GATE 2026 DA Syllabus – Data Science & AI PDF Download

GATE 2026 DA Syllabus – Data Science & AI PDF Download

Edited By Maniprabha Singh | Updated on Aug 08, 2025 07:05 PM IST | #GATE
Ongoing Event
GATE  Application Date : 28 Aug' 2025 - 28 Sep' 2025

GATE 2026 DA Syllabus - IIT Guwahati has shared the GATE 2026 syllabus on the official website soon, students who are preparing for GATE 2026 DA exam can check the complete syllabus here. According to the latest update GATE DA syllabus consists of topics such as Probability, Statistics, Calculus & Optimization, Linear Algebra, Programming, DSA, Database Management & Warehousing, AI/ML are included. Candidates who are preparing for GATE 2026 must download the GATE DA syllabus pdf to have the complete details.

GATE 2026 DA Syllabus – Data Science & AI PDF Download
GATE 2026 DA Syllabus
LiveGATE 2026 LIVE: Registration begins tomorrow, apply on gate2026.iitg.ac.in; application fee, syllabus updatesAug 27, 2025 | 10:32 PM IST

GATE 2026 degree-wise eligibility criteria are given in the table below.

Degree/Program

Qualifying Degree/Examination

Description of Eligible Candidates

BE/ BTech /BPharm

Bachelor’s degree in engineering, technology (4 years after 10+2 or 3 years after BSc/ Diploma in Engineering/ Technology)

Currently in the third year or higher or already completed

BArch

Bachelor’s degree of Architecture (5-year course)/ Naval Architecture (4-year course)/ Planning (4-year course)

Currently in the third year or higher or already completed

BSc (Research)/ BS

Bachelor’s degree in Science (Post-Diploma/4 years after 10+2)

Currently in the third year or higher or already completed

Pharm D (after 10+2)

A Professional Pharmacy doctoral program of 6 years duration after 10+2 which includes 1 year of internship or residency.

Currently in the 3rd/ 4th/ 5th/ 6th year or already completed

MBBS/ BDS/ BVSc

Professional Medical degree programs - MBBS/ BDS/ BVSc

5th/6th/7th or higher semester or already completed

MSc/ MA / MCA or equivalent

Master’s degree in any branch of Arts/ Science/ Mathematics/ Statistics/ Computer Applications or equivalent

Currently in the 1st year or higher or already completed

Integrated ME/ MTech (Post-BSc)

Post-B.Sc. Integrated Master’s degree programs in Engineering/Technology (4-year program)

Currently in the 1st/2nd/3rd/4th year or already completed

Int ME/ MTech / MPharm or Dual Degree (after Diploma or 10+2)

Integrated Master’s degree program or Dual Degree program in Engineering/Technology (5-year program)

Currently in the 3rd/4th/5th year or already completed

BSc /BA / BCom

Bachelor’s degree in any branch of Science/Arts/Commerce (3-year program)

Currently in the 3rd year or already completed

Integrated MSc/Int BS /MS

Integrated M.Sc. or 5-year integrated BS - MS program

Currently in the 3rd year or higher or already completed

Professional Society Examinations (equivalent to BE/ BTech/ BArch)

BE/ BTech/ BArch equivalent exams of Professional Societies, recognized by MoE/ UPSC/ AICTE (e.g. AMIE by Institution of Engineers-India, AMICE by the Institute of Civil Engineers-India and so on)

Completed Section A or equivalent of such professional courses

BSc (Agriculture, Horticulture, Forestry)

4-year program

Currently in the 3rd/4th year or already completed


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We will also provide the GATE Data Science and Artificial Intelligence syllabus pdf for download on this page. GATE 2026 Syllabus contains all important topics and chapters. Read this complete article to know about GATE 2026 DA syllabus.

Also Check :GATE 2026 Eligibility Criteria

GATE 2026 DA Syllabus : Complete syllabus

Here is the comprehensive list of all the topics coming in the GATE 2026 exam for Date Science and Artificial Intelligence. Refer to this table for GATE 2026 DA syllabus.

GATE 2026 DA Syllabus

Topic

Sub Topic

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.

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.

Calculus and Optimization

Functions of a single variable, limit, continuity and differentiability, Taylor series, maxima and minima, optimization involving a single variable

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.

Database Management and Warehousing

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

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, biasvariance trade-off, cross-validation methodssuch asleave-one-out (LOO) cross-validation, k-folds cross-validation, multi-layer perceptron, feed-forward neural network; (ii) Unsupervised Learning: clustering algorithms, k-means/k-medoid, hierarchical clustering, top-down, bottom-up: singlelinkage, multiple-linkage, dimensionality reduction, principal component analysis.

Artificial Intelligence(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.

GATE 2026 DA Topic wise weightage

GATE 2026 Data science and Artificial intelligence exam weightage is divided into two parts; first one is General Aptitude(15%) common for all other GATE exams, second is Core subjects( 85%). Here you can find the topic wise weightage distribution of GATE 2026 DA syllabus.

GATE 2026 DA Syllabus - Topic wise weightage

Topic

Weightage

Core Subjects

Probability and Statistics

14%

Linear Algebra

8%

Calculus and Optimization

12%

Programming, Data Structures and Algorithms

12%

Database Management and Warehousing

10%

Machine Learning

11%

Artificial Intelligence(AI)

6%

General Aptitude(Common)

General Aptitude

15%

Along with the GATE DA syllabus, it is necessary to have the details on GATE exam pattern 2026 for better preparation. Refer the exam pattern for marking scheme, total marks and mode of examination.

Frequently Asked Questions (FAQs)

1. Where can I find the GATE 2026 DA Syllabus?

Complete GATE 2026 DA Syllabus is shared on this page, however candidates can also refer to the official website for the same.

2. What are the important topics for GATE 2026 DA?

Candidates can prepare these high weightage topics; Probability and Statistics, Machine Learning,Calculus and Optimization and Programming, Data Structures and Algorithms.

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Questions related to GATE

Have a question related to GATE ?

For GATE Life Sciences question banks, you can go for GATE past year's papers to understand the exam style, and you can buy online test series from a coaching site for lots of new practice questions.

you can get question book one from publishers like IFAS or GKP. Also use free online resources like NPTEL and EasyBiologyClass for extra practice and study materials. Good luck!

Here are GATE exam aptitude topics from high to low weightage:

1. English Comprehension & Vocabulary

2.Numerical Ability and Arithmetic

3.Logical Reasoning & Analytical Ability

4.Data Interpretation

5.Geometry & Mensuration basic

6.Algebra basic

7.Probability and Statistics

8.General Knowledge and Miscellaneous Verbal like  odd one out, analogy, word usage.


Hello,

Here is the link where you can get required question paper : GATE 2024 EE Question Paper

Hope it helps !

If you are needed to prepare for gate exam from ece batch there 65 questions in exam pattern total marks is 100 here 15% is aptitude general questions then 15% mathematics engineering questions , 70% core subjects you need to concentrate on more core related subject like controls system , signals and system , digital circut these topics covers most of the basics but you need to prepare more topics in core subjects and create a structure plan for yourself dialy attend mock test with time duration these steps will help to prepare very easily.

Hello,

So, according to your first question, you want to  know specialization in chemical engineering for M.Tech after completing the B.Tech program. Here are some good specializations for the M.Tech program

  • Process Engineering
  • Petroleum Engineering
  • Biochemical Engineering
  • Pharmaceutical Engineering
  • Process Control and Instrumentation Engineering

Also, for the second one, you want to know some good colleges that allow management quota for admission in private options. Here are some

  • VIT (Vellore Institute of Technology)
  • SRM Institute of Science and Technology
  • Lovely Professional University

I hope it will clear your query!!

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