GATE DA Important Topics 2025: Check Data Science and AI Topic Wise Weightage, Scoring Chapters

GATE Data Science & Artificial Intelligence (DA) Important Topics: The GATE 2025 Data Science and Artificial Intelligence (DA) exam is a specialised paper introduced to assess candidates' knowledge in the rapidly evolving fields of data science, machine learning, and AI. To excel in this paper, aspirants must focus on core concepts spanning mathematics, programming, algorithms, and machine learning. This article highlights the important topics that candidates should prioritise during their preparation.

GATE Data Science & Artificial Intelligence (DA) Important Topics: Overview

Recognizing the increasing demand for AI-focused data science professionals in India and globally, IIT Roorkee has introduced Data Science & Artificial Intelligence (DA) as a new subject in GATE 2025. This addition highlights the growing significance of these fields across various industries. Candidates from any engineering discipline are eligible to apply for the GATE Data Science & AI paper. Below is an overview of this newly introduced subject.

GATE Data Science & Artificial Intelligence (DA) Important Topics 

The GATE Data Science & Artificial Intelligence (DA) exam comprises two sections: General Aptitude and Core Data Science & AI subjects. The weightage is distributed as 15% for General Aptitude and 85% for Core Data Science & AI. To excel in the exam, candidates must thoroughly review the GATE Data Science & AI syllabus to understand the key topics. In this section, we will explore the most important topics for Data Science & AI.

Data Science & Artificial Intelligence Important Topics 

What are the best books for GATE Data Science & AI

Selecting the right study materials is crucial for effective GATE Data Science & AI preparation. Since this paper is newly introduced in GATE 2025, it is essential to familiarize yourself with the best books available. Additionally, candidates should carefully review the GATE syllabus to ensure comprehensive preparation. Below is a list of 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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