LTIMindtree Syllabus 2026
The full LTIMindtree syllabus for 2026: every round, the topics tested in each, question counts and durations, with practice for each topic.
3
Selection rounds
Medium
Difficulty
4 – 8 LPA
Package
5k+
Learners preparing
LTIMindtree round-by-round syllabus
| Round | What it covers | Type |
|---|---|---|
| Quantitative Ability | ~12-15 MCQs in ~15-25 min on arithmetic, number systems, percentages, ratio, time-speed-distance, probability and data interpretation. | Elimination |
| Logical Ability | ~12-15 MCQs in ~15-25 min on series, coding-decoding, blood relations, syllogisms, seating arrangement and pattern recognition. | Elimination |
| English / Verbal & Spoken English | Reading comprehension, sentence correction and vocabulary MCQs plus an automated Spoken English (SVAR) module scoring pronunciation and fluency. | Elimination |
| Computer Science MCQs | ~20 questions in ~20 min on DSA, OOP, DBMS/SQL, operating systems, networking and programming fundamentals. | Elimination |
| Coding Round | 2 programming problems in ~60 min (C/C++/Java/Python) with hidden test cases; 2025-26 cycle adds AI-assisted evaluation of the code. | Elimination |
| Technical Interview | Face-to-face on core CS, projects and coding; strongest filter before the offer. | Elimination |
| HR Interview | Communication, personality, flexibility and cultural fit; psychometric profile informs the discussion. | Final |
Topics tested in the LTIMindtree test
Quantitative Aptitude
- Number systems & HCF/LCM
- Percentages, profit & loss
- Ratio, proportion & averages
- Time, speed, distance & work
- Permutation, combination & probability
- Data interpretation
Logical Reasoning
- Number & letter series
- Coding-decoding
- Blood relations
- Syllogisms
- Seating arrangement & puzzles
- Directions & analogies
Verbal & Spoken English
- Reading comprehension
- Sentence correction & grammar
- Synonyms/antonyms & vocabulary
- Para-jumbles
- Error spotting
- Automated spoken English (SVAR)
Computer Science (Technical MCQ)
- Data structures & algorithms
- OOP concepts
- DBMS & SQL
- Operating systems
- Computer networks
- Programming fundamentals
Coding
- Arrays & strings
- Recursion & math logic
- Sorting & searching
- Time-complexity optimization
- Pattern & implementation problems
- Language fluency (C/C++/Java/Python)
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