The GATE 2026 Computer Science and Information Technology Syllabus is designed to assess comprehensive understanding of undergraduate-level concepts in Computer Science and Information Technology. Understanding the complete syllabus is crucial for effective preparation and achieving success in the GATE 2026 examination organized by IIT Guwahati.
The GATE 2026 Computer Science and Information Technology (CS) syllabus covers fundamental to advanced topics that form the core curriculum of undergraduate Computer Science programs. Candidates appearing for GATE 2026 must thoroughly study all topics mentioned in the official syllabus to maximize their score.
GATE 2026 Computer Science Syllabus Overview
The GATE 2026 CS paper tests candidates on three main sections:
- General Aptitude (GA): 15 marks, 10 questions
- Engineering Mathematics: 15 marks, 10 questions
- Computer Science and Information Technology (CS): 70 marks, 45 questions
GATE 2026 Computer Science Syllabus Topics
The GATE 2026 Computer Science and Information Technology syllabus is organized into the following broad sections:
1. Engineering Mathematics
Discrete Mathematics, Linear Algebra, Calculus, and Probability and Statistics.
2. Digital Logic
Boolean algebra, Combinational and Sequential circuits, Minimization, Number representations and computer arithmetic.
3. Computer Organization and Architecture
Machine instructions and addressing modes, ALU, data-path and control unit, Instruction pipelining, Memory hierarchy, and I/O interface.
4. Programming and Data Structures
Programming in C, Recursion, Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, and graphs.
5. Algorithms
Searching, sorting, hashing, Asymptotic worst case time and space complexity, Algorithm design techniques, Graph traversals, minimum spanning trees, and shortest paths.
6. Theory of Computation
Regular expressions and finite automata, Context-free grammars and push-down automata, Regular and context-free languages, Turing machines and undecidability.
7. Compiler Design
Lexical analysis, parsing, syntax-directed translation, Runtime environments, Intermediate code generation, and Data flow analyses.
8. Operating System
System calls, processes, threads, inter-process communication, concurrency and synchronization, Deadlock, CPU and I/O scheduling, Memory management and virtual memory, File systems.
9. Databases
ER-model, Relational model, SQL, Integrity constraints, normal forms, File organization, indexing, Transactions and concurrency control.
10. Computer Networks
Concept of layering, OSI and TCP/IP Protocol Stacks, Data link layer, Routing protocols, IP addressing, Transport layer, and Application layer protocols.
Download GATE 2026 Computer Science Syllabus PDF
For detailed topics and subtopics within each section mentioned above, please download the official GATE 2026 Computer Science and Information Technology syllabus PDF. The PDF contains the complete, detailed syllabus as published by IIT Guwahati, including all specific topics and subtopics that will be covered in the examination.
GATE 2026 Exam Pattern for Computer Science
| Section | Marks | Questions |
|---|---|---|
| General Aptitude | 15 | 10 |
| Engineering Mathematics | 15 | 10 |
| Computer Science and Information Technology (CS) | 70 | 45 |
| Total | 100 | 65 |
Why GATE 2026 Computer Science Syllabus is Important?
The GATE 2026 Computer Science syllabus helps you:
- Understand the exact scope of topics including Data Structures, Algorithms, Operating Systems, DBMS, Computer Networks, and more
- Plan your study schedule effectively by prioritizing important topics
- Identify areas that require more attention and practice
- Ensure comprehensive coverage of all subjects without missing any important topics
Preparation Tips for GATE 2026 Computer Science
1. Focus on Core Subjects
Computer Science syllabus includes Data Structures, Algorithms, Operating Systems, DBMS, Computer Networks, Theory of Computation, and more. Allocate time based on weightage.
2. Practice Programming and Problem Solving
Regular practice of programming problems and algorithm design is crucial for scoring well in the CS paper.