GATE CS 2025 : Syllabus

GATE CS 2025 : Syllabus

IIT Roorkee has released the GATE syllabus for Computer Science Engineering (CSE) 2025 along with the GATE 2025 notification. To do well in this exam, you need to look at the full GATE CSE 2025 syllabus before making your study plan. The GATE exam checks your understanding of undergraduate subjects in engineering and science for admission into master’s programs.

Aspirants should carefully read the detailed syllabus for the GATE CSE 2025 exam. This helps you find and focus on the topics you need to improve. The GATE syllabus for Computer Science Engineering (CSE) includes important areas like Engineering Mathematics, Digital Logic, Computer Organization and Architecture, Programming and Data Structures, Algorithms, Theory of Computation, Compiler Design, Operating Systems, Databases, and Computer Networks.

GATE 2025 Syllabus for CSE PDF-Download Here

GATE Syllabus for Computer Science Engineering

Subject	Topics Covered
Engineering Mathematics	- Discrete Mathematics: Propositional and first-order logic, sets, relations, functions, partial orders, lattices, monoids, groups, graphs (connectivity, matching, colouring), combinatorics (counting, recurrence relations, generating functions). - Linear Algebra: Matrices, determinants, systems of linear equations, eigenvalues, eigenvectors, LU decomposition. - Calculus: Limits, continuity, differentiability, maxima and minima, mean value theorem, integration. - Probability and Statistics: Random variables (uniform, normal, exponential, Poisson, binomial distributions), mean, median, mode, standard deviation, conditional probability, Bayes theorem.
Digital Logic	- Boolean algebra, combinational and sequential circuits, minimization, number representations and computer arithmetic (fixed and floating point).
Computer Organization and Architecture	- Machine instructions and addressing modes, ALU, data-path, control unit, instruction pipelining, pipeline hazards, memory hierarchy (cache, main memory, secondary storage), I/O interface (interrupt and DMA mode).
Programming and Data Structures	- Programming in C, recursion, arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs.
Algorithms	- Searching, sorting, hashing, asymptotic worst-case time and space complexity, algorithm design techniques (greedy, dynamic programming, divide-and-conquer), graph traversals (minimum spanning trees, shortest paths).
Theory of Computation	- Regular expressions, finite automata, context-free grammars, push-down automata, regular and context-free languages, pumping lemma, Turing machines, undecidability.
Compiler Design	- Lexical analysis, parsing, syntax-directed translation, runtime environments, intermediate code generation, local optimization, data flow analyses (constant propagation, liveness analysis, common subexpression elimination).
Operating System	- System calls, processes, threads, inter-process communication, concurrency, synchronization, deadlock, CPU and I/O scheduling, memory management, virtual memory, file systems.
Databases	- ER-model, relational model (relational algebra, tuple calculus, SQL), integrity constraints, normal forms, file organization, indexing (B and B+ trees), transactions, concurrency control.
Computer Networks	- Concept of layering (OSI and TCP/IP Protocol Stacks), basics of packet, circuit, and virtual circuit switching, data link layer (framing, error detection, medium access control, Ethernet bridging), routing protocols (shortest path, flooding, distance vector, link state routing), fragmentation and IP addressing (IPv4, CIDR notation), basics of IP support protocols (ARP, DHCP, ICMP), network address translation (NAT), transport layer (flow control and congestion control, UDP, TCP, sockets), application layer protocols (DNS, SMTP, HTTP, FTP, Email).