Open In App

GATE Data Science and Artificial Intelligence Syllabus 2025

Last Updated : 03 Apr, 2024
Improve
Improve
Like Article
Like
Save
Share
Report

GATE 2025 DA (Data Science and Artificial Intelligence) is a new paper added by GATE Authorities last year. With the addition of Data Science and Artificial Intelligence in GATE, students can choose one more field for their master’s (ME) or postgraduate engineering (M.Tech).

In this GATE Data Science and Artificial Intelligence Syllabus 2025 Guide, We have briefly explained the section-wise syllabus, eligibility criteria, exam pattern, marking scheme, exam tips, and book recommendations to help students for the upcoming GATE exam.

GATE-Data-Science-and-Artificial-Intelligence-Syllabus-2025

GATE Data Science and Artificial Intelligence Syllabus 2025

Table of Content

GATE Data Science and Artificial Intelligence Syllabus PDF 2025

The GATE Data Science and Artificial Intelligence Syllabus 2025 is briefly described in this article. Because the subject was only recently established, applicants should consult credible and authentic sources for the syllabus to prepare for the GATE 2025 DA Exam.

GeeksForGeeks is a reliable and trustworthy source for the GATE 2025 Data Science and Artificial Intelligence exam.

Download the latest GATE Data Science and Artificial Intelligence Syllabus PDF here “GATE Data Science and Artificial Intelligence Syllabus“

GATE 2025 Eligibility Criteria for Data Science and Artificial Intelligence

GATE Eligibility Criteria 2025: Here you will find details about the GATE 2025 Eligibility Criteria like the exam’s age restriction, nationality, relaxation, requirements, etc. To appear in the Graduate Aptitude Test in Engineering and be deemed qualified for the test, candidates must fulfill the requirements of GATE 2025. We have Summarized the eligibility criteria for the GATE 2025 Data

Science and Artificial Intelligence exam below:

Criteria

Eligibility
Nationality
  • Indian nationality candidates will be eligible.
  • Candidates from other than India will be also eligible
Qualification for the GATE exam
  • Applicants must hold a master’s degree in any relevant science field or a diploma in engineering or technology.
  • Applicants may also appear for GATE 2025 if they are in the pre-final or final year of their qualifying degree.
  • Candidates from nations other than India who have earned or are working towards their qualifying degree: Must be in their third year or above, or have finished their Bachelor’s degree in Engineering, Technology, Science, Arts, or Commerce (duration: at least 3 years).
GATE Age Limit There is no age limit for GATE 2025.
GATE Attempt There is no constraint on the number of GATE attempts.

GATE Data Science and Artificial Intelligence (DA) Subjects

A variety of topics are covered in the GATE Data Science and Artificial Intelligence courses that are crucial for comprehending and succeeding in the discipline. The following are some of the main GATE data science and artificial intelligence topics covered in the curriculum:

GATE 2025 Data Science and AI Syllabus (Core Subjects)

The syllabus for GATE Data Science and Artificial Intelligence in 2025 is categorized into 7 sections, covering topics such as Probability and Statistics, Linear Algebra, Calculus and Optimization, Machine Learning, and AI. 

You can refer to the table below for a detailed breakdown of the GATE Data Science and Artificial Intelligence Syllabus 2025.

Sections-Wise (Topics)

Sub-Topics
Section 1: Probability and Statistics                                                                                                                                             
Section 2: Linear Algebra
Section 3: Calculus and Optimization 
Section 4: Programming, Data Structures and Algorithms
Section 5: Database Management and Warehousing
Section 6: Machine Learning
Section 7: Artificial Intelligence (AI)
  • Search: informed, uninformed, adversarial
  • Logic: Propositional Logic, Predicate Logic
  • Reasoning under Uncertainty Topics
  • Conditional Independence Representation
  • Exact Inference through Variable Elimination
  • Approximate Inference through Sampling

Also Check: GATE 2025 Syllabus For CSE

GATE 2025 Preparation Tips for Data Science and Artificial Intelligence

Here are some tips for cracking GATE 2025 with AI and DS:

  • Before you start studying, familiarize yourself with the GATE 2025 exam pattern and syllabus.
  • Create a disciplined study schedule and follow it religiously.
  • Determine which GATE 2025 themes are more important and focus more on them.
  • Choose relevant reference sources for your research.
  • Acknowledge your strengths and concentrate on strengthening your weaknesses.
  • To get accustomed to the format of the question paper, take practice exams.

GATE 2025 Data Science and Artificial Intelligence Exam Pattern

For the GATE 2025 data science and artificial intelligence exam, here is the detailed exam pattern:

GATE 2025  Artificial Intelligence and Data Science(DA) Exam Pattern
Exam Duration 3 hour
Mode of Examination Online Computer Based Test(CBT)
Total Marks 100
Total Questions

65 Questions Split in:

  • General Aptitude-10 questions
  • Artificial Intelligence and Data Science(DA)-55 questions
Types of Question
  • MCQs(Multiple Choice Questions)
  • MSQs(Multiple Select Questions)
  • NAT(Numerical Answer Type Questions)
Marks Distribution
  • General Aptitude= 15 questions worth 25 marks
  • Core Subject= 50 Questions worth 75 marks
Negative Marking

*Applicable only to wrongly answered MCQ

  • -1/3 for 1 mark MCQ
  • -2/3 for 2 mark MCQ

GATE 2025 Data Science and Artificial Intelligence Marking Scheme

please find below the revised marking scheme for gate 2025 Data Science and Artificial Intelligence:

Gate 2025 Data Science and Artificial Intelligence Marking scheme
SECTIONS Total Questions Marking
General Aptitude 15

5 question x 1 marks

  • +1 marks(correct)
  • -1/3 for incorrect answer

5 question x 2 marks

  • +2 mark (Correct)
  • -2/3 (incorrect)

Total marks=15
Core Discipline 50

25 question x 1 marks

  • +1 marks(Correct)
  • -1/3 (incorrect)

25 question x 2 marks

  • +1 mark(Correct)
  • -1/3 mark(Incorrect)

Total Marks= 85
  Total Questions = 65 Total Marks= 100

How Do I Prepare for GATE 2025 Data Science and Artificial Intelligence?

GATE is one of the toughest competitive exams, which requires practice and preparation to crack it. There are various ways to prepare for a GATE exam. Some of them are listed below.

  • Make Appropriate Plans: Before beginning to study for an exam, it is always a good idea to make appropriate plans. Make weekly, monthly, and annual plans out of the plan.
  • Recognize Your Strengths and Weaknesses: Knowing your strengths and weaknesses is a necessary first step before delving deeply into anything.
  • Learn Well: It is quite hard to pass the test without doing your homework. We are giving you the necessary resources to study the GATE syllabus. For GATE studies, you might consult the GATE CS Notes.
  • Review Thoroughly: Whether it’s for the GATE or any other exam, you must thoroughly review it to pass it. For revision, you can consult the GATE CSE brief notes and the Last Minute Notes.
  • Practice Previous Year Questions: To pass any test, it is crucial to practice Previous Year Questions. We provide last year’s questions for every subject, which will aid you in your preparation.
  • Practice Mock Tests: Before the real exam, mock tests assist in the analysis of the exam papers. It is also incredibly helpful for any exam. To help students get ready for the test, we also offer free practice exams.

Book Recommendations to Prepare for Gate 2025 AI and DS Exam

To crack the tough exam at the gate, one should be fully prepared. You will need good Study materials for this, so we have curated the list of best books to prepare for the GATE 2025 artificial intelligence and data science exam:

Books Recommendations to Prepare for GATE DS and AI 2025
Book Author
Introduction to Probability Dimitri P. Bertsekas & John N. Tsitsiklis
Introduction to Linear Algebra Gilbert Strang
Learning Python Mark Lutz
Database Management Systems Raghu Ramakrishnan and Johannes Gehrke
Machine Learning for Beginners Chris Sebastian
Artificial Intelligence: A Modern Approach Stuart Russell and Peter Norvig
Pattern Recognition and Machine Learning Christopher M. Bishop
Deep Learning Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Elements of Statistical Learning Trevor Hastie, Robert Tibshirani, and Jerome Friedman
Speech and Language Processing Daniel Jurafsky and James H. Martin
Computer Vision: Algorithms and Applications Richard Szeliski
Python Machine Learning Sebastian Raschka and Vahid Mirjalili
Introduction to the Theory of Computation Michael Sipser
Bayesian Reasoning and Machine Learning David Barber
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Aurélien Géron

Also Check:

GATE 2025 Data Science and Artificial Intelligence Syllabus -FAQs

What is GATE DS and AI?

The Graduate Aptitude Test in Engineering for Data Science and Artificial Intelligence is referred to as GATE DS and AI. This particular GATE test is intended to evaluate applicants’ knowledge and skills in the areas of artificial intelligence and data science.

When is the GATE DS and AI Exam conducted?

The GATE DS and AI examination is conducted along with other GATE Exams. For the most recent information on exam dates and enrollment deadlines, visit the official GeeksforGeeks website or the official GATE website.

Who is conducting GATE 2025 Examination?

IIT Roorkee is going to conduct GATE 2025 Examination.

Which is better GATE CS or GATE DA?

GATE CS and GATE DA, both are important streams that will help you in shaping your career. Some part of syllabus is same in both the Papers. Any candidate can attempt both the papers.

Is GATE DA tough?

GATE DA is little bit more complex than GATE CS, as it includes a depth in Artificial Intelligence, as well as it requires solid foundation in math, machine learning and statistics.



S
shubhamthakur05
Improve
Next Article
GATE 2024 Introduces Data Science and Artificial Intelligence (DA)

Similar Reads

GATE 2024 Introduces Data Science and Artificial Intelligence (DA)
The Graduate Aptitude Test for Engineers (GATE) 2024 has been launched by the Indian Institute of Science (IISc), Bangalore recently released an interesting modification to the course syllabus for the year 2024, which is an important change that reflects the evolving environment of technological Development. With the addition of a special paper, as
5 min read
Difference Between Data Science and Artificial Intelligence
Data Science: In 1974, Peter Naur proposed data science as an alternative name for computer science. Data Science is a subset of Artificial Intelligence. Simply data science is a collection of data to analyze and we make a decision on behalf of it. It uses scientific methods, processes, algorithms, and insights from many structural and unstructured
5 min read
10 Best GATE Coaching 2025 - Online/Offline Courses
The Graduate Aptitude Test in Engineering, most commonly referred to as GATE, is a three-hour test jointly conducted yearly by the IISc and leading IITs on behalf of the Ministry of Education(MoE) that tests a candidate's knowledge in Engineering and sciences. The test is for Undergraduates in their pre-final or final year interested in pursuing a
12 min read
How Artificial Intelligence (AI) and Machine Learning(ML) Transforming Endpoint Security?
Introduction : Artificial intelligence (AI) and machine learning (ML) are transforming endpoint security by enabling faster and more accurate threat detection, improved threat prevention, and more efficient incident response. Endpoint security refers to the protection of endpoints, such as desktops, laptops, servers, and mobile devices, from cyber
10 min read
Difference between Artificial Intelligence and Automation
Artificial Intelligence: Artificial Intelligence(AI) can be defined as the collection of different technologies that allow the machine to act at the human level of intelligence. This process required learning from past experiences and self-correction to make a certain decision and to reach a certain conclusion. Automation: Automation is designed as
2 min read
Difference Between Internet of Things and Artificial Intelligence
Internet of Things: It field of computer technology, where physical devices are communicating over the Internet. Devices are termed as things that are sensors, and actuators that communicate and send information to each other on the web. It is an ecosystem where the interacting devices share data through a communication media known as the internet.
5 min read
Mapping Techniques in Artificial Intelligence and Robotics
In Artificial Intelligence and Robotics, Robots require maps to judge their spatial environment. A map is nothing but a spatial dimension around the robot, required for its movement. It is a part of the SLAM(Simultaneous Localisation and Mapping)process. SLAM combines the Localisation of a robot as well as mapping of the environment simultaneously.
3 min read
Difference Between Artificial Intelligence and Software Development
In the world of present-day generation, terms often intermingle but symbolize wonderful fields of records: Artificial Intelligence (AI) and Software Development. While they often collaborate and percentage not unusual principles, they diverge in crucial tactics. Understanding the variations is critical for navigating the ever-evolving landscape of
5 min read
Difference Between Data Science and Business Intelligence
SufficientData Science: Data science is basically a field in which information and knowledge are extracted from the data by using various scientific methods, algorithms, and processes. It can thus be defined as a combination of various mathematical tools, algorithms, statistics, and machine learning techniques which are thus used to find the hidden
3 min read
How Artificial Intelligence is Impacting the Web Development?
Web Development is that comprehensive task that is done by web developers, UX designers, etc. behind the scenes to make a fast, secure, and engaging website. But such a development isn't complete if its potential isn't able to interact with the customers seamlessly interested in purchasing the products online from your websites. And at this point,
9 min read
Article Tags :
We use cookies to ensure you have the best browsing experience on our website. By using our site, you acknowledge that you have read and understood our Cookie Policy & Privacy Policy
Lightbox