GATE CSE syllabus 2026
Explore 2 syllabus sections, download the source PDF and connect your revision to relevant previous year questions.
01 · EXPLORE THE SCOPE
Your syllabus at a glance
Choose a section to read its topics. Core and special topics follow the source document’s grouping; practice links appear where a catalog topic matches.
Computer Science and Information Technology
Section 1: Engineering Mathematics · Section 2: Digital Logic · Section 3: Computer Organization and Architecture
General Aptitude
Verbal Aptitude · Quantitative Aptitude · Analytical Aptitude
02 · SUBJECTS & TOPICS
Read the detailed syllabus
Use this as a revision checklist. Read the linked source PDF for the official wording and paper instructions.
Computer Science and Information Technology
Topics and scope
10 topicsSection 1: Engineering Mathematics
- Discrete Mathematics: Propositional and first order logic. Sets, relations, functions, partial orders and lattices. Monoids, Groups. Graphs: connectivity, matching, colouring. Combinatorics: counting, recurrence relations, generating functions.
- Linear Algebra: Matrices, determinants, system of linear equations, eigenvalues and eigenvectors, LU decomposition.
- Calculus: Limits, continuity and differentiability, Maxima and minima, Mean value theorem, Integration.
- Probability and Statistics: Random variables, Uniform, normal, exponential, Poisson and binomial distributions. Mean, median, mode and standard deviation. Conditional probability and Bayes theorem.
Section 2: Digital Logic
Boolean algebra. Combinational and sequential circuits. Minimization. Number representations and computer arithmetic (fixed and floating point).
Section 3: Computer Organization and Architecture
Machine instructions and addressing modes. ALU, data path and control unit. Instruction pipelining, pipeline hazards. Memory hierarchy: cache, main memory and secondary storage. I/O interface (interrupt and DMA mode).
Section 4: Programming and Data Structures
Programming in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs.
Section 5: Algorithms
Searching, sorting, hashing. Asymptotic worst case time and space complexity. Algorithm design techniques: greedy, dynamic programming and divide-and-conquer. Graph traversals, minimum spanning trees, shortest paths.
Section 6: Theory of Computation
Regular expressions and finite automata. Context-free grammars and push-down automata. Regular and context-free languages, pumping lemma. Turing machines and undecidability.
Section 7: Compiler Design
Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate code generation. Local optimisation, Data flow analyses: constant propagation, liveness analysis, common sub expression elimination.
Section 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.
Section 9: Databases
ER model. Relational model: relational algebra, tuple calculus, SQL. Integrity constraints, normal forms. File organization, indexing (e.g., B and B+ trees). Transactions and concurrency control.
Section 10: 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 and 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.
General Aptitude
Topics and scope
4 topicsVerbal Aptitude
- Basic English grammar: tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech
- Basic vocabulary: words, idioms, and phrases in context.
- Reading and comprehension, Narrative sequence.
Quantitative Aptitude
- Data interpretation: data graphs (bar graphs, pie charts, and other graphs representing data), 2- and 3-dimensional plots, maps, and tables
- Numerical computation and estimation: ratios, percentages, powers, exponents and logarithms, permutations and combinations, and series. Mensuration and geometry. Elementary statistics and probability.
Analytical Aptitude
Logic: deduction and induction, Analogy, Numerical relations and reasoning.
Spatial Aptitude
- Transformation of shapes: translation, rotation, scaling, mirroring, assembling, and grouping
- paper folding, cutting, and patterns in 2 and 3 dimensions.
03 · PUT IT INTO PRACTICE
Turn the syllabus into a study routine
Learn, practise, then revisit
- Mark topics as new, learning or ready for revision.
- Study prerequisites, then attempt a small relevant PYQ set.
- Record the reason for each mistake and revise before increasing speed.
- Attempt a complete previous paper to check timing and mixed-topic recall.
Version, sources and coverage
Archived 2026 syllabus
Confirm upcoming-exam scope with the current organizing institute.
This taxonomy was extracted from the 2026 paper archive. Year-to-year changes have not been independently compared.
Some sections have no practice link because links require matching catalog labels. Imported tags do not establish complete coverage of every official subtopic.