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GATE Data Science and AI, Explore GATE DA Exam Details Here

GATE Data Science and AI exam details including exam pattern, syllabus, weightage of topics, eligibility, etc. are available here. Go through this article to check full information of GATE DS & AI.
authorImageSiddharth Pandey25 Jan, 2025
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GATE Data Science and AI

GATE Data Science and AI: The Data Science and Artificial Intelligence or DA is a newly introduced paper in GATE Exam which was hosted by IISc Bangalore in the academic year 2025. This stream deals with the methods and techniques to manage the digital data.

The aspirants who want to appear for the upcoming GATE Data Science and AI Exam must understand the exam pattern, syllabus, eligibility, subject-wise weightage, and more to get familiar with the test details. On this webpage, candidates can find detailed insights into GATE DA Paper which must be checked before starting preparation.

GATE DA Exam 2025

The forthcoming GATA Data Science and Artificial Intelligence Exam will be hosted by the Indian Institute of Technology Roorkee to test the core subjects knowledge and comprehensive skills of the individuals. The GATE DA Exam 2025 will present numerous opportunities to students such as admission to higher studies i.e. ME/M. Tech/Ph.D. and jobs in PSUs.

The GATE DA Exam consists of General Aptitude and Core subjects carrying in total of 100 marks. To get complete details on GATE DS & AI Paper, aspirants must continue reading this article.

GATE Data Science and AI Overview

The IIT Roorkee will conduct the GATE Data Science and AI Exam 2025 via computer based mode. The aspirants seeking to build their successful career in the most emerging field of Data Science must take the GATE DA Exam to explore highly reputed jobs or higher studies. The GATE DS & AI paper will contain the questions for 1 mark or 2 marks respectively. Candidates will get a total time duration of 3 hours to attempt the paper. The exam will also have a negative marking as per the guidelines of the conducting institution.

The online registration for GATE DA Exam 2025 will commence in August with the release of official notification @gate.iitr.ac.in. Candidates who meet the eligibility criteria will be able to register for this test to open the doors to various career opportunities. This article consolidates all the key details of GATE Data Science and AI Paper which must be reviewed by aspirants.

GATE DA Scope

The Data Science and Artificial Intelligence is a newly added branch in GATE due to its increasing demand among students. The Data Science is a highly demanding skill which offers numerous jobs to aspirants accepting GATE Score to evaluate their data handling skills on the application of artificial intelligence techniques. Aspirants must opt GATE DA Paper for a great career exposure as it has a wide scope in the public as well as private sectors.

GATE DA Eligibility Criteria

The conducting authority will announce the GATE DA Eligibility Criteria on its official website at gate2025.iitr.ac.in. Furthermore, to be eligible for the GATE 2025 Data Science and AI paper, applicants must fulfill the following requirements related to age, nationality, and educational qualifications as specified below:

GATE DA Eligibility Criteria - Nationality

For GATE DA 2025, candidates having Indian nationality as well as citizenship from the below mentioned countries can also apply.

The foreign countries eligible for the GATE 2025 DS & AI Paper include Nepal, Bangladesh, Sri Lanka, Singapore, Ethiopia, and the United Arab Emirates (UAE).

GATE DA Eligibility Criteria - Age Limit

Applicants from every age group can register for the GATE Data Science and AI paper as long as they fulfill other eligibility criteria.

GATE DA Eligibility Criteria - Educational Qualifications

Aspirants holding bachelor’s or above degree in engineering, technology, science, or the humanities are eligible to apply for the GATE DA 2025 examination.

However, for the data science and artificial intelligence paper, a degree in computer science, electronics and communication, electrical engineering, mathematics, statistics, and physics is considered to be more relevant.

Applicants who are in their 3rd year of the bachelor’s program are also eligible to apply for the GATE 2025 Data Science and AI paper.

GATE Data Science and AI Syllabus

The aspirants must be well versed in GATE Data Science and AI Syllabus to make their exam preparation accordingly. The GATE Data Science and Artificial Intelligence Paper consists of various subjects relevant to the specialization. Candidates must refer to the below table to understand the topic-wise GATE DA Syllabus in a comprehensive manner:

GATE 2025 DA Syllabus for General Aptitude
Topics Sub-topics
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
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
Analytical Aptitude Logic: deduction and induction, analogy, numerical relations and reasoning
Spatial Aptitude Transformation of shapes: translation, rotation, scaling, mirroring, assembling, and grouping, Paperfolding, cutting, and patterns in 2 and 3 dimensions
GATE Data Science and Artificial Intelligence Syllabus
Topics Sub-topics
Probability and Statistics
  • Counting (Permutations 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, and Binomial Distribution)
  • Continuous Random Variables and Probability Distribution Functions (Uniform, Exponential, Poisson, Normal, Standard Normal, t-Distribution, Chi-Squared Distributions)
  • Cumulative Distribution Function
  • Conditional Probability Density Function
  • 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, and Hash Tables
  • Search Algorithms: Linear Search and Binary Search
  • Basic Sorting Algorithms: Selection Sort, Bubble Sort, Insertion Sort
  • Divide and Conquer Techniques: Mergesort, Quicksort
  • Introduction to Graph Theory
  • Basic Graph Algorithms: Traversals and the Shortest Path
Database Management and Warehousing
  • ER-Model (Entity-Relationship Model)
  • Relational Model: Relational Algebra, Tuple Calculus
  • SQL (Structured Query Language)
  • Integrity Constraints
  • Normal Form
  • File Organization
  • Indexing
  • Data Types
  • Data Transformation: Normalization, Discretization, Sampling, and Compression
  • Data Warehouse Modeling: Schema for Multidimensional Data Models
  • Concept Hierarchies
  • Measures: Categorization and Computations
Machine Learning
  • Supervised Learning
  • Regression and Classification Problems
  • Simple Linear Regression
  • Multiple Linear Regression
  • Ridge Regression
  • Logistic Regression
  • k-Nearest Neighbors
  • Naive Bayes Classifier
  • Linear Discriminant Analysis
  • Support Vector Machine
  • Decision Trees
  • Bias-Variance Trade-off
  • Cross-validation Methods: Leave-One-Out (LOO) Cross-validation, k-Folds Cross-validation
  • Multi-layer Perceptron
  • Feed-forward Neural Network
  • Unsupervised Learning:
  • Clustering Algorithms
  • k-Means and k-Medoid Clustering
  • Hierarchical Clustering
  • Dimensionality Reduction
  • Principal Component Analysis (PCA)
Artificial Intelligence (AI)
  • Search: Informed Search, Uninformed Search, Adversarial Search
  • Logic: Propositional Logic, Predicate Logic
  • Reasoning under Uncertainty Topics
  • Conditional Independence Representation
  • Exact Inference through Variable Elimination
  • Approximate Inference through Sampling

GATE Data Science and AI Exam Pattern

Candidates who want to ace the GATE Data Science and Artificial Intelligence Exam 2025 with a top mark must review the exam pattern to understand the complete format of the question paper. For the ease of aspirants, we have mentioned the GATE DA Exam Pattern 2025 in this section:

GATE DS & AI Exam Pattern 2025
Particulars Details
Name of the Exam Graduate Aptitude Test in Engineering, GATE 2025
Commonly Known As GATE
Organizing Authority IIT Roorkee
GATE 2025 Exam Date February 2025
Examination Mode Computer-based Test
Exam Duration 3 Hours
Sections in GATE DA Paper
  • General Aptitude (GA)
  • DS & AI Subjects
Distribution of Marks in GATE DA Paper
  • General Aptitude: 15 marks
  • Subject Questions: 85 marks
  • Total Marks: 100 marks
Marking Scheme Questions worth 1 mark or 2 marks
Design of Questions
  • Application
  • Comprehension
  • Analysis & Synthesis
  • Recall
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 2025 Exam Pattern for DA Check Now
GATE 2025 Official Website www.gate2025.iitr.ac.in

GATE DA Subject Wise Weightage

The GATE Test Paper for Data Science and Artificial Intelligence includes various subjects as per the prescribed syllabus. Candidates need to prepare all the subjects in a detailed form to perform well in the exam. In order to guide the aspirants for effective preparation, we have bifurcated the GATE DA Subject Wise Weightage in the below table:

GATE 2025 DA Subject Wise Weightage
Name of Subject Weightage of Marks
General Aptitude 15 marks
Probability and Statistics 08-10 marks
Linear Algebra 10-12 marks
Calculus and Optimization 10-12 marks
Programming, Data Structures, and Algorithms 12-15 marks
Database Management and Warehousing 10-12 marks
Machine Learning 7-8 marks
Artificial Intelligence (AI) 15-18 marks

GATE Data Science and AI Previous Year Papers

The previous year papers serves as the best resource to prepare for the exam in an effective mode as it makes aspirants well aware of the difficulty level, weightage, and trends of questions. As the GATE DA is a newly introduced discipline in GATE, so the previous papers are not available. But the aspirants go through the question paper of 2024 held on February 3 to understand the level of paper. Aspirants must solve the GATE DA Previous Year Papers as they play a vital role to enhance the preparation of aspirants.

GATE Data Science and AI Online Course

Candidates who are planning to appear for the GATE Data Science and AI Exam 2025, must enroll in best study material prepared by Physics Wallah to cover the entire syllabus in a detailed manner. The GATE DA Online Courses by PW are prepared by experienced teachers as per the requirement of exam to offer quality education at an affordable cost. The course will provide daily live classes, practice sessions, doubt sessions, and mock tests. The direct link to access the PW GATE DA Course is tabulated here:

PW GATE 2025 DA Online Course
Course Name Explore Link
Vijay 2.0 GATE 2025 Rank Improvement Batch - Data Science & AI Click Here
Parakram GATE 2025 Batch B - Data Science & AI Click Here
Vijay GATE 2025 Batch - Data Science & AI Click Here

GATE Data Science and AI FAQs

Q. When will online registration start for GATE Data Science and AI Exam 2025?

Ans. The online registration process for GATE Data Science and AI Exam 2025 will start in August 2024 with the release of official notification @gate.iitr.ac.in.

Q. Who will conduct the GATE DA Exam 2025?

Ans. The GATE DA (Data Science and Artificial Intelligence) Exam 2025 will be conducted by IIT Roorkee.

Q. Where can I find GATE DA Subject Wise Weightage?

Ans. Aspirants must check the GATE DA Subject Wise Weightage from the article given here.

Q. Can I crack GATE DA Paper in first attempt?

Ans. Yes, the aspirants need to follow the well-structured study plan and preparation tips to crack the GATE DA Paper in first attempt with a good score.
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