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GATE Data Science and AI Syllabus 2024 PDF Download Link and Exam Pattern

IISc Bangalore uploaded the GATE Data Science and AI Syllabus 2024 at The candidates who are going to take the GATE Data Science and AI (DA) Exam can check the detailed GATE Data Science and AI Syllabus 2024 through this article. 

GATE Data Science and AI Syllabus 2024

IISc Bangalore has released the official GATE Data Science and AI Syllabus 2024 on its official website With the launch of the GATE 2024 Official Website, the new subject of Data Science and Artificial Intelligence Syllabus for GATE Exam 2024 is being added to the course syllabus for GATE 2024.

GATE Exam 2024 Introduces Data Science and Artificial Intelligence

GATE 2024 DA (Code for Data Science and Artificial Intelligence) is a new paper being offered by IISc Banglore in the 2024-25 academic year. This is a positive step that indicates the increasing significance of these sectors. Data science and artificial intelligence are fast changing the way we live and work, and they are becoming increasingly important in a variety of professions. The official website,, has published the GATE 2024 DA Syllabus PDF.

GATE Data Science and AI Syllabus 2024-Overview

In the year 2024 of the GATE Exam, IIS Bangalore added one more subject to the GATE 2024 Exam. Data Science and Artificial Intelligence is the subject that has been added to it and from now onwards the total number of papers has increased from 29 to 30 for more information candidates can check the below table:

GATE Date Science and AI Syllabus-Overview
GATE Full Form Graduate Aptitude Test for Engineering (GATE)
GATE Conducting Authority IISc Bangalore
GATE Total No. of Papers 30 (Data Science & Artificial Intelligence added)
GATE Notification Release Date
GATE Starting Date of Application Started
GATE Last Date of Application 29 September 2023 (without late fees)
Mode of Exam Computer Based Test (CBT)
Number of Questions Asked 65
GATE Marks Distribution 15 Marks (General Aptitude) + 85 Marks (Subject Questions)= 100 Marks (Total)
GATE Exam Language English
GATE Marking Scheme One Mark and Two Marks
Negative Marking Yes (for MCQ & MSQ)
GATE Official Website

Check: GATE 2024 Page

What is Data Science and Artificial Intelligence?

Data Science and Artificial Intelligence are two closely related fields that have gained significant prominence in recent years due to advancements in technology and the abundance of data. Data Science is an interdisciplinary field that combines various techniques, methodologies, and tools to extract insights and knowledge from structured and unstructured data.

The key components of data science include data cleaning, data preprocessing, data analysis, data visualization, and predictive modeling. Major aspects of Data Science include Data Collection, Data Cleaning and Preprocessing,  Machine Learning, etc.

Artificial Intelligence is a broader field that involves the development of intelligent systems that can mimic human intelligence and perform tasks that typically require human cognitive abilities. AI encompasses various subfields, including machine learning, natural language processing (NLP), computer vision, robotics, expert systems, and more.

Data Science and AI often go hand in hand, as AI algorithms are commonly used in data science to build predictive models and make data-driven decisions. As these fields continue to evolve, they have a significant impact on industries, driving innovation and improving efficiency and decision-making processes.

Click here for the GATE 2024 Study Kit

GATE Data Science and AI Syllabus 2024 Detailed

The detailed GATE Data Science and AI Syllabus 2024 is released by the IISc Bangalore on the Graduate Aptitude Test for Engineering official website. The candidates who are going to take the GATE Data Science and AI Exam should know the detailed syllabus as given in the table below:

GATE Data Science and AI Syllabus 2024-Topic Wise
Topic Syllabus
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, covariance and random variables
  • Discrete random variables and probability mass functions
  • Uniform, Bernoulli, binomial distribution
  • Continuous random variables
  • 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 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 neighbor
  • 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, multi-layer perceptron, feed-forward neural network
  • Unsupervised Learning: clustering algorithms, k-means/k-medoid, hierarchical clustering
  • top-down, bottom-up: single-linkage, multiple- linkage, dimensionality reduction, principal component analysis.
  • Search: informed, uninformed
  • Adversarial; logic, propositional, predicate
  • Reasoning under uncertainty topics – conditional independence representation
  • Exact inference through variable elimination
  • Approximate inference through sampling.

GATE Data Science and Artificial Intelligence Syllabus 2024 PDF

The official GATE Data Science and Artificial Intelligence Syllabus 2024 PDF is released on the GATE official website As Data Science & Artificial Intelligence is at a boom right now so the addition of it will strengthen the career of engineering graduates to get their dream job. The direct link to download the Data Science and Artificial Intelligence Syllabus for GATE 2024 PDF is given below:

Download the GATE Data Science and Artificial Intelligence Syllabus 2024 PDF

GATE Data Science & AI Syllabus 2024-Highlights

  • As per insights from industry experts and various coaching institutes, the GATE 2024 Data Analytics (DA) Syllabus comprises approximately 40% Mathematics, 25% Programming and Database topics within the field of Computer Science, while the remaining portion encompasses Artificial Intelligence (AI) and Machine Learning (ML).
  • Candidates taking papers like Computer Science (CS), Electrical Engineering (EE), Electronics and Communication Engineering (EC), and Mechanical Engineering (ME) may find GATE 2024 DA papers somewhat manageable due to the overlapping syllabus with subjects like Mathematics, CS, EE, and ECE.
  • Furthermore, experts anticipate that the Indian Institute of Science (IISc) Bangalore, which conducts GATE, may structure the GATE 2024 DA paper in a way where the Mathematics-related sections could be relatively challenging, while AI and machine learning topics might be somewhat more approachable. This could be attributed to the fact that this paper is being introduced for the first time in 2024.
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What is the syllabus of Data Science and Artificial Intelligence GATE 2024?

The GATE Data Science and Artificial Intelligence Syllabus 2024 is given in this article.

For how many disciplines GATE 2024 Exam be held?

GATE 2024 Exam will be held for 30 disciplines across India.

Is official GATE Data Science and Artificial Intelligence Syllabus 2024 out?

Yes, official GATE Data Science & Artificial Intelligence Syllabus 2024 is out on its official website.

Can I appear for both GATE Data Science and AI and another GATE paper in the same year?

Yes, you can appear for multiple GATE papers in the same year. Make sure to check the GATE schedule for any possible clashes in exam dates.

Is the GATE Data Science and AI paper applicable to candidates from all disciplines?

Yes, the GATE Data Science and AI paper is open to candidates from various disciplines. Anyone interested in data science and AI can appear for this paper.

Are there any prerequisites for understanding the GATE DSAI syllabus?

A foundational understanding of Data Science and Artificial Intelligence concepts will be helpful. Candidates with relevant educational backgrounds or work experience in these fields will find it advantageous.

How can I use the GATE DSAI syllabus for effective preparation?

Organize your study plan based on the syllabus. Break down topics into manageable sections, allocate time to each, and ensure you cover all areas thoroughly.

When was official GATE Data Science and AI Syllabus 2024 released?

The official GATE Data Science and AI Syllabus 2024 was released on 12 August 2023.

Is Engineering mathematics included in GATE Data Science Syllabus?

Yes, various topics from Engineering mathematics like linear algebra, probability, etc is included in GATE Data Science Syllabus

Is AI and data science tough?

Yes, AI and data science requires basic knowledge of mathematics, statistics and programming to master it.

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