GATE DA Exam Pattern 2026: The Graduate Aptitude Test In Engineering scheduled in February, 2026 (tentative) via computer-based mode. The GATE 2026 Exam will be organized by the IIT Guwahati for 30 different subjects. The GATE Data Science and Artificial Intelligence (DA) Paper has been included in the GATE 2024 Examination. The GATE Data Science and Artificial Intelligence Syllabus is now available on this webpage consisting of all the subjects and sub-topics.
Aspirants who are planning to take GATE DA Paper 2026 must be well familiar with GATE DA Exam Pattern 2026. We have mentioned a detailed GATE DA Paper Pattern including the number of questions, exam duration, and marking scheme in this article for a better understanding of applicants.
The GATE 2026 exam pattern and subject-wise syllabus for AI & DS Engineering has been announced by the IIT Guwahati. There are three types of questions asked in the GATE DA Paper: multiple choice questions (MCQs), multiple select questions (MSQs), and numerical answer type (NAT) questions. The GATE DS & AI exam 2026 is worth 100 marks, with each question worth one or two marks.
The GATE exam pattern 2026 has been unveiled to assist applicants in understanding the format of the GATE Question Papers. Students should review the GATE DA Syllabus 2026 in addition to the GATE DA exam pattern. To learn more about the GATE 2026 DA exam pattern, candidates can read the entire article.
GATE 2026 Branch Wise Exam Pattern | |
GATE ME Exam Pattern | GATE CSE Exam Pattern |
GATE Electrical Engg Exam Pattern | GATE ECE Exam Pattern |
GATE Civil Engg Exam Pattern | GATE Chemical Engg Exam Pattern |
According to the GATE 2026 Data Science and Artificial Intelligence Exam Pattern, the DA question paper would consist of 65 questions worth 100 marks. Aspirants will be given three hours to complete the exam.
Furthermore, in the GATE Data Science and Artificial Intelligence paper, negative marking is only applicable to multiple-choice questions (MCQs). The portion of the paper on engineering mathematics is not included in the GATE DA Paper.
GATE DS & AI Exam Pattern 2026 Highlights | |
Particulars | Details |
Name of the Exam | Graduate Aptitude Test in Engineering, GATE 2026 |
Commonly Known As | GATE |
Organizing Authority | IIT Guwahati |
GATE 2026 Exam Date | February 2026 (tentative) |
Examination Mode | Computer-based Test |
Exam Duration | 3 Hours |
Sections in GATE DA Paper |
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Distribution of Marks in GATE DA Paper |
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Marking Scheme | Questions worth 1 mark or 2 marks |
Design of Questions |
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Negative Marking | Only applicable to the incorrect answer chosen in MCQ. Deduction of 1/3 mark for each incorrect answer worth one mark. Deduction of 2/3 mark for each incorrect answer worth two marks. |
Sectional Time-Limit | None |
GATE Scorecard Validity | 3 Years |
GATE 2026 Exam Pattern for DA | Check Now |
GATE 2026 Official Website | gate.iitg.ac.in |
The GATE Data Science and Artificial Intelligence paper will be awarded 100 marks. Each question will be worth one or two marks. Furthermore, negative grading is only available for multiple-choice questions.
The GATE Data Science and Artificial Intelligence marking scheme is explained below:
Data Science and Artificial Intelligence Marking Scheme | ||
Sections | Total Questions | Total Marks |
General Aptitude | 5 | 5 Questions carry 1 Marks (5 x 1) = 5 5 Questions carry 2 Marks (5 x 2) = 10 |
Core Discipline | 25 | 25 Questions carry 1 Marks (25 x 1) =25 30 Questions carry 1 Marks (30 x 2) = 60 |
Total | 30 | 100 |
Because Data Science and Artificial Intelligence are new subjects, there are few resources available. As a result, students are suggested to examine online GATE Data Science and Artificial Intelligence courses to help them prepare for the exam.
Data Science Courses Important Links |
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Master in Data Science | Data Science Internship Programs |
IIT Madras Data Science Course | BSC Data Science Syllabus |
Data Science Interview Questions and Answers |
Candidates can examine the most important topics for the GATE DA Exam 2026 in the table below-
GATE Data Science and AI Important Topics | |
Topics | Sub Topics |
Probability and Statistics |
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Linear Algebra |
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Calculus and Optimization |
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Programming, Data Structures and Algorithms |
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Database Management and Warehousing |
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Machine Learning |
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Artificial Intelligence |
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