The GATE Data Science and Artificial Intelligence Syllabus 2026 outlines what candidates need to study to succeed in this emerging and competitive paper. It is divided into two main parts: General Aptitude (15% weightage) and Core Subjects (85% weightage) covering topics such as Probability, Statistics, Linear Algebra, Machine Learning, and Artificial Intelligence.
The exam is conducted as a 3-hour Computer-Based Test (CBT) with 65 questions totaling 100 marks. Negative marking applies only to Multiple-Choice Questions (MCQs).
Why Understanding the GATE DS & AI Syllabus Matters
Introduced in 2024, the GATE Data Science and Artificial Intelligence paper caters to the growing demand for skilled data professionals. Since it’s a relatively new specialization, there are limited past papers to rely on — making the official syllabus your primary guide.
Understanding the GATE DS & AI Core Subjects helps aspirants:
Focus on the right mathematical and computational foundations.
Prioritize high-weightage topics like Machine Learning and AI.
Develop a structured study plan to achieve a top rank.
Overview of the GATE DS & AI Core Subjects
Below is a list of key subjects covered in the GATE Data Science and Artificial Intelligence Syllabus 2026:
General Aptitude (GA)
Probability and Statistics
Linear Algebra
Calculus and Optimization
Programming, Data Structures, and Algorithms
Database Management and Warehousing
Machine Learning
Artificial Intelligence (AI)
GATE Data Science and Artificial Intelligence: General Aptitude (15 Marks)
This section is common across all GATE papers. It evaluates logical reasoning, quantitative skills, and English comprehension.
| Topics | Subtopics |
|---|---|
| Verbal Aptitude | Grammar, vocabulary, idioms, comprehension, and sequencing. |
| Quantitative Aptitude | Data interpretation, computation, estimation, ratios, percentages, probability, and mensuration. |
| Analytical Aptitude | Logical reasoning, analogies, and numerical relationships. |
| Spatial Aptitude | Shape transformation, folding, and 2D/3D pattern recognition. |
In-depth Look at the GATE DS & AI Core Subjects 2026
The core discipline section carries 85 marks and determines the final ranking. Below is a section-wise breakdown:
| Topics | Key Concepts |
|---|---|
| Probability and Statistics | Bayes’ Theorem, Random Variables, Normal Distribution, Confidence Intervals, and Hypothesis Testing. |
| Linear Algebra | Matrices, Eigenvalues, Determinants, Vector Spaces, and Decomposition Techniques. |
| Calculus and Optimization | Limits, Continuity, Differentiability, Taylor Series, and Optimization Problems. |
| Programming & Algorithms | Python programming, Data Structures, Sorting/Searching Algorithms, and Graph Theory. |
| Database Management & Warehousing | ER Model, SQL, Normalization, Indexing, and Data Warehousing Concepts. |
| Machine Learning | Regression, Classification, SVM, Neural Networks, Clustering, and PCA. |
| Artificial Intelligence (AI) | Logic, Search Algorithms, and Reasoning under Uncertainty. |
GATE Data Science and Artificial Intelligence Exam Pattern
Knowing the exam structure is as important as knowing the syllabus.
| Particulars | Details |
|---|---|
| Exam Mode | Computer-Based Test (CBT) |
| Duration | 3 Hours |
| Total Questions | 65 |
| Total Marks | 100 |
| Mark Distribution | 15 marks for General Aptitude, 85 marks for Core Subjects |
| Negative Marking | Applicable to MCQs only (1/3 or 2/3 mark deduction) |
Marking Scheme Breakdown:
| Sections | Total Questions | Total Marks |
| General Aptitude (GA) | 10 | 15 |
| Core Discipline | 55 | 85 |
| Total | 65 | 100 |
FAQs: GATE Data Science and Artificial Intelligence Syllabus 2026
What are the main subjects in the GATE Data Science and Artificial Intelligence Syllabus 2026?
The syllabus covers mathematics (Linear Algebra, Probability, Calculus), programming, databases, and AI/ML topics that together form the GATE DS & AI Core Subjects.
Is the GATE DS & AI Syllabus 2026 officially released?
Yes. The conducting institute (IIT Guwahati for 2026) has published the syllabus on the official GATE website. It closely follows the 2025 structure.
How can candidates prepare effectively using the GATE DS & AI Core Subjects?
Start by mapping each topic to trusted resources and previous question trends. Focus on Machine Learning and AI, as they carry significant marks and practical importance.
Who can appear for this paper?
Anyone with a bachelor’s degree (or in the final year) in Engineering, Science, Technology, Commerce, or Arts can apply.
Where can I download the syllabus PDF?
The Data Science and Artificial Intelligence Syllabus 2026 PDF of GATE can be downloaded from the official IIT Guwahati GATE portal under the “Information Brochure” or “Syllabi” section. Here is direct download link and a reference to the official website GATE 2026 TEST PAPERS & SYLLABUS