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GATE Exam Date:07 Feb' 26 - 08 Feb' 26
GATE Data Science and AI Syllabus 2026 - IIT Guwahati has released the GATE 2026 Data Science and Artificial Intelligence syllabus pdf on the official website, gate2026.iitg.ac.in. Candidates can download the GATE Data Science and AI syllabus 2026 using the direct link given below. The Data Science and AI syllabus comprises all the topics that will be tested in the GATE exam. The syllabus comprises topics such as Probability, Statistics, Linear Algebra, Algorithms, Programming, Data Structures, Database Management Systems, Data Warehousing, Machine Learning, and Artificial Intelligence. The authority has provided the GATE 2026 exam pattern online. The authority will conduct the GATE 2026 exam on February 7, 8, 14 and 15, 2026.
Direct link to download the GATE 2026 Data Science and AI Syllabus
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The GATE 2026 question paper will be prepared based on the syllabus. Candidates must refer to the GATE syllabus to ensure that they study all the relevant topics. Understanding the syllabus of DA for GATE 2026 is the first and foremost step while preparing for the GATE exam. The previous year GATE DA syllabus is mentioned in this article. Candidates can also check the GATE Data Science and AI question paper for more understanding of the exam pattern and frequently asked topics in the exam.
IIT Guwahati has released the GATE 2026 Data Science and AI Syllabus on its official website, gate2026.iitg.ac.in. Candidates can check the updated GATE General Aptitude syllabus 2026 from the table below.
Chapters | Topics |
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GATE GA syllabus for Verbal Aptitude |
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GATE GA syllabus for Quantitative Aptitude |
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GATE GA syllabus for Analytical Aptitude |
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GATE GA syllabus for Spatial Aptitude |
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IIT Guwahati has uploaded the GATE Syllabus for Artificial Intelligence and Data Science online as a pdf. The syllabus topics such as Probability, Statistics, Linear Algebra, Algorithms, Programming, Data Structures, Database Management Systems, Data Warehousing, Machine Learning, and Artificial Intelligence. For detailed information, refer to the GATE syllabus for Data Science and AI below.
Subject | Topics |
---|---|
GATE DA syllabus for Probability and Statistics | Counting (permutation and combinations), probability axioms, Sample space, Events, independent events, mutually exclusive events, marginal, conditional and joint probability, Bayes Theorem, conditional expectation and variance, mean, median, mode and standard deviation, correlation, and covariance, random variables, discrete random variables and probability mass functions, uniform, Bernoulli, binomial distribution, Continuous random variables and probability distribution function, uniform, exponential, Poisson, normal, standard normal, t-distribution, chi-squared distributions, cumulative distribution function, Conditional PDF, Central limit theorem, confidence interval, z-test, t-test, chi-squared test. |
GATE DA syllabus for Linear Algebra | Vector space, subspaces, linear dependence and independence of vectors, matrices, projection matrix, orthogonal matrix, idempotent matrix, partition matrix and their properties, quadratic forms, systems of linear equations and solutions Gaussian elimination, eigenvalues and eigenvectors, determinant, rank, nullity, projections, LU decomposition, singular value decomposition |
GATE DA syllabus for Calculus and optimization | Functions of a single variable, limit, continuity and differentiability, Taylor series, maxima and minima, optimization involving a single variable |
GATE DA syllabus for Database Management and Warehousing |
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GATE DA syllabus for Programming, Data Structures and Algorithms |
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GATE DA syllabus for Machine Learning | (i) Supervised Learning: regression and classification problems, simple linear regression, multiple linear regression, ridge regression, logistic regression, k-nearest neighbour, naive Bayes classifier, linear discriminant analysis, support vector machine, decision trees, bias-variance trade-off, cross-validation methods such as leave-one-out (LOO) cross-validation, k-folds cross-validation, mulo-layer perceptron, feed-forward neural network; (ii) Unsupervised Learning: clustering algorithms, k-means/k-medoid, hierarchical clustering, top-down, bottom-up: single-linkage, multiple linkages, dimensionality reduction, principal component analysis. |
GATE DA syllabus for AI | Search: informed, uninformed, adversarial; logic, propositional, predicate; reasoning under uncertainty topics - conditional independence representation, exact inference through variable elimination, and approximate inference through sampling. |
Related links:
Topic Name | Number of Questions | Total Marks |
---|---|---|
General Aptitude | 10 | 15 |
Probability and Statistics | 10 | 16 |
Linear Algebra | 6 | 10 |
Calculus and Optimization | 5 | 8 |
Programming, Data Structures, and Algorithms | 13 | 21 |
Database Management and Warehousing | 6 | 8 |
Machine Learning | 8 | 11 |
Artificial Intelligence (AI) | 7 | 11 |
Total | 65 | 100 |
The GATE exam consists of two sections, General Aptitude and subject-oriented. Check the marking scheme of the GATE 2026 DA exam here. Candidates must note that the For a wrong answer chosen in a MCQ, there will be a negative marking. For a 1-mark question, 1/3 mark will be deducted and for the 2-mark question, 2/3 mark will be deducted.
Subject | Marks Allotted |
---|---|
General Aptitude (GA) | 15 |
Subject marks | 85 |
Total | 100 |
Related links:
Students can refer to the following table for the list of books for GATE preparation. A useful tip to aspirants is to make GATE Data Science and AI notes in a short and precise manner for better revision. Moreover, aspirants must check their level of preparation regularly with GATE Data Science and AI sample papers and mock tests.
Book | Author |
Artificial Intelligence: A Modern Approach | Textbook by Peter Norvig and Stuart J. Russell |
‘Deep Learning’ | by Ian Goodfellow, Yoshua Benjio, Aaron Courville |
Introduction to Data Science: Practical Approach with R and Python | B. Uma Maheswari (Author), R. Sujatha (Author) |
Data Science for Dummies | Lillian Pierson (Author), Jake Porway (Foreword) |
Data Science from Scratch: First Principles with Python | Joel Grus |
Frequently Asked Questions (FAQs)
As per the exam pattern for GATE Data Science and Artificial Intelligence, the exam will have 15 marks worth GA section and the remaining 85 for the core subject. The question paper will comprise a mix of MCQs, MSQs and NATs.
A score of 90+ is considered the best for GATE 2026, since it increases the chances of admission drastically.
GATE DA 2026 will have three types of questions, multiple-choice (MCQ) type, multiple-select (MSQ) type, and numerical answer type (NAT).
Yes, there is a negative marking in the GATE Data Science and AI 2026.
It depends on the individual calibre of the aspirant. But yes, with proper planning, and good study material, 6 months is enough for GATE 2026 preparation. Provided that the students must have previous knowledge of the basics.
The GATE Data Science and AI syllabus 2026 includes such as Probability, statistics, linear algebra, algorithms, Programming, Data Structures, database management systems, warehousing, machine learning, and Artificial intelligence.
On Question asked by student community
Hello,
Yes, you as a Bachelor of Science graduate in home science can appear for the GATE 2026 exam, as the eligibility criteria include graduates from "Science" and other fields, as well as those in the 3rd year or higher of an undergraduate program.
I hope it will clear your query!!
Hey! The GATE exam (Graduate Aptitude Test in Engineering) is very important for long-term career growth. It opens opportunities for postgraduate studies (M.Tech, MS, PhD) in top institutes like IITs and NITs and is also used by many public sector companies (PSUs) for recruitment, often with higher salary packages. In the long run, qualifying GATE can enhance your technical knowledge, career prospects, and credibility in the engineering field.
If your GATE application shows failed status even after a successful payment, don’t worry, this usually happens due to server or transaction update delays. First, wait for 24–48 hours as sometimes the status gets updated automatically. If it still shows failed, you should raise a query through the GATE application portal by providing your enrollment ID and payment receipt or transaction details. You can also contact the GATE zonal office via email or helpline with proof of payment. Keeping a screenshot of the payment success message will also help in resolving the issue quickly.
Hi dear candidate,
You can refer to the online E Books for GATE examination available on our official website that you can download anytime.
Kindly refer to the link attached below to access them for practice.
Link: GATE E-books and Sample Papers
BEST REGARDS
Hey! The qualifying cutoff for GATE CSE in 2025 was around 29.2 marks for General, 26.2 for OBC/EWS, and 19.4 for SC/ST/PwD. For GATE 2026, the official cutoff is not declared yet, but if we look at the past trends, it usually stays around 30–32 marks for General category. So, if you are preparing, it’s better to target a score well above this range to be on the safer side.
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