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GATE DA Subject Wise Weightage 2027: Students who are preparing for the GATE 2027 exam, it is very important for them to know about the weightage. IIT Madras has released the GATE 2027 DA syllabus. Knowing the GATE DA weightage helps students identify the topics that are asked more frequently in the exam. The GATE DA paper includes topics from Probability and Statistics, Programming, Data Structures and Algorithms, Linear Algebra, Calculus and Optimization, Machine Learning, Artificial Intelligence, and Database Management and Warehousing, along with General Aptitude. In this article, students can check the GATE DA subject wise weightage 2027, previous years’ weightage trend, and important topics for GATE exam preparation.
The syllabus of GATE DA is given below. IIT Madras has updated the syllabus for GATE 2027 DA. GATE 2027 DA Paper consists of 7 sections
| Section | Subject |
| Section 1 | Probability and Statistics |
| Section 2 | Linear Algebra |
| Section 3 | Calculus and Optimization |
| Section 4 | Programming, Data Structures and Algorithms |
| Section 5 | Database Management and Warehousing |
| Section 6 | Machine Learning |
| Section 7 | AI |
For details refer to the GATE 2027 Syllabus for Data Science & Artificial Intelligence (DA)
Before starting preparation, students should know how the GATE DA paper is spread across different subjects. The GATE DA subject wise weightage 2027 gives a basic idea of which sections may carry more questions and which ones may need more time during preparation. It can be read together with the syllabus and exam pattern for better planning.
| Chapter Name | Weightage | Number of Questions |
| General Aptitude | 15.38% | 10 |
| AI | 9.23% | 6 |
| Calculus and Optimization | 3.08% | 2 |
| Database Management and Warehousing | 16.92% | 11 |
| Linear Algebra | 7.69% | 5 |
| Machine Learning | 13.85% | 9 |
| Probability and Statistics | 20.00% | 13 |
| Programming, Data Structures and Algorithms | 13.85% | 9 |
A comprehensive view of the weightage is given in the chart below to help you visualize the weightage better:
Looking at the previous years' trend of GATE DA subject wise weightage helps students understand how the focus of the paper has changed over time.
| Chapter Name | 2026 | 2025 | 2024 | Total |
Percentage Distribution |
| Aptitude | 10 | 10 | 10 | 30 | 15.38% |
| Artificial Intelligence (AI) | 6 | 4 | 7 | 17 | 8.72% |
| Calculus and Optimization | 2 | 6 | 5 | 13 | 6.67% |
| Database Management and Warehousing | 11 | 7 | 4 | 22 | 11.28% |
| Linear Algebra | 5 | 8 | 6 | 19 | 9.74% |
| Machine Learning | 9 | 9 | 10 | 28 | 14.36% |
| Probability and Statistics | 13 | 12 | 10 | 35 | 17.95% |
| Programming, Data Structures, and Algorithms | 9 | 9 | 13 | 31 | 15.90% |
| Total | 65 | 65 | 65 | 195 | 100.00% |
Knowing the most weightage chapters for GATE 2027 DA Exam helps students prepare for the exam in a better way. Refer to the points given below on why you should know about high-weightage chapters for GATE Exam 2027 for DA:
1. Instead of studying any topic randomly, students can prepare the most important topics in a better way.
2. GATE 2027 DA important topics help in scoring higher marks in less time.
3. Helps students focus more on chapters that are being asked every year.
Below are some of the important topics for GATE DA 2027 based on recent paper trends.
| Topic | Question Count |
| Programming in Python | 4 |
| Logic, Propositional and Predicate Logic | 4 |
| Counting (Permutation and Combinations) | 2 |
| Eigenvalues and Eigenvectors | 2 |
| Indexing | 2 |
| SQL | 2 |
| Ridge Regression | 2 |
| Supervised Learning: Regression and Classification Problems | 2 |
| Clustering Algorithms | 2 |
| Search | 2 |
The GATE DA weightage provides a rough idea about the subjects that have been asked more frequently in the exam. It helps the candidate to decide where to start, which sections require more focus and which topics can be delayed to the later stages of preparation. Best used in conjunction with the syllabus and previous years' question papers.
Frequently Asked Questions (FAQs)
The GATE DA subject-wise weightage 2027 shows the approximate number of questions asked from each subject in the Data Science and Artificial Intelligence paper. It helps students understand which sections have higher weightage and need more focus during preparation.
The type of questions asked in GATE DA are
(a) Multiple Choice Questions (MCQ)
(b) Multiple Select Questions (MSQ) and/or
(c) Numerical Answer Type (NAT) Questions
Based on recent paper trends, Probability and Statistics, Programming, Data Structures and Algorithms, Machine Learning, and General Aptitude are among the important sections in the GATE DA paper. However, candidates should prepare according to the complete syllabus and not rely only on weightage.
Candidates can use the GATE DA weightage to identify important subjects, plan study time, and decide which topics should be covered first. It should be used along with the official syllabus, exam pattern, and previous year question papers.
Some of the important topics for GATE DA 2027 include Programming in Python, Logic, Permutation and Combination, Eigenvalues and Eigenvectors, SQL, Indexing, Ridge Regression, Clustering Algorithms, and Search. Candidates should also check previous year papers to understand topic-wise trends.
Yes, previous years’ GATE DA question papers are useful for understanding subject-wise weightage, important topics, and the type of questions asked in the exam. They also help candidates identify repeated concepts from the syllabus.
On Question asked by student community
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