GATE Data Science Important Topics: GATE Data Science & Artificial Intelligence (DA) Important Topics cover the key areas that carry high weightage in the exam. These topics are selected based on the latest GATE DA syllabus and previous years’ question trends. Focusing on them helps candidates plan their preparation in a structured way. Regular revision of these topics improves accuracy and confidence in the exam. In this article, we will discuss the important topics, best books, etc., for the GATE Data Science & Artificial Intelligence subject.
GATE Data Science & Artificial Intelligence (DA) Important Topics: Overview
After seeing the rising demand for AI-focused data science professionals in India as well as the global market, IIT Guwahati has added Data Science & Artificial Intelligence (DA) as a new subject in GATE 2026. The inclusion of Data Science and Artificial Intelligence as subjects in the GATE 2026 exam shows the growing importance of these fields in various industries. A candidate from any engineering discipline can apply for the GATE Data Science and AI paper. An overview of the GATE Data Science & AI subject is provided below.
| GATE Data Science & Artificial Intelligence (DA) 2026: Overview | |
| Conducting Body | IIT Guwahati |
| Total Number of Questions | 65 |
| Maximum Marks | 100 |
| Time Allotted | 3 hours |
| Mode of Exam | Online |
| Type of Questions |
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GATE Data Science & Artificial Intelligence (DA): Important Topics
GATE Data Science & Artificial Intelligence (DA) exam consists of two sections i.e. General Aptitude and core Data Science & AI subjects. The weightage of General Aptitude and core Data Science & Artificial Intelligence is 15% and 85%, respectively. Candidates should also go through the GATE Data Science and AI syllabus in great detail to know the important topics that will be asked in the exam. Here we will discuss important topics for Data Science & AI.
Data Science & Artificial Intelligence Important Topics
| GATE Data Science and AI Important Topics | |
| Topic | Sub Topics |
| Probability and Statistics |
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| Linear Algebra |
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| Calculus and Optimization |
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| Programming, Data Structures and Algorithms |
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| Database Management and Warehousing |
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| Machine Learning |
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| Artificial Intelligence |
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What are the best books for GATE Data Science & AI
Choosing the right study materials is of utmost importance when preparing for the GATE Data Science & AI exam. As this paper is introduced in the GATE 2026 exam, it is better to get acquainted with the best books for this paper. You should also go through the GATE Syllabus as well. Here is a list of some highly recommended books for the GATE Data Science & Artificial Intelligence syllabus.
- Introduction to Probability by Dimitri P. Bertsekas & John N. Tsitsiklis
- Introduction to Linear Algebra by Gilbert Strang
- Learning Python by Mark Lutz
- Database Management Systems by Raghu Ramakrishnan and Johannes Gehrke
- Machine Learning for Beginners by Chris Sebastian
- Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
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