GATE DA Exam Pattern 2027: The Graduate Aptitude Test in Engineering (GATE) 2027 continues to offer the Data Science and Artificial Intelligence (DA) paper, catering to the growing demand for expertise in modern computational fields. Understanding the exam pattern and marking scheme is the first step for aspirants looking to master this specialized paper, which tests a blend of mathematical rigor and programming logic. Candidates should focus on high-weightage areas such as Linear Algebra, Probability, and Machine Learning to secure a competitive score. This guide provides a comprehensive breakdown of the syllabus and structure to help students streamline their preparation for the 2027 cycle.
The GATE 2027 Data Science and Artificial Intelligence (DA) paper follows a standard computer-based test (CBT) format consisting of 65 questions to be completed in 3 hours. The paper is worth a total of 100 marks, split between General Aptitude (15 marks) and the core DA technical section (85 marks). Questions are a mix of Multiple Choice Questions (MCQs), Multiple Select Questions (MSQs), and Numerical Answer Type (NAT) questions, designed to test both theoretical knowledge and practical application.
| GATE 2027 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 2027 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 2027 Highlights | |
| Particulars | Details |
| Name of the Exam | Graduate Aptitude Test in Engineering, GATE 2027 |
| Commonly Known As | GATE |
| Organizing Authority | IIT Guwahati |
| GATE 2027 Exam Date | February 2027 (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 2027 Exam Pattern for DA | Check Now |
| GATE 2027 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.
Candidates can examine the most important topics for the GATE DA Exam 2027 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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