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GATE DA Subject-wise Weightage 2027: Candidates who are preparing for the GATE 2027 exam must be aware of the subject-wise weightage for effective preparation. The GATE DA subject-wise weightage 2027 will help students to identify important subjects, past years' question patterns, and subjects that need to be revised. Through the GATE DA question distribution of 2024, 2025, and 2026, candidates will get an idea about those subjects that have been asked more and need to be practised well. Subjects such as Probability and Statistics, Machine Learning, Artificial Intelligence, Linear Algebra, and Programming, Data Structures and Algorithms are asked in the GATE Data Science and Artificial Intelligence (DA) paper. This article contains information about the three-year subject-wise weightage, distribution of questions, important topics, and preparation tips for the GATE exam.
The GATE 2027 DA syllabus is given below. IIT Madras has updated the syllabus for GATE 2027 DA. It 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 GATE exam pattern for better planning.
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|
Subject |
2024 Questions |
2025 Questions |
2026 Questions |
Three-Year Total |
Three-Year Average |
|
General Aptitude |
10 |
10 |
10 |
30 |
10.00 |
|
Artificial Intelligence |
7 |
4 |
6 |
17 |
5.67 |
|
Calculus and Optimization |
5 |
6 |
2 |
13 |
4.33 |
|
Database Management and Warehousing |
4 |
7 |
11 |
22 |
7.33 |
|
Linear Algebra |
6 |
8 |
5 |
19 |
6.33 |
|
Machine Learning |
10 |
9 |
9 |
28 |
9.33 |
|
Probability and Statistics |
10 |
12 |
13 |
35 |
11.67 |
|
Programming, Data Structures and Algorithms |
13 |
9 |
9 |
31 |
10.33 |
|
Total |
65 |
65 |
65 |
195 |
65.00 |
The following distribution of percentages is obtained using the number of questions in the three-year period for each subject as stated in the original paper. It reflects the proportion of 165 DA subject questions for three years, minus General Aptitude.
|
Subject |
Three-Year Total |
Percentage of DA Subject Questions |
|
Artificial Intelligence |
17 |
10.30% |
|
Calculus and Optimization |
13 |
7.88% |
|
Database Management and Warehousing |
22 |
13.33% |
|
Linear Algebra |
19 |
11.52% |
|
Machine Learning |
28 |
16.97% |
|
Probability and Statistics |
35 |
21.21% |
|
Programming, Data Structures and Algorithms |
31 |
18.79% |
|
Total |
165 |
100% |
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.
It is advised to study important topics from all subjects as it is not recommended to focus on only top ten important topics. Some of the syllabus based important topics which can help the students in revision are mentioned below.
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 GATE 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
Hello Students,
Yes, subject-wise GATE mock tests are available. You can refer to the article given below to access the available mock tests and practise for GATE 2027.
https://engineering.careers360.com/articles/gate-mock-test
Hello, yes, some PSUs accept GATE CSE scores for software/IT-related roles. IHMCL is one example. In its 2026 System Engineer (ITS) recruitment, B.Tech/B.E. graduates in ECE, CSE, IT, Data Science or AI could apply using GATE CS, EC or DA scores. Other PSUs may have different eligibility rules, so the
Hello, you can use the GATE College Predictor to check colleges based on your GATE score, rank, category and preferred branch: https://engineering.careers360.com/gate-college-predictor
Hello Student,
You can check the relevant resources provided below.
https://engineering.careers360.com/articles/gate-question-papers
https://engineering.careers360.com/articles/gate-practice-paper-2027
Hope it helps!
Hello Student, your CSE background and 4 years of automotive experience can be useful for an Embedded Systems specialization. However, for an M.Tech , I would be cautious about choosing a fully online/distance programme, as recognition and mode of delivery depend on the university and applicable regulatory rules. I can
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