GATE CS Syllabus 2027
The GATE CS syllabus 2027 lists every topic that can appear in the Computer Science and Information Technology paper (paper code CS). It has ten subject sections plus General Aptitude, and it is the one document you should build your whole preparation around. IIT Madras, the organising institute for GATE 2027, has revised the syllabi of the 2027 test papers, so a quick check against the official list is worth doing before you trust older notes.
This page breaks the syllabus into subjects and topics, shows where each subject sits in the 100-mark paper, suggests a sensible order of study and explains how to turn the list into a tracker. For the exact wording of the syllabus, always refer to the official CS syllabus PDF.
GATE CS Syllabus 2027 at a Glance
The paper has 65 questions for 100 marks. General Aptitude carries 15 marks, Engineering Mathematics carries 13 marks and the core Computer Science subjects together carry 72 marks, as stated in the official paper structure.
Part of the paper | Marks | What it contains |
|---|---|---|
General Aptitude | 15 | Verbal and numerical ability, common to every GATE paper |
Engineering Mathematics | 13 | Discrete mathematics, linear algebra, calculus, probability and statistics |
Core Computer Science subjects | 72 | Nine subjects, from Digital Logic to Computer Networks |
Total | 100 | 65 questions, 3 hours |
The marks are fixed for each part, but the official papers do not publish a fixed mark count for every individual subject. The weight a subject gets can change from year to year, so treat any subject-wise split you see elsewhere as an observation from past papers, not a rule.
What Changed in the GATE 2027 Syllabus
The official GATE 2027 website carries a notice that the syllabi of the 2027 test papers have been revised and asks candidates to check the updated versions. The ten subject sections of the CS paper remain recognisable, but the notice does not say topic by topic what moved. Do not rely on a memory of the previous year's list.
Download the latest PDF: keep the 2027 CS syllabus PDF open next to your notes.
Compare against your material: tick each topic against your textbooks, video lectures and question banks, and mark anything you cannot find a source for.
Be careful with older question banks: previous-year questions are still excellent practice, but a question on a topic that is no longer listed should not take up study time.
Subject-wise GATE CS Syllabus 2027
The sections below follow the order used in the official syllabus. Topic names are summarised for readability, so use the PDF as the final reference.
1. Engineering Mathematics
This section supports almost everything else in the paper, from algorithm analysis to automata theory, and it carries 13 marks on its own.
Discrete Mathematics: propositional and first-order logic, sets, relations, functions, partial orders and lattices, monoids and groups, graph connectivity, matching and colouring, and combinatorics including counting and recurrence relations
Linear Algebra: matrices, determinants, systems of linear equations, eigenvalues and eigenvectors, and LU decomposition
Calculus: limits, continuity, differentiability, maxima and minima, the mean value theorem and integration
Probability and Statistics: random variables, common distributions such as uniform, normal, exponential, Poisson and binomial, measures like mean, median, mode and standard deviation, conditional probability and Bayes theorem
2. Digital Logic
Boolean algebra: minimisation of Boolean functions
Combinational circuits: design and analysis of circuits such as adders, multiplexers and decoders
Sequential circuits: flip-flops, counters and registers
Number representation: fixed and floating point formats and arithmetic operations
3. Computer Organization and Architecture
Machine instructions: instruction set, addressing modes and instruction formats
Processor design: ALU and data path, and hardwired and microprogrammed control unit approaches
Memory: memory hierarchy, cache organisation, main memory and secondary storage
I/O interfacing: interrupts and DMA
Pipelining: instruction pipelines and the hazards that disturb them
4. Programming and Data Structures
Programming in C: data types, pointers, functions, scope and recursion, with emphasis on tracing the output of short programs
Linear structures: arrays, stacks, queues and linked lists
Non-linear structures: trees, binary search trees, heaps and graphs
5. Algorithms
Searching, sorting and hashing: standard methods and their behaviour
Complexity: asymptotic analysis of best, worst and average cases, and recurrence solving
Design paradigms: greedy, dynamic programming and divide and conquer
Graph algorithms: traversals, shortest paths and minimum spanning trees
6. Theory of Computation
Regular languages: finite automata, regular expressions and their closure properties
Context-free languages: grammars and pushdown automata
Computability: Turing machines, decidability and undecidability, and the pumping lemmas used to prove that a language is not regular or context-free
7. Compiler Design
Front end: lexical analysis, parsing techniques and syntax-directed translation
Back end: runtime environments, intermediate code generation, local optimisation and data flow analysis
8. Operating System
Processes and threads: system calls, scheduling and context switching
Concurrency: inter-process communication, synchronisation and deadlock
Memory management: paging, segmentation and virtual memory
Files and I/O: file systems and I/O scheduling
9. Databases
Data modelling: ER model and the relational model
Query languages: relational algebra, tuple calculus and SQL
Design: integrity constraints, functional dependencies and normal forms
Storage and transactions: file organisation, indexing such as B and B+ trees, transactions and concurrency control
10. Computer Networks
Layering: the layered models and the role of each layer
Lower layers: switching, data link layer, framing, error control and medium access
Network layer: routing, IPv4 addressing and subnetting
Transport and application layers: TCP flow and congestion control, DNS and HTTP
General Aptitude
General Aptitude carries 15 marks and is common to every GATE paper. It tests verbal ability (grammar, vocabulary, reading comprehension, sentence completion) and numerical ability (arithmetic, ratio, percentages, data interpretation, reasoning). It has 10 questions, which makes it the quickest part of the paper to secure with regular practice.
How the Syllabus Maps to the Paper
The table below links each subject to the kind of questions you should expect. This is a study aid built from the structure of the paper and past patterns, not an official weightage list.
Subject | Typical question style | How to practise |
|---|---|---|
Engineering Mathematics | Short calculations, counting and probability problems, logic statements | Solve timed sets and double-check arithmetic |
Digital Logic | Minimisation, circuit analysis, number conversion | Draw the circuit or table every time |
Computer Organization and Architecture | Cache and pipeline calculations, instruction formats | Memorise formulas and practise numerical problems |
Programming and Data Structures | Program tracing, output prediction, tree and heap operations | Trace code by hand before checking |
Algorithms | Complexity, recurrences, applying a design technique | Practise recognising which paradigm fits |
Theory of Computation | Language classification, automata construction, closure properties | Work from examples and counter-examples |
Compiler Design | Parsing tables, first and follow sets, optimisation | Build tables step by step |
Operating System | Scheduling calculations, synchronisation, paging problems | Draw timelines and page tables |
Databases | SQL output, normal forms, transaction schedules | Decompose relations on paper |
Computer Networks | Subnetting, throughput, protocol behaviour | Practise addressing and window calculations |
Suggested Order of Study
Subjects depend on each other, so the order matters. One workable sequence is:
Foundations first: Programming and Data Structures, then Discrete Mathematics, because trees, graphs and logic feed into several later subjects.
Algorithms and Theory of Computation: once data structures are comfortable, algorithm design and automata make more sense.
Systems subjects: Digital Logic, Computer Organization and Architecture, Operating System and Compiler Design, which share ideas about memory and instruction execution.
Data and networks: Databases and Computer Networks, which are heavily concept- and calculation-based.
Alongside everything: a short daily slot for General Aptitude and the rest of Engineering Mathematics.
The paper is held in February 2027, so a candidate starting in October has limited time. In that case, complete first-pass coverage of the syllabus quickly and spend the remaining weeks on practice. Our GATE CS exam pattern guide explains how to split your time in the three-hour paper.
How to Use the Syllabus as a Study Tracker
Split each subject into topics: use the PDF headings as rows in a simple sheet.
Rate yourself honestly: mark each topic as not started, learning, practised or revised.
Link practice to topics: after every test, note which topic each wrong answer belongs to. Over a few tests, the weak topics become obvious.
Revise in cycles: return to each subject at intervals instead of finishing it once and moving on.
Practising the GATE CS Syllabus on Testkart
Reading a topic list is the easy part. The real check is solving questions under time pressure. Testkart offers online mock tests for GATE CS that follow the 65-question, 100-mark format, so you can attempt the full paper and see how your marks are spread across subjects. Topic-wise practice is also useful once you finish a subject. Use GATE CS test series and previous-year question practice to find which parts of the syllabus need another round.
If you are a teacher or coaching educator preparing students for GATE, you can build subject-wise tests on Testkart that follow this syllabus and share them with your batch. See how to create and manage tests on Testkart for the steps.
Quick Checklist Before You Start
Open the official CS syllabus PDF and save it.
Confirm exam dates and any updates on the official GATE 2027 test papers and syllabus page.
Compare the 2027 list with your current notes and fill any gaps.
Plan a first pass, a practice phase and a mock-test phase.
A syllabus is only useful if it turns into a plan. Pick the subject you are weakest in, schedule it first, and let regular tests tell you how the plan is working.
Frequently Asked Questions
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