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Most Scoring Chapters in GATE 2027 DA- The GATE DA most scoring chapters 2027 are those which have always been scoring higher marks in past years and provide good scoring opportunities with proper preparation. All the topics covered in the syllabus are important but candidates can improve their scores and use their preparation time more effectively by concentrating on the high weightage chapters of GATE DA. The GATE syllabus for 2027 is revised by IIT Madras but DA syllabus is almost same. The subjects which have consistently contributed a large number of questions in the exam are Engineering Mathematics, Probability and Statistics, Programming, Data Structures and Algorithms, Machine Learning, Database Management and General Aptitude.
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A smart preparation strategy should be a mix of GATE DA chapter wise weightage 2027, previous year trends and conceptual understanding instead of selective study. Analysing GATE DA previous year weightage helps to know about the recurring topics and get an idea about the overall difficulty level of the examination. But aspirants should remember that the last year's question paper can be different each year, so it’s equally important to cover the complete syllabus. The below-mentioned sections talk about the most scoring chapters in GATE DA, important topics, previous year analysis, and preparation tips that help the candidates to prepare for GATE 2027 strategically.
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Knowing the most scoring chapters of GATE DA 2027 helps candidates to decide which subjects should be given priority while preparing. While the actual paper pattern may vary every year, some chapters have consistently contributed a higher number of questions in previous exams. If the students have a clear understanding of the concepts, they can increase their chances of scoring well by focusing on these high-weightage GATE DA chapters. GATE DA important subjects and their weightage are given in the table below.
|
Chapter Name |
Number of Questions |
Weightage |
|
Probability and Statistics |
13 |
20% |
|
Database Management and Warehousing |
11 |
16.92% |
|
General Aptitude |
10 |
15.38% |
|
Machine Learning |
9 |
13.85% |
|
Programming, Data Structures and Algorithms |
9 |
13.85% |
|
AI |
6 |
9.23% |
|
Linear Algebra |
5 |
7.69% |
|
Calculus and Optimization |
2 |
3.08% |
Studying the right chapters is only part of the preparation. Candidates must also know the GATE DA important topics 2027 of each subject as these topics are asked in the examination. Thorough coverage of these topics will lead to better conceptual understanding and better performance in both numerical and theoretical questions. The table below has the GATE Data Science and AI important chapters and topics that candidates should prioritise while preparing for GATE DA 2027.
|
Chapter |
Topic |
Question Count |
|
Programming, Data Structures and Algorithms |
Programming in Python |
4 |
|
AI |
Logic, Propositional and Predicate Logic |
4 |
|
Probability and Statistics |
Counting (Permutation and Combinations) |
2 |
|
Linear Algebra |
Eigenvalues and Eigenvectors |
2 |
|
Database Management and Warehousing |
Indexing |
2 |
|
Database Management and Warehousing |
SQL |
2 |
|
Machine Learning |
Ridge Regression |
2 |
|
Machine Learning |
Supervised Learning: Regression and Classification Problems |
2 |
|
Machine Learning |
Clustering Algorithms |
2 |
|
AI |
Search |
2 |
A review of the GATE DA previous year weightage can give candidates an idea about the distribution of questions over the years. The weightage varies from exam to exam but the recurring trends may help the candidates to know the subjects that require more time for preparation.
| 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% |
Start your preparation with high weightage chapters for GATE DA, and then move on to low weightage chapters.
Solve past year question papers to get an idea of the questions asked.
Practice questions of each topic regularly to improve accuracy.
Take mock tests to assess your preparation level.
Key formulas, algorithms and programming concepts are updated weekly.
Make short notes for quick revision in the last few days.
Concentrate on understanding concepts other than just remembering the answers.
Review last year question papers and understand which chapters were repeated in previous years.
GATE DA subject wise weightage 2027 vs Previous Exam Trends.
Consult the official syllabus and tick off core subjects.
Find the chapters that have numerical questions and conceptual questions.
Prioritise subjects that have been recurring over several years.
Mock test analysis to find the recurring topics.
High weightage chapters can increase your score but they should not be the only thing you focus on.
Questions are set from any part of the syllabus.
You could be missing out on easy marks by ignoring low-weightage chapters.
Cover the complete syllabus with extra time to scoring chapters.
Revise the complete syllabus before the exam.
Make a balanced GATE DA preparation method rather than doing selective study
Leaving aside Engineering Mathematics and General Aptitude.
Not reviewing a topic after learning it.
Relying just on theory without practicing questions.
Not solving previous year question papers.
Waiting for mock tests until the last weeks.
Spending too much time on one subject at the cost of others.
Study without any proper revision timetable or plan.
Frequently Asked Questions (FAQs)
Probability and Statistics, Machine Learning, Programming, Data Structures and Algorithms, Database Management, General Aptitude, and Artificial Intelligence are among the highest-scoring chapters based on previous year trends.
No. High-weightage chapters can improve your score, but covering the complete syllabus is important because questions can be asked from any topic.
Based on previous years' analysis, Probability and Statistics has consistently carried one of the highest weightages in the GATE DA paper.
No, the weightage varies every year, but certain subjects have consistently contributed more questions over multiple GATE exams
Start with high-weightage chapters, strengthen your fundamentals, solve previous year questions, and gradually cover the remaining syllabus.
The GATE DA paper consists of 65 questions carrying a total of 100 marks.
Yes, General Aptitude carries 15 marks and can significantly improve your overall GATE score with regular practice.
Previous year papers are essential for understanding the exam pattern and important topics, but they should be complemented with syllabus coverage and mock tests.
No, the GATE DA syllabus has not changed by IIT Madras; the syllabus is the same. For more details, you can check the PDF provided on this page and on the official GATE Website.
On Question asked by student community
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Dear Student,
Careers360 has GATE Electrical Engineering (EE) preparation resources that can be useful for GATE 2027. While a dedicated GATE EE 2027 notes PDF may not be available, you can refer to the latest GATE EE preparation material, syllabus, important topics, books, and previous-year questions.
Hello, for GATE preparation, the best paper for a Robotics and Automation student depends on your academic background and the area you want to specialise in. Common choices include Mechanical Engineering (ME), Electronics and Communication Engineering (EC), and Electrical Engineering (EE).
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For GATE preparation, you should first follow the official GATE syllabus and then choose textbooks according to your engineering branch.
For each subject, a good preparation strategy is:
Study the basic concepts from a standard textbook.
Make short notes and formula sheets.
Solve topic-wise GATE previous-year questions.
Practise numerical-answer-type questions
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