 4–5 questions Difficulty Level: Easy to Moderate for DI sets Question Types in DI: Profitability/table interpretation (e.g., firms’ financial metrics, ratios) Distribution/rating charts (e.g., ecommerce rating distributions, cumulative percentages) Occasionally mixed charts (e.g., combining tabular data with simple graphs) Format: Primarily MCQs; some TITA questions in DI sets depending on the set Key Observations: Compared to previous year, DI sets were relatively easier—fewer layers of inference. Straightforward computations (e.g., percentage changes, ratios) were common. Candidates reported that clear labeling in charts/tables made data lookup faster. Time saved here could be reallocated to trickier LR sets. Good Attempts & Accuracy: Attempting around 6–7 DI questions (i.e., about 1 full DI set plus parts of the second) with ~85%+ accuracy was a good benchmark. 📌 CAT 2024 – Slot 3 Number of Sets: 5 (2 DI sets + 3 LR sets) DI Sets: 2 sets, each with 5 questions Difficulty Level: Moderate for DI sets (slightly tougher than Slot 2, but still manageable) Question Types in DI: Chart interpretation (e.g., bar graphs on app subscriptions, line graphs on temperature trends) Tabular data (e.g., GDP of countries, financial metrics) Mixed DI (combining multiple small data blocks) Format: Mix of MCQs and TITA questions (e.g., 3 MCQs + 2 TITA in a set) Key Observations: DI sets had moderate inference depth: often required multi-step filtering (e.g., selecting top/bottom categories, computing derived ratios). Some sets demanded careful attention to detail (units, time periods). Still more straightforward than many LR sets in Slot 3. Candidates with strong tabular reading skills gained time advantage. Good Attempts & Accuracy: Attempting around 7–8 DI questions with ~80–85% accuracy aligned with scoring ~27–30 in DILR for a high percentile. 📊 Comparative Snapshot of DI in CAT 2024 Parameter Slot 1 Slot 2 Slot 3 No. of DI Sets 3 2 2 Questions per DI Set 4 4–5 5 DI Difficulty Moderate Easy–Moderate Moderate Common DI Types Mixed charts/tables Straightforward tables/graphs Charts + tables with moderate inference Format (MCQ vs TITA) Mostly MCQs (some TITA) Primarily MCQs (few TITA) Mix of MCQs and TITA Good DI Attempts ~8–9 questions ~6–7 questions ~7–8 questions Accuracy for High Percentile ~80–85% ~85%+ ~80–85% 🔑 Key Takeaways for CAT 2025 DI Preparation Consistent DI Practice: Regularly solve varied DI sets (tables, bar/line charts, pie charts, mixed data) to build speed in data extraction. Focus on both quick-read tactics (e.g., scanning relevant rows/columns) and deeper inference (e.g., deriving ratios, trends). Accuracy Over Attempts: In DI, wrong answers carry negative marking in MCQs. Prioritize accuracy: if unsure about multi-step inference, skip or mark TITA if confident. Cultivate elimination skills: sometimes a rough estimate of ranges helps eliminate wrong options without full calculation. TITA Familiarity: Many DI sets include TITA questions where negative marking is absent. Practice these to boost safe attempts. Ensure precision, since TITA requires exact values/formats. Time Management: In mocks, allocate ~12–15 minutes for DI (out of 40 for DILR, shared with LR). Adjust based on personal strengths: if DI is a strength, aim to finish DI sets quickly and channel saved time to LR. Varied Difficulty Exposure: CAT DI can vary from very straightforward computations to moderate multi-layered inference. Practice both “easy” and “moderate” DI regularly so you’re prepared for any slot variation. Error Analysis & Logging: Maintain an error log: note the nature of mistakes (data misread, calculation slip, misinterpretation). Review weekly to avoid repeats. Integration with LR Practice: Since DI and LR share the same section, simulate actual test conditions: after finishing DI, switch mindset to LR puzzles. Practice seamlessly transitioning. 📅 CAT 2025 DI Prep Plan (June – November) Below is a month-wise roadmap focusing on Data Interpretation. Adjust weekly/daily schedules based on your overall prep (VARC, QA, LR). The plan assumes you begin in June 2024–25 cycle and take regular mocks. ✅ JUNE – Foundation & Exposure Goals: Familiarize with basic DI formats; build comfort with reading data quickly. Activities: Daily: Solve 1 simple DI set (4 Qs) in untimed mode; types: single-table, single-bar-chart. Weekly: 1 mixed DI practice session (table + simple chart together). Concept Review: Techniques for reading tables/charts, basics of percentages, ratios, averages. Resource: Assemble a “DI Toolkit” sheet listing formulae/tricks (e.g., how to convert pie-chart percentages to values). Outcome: Comfortable interpreting straightforward data; minimal calculation errors. ✅ JULY – Speed Building Phase Goals: Improve speed in data extraction and basic computations. Activities: Daily: Timed solving of 1 DI set (4 Qs) in 5–6 minutes. Focus on accuracy within time. Weekly: 2 sessions of mixed DI sets (e.g., 2 sets

🗣️ CAT 2024 Verbal Ability (VARC) Section Analysis: Slot-Wise Breakdown & Lessons for CAT 2025

  The VARC section of CAT 2024 continued its recent tradition of being conceptually RC-heavy, with moderate Verbal Ability (VA) and plenty of traps in answer choices. The key differentiator, once again, was accuracy in reading and elimination.   🧠 Overview of VARC 2024 Total Questions: 24 Reading Comprehension (RC): 16 Qs (4 passages × 4 Qs each) Verbal Ability (VA): 8 Qs (Para-summary, Para-jumbles, Odd One Out) TITA: Most VA questions were TITA Overall Difficulty: Slot 1: Moderate to Tough Slot 2: Moderate Slot 3: Easy to Moderate    SLOT-WISE VERBAL ANALYSIS 📌CAT 2024 – Slot 1: Moderate to Tough 📚 RC Breakdown: RCs were dense and abstract—topics from sociology, psychology, ecology, and AI ethics. Options were close and confusing, with 2–3 answer choices often seeming correct. No direct inference questions—all required careful reading + elimination. ✍️ VA Breakdown: 2 Para-jumbles (TITA): Moderate, 4–5 sentence types 2 Para-summaries (MCQ): Tricky—close options 2 Odd One Out: Abstract arguments 🔍 Key Observations: RC passages were wordy and idea-dense (~500–600 words each). Para-summary questions had subtle shifts in tone and detail. Many reported low accuracy despite “feeling good” during the section. 🎯 Good Attempts: 16–18 ✅ Good Score: 36–40 📌 CAT 2024 – Slot 2: Moderate 📚 RC Breakdown: One passage on economics and inflation, another on evolutionary biology, a third on media influence, and one on AI & cognition. Medium length (~450–550 words); questions required detail-based understanding. Some direct inference + main idea questions provided relief. ✍️ VA Breakdown: 3 Para-jumbles (TITA): Moderate 2 Para-summaries: One easy, one tricky 1 Odd One Out: Easy 🔍 Key Observations: RC was more balanced—neither too factual nor too abstract. VA section was manageable, especially for those familiar with structure-based solving. High ROI possible for those with reading habits. 🎯 Good Attempts: 18–20 ✅ Good Score: 40–45 📌 CAT 2024 – Slot 3: Easy to Moderate 📚 RC Breakdown: Topics included history of architecture, digital privacy, climate narratives, and psychology of habits. Passages were readable and shorter (~400–500 words). Questions were more direct, with fewer traps. ✍️ VA Breakdown: 2 Para-jumbles (TITA): Easy 2 Para-summaries: Direct and answerable 2 Odd One Out: Moderate 🔍 Key Observations: Reading speed helped a lot in this slot. Many students finished with 2–3 minutes to spare. Ideal slot for those confident in reading comprehension. 🎯 Good Attempts: 20–22 ✅ Good Score: 45–50 📊 Comparative Snapshot Feature Slot 1 Slot 2 Slot 3 Overall Difficulty Moderate to Tough Moderate Easy to Moderate RC Tone Abstract, dense Balanced Easy & factual VA Difficulty Moderate Easy–Moderate Easy Good Attempts 16–18 18–20 20–22 Good Score (Raw) 36–40 40–45 45–50 🔑 What CAT 2025 Aspirants Should Learn RC is Still the King RC makes up 66% of the section. Practicing with a mix of abstract and factual articles is key. Tone & Inference Mastery Trap options test your understanding of tone, scope, and logical flow—not just facts. Practice with TITA Para-jumbles Accuracy in TITA comes only through muscle memory—solve 100+ PJs before October. Make Reading a Daily Habit Read articles from Aeon, NYT, The Guardian, The Hindu, Eon, Nautilus, and JSTOR to simulate CAT-style RCs. Mock Smartly, Not Just Hard Analyze not just the questions you got wrong, but also the ones you got right for the wrong reason. Here’s a complete, month-wise preparation plan for CAT 2025 – Verbal Ability and Reading Comprehension (VARC), aligned with CAT 2024 trends and smart strategy:     📅 CAT 2025 VARC Preparation Plan (June–November) Target: 98+ percentile with strong RC and VA accuracy   ✅ JUNE – Foundation Phase Goals: Build reading habits, understand CAT VARC structure, and begin light practice. 📚 Focus Areas: Read 1 long article daily (700–1000 words) Topics: Philosophy, Psychology, Economics, Environment, Sociology Learn question types: Main idea, inference, tone, summary 📝 Practice: 2 RCs/week from previous CAT papers 5 Para-jumbles and 2 Para-summary questions/week Start a “Words in Context” vocabulary journal   ✅ JULY – RC Skills + VA Foundations Goals: Strengthen comprehension and start solving VA seriously 📚 RC Focus: RC Strategy: Elimination > Selection Practice 3 RCs/week: Time-bound (12–15 mins each) Learn to identify: Author’s tone Main argument Contradictions and comparisons ✍️ VA Focus: Para-jumbles (4-sentence, 5-sentence) – 20/week Para-summary – 10/week Odd One Out – 5/week     ✅ AUGUST – Accuracy Building Phase Goals: Balance speed with comprehension, increase exposure to TITA formats 📚 RC Focus: 4 RCs/week from mock level material Practice: Inference-based, assumption, tone, application Qs Track accuracy using RC logs (create error tracker) ✍️ VA Focus: Time-bound VA sets: 6–8 Qs in 20 mins Deep analysis of confusing questions Reinforce grammar intuitively (through reading, not rules) ✅ SEPTEMBER – Mock Integration Phase Goals: Shift from practice to simulated testing 🧪 Mock Strategy: Full 40-min VARC sections twice a week 1 Full-length CAT mock/week Analyze: % accuracy Qs skipped Trap choices 📚 RC: 5 RCs/week from past CATs + mock-level Use time blocks: 30 mins = 2 RCs ✍️ VA: Focus on difficult para-summaries & odd-one-outs Maintain TITA question logs Practice VA under sectionals ✅ OCTOBER – Final Refinement Goals: Fix weak zones, improve test temperament 🧠 What to Do: 3 mocks/week with full VARC analysis RCs: Push reading speed to 250–300 wpm VA: Solve past 5 years’ actual CAT VA questions Analyze incorrect TITA logic ✅ NOVEMBER – Exam Temperament + Micro-Focus Goals: Maximize performance in 40 mins 🧪 Weekly Routine: 4 sectionals (VARC) + 3 full CAT mocks Revise RC themes and tone vocabulary Practice RCs across slots (CAT 2023, 2024) ✍️ Additional Tools Tool/Activity Frequency Read newspapers/articles Daily (45 mins) Maintain vocab/context log 3x/week Revise VA errors Weekly VARC Group Discussions Weekly (1 hr) 📚 Recommended Reading Sources Source Focus The Hindu (editorials) Tone, structure, Indian context Aeon / Eon Philosophy, Psychology NYT / The Guardian Global issues, Opinion pieces JSTOR Daily Abstract RC practice For more information or to buy magic toolkit product contact or click CAT 2025 Magic Toolkit

Revisiting CAT 2024 & Targeting CAT 2025: The Big Picture

As we get into the final few laps for CAT 2025 lets revisit CAT 2024 and take key lessons in our journey to CAT 2025.   CAT 2024 introduced notable tweaks compared to previous years yet retained its fundamental challenge: 120 minutes to solve 68 questions across three sections. According to coaching-institute analyses and student feedback, CAT 2024 was overall more approachable than CAT 2023, especially in DILR and Quantitative Ability, but this made benchmarks and cut-offs more competitive at top B-schools. Understanding these changes and their implications is crucial for CAT 2025 aspirants aiming to stay ahead. Pattern Changes & Structure Total Questions: 68 (VARC: 24, DILR: 22, QA: 22) Section Timing: 40 minutes each. VARC Tweaks: Complete removal of Paragraph Jumble. Instead, more emphasis on paragraph completion, summary, and odd-sentence (TITA) questions DILR Tweaks: Increased to 5 sets (2 sets of 5 Qs, 3 sets of 4 Qs) totaling 22 questions, up from 20 in earlier patterns. QA Composition: Arithmetic-heavy (around 8–10 questions), with Algebra, Geometry, Number Systems, and Modern Math making up the remainder. Question Types: Mix of MCQs (with negative marking) and TITA (no negative marking). The balance across MCQ/TITA varied section-wise (e.g., more TITA in DILR). Difficulty Level: Slot-wise variations, but overall moderate; easier than CAT 2023 in many aspects, especially DILR and QA, though VARC maintained moderate challenge. Because the exam was slightly “easier,” percentile cut-offs at premier IIMs likely edged upward; thus, aspirants needed to aim for even higher raw scores to secure the same percentiles as previous years. Section-Wise Analysis & Key Takeaways VARC (Verbal Ability & Reading Comprehension) Question Distribution: Approximately 16 Reading Comprehension (RC) questions + 8 Verbal Ability (VA) questions, but with no para-jumbles. Instead, VA featured summary, paragraph completion, and odd-sentence (TITA) items Difficulty: Generally easy to moderate for RC passages, with a mix of easier and moderate-length passages. VA questions required strong elimination instincts and clarity in sentence usage. Attempts & Accuracy: Students reported targeting around 12–14 attempts with 60–70% accuracy to secure a safe percentile in VARC. Overthinking often led to time loss; trusting reading instincts paid off. Strategy Lessons: Active Reading Practice: Regularly practice varied RCs to build speed and comprehension. Focus on identifying main ideas, tone, and structure quickly. VA Question Drills: Prioritize exercises on paragraph completion and summary questions under timed conditions. Develop clarity on sentence coherence to tackle odd-sentence TITA items confidently. Time Allocation: Avoid spending excessive time on any single passage or question. Practice pacing to attempt all RCs first, then VA, or vice versa, based on personal strength. DILR (Data Interpretation & Logical Reasoning) Question Distribution: 5 sets totaling 22 questions (2 sets × 5 Qs, 3 sets × 4 Qs). A blend of DI caselets (tables, graphs) and LR puzzles (arrangements, tournaments, assignment problems). Difficulty: Moderate overall and easier compared to CAT 2023 DILR. However, certain sets still demanded multi-step reasoning, careful data filtering, and accuracy under time pressure. Attempts & Accuracy: Quality over quantity—targeting around 10–13 questions with high accuracy (80%+ for safe percentile). Skipping a deceptively tough set early could improve overall score. Strategy Lessons: Set Selection: Develop the skill to quickly gauge set difficulty in the first 1–2 minutes—identify whether information is structured clearly or too convoluted for your comfort. Practice Diverse DI Formats: Regularly solve graph/table caselets and varied LR puzzles under timed mocks. Exposure reduces hesitation on exam day. Accuracy Focus: Since negative marking applies to MCQs, avoid guessing. For TITA questions (no negative), attempt only when reasonably sure. Time Management: Allocate time flexibly—if one set stalls your momentum, move on and return only if time permits. QA (Quantitative Ability) Composition: Arithmetic-dominant (around 8–10 questions), plus Algebra, Geometry, Number Systems, and Modern Math (permutations, probability). Difficulty: Moderate overall; easier than CAT 2023, but still challenging for accuracy under time constraints. Many straightforward-looking questions could be time-consuming if fundamentals weren’t rock-solid. Attempts & Accuracy: Aiming for about 10–12 attempts with 70–80% accuracy was typical for a strong percentile. Strategy Lessons: Fundamentals Mastery: Strengthen arithmetic basics (percentages, ratios, time & work, speed & distance) through daily practice. Make formula recall second nature. Speed & Calculation Practice: Use shortcuts judiciously but ensure they don’t invite errors. Practice mental math to save precious seconds. Topic-wise Mock Analysis: Post-mock, analyze which topics consume excess time or cause errors. Devise targeted practice for weak areas. Balancing Easy vs. Time-Consuming: Learn to identify “windfall” questions vs. trap questions early. Attempt easy ones first to build confidence and bank marks. Slot-Wise & Overall Student Feedback Slot Variations: Slot 1 was reported as slightly tougher in QA than Slot 2/3; VARC sometimes felt tougher in Slot 3 due to passage topics. However, differences were marginal overall. Psychological Factors: Anxiety on exam day impacted attempt order; many aspirants preferred starting with their strongest section (e.g., QA first for some) to build momentum. Post-Exam Reflection: High-performing students emphasized mock simulations under strict timed, proctored conditions to mimic real exam pressure. Cut-off Implications: Since CAT 2024 was marginally easier, the cut-offs for IIMs likely rose by a few raw-score points. Aspirants needed to aim for higher safe attempts than in previous years. Lessons & Tips for CAT 2025 Preparation Revisiting CAT 2024 helps shape an effective prep roadmap for CAT 2025. Below are distilled insights and actionable tips: Start Early & Build Fundamentals Begin with Basics: From Day 1, reinforce arithmetic concepts, grammar rules, and logical reasoning principles. A strong foundation pays dividends in mock performance. Structured Study Plan: Create a weekly/monthly calendar, allotting dedicated slots to VARC, DILR, QA, revision, and rest. Consistency beats cramming. Mock Test Series: Simulate Real Exam Conditions Realistic Environment: Take full-length mocks in a proctored, timed setting to build exam temperament. This reduces anxiety on D-Day. Sectional Mocks & Analysis: Regular sectional tests help isolate weak areas early. Post-mock, invest time in deep analysis—identify time-sinks, error patterns, conceptual gaps. Adaptive Practice & Feedback Loop Data-Driven Improvement: Track performance metrics (attempts vs. accuracy vs. time taken) for each topic. Use this

The New IIMs and their Admission Criteria

Below is an in‑depth, category‑wise breakdown of the shortlisting and final selection criteria for the newer IIMs (i.e., those other than the “Top 7” legacy IIMs: Ahmedabad, Bangalore, Calcutta, Lucknow, Indore, Kozhikode, Shillong). For each institute, we cover: Eligibility: Minimum academic marks & CAT validity Shortlisting cut‑offs: Sectional & overall CAT percentiles by category Shortlisting index weightage: How CAT, school marks, work‑experience, diversity feed into the composite score (where published) Final selection weightage: PI/WAT vs CAT vs profile “Safe” CAT percentiles: Suggested targets above the published cut‑offs by category All data are sourced from official Admission Policy documents or authoritative disclosures on institute websites (or their CAP-coordinated policies) for the most recent batch cycles (typically 2024–26 or 2025–27). Disclaimer: User discretion is mandated to make decisions basis this data and user may check data with officials to verify before arriving at decision IIM Rohtak 1.1 Eligibility Bachelor’s degree (10+2+3/4) with at least 50% marks (45% for SC/ST/PwD), and a valid CAT score. Must have selected IIM Rohtak in the CAT form and complete institute registration. 1.2 Shortlisting Cut‑offs (Phase I → PI) IIM Rohtak publishes category‑wise overall CAT percentile cut‑offs for shortlisting to Personal Interview (PI). The indicative cut‑offs for CAT 2024 (for PGP 2025‑27) are: General: ≥ 97 percentile EWS: ≥ 93 percentile NC‑OBC: ≥ 83 percentile SC: ≥ 60 percentile ST: ≥ 50 percentile DAP‑General: ≥ 87 percentile DAP‑EWS: ≥ 83 percentile DAP‑NC‑OBC: ≥ 73 percentile DAP‑SC: ≥ 50 percentile DAP‑ST: ≥ 40 percentile Section‑wise minima are not separately published in detail by IIM Rohtak; they use the overall CAT percentile for initial cut‑off. 1.3 Shortlisting Index Weightage IIM Rohtak’s publicly disclosed Admission Policy does not detail a multi‑component shortlisting index beyond the CAT cut‑off for PI calls. Candidates satisfying the cut‑off are shortlisted for PI. 1.4 Final Selection Weightage (Composite Score) Once candidates clear the shortlisting, final admission offers are based on a weighted aggregate of: CAT percentile: 60% weight Personal Interview (PI) score: 20% weight Academics & Diversity: 20% weight “Academics & Diversity” typically includes: past academic record (10th/12th/Graduation) and gender/academic diversity points. 1.5 “Safe” CAT Percentiles (Targets) Because actual shortlist volumes can fluctuate, aim above the published minima. Rough guidance: General: ≥ 98+ percentile EWS: ≥ 95+ NC‑OBC: ≥ 88+ SC: ≥ 65+ ST: ≥ 55+ DAP (General/EWS/OBC/SC/ST): at least ~5 points above the stated cut‑offs to ensure buffer. IIM Udaipur 2.1 Eligibility Bachelor’s degree with at least 50% marks (45% for SC/ST/PwD). Valid CAT score. 2.2 Shortlisting Cut‑offs (to PA: WAT & PI) From IIM Udaipur Admission Policy for PGP 2025‑27 (based on CAT 2024): General: VARC ≥ 75, DILR ≥ 75, QA ≥ 75, Overall CAT ≥ 95 percentile EWS: sectionals ≥ 55, Overall ≥ 81 NC‑OBC: sectionals ≥ 52, Overall ≥ 81 SC: sectionals ≥ 45, Overall ≥ 66 ST: VARC/DILR ≥ 25, QA ≥ 30, Overall ≥ 42 DAP (PwD): same as ST: VARC/DILR ≥ 25, QA ≥ 30, Overall ≥ 42 2.3 Shortlisting Index Weightage IIM Udaipur uses a two‑stage process: Shortlist to PA (WAT & PI) purely on CAT sectionals & overall meeting above cut‑offs. Final merit computed after WAT & PI (for those shortlisted). The published weightage for final merit (MBA Hitbullseye summary) is: CAT normalized score: 55% WAT: 6% PI: 15% Academic Profile: 10% Work Experience: 6% Diversity: 8% 2.4 Final Selection Weightage As above: CAT 55%, WAT 6%, PI 15%, Academics 10%, Work‑ex 6%, Diversity 8%. Diversity includes gender diversity (female/trans) and academic diversity (non‑engineering backgrounds). 2.5 “Safe” CAT Percentiles Aim ~3–5 points above cut‑offs: General: ≥ 98–99 percentile EWS/NC‑OBC: ≥ 85–88 percentile SC: ≥ 70+ percentile ST/DAP: ≥ 50+ percentile (target ~55–60) IIM Raipur 3.1 Eligibility Bachelor’s degree with minimum 50% marks for General/EWS/NC‑OBC; 45–50% for SC/ST/PwD as per GOI norms. Valid CAT score and CAP registration. 3.2 Shortlisting Cut‑offs (PI calls) From IIM Raipur Admission Policy PGP 2024‑26 (CAT 2023 basis): General: QA ≥ 73, DILR ≥ 73, VARC ≥ 73, Overall ≥ 94 percentile EWS: sectionals ≥ 50, Overall ≥ 77 NC‑OBC: same as EWS: sectionals ≥ 50, Overall ≥ 77 SC: sectionals ≥ 44, Overall ≥ 60 ST: sectionals ≥ 25 (VARC/DILR), QA ≥ 30, Overall ≥ 40 DAP (PwD): same as ST (VARC/DILR ≥ 25, QA ≥ 30, Overall ≥ 40) Note: Cut‑offs are “tentative” and may be adjusted to achieve the desired shortlist size per category. The CAP coordinating institute may adjust cut‑offs slightly. 3.3 Shortlisting Index Weightage Stage I shortlisting purely on CAT meeting above section & overall minima. If fewer/more candidates, cut‑offs may be tweaked category‑wise. 3.4 Final Selection Weightage After PI (and Personal Profile Mapping): Overall CAT & Sectionals: 42% total, broken as: Overall CAT percentile: 25% QA percentile: 6% DILR percentile: 5% VARC percentile: 6% Personal Interview: 23% Profile (total 33%): Academic Profile (12%): based on 10+2 and Graduation marks in brackets Work Experience (approximately 12% distributed across experience duration) Academic Diversity (2%) Gender Diversity (6% to female/trans) Degree program duration extra mark(s) (~1–2%) Personal Profile Mapping: 2% 3.5 “Safe” CAT Percentiles Buffer above cut‑offs to ensure shortlist: General: ≥ 97–98+ percentile (vs cutoff 94) EWS/NC‑OBC: ≥ 80–85+ (vs cutoff 77) SC: ≥ 65+ (vs cutoff 60) ST/DAP: ≥ 45–50+ (vs cutoff 40) IIM Ranchi 4.1 Eligibility Bachelor’s degree with ≥ 50% (General/EWS/NC‑OBC) or 45–50% (SC/ST/PwD). Valid CAT score and CAP registration. 4.2 Shortlisting Cut‑offs (PI calls) From IIM Ranchi Admission Criteria (PGP 2024‑26, CAT 2023 basis): General: QA ≥ 73, DILR ≥ 73, VARC ≥ 73, Overall ≥ 94 percentile EWS/NC‑OBC: sectionals ≥ 50, Overall ≥ 77 SC: sectionals ≥ 44, Overall ≥ 60 ST/DAP: QA ≥ 30, DILR ≥ 25, VARC ≥ 25 (or as stated), Overall ≥ 40 percentile These cut‑offs are “indicative” and used to rank within category; actual shortlist may vary based on applicant pool. 4.3 Shortlisting Index Weightage Initial shortlist purely via CAT meeting cut‑offs. Candidates are then ranked within category based on CAT percentile. 4.4 Final Selection Weightage From IIM Ranchi Admission Policy: CAT Score: 40% of final merit (only for those eligible for PI) PI Score: 30% Profile: 30%, comprising: Academic Profile (SSC, HSC, Graduation scores): 13 marks Work Experience: 7 marks Academic Diversity (Non‑engineering bachelor’s): 5 marks Gender Diversity (female/trans): 5 marks 4.5 “Safe” CAT Percentiles To ensure a PI call: General: ≥ 97–98+ percentile (vs cutoff ~94) EWS/NC‑OBC: ≥ 80+ (vs cutoff ~77) SC: ≥ 65+ (vs cutoff ~60) ST/DAP: ≥ 45–50+ (vs cutoff ~40) IIM Kashipur 5.1

Welcome to Endeavor Magic Changannacherry

Welcome to Endeavor Magic Changannacherry — Where Ambition Meets Mentorship At Endeavor Magic Changannacherry, we are proud to be led by Shiju Thomas, Founder & Chief Coach, whose journey blends academic excellence, global leadership, and an enduring passion for teaching. An alumnus of IIM Bangalore, Shiju brings over two decades of leadership experience from startups and multinational companies across India and Australia. His expertise in marketing, product strategy, growth, and leadership coaching enables him to nurture not just academic performance, but also personal development and professional readiness. What sets Endeavor Magic apart is our commitment to personalized coaching and holistic growth. Shiju’s approach focuses on understanding each student’s unique strengths, sharpening their capabilities, and building the mindset required to excel in high-performance environments. His philosophy is rooted in clarity, discipline, and ambition—values that form the foundation of our learning culture. Whether you are preparing for the CAT, CMAT, IPMAT, GRE, or other competitive exams, or looking to build long-term career skills, Endeavor Magic Changannacherry offers a structured, student-centric coaching experience that empowers you to achieve your highest potential. We invite you to begin your journey with us, and experience the difference that world-class coaching, guided mentorship, and a growth-oriented environment can make.  

The Big 7 IIMs and their admission criteria

Below is an in-depth, category-wise breakdown of shortlisting and final selection criteria for the top 7 IIMs—Ahmedabad (A), Bangalore (B), Calcutta (C), Indore (I), Lucknow (L), Kozhikode (K) and Shillong (S). For each institute you’ll find: Eligibility: minimum academic marks & CAT validity Shortlisting cut-offs: sectional & overall CAT percentiles by category Shortlisting index weightage: how CAT, school marks, work-ex, diversity feed into the composite score Final selection weightage: PI/WAT vs CAT vs profile “Safe” CAT percentiles you should target by category     IIM Ahmedabad (A) Eligibility Bachelor’s degree (10+2+3/4) with ≥50% (45% for SC/ST/PwD). ac.in Stage I Shortlisting (AWT & PI call)   Category VARC ≥ DILR ≥ QA ≥ Overall ≥ 10+12 avg ≥ Grad ≥ (80th pct cut-off)   General/EWS   70   70   70   80 80 (Sci) 77 (Comm) 75 (Arts) 80th pct of batch (<varies by stream>) NC-OBC/Trans* 65 65 65 75 75, 72, 70 80th pct (lower than Gen) SC 60 60 60 70 70, 67, 64 80th pct (lower) ST 50 50 50 60 65, 62, 59 80th pct (lower) PwD (Gen/OBC/SC) 60 60 60 70 Same as SC 80th pct (for PWD-Gen group) PwD (ST) 50 50 50 60 Same as ST 80th pct (for PWD-ST group) *Transgender category is grouped with NC-OBC for cut-offs. Cut-offs from Shortlisting Criteria PDF (2023-25)—very likely unchanged for 2025-27 iima.ac.in. Composite Score (CS) for shortlisting makefile CopyEdit CS = 0.65 × (CAT total raw)/800 + 0.35 × (Application Rating Score) where ARS is sum of: 10th & 12th marks (avg scaled to 10) Graduation percent (scaled to 35) Work-ex (max 11×0.2=2.2) ac.in Stage II Final Selection   Component Weight Personal Interview 50% AWT 10% CAT (normalized) 25% Application Rating 15% Final Composite Score (FCS) formula given in same PDF iima.ac.in. Target CAT percentiles   Category Safe Percentile General/EWS ≥ 99.5 NC-OBC/EWS/Trans ≥ 98.5 SC ≥ 95 ST ≥ 90 PwD ≥ 95   IIM Bangalore (B) Eligibility Bachelor’s ≥ 50% (45% for SC/ST/PwD). ac.iniimb.ac.in Stage I (Pre-PI) Shortlisting   Category VARC ≥ DILR ≥ QA ≥ Overall ≥ Gen 80 80 80 85 NC-OBC 70 70 70 75 EWS 70 70 70 75 SC 60 60 60 70 ST 55 55 55 65 PwD 50 50 50 60 iimb.ac.in Pre-PI score (100 pt) CAT (55): VARC 19 + DILR 21 + QA 15 10th: 10, 12th: 10, Graduation: 10 Work-ex/prof course: 10 Gender diversity (female/trans): 5 Missing components re-weighted if COVID gaps iimb.ac.in Stage II Final Selection   Component Weight PI 40% WAT 10% CAT 25% 10th 5% 12th 5% Graduation 5% Work-ex/prof course 10% Gender bonus not carried forward to Stage II iimb.ac.in.   Target CAT percentiles   Category Safe Percentile General/EWS ≥ 99 NC-OBC ≥ 97 SC ≥ 90 ST ≥ 85 PwD ≥ 85   IIM Calcutta (C) Eligibility Bachelor’s ≥ 50% (45% for SC/ST/PwD). ac.in Stage I Shortlisting   Category VARC ≥ DILR ≥ QA ≥ Overall ≥ OPEN 80 80 75 85 EWS 70 65 65 75 NC-OBC 70 65 65 75 SC 65 60 60 70 ST 55 55 55 65 PwD 45 45 45 55 iimcal.ac.in Stage II & III Stage II: WAT + PI (weight undisclosed in public doc; likely ≈ 50% combined). Stage III: Final merit based on CAT (~ 60–66%), PI/WAT, academics, work-ex & Final weights typically mirror peers (~ PM = 40%, WAT 10%, CAT 25–30%, academics 10%, work-ex 10%). Target CAT percentiles   Category Safe Percentile OPEN ≥ 99.5 NC-OBC/EWS ≥ 98 SC ≥ 95 ST ≥ 90 PwD ≥ 90   IIM Indore (I) Eligibility Bachelor’s ≥ 50% (45% for SC/ST/PwD). ac.in Stage I Shortlisting   Category QA ≥ DILR ≥ VARC ≥ Overall ≥ Gen 80.00 80.00 80.00 90.00 EWS 80.00 80.00 80.00 90.00 NC-OBC 70.00 70.00 70.00 80.00 SC 55.00 55.00 55.00 60.00 ST 40.00 40.00 40.00 45.00 PwD 40.00 40.00 40.00 45.00 iimidr.ac.in Stage II (PI) Shortlist CS   Component Weight 10th 39% 12th 20% CAT (sectional sum) 36% Diversity factor 5% Diversity = gender & academic; re-allocation if COVID gaps iimidr.ac.in. Stage III Final Selection   Component Weight PI 45% CAT (scaled) 40% 10th 5% 12th 5% Diversity factor 5% FCS table from same PDF iimidr.ac.in. Target CAT percentiles   Category Safe Percentile Gen/EWS ≥ 99 NC-OBC ≥ 97 SC ≥ 92 ST/PwD ≥ 85   IIM Lucknow (L) Eligibility Bachelor’s ≥ 50% (45% for SC/ST/PwD). ac.in Stage I Shortlisting   Category VARC ≥ DILR ≥ QA ≥ Overall ≥ Gen 85 85 85 90 EWS 77 77 77 82 NC-OBC 77 77 77 82 SC 55 55 55 65 ST 50 50 50 60 PwD 50 50 50 60 iiml.ac.in Composite Score (Stage 1b) Scaled CAT: 60% 12th + Graduation: 10% (5% each) Diversity factors: 5% Work-ex: 5% WAT: 10% PI: 40% in Stage 2 ac.in Stage II Final Selection   Component Weight PI 40% WAT 10% CAT 30% Academics (10+12) 10% Work-ex 5% Diversity 5% From “Table 4” of 2023-25 policy iiml.ac.in. Target CAT percentiles   Category Safe Percentile Gen/EWS ≥ 99 NC-OBC ≥ 97 SC ≥ 90 ST/PwD ≥ 85   IIM Kozhikode (K) Eligibility Graduation ≥ 60% (50% for CA/ICWA/CS only). ac.in Stage I Registration Positive CAT raw in all iimk.ac.in Stage II Shortlisting (AIS)   Component Weight CAT Index (scaled avg of 3 secs) 50% Class X % (normalized to board max) 15% Class XII % (normalized to board) 20% Gender/Academic diversity (max of one) 10% / 5% Work-experience (months → 5%) 5% iimk.ac.in Stage III Final Selection   Component Weight CAT Index 35% PI 35% WAT 20% Resume score 10% iimk.ac.in Resume score (10%) from: NIRF-top 30 undergrad: 4 pts CA/ICWA/CS cert: 4 pts CFA-I/II/III: 4 pts ac.in Target CAT percentiles   Category Safe Percentile Gen ≥ 99 OBC-NCL/EWS ≥ 97   Category Safe Percentile SC ≥ 92 ST/PwD ≥ 85   IIM Shillong (S) Eligibility Bachelor’s ≥ 50% (45% for SC/ST/PwD). ac.in Phase 1 Shortlisting   Category VARC ≥ DILR ≥ QA ≥ OT (Gen) 75 75 75

Final Placements (2022–2025) of Leading Indian B-Schools

IIMs (Ahmedabad, Bangalore, Kolkata, Lucknow, Indore, Kozhikode, etc.): The older IIMs continue to lead on compensation. For example, IIM Ahmedabad (PGP) placed all students in March 2023 with an average CTC ~₹34.4 LPA (up from ₹32.8 LPA in 2022); the highest international offer was ₹1.15 Cr (≈₹115 LPA). Consulting dominated (McKinsey made 34 offers and BCG 33 offers)indianexpress.com. IIM Bangalore (PGP) (Batch 2022–24) reported median ₹32.50 LPA, mean ₹35.92 LPAiimb.ac.in, with 100% of its ~517 students placed. In 2023–25 placements, the 602-member class averaged ₹34.88 LPA (median ₹32.61 LPA)iimb.ac.in. Consulting again led (41% of offers) followed by IT and financeiimb.ac.in; top recruiters included Accenture Strategy (75 offers), BCG (25), Amex (20), Bain (17), PwC (16), McKinsey (14)iimb.ac.in. IIM Calcutta (PGPEx) – its 2022–24 Executive MBA (Batch 17) saw mean ₹32.68 LPA, median ₹32.27 LPAiimcal.ac.in with highest ₹52 LPA. IT was the largest sector (46% of offers) followed by Consulting (22%)iimcal.ac.in. (Older IIMs Lucknow and Indore report averages in the mid-20s LPA; e.g. combined IIM Indore PGP+IPM (2023–25) averaged only ~₹25.7 LPAiimidr.ac.in, reflecting a large dual-degree batch.) IIM Kozhikode (PGP): 2023 placements (Batch 2021–23) achieved mean ₹31.02 LPA, median ₹27.00 LPAiimk.ac.in. The largest sectors were Consulting (33%) and Finance (26%)iimk.ac.in. In 2024, average dipped to ₹28.05 LPA (median ~₹27 LPA)scribd.com. Top domain salaries were high (e.g. highest CTC increased to ₹72.02 LPA)scribd.com. IIM Kozhikode placed all ~556 students. Other IIMs: Newer IIMs (e.g. Rohtak, Ranchi, Raipur, Trichy, Sirmaur, Jammu, Bodh Gaya) saw average salaries typically in ₹20–25 LPA (much lower than legacy IIMs) with top recruiters often from IT/BFSI. All IIMs maintained ~100% placement (barring a few late opt-outs) in 2023–25. Other Premier Schools   Institute (Program) Average CTC (LPA) Median CTC (LPA) Notes (Top recruiters/sectors) IIM Ahmedabad (PGP 2023) ~34.4 – (not published) BCG 34 offers, BCG 33indianexpress.com; consulting ↑ IIM Bangalore (PGP 2024)   35.92iimb.ac.in   32.50iimb.ac.in Top recruiters: Accenture, McKinsey, BCG, Bain etc.iimb.ac.in (consulting 41%iimb.ac.in) XLRI Jamshedpur (PGDM 2023)   32.7   30.0 100% placed (463 students); median up 6% YoY; top sectors: Consulting, BFSI, FMCG; highest dom. ₹78.2 SPJIMR Mumbai (PGDM 2025)   32.0spjimr.org   30.5spjimr.org 100% placed (336 students); top sectors: Consulting, FMCG, GM, BFSI, Techspjimr.org; highest ₹89 L (Intl) FMS Delhi (MBA 2023)   34.1   31 ≈100% placed; highest ₹1.23 Cr dom.; strong in Finance & Consulting; avg up from ₹32.4 L (2022) Institute (Program) Average CTC (LPA) Median CTC (LPA) Notes (Top recruiters/sectors)   MDI Gurgaon (PGDM 2025)   26.2mbauniverse.com   ~25 (not given) 100% placed (~578 students); Consulting & BFSI largest sectors; avg stagnant (2022–25)mbauniverse.com; top 25% ave ₹35.5 L   IMT Ghaziabad (PGDM 2025)     16.25imt.edu     15.0imt.edu ~90% placed; women avg ₹17.28 L vs men ₹15.77 Limt.edu; highest ₹41.55 Limt.edu; top sectors: BFSI, IT/ITES, Consulting, FMCG (70% offers)imt.edu   ISB Hyderabad (PGP 2023)   33.3goalisb.com   32goalisb.com ~95% placed; top domains: Consulting, Tech, Finance; 36% female in batch; top recruiters: MBB, Big Tech, JPMC, etc. (placement report)goalisb.com Others (selected)   – XIM Bhubaneswar (MBA ~19.5 (2024) (median ~18)shiksha.com   – ~99% placed (249 students); sectors: Consulting (30%), IT (25%), BFSI (20%); top recruiters: TCS, Infosys, RPG, HDFC, – IIFT Delhi (MBA-IB 2024) ~27 (drop from ~29)insideiim.com ~25insideiim.com Consulting/BFSI heavy; top salary ₹85 L (Intl) – JBIMS Mumbai (MJIM 2023) ~26 (est.), median ~25 (est.)   – All placed; top sectors: BFSI, Consulting, FMCG, Tech; top package ~₹40 L. – NMIMS Mumbai (PGDM 2024)   ~16–17 (est.)   ~15 All placed; tech/consulting bulk; top offer ~₹21 L – MICA Ahmedabad (PGDM 2023)   ~14–15   ~14 Media/marketing focused; top recruiters: HUL, Wipro, DDB Mudra, Google, Snapdeal. – SIBM Pune (PGP 2023) ~20 (est.) ~18 IT/Tech (Wipro, TCS), FMCG (P&G), Auto (Maruti), Consulting (Genpact). Notes on trends: Most top schools saw modest salary gains in 2022–25. For instance, XLRI’s median rose ~3.6% to ₹30 LPA; FMS’s average hit a record ₹34.1 LPA; IIM Ahmedabad’s average grew 5% year-on-year. In contrast, mid-tier schools (e.g. MDI, XIMB, IMT) saw flatter growth. Across schools, consulting, finance/BFSI, and IT/e-commerce remain the largest hiring sectors. Functionally, leadership/general management, sales/marketing, and analytics roles feature prominently in these offers. Sector Preference MBA Graduates India Here’s a comprehensive sector-wise breakdown of final placements at select top Indian B-schools, based on the latest verified data for 2024–25. This includes IIM Bangalore, XLRI Jamshedpur, SPJIMR Mumbai, and IIM Lucknow. IIM Bangalore (PGP 2024 – 517 students) Sector-wise Offers (517 students, 572 offers): Consulting: 218 offers (≈42%) — top firms: Accenture, McKinsey, BCG, EY Parthenon, Kearney, Bain, Strategy& . Finance/Banking/Investments: 81 offers (16%) — recruiters: Goldman Sachs, JP Morgan, Barclays, Morgan Stanley, Credit Saison . IT & Analytics: 49 offers (9%) — Microsoft, Browserstack, HCL Tech, Atlassian, Salesforce . E-commerce/Payments/Telecom: 49 offers (9%) — Amazon, American Express, Airtel . Manufacturing/Construction/Energy: 36 offers (7%) — Asian Paints, Jindal, Tata Steel . Conglomerates: 30 offers (5%) — Adani, Reliance, Vedanta . FMCG/Retail: 28 offers (5%) — ITC, P&G, Diageo . Analytics/AI/ML: 13 offers (2%) — Games24x7, Ease, Thoughtspot . Healthcare: 12 offers (2%) — Sun Pharma, Syngene, UHG . Insight: Over 40% of roles came from consulting, followed by ~25% from Finance + IT. Product and e-commerce roles also contributed meaningfully. xlridelhi.ac.in+11reddit.com+11education.indianexpress.com+11 XLRI Jamshedpur (PGDM – Class of 2025, 503 students)  Sector-wise Offer Distribution: Consulting: ~29% — top recruiters: Accenture Strategy, BCG, Bain, PwC, EY, Deloitte ITES/ E-commerce/ Gaming: ~27% — Amazon, Google, Microsoft, Flipkart, PayTM, Uber Sales & Marketing: ~25% — roles in consumer goods and brand management . FMCG/Pharma/Real-estate: Participants from HUL, ITC, Asian Paints, Sun Pharma, Colgate, Coca-Cola. BFSI: Included JP Morgan, Mastercard, AmEx, HSBC Auto, Energy, Telecom: Mercedes, Bajaj, Shell, Airtel General Management: Roles at Mahindra, Aditya Birla, Offer Volume by Top Recruiters (2023–25 cycle): Consulting – 30 (Accenture); BFSI – 8; FMCG – 25 (Bajaj Auto); Conglomerates – 11; IT/E-commerce – 41 offers (Amazon lead).   SPJIMR Mumbai (PGDM 2024, 292 students) Placement Highlights: Average salary: ₹33 LPA | Median: ₹31.5 LPA | Highest: ₹81 ~34% offers ≥₹35 LPA; ~71% ≥₹30 LPA; 90% ≥₹25 Sector-wise Distribution: Consulting:

CAT 2026: The Perfect Time to Start — Build Strong Foundations with Magic Toolkit

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