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GATE Computer Science Free Mock Test
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GATE Computer Science Syllabus 2027, Exam Pattern
GATE Computer Science and Information Technology Syllabus 2027, Exam Pattern, Exam Date 2027
Detail Information about GATE has published notification 2027 for the notification of Computer Science & Information Technology entrance exam. Those Candidates who are Interested to the following entrance exam and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this notification with Latest Update Exam Pattern and the Exam Date also.
GATE 2027 Exam Highlights
| Examination Name | Graduate Aptitude Test in Engineering (GATE) |
| Commonly Known As | GATE |
| GATE 2023 organising Institute | IIT Guwahati |
| Administered By | Jointly by IISc Bangalore and Seven IITs |
| Purpose of Examination | Qualifying Examination for M.E./ M.Tech/ Ph.D admissions and PSU Recruitment |
| Application Mode | Online |
| Mode of Examination | Computer-Based Mode |
| Examination Duration | 180 Minutes (3 Hours) |
| Exam Date 2027 | 06th, 7th, 13th, 14th, 20th, 21st February 2027 |
| Frequency of Examination | Annual |
| Number of GATE Papers | 29 |
| Validity of GATE Score/Grade | 3 Years |
| Official website | gate2027.iitg.ac.in |
GATE Computer Science and Information Technology Syllabus 2027
General Aptitude :-
Verbal Aptitude :
1. Basic English grammar
2. Tenses
3. Articles
4. Adjectives
5. Prepositions
6. Conjunctions
7. Verb-noun agreement and other parts of speech
8. Basic vocabulary
9. Words
10. Idioms
11. Phrases in context
12. Reading and comprehension
13. Narrative sequencing
Quantitative Aptitude :
1. Data interpretation
2. Data graphs (bar graphs, pie charts, and other graphs representing data)
3. 2- and 3-dimensional plots
4. Maps
5. Tables
6. Numerical computation and estimation
7. Ratios
8. Percentages
9. Powers
10. Exponents and logarithms
11. Permutations and combinations
12. Series
13. Mensuration and geometry
14. Elementary statistics
15. Probability
Analytical Aptitude :
1. Logic: deduction and induction
2. Analogy
3. Numerical relations and reasoning
Spatial Aptitude :
1. Transformation of shapes
3. Translation
4. Rotation
5. Scaling
6. Mirroring
7. Assembling
8. Grouping
9. Paper folding
10. Cutting
11. Patterns in 2 and 3 dimensions
1. Basic English grammar
2. Tenses
3. Articles
4. Adjectives
5. Prepositions
6. Conjunctions
7. Verb-noun agreement and other parts of speech
8. Basic vocabulary
9. Words
10. Idioms
11. Phrases in context
12. Reading and comprehension
13. Narrative sequencing
Quantitative Aptitude :
1. Data interpretation
2. Data graphs (bar graphs, pie charts, and other graphs representing data)
3. 2- and 3-dimensional plots
4. Maps
5. Tables
6. Numerical computation and estimation
7. Ratios
8. Percentages
9. Powers
10. Exponents and logarithms
11. Permutations and combinations
12. Series
13. Mensuration and geometry
14. Elementary statistics
15. Probability
Analytical Aptitude :
1. Logic: deduction and induction
2. Analogy
3. Numerical relations and reasoning
Spatial Aptitude :
1. Transformation of shapes
3. Translation
4. Rotation
5. Scaling
6. Mirroring
7. Assembling
8. Grouping
9. Paper folding
10. Cutting
11. Patterns in 2 and 3 dimensions
Engineering Mathematics :-
Section 1: Engineering Mathematics :
Discrete Mathematics: Propositional and first order logic. Sets, relations, functions, partial orders and lattices. Monoids, Groups. Graphs: connectivity, matching, coloring. Combinatorics: counting, recurrence relations, generating functions.
Discrete Mathematics: Propositional and first order logic. Sets, relations, functions, partial orders and lattices. Monoids, Groups. Graphs: connectivity, matching, coloring. 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 Bayestheorem.
Computer Science and Information Technology :-
Section 2: Digital Logic :
Boolean algebra and minimization – algebraic technique, Karnaugh map, tabular method. Design of combinational and sequential circuits. Number representation and arithmetic (fixed and floating point).
Boolean algebra and minimization – algebraic technique, Karnaugh map, tabular method. Design of combinational and sequential circuits. Number representation and arithmetic (fixed and floating point).
Section 3: Computer Organization and Architecture :
Instruction set and addressing modes. Design of arithmetic and logic unit (ALU). Design of control unit – hardwired and microprogrammed. Memory interfacing and hierarchy: performance, cache memory mapping. I/O interface (interrupt and DMA). Instruction pipelining, pipeline hazards.
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 contex-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 :
Principles of Layering; Basics of switching (circuit, packet and virtual circuit) and performance metrics;
Data link layer: error detection, Medium Access Control, Ethernet; Distance vector and link state routing; IPv4 - Fragmentation, CIDR Notation, Network Address Translation; TCP- flow control and congestion control, socket API; DNS and HTTP.
GATE Computer Science Exam Pattern 2027
GATE Exam Pattern 2027 : Highlights
| GATE Examination Mode | Computer-Based Test (CBT) |
| GATE Exam Language | English |
| GATE Duration | 3 Hours (180 Minutes) |
| GATE Sectional Time Limit | None |
| GATE Total Marks | 100 |
| GATE Total Number of questions | 65 |
| GATE Type of Questions | Multiple Choice Questions (MCQ)
Multiple Select Questions (MSQ);
Numerical Answer Type (NAT) Questions
|
| GATE Number of Sections | Two/ Three (depending on the paper) |
| GATE Section-wise Number of Questions |
General Aptitude- 10 questions,
Core Discipline- 55 questions
|
| GATE Section-wise Weightage |
General Aptitude- 15 marks,
Core Discipline- 85 marks
|
| GATE Marking Scheme | 1 or 2 marks for each correct answer |
| GATE Negative Marking |
For 1 mark MCQ, 1/3 mark will be deducted for a wrong answer;
For 2-mark MCQ, 2/3 mark will be deducted for a wrong answer;
No negative marking for MSQs and NATs
|
Duration : 180 Minutes
Negative Mark :
For 1 mark MCQ, 1/3 mark will be deducted for a wrong answer;
For 2-mark MCQ, 2/3 mark will be deducted for a wrong answer;
No negative marking for MSQs and NATs
| S.No | Subject | No.of Question | Marks |
| 1 | General Aptitude | 10 | 15 |
| 2 | Engineering Mathematics | 55 | 13 |
| Computer Science & Information Technology | 72 | ||
| Total | 65 | 100 |
| Subject | No.of Question | Marks per Question | Marks |
Engineering Mathematics & Computer Science & Information Technology |
25 | 1 | 25 |
| 30 | 2 | 60 | |
| Total | 55 | 85 |
GATE Exam Date 2026 : 06th, 7th, 13th, 14th, 20th, 21st February 2027
Starting Date of Application Form : 27th August 2026
Last Date of Application Form : 27th September 2026
GATE Computer Science & Information Technology Engineering Free Mock Test
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GATE Computer Science and Information Technology Exam - English65 questions • 180 mins • 65 marks
Free Test →GATE Computer Science Exam Free Online Question Bank
GATE Computer Science question answer with solutions are available in Hindi & English. Join MCQ, Important Questions, Question Bank, questions and answers for Free GATE Computer Science exam preparation.
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GATE Computer Science and Information Technology Exam - English65 questions • 180 mins • 65 marks
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FAQs
GATE Computer Science 2027 Free Mock Test Frequently Asked Questions (FAQ's)
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