GATE DA Syllabus 2026 PDF - Check Data Science and AI Important Topics

GATE DA Syllabus 2026 PDF - Check Data Science and AI Important Topics

Edited By Samridhi Mishra | Updated on Mar 24, 2025 12:45 PM IST | #GATE

GATE Data Science and AI Syllabus 2026 - IIT Guwahati will release the GATE 2026 Data Science and Artificial Intelligence syllabus pdf on its official website. GATE exam aspirants can check the GATE DA syllabus on this page based on the previous year's notification. The GATE 2026 DA 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 will also provide the GATE 2026 exam pattern online. Candidates must refer to the GATE syllabus to ensure that they study all the relevant topics. IIT Guwahati will conduct the GATE 2026 exam in online mode in the month of February 2026.

This Story also Contains
  1. GATE DA Syllabus 2026 for General Aptitude
  2. GATE DS and AI Syllabus 2026
  3. GATE Data Science and AI Books 2026
GATE DA Syllabus 2026 PDF - Check Data Science and AI Important Topics
GATE DA Syllabus 2026 PDF - Check Data Science and AI Important 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.
Download the previous year's GATE Data Science and AI Syllabus

GATE DA Syllabus 2026 for General Aptitude

IIT Guwahati will release the GATE 2026 Data Science and AI Syllabus on its official website. Candidates will be able to check the updated GATE General Aptitude syllabus 2026 from the table below. However, until the GATE 2026 DA & AI syllabus pdf is released candidates can check the previous year's syllabus below.

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GATE 2026 syllabus for General Aptitude

ChaptersTopics
GATE GA syllabus for Verbal Aptitude
  • Basic English grammar: tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech
  • Basic vocabulary: words, idioms, and phrases in context, reading and comprehension, Narrative sequencing.
GATE GA syllabus for Quantitative Aptitude
  • Data interpretation: data graphs (bar graphs, pie charts, and other graphs representing data), 2- and 3-dimensional plots, maps, and tables
  • Numerical computation and estimation: ratios, percentages, powers, exponents and logarithms, permutations and combinations, and series Mensuration and geometry Elementary statistics and probability
GATE GA syllabus for Analytical Aptitude
  • Logic: deduction and induction, Analogy, Numerical relations and reasoning
GATE GA syllabus for Spatial Aptitude
  • Transformation of shapes: translation, rotation, scaling, mirroring, assembling, and grouping paper folding, cutting, and patterns in 2 and 3 dimensions.
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GATE DS and AI Syllabus 2026

IIT Guwahati will upload 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.

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GATE 2026 DA Syllabus

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

  • ER-model, relational model: relational algebra, tuple calculus, SQL, integrity constraints, normal form, file organisation, indexing, data types, data transformation such as normalisation, discretization, sampling, compression
  • Data warehouse modelling: schema for multidimensional data models, concept hierarchies, measures: categorization and computations.

GATE DA syllabus for Programming, Data Structures and Algorithms

  • Programming in Python
  • Basic data structures: stacks, queues, linked lists, trees, hash tables
  • Search algorithms: linear search and binary search
  • Basic sorting algorithms: selection sort, bubble sort and insertion sort
  • Divide and conquer: mergesort, quicksort; introduction to graph theory
  • Basic graph algorithms: traversals and shortest path

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:

GATE DA and AI Topic Wise Weightage

Topic NameNumber of Questions
Total Marks
General Aptitude1015
Probability and Statistics1016
Linear Algebra610
Calculus and Optimization58
Programming, Data Structures, and Algorithms1321
Database Management and Warehousing68
Machine Learning811
Artificial Intelligence (AI)711
Total65100

GATE Data Science and AI Marking Scheme 2026

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.

GATE 2026 Data Science and AI Marking Scheme

Subject

Marks Allotted

General Aptitude (GA)

15

Subject marks

85

Total

100

Related links:

GATE Data Science and AI Books 2026

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.

GATE 2026 Data Science and Artificial Intelligence Books

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)

1. What is the exam pattern for GATE Data Science and Artificial Intelligence 2026?

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.

2. What is a good score in GATE 2026?

A score of 90+ is considered the best for GATE 2026, since it increases the chances of admission drastically.

3. What type of questions are asked in GATE 2026 DA?

GATE DA 2026 will have three types of questions, multiple-choice (MCQ) type, multiple-select (MSQ) type, and numerical answer type (NAT).

4. Is there negative marking in GATE 2026 Data Science and AI paper?

Yes, there is a negative marking in the GATE Data Science and AI 2026.

5. Is 6 months enough for GATE 2026 preparation?

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.

6. What is the syllabus for GATE data science 2026?

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.

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Questions related to GATE

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Maharaja Sayajirao University (MSU) Baroda offers 18 seats for the M.E. in Structural Engineering. The exact number of seats filled via GATE admissions can vary yearly. For accurate data, contact the university or check their official website.

  • Since you've been allocated to your first-choice program and completed the fee payment, admission is confirmed .

  • No need to appear for further exams if the admission is already finalized.

  • Double-check official BITS communication or contact the admissions office for any additional requirements.

For more Accurate Info, You can Contact them Directly.

  1. Visit gate.iitk.ac.in (https://gate.iitk.ac.in/) .

  2. Log in with your GATE 2024 credentials .

  3. Check if the scorecard download option is available.

  4. If not, contact the GATE helpdesk for recovery options.

  5. Check your email for any official communications from GATE.

Students with a 3-year B.Sc. degree can apply for the GATE exam. However, the eligibility for admission through GATE scores depends on the program and institution. B.Sc. graduates can apply for Master's programs like M.Tech at institutions such as IITs, IISc, and some NITs, but most IITs require a B.Tech for direct M.Tech admissions. IISc offers Integrated Ph.D. programs, and some NITs may accept B.Sc. graduates for specific programs. Ensure you check the specific eligibility criteria for each institute and program.



Hello,

Yes, as per the latest GATE eligibility criteria , students who have completed a 3-year BSc (Bachelor of Science) degree can now apply for the GATE exam. But admission options through GATE score for such students are limited.

  • IITs: Generally do not allow admission to MTech, but some may offer MSc-PhD or research programmes.

  • IISc: Allows BSc students for Integrated PhD in science subjects.

  • NITs/IIITs: Mostly need BE/BTech, so limited chances for BSc students.

  • Best options: Integrated PhD, MS by Research, or research roles.

Hope it helps !

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