GATE Data Science & Artificial Intelligence

The GATE 2027 notification introduces important updates for candidates preparing for the Data Science & Artificial Intelligence (DA) paper. Along with a three-weekend examination schedule, IIT Madras has announced DigiLocker-integrated registration with facial authentication while continuing the eligibility for third-year undergraduate students, making it important to begin your preparation with the latest guidelines in mind.

Physics Wallah supports your GATE Data Science & Artificial Intelligence preparation through dedicated online courses, live and recorded classes, comprehensive study material, regular practice tests, and guidance from experienced faculty. This page covers the latest eligibility, exam pattern, syllabus, and other essential details to help you prepare confidently for GATE 2027.

GATE Data Science & Artificial Intelligence

Data Science involves the extraction, analysis, and interpretation of huge data to find insights and patterns that can guide decision-making by combining techniques from statistics, computer science, and domain-specific knowledge.

Artificial Intelligence is the simulation of human intelligence processes by computers. AI aims to enable machines to solve problems, recognize patterns, learn from experience, and perform complex tasks autonomously. The GATE Data Science & Artificial Intelligence paper was introduced by IISc Bangalore in the GATE 2024 examination.

GATE 2026 Data Science & Artificial Intelligence Exam Details

The GATE 2027 Data Science & Artificial Intelligence paper will be conducted by IIT Madras as part of the Graduate Aptitude Test in Engineering.

GATE Data Science & AI Exam Pattern

The GATE Data Science and Artificial Intelligence exam will include 65 questions from General Aptitude, Engineering Mathematics, and Core Subjects of DS & AI. A detailed GATE DA Exam Pattern is mentioned below:

• Total Questions: 65 questions (General Aptitude, Engineering Mathematics, and Core Data Science & AI subjects)
• Marks Distribution: 15 marks for General Aptitude, 15 marks for Engineering Mathematics, 70 marks for Data Science & AI subjects
• Duration: 3 hours
• Negative Marking: 1/3 mark for 1-mark MCQs, 2/3 mark for 2-mark MCQs

GATE Data Science & AI Syllabus

The GATE Data Science and AI syllabus includes the following topics:

• Mathematical Foundations (Linear Algebra, Probability, Statistics, Calculus)

• Programming (Python, Data Structures, Algorithms)

• Data Science (Data Analysis, Machine Learning, Data Visualization)

• Artificial Intelligence (Search Algorithms, Game Theory, Heuristics)

• Deep Learning (Neural Networks, CNN, RNN, etc.)

• Data Mining

• Computational Models and AI Algorithms

GATE DS & AI Eligibility Criteria

Candidates must possess a B.E./B.Tech. degree in Computer Science, IT, Electronics, or related fields to be eligible for the GATE DA Paper. 

• Education: Bachelor’s degree in Computer Science / IT / Electronics or related disciplines from a recognized University / Institute.

• Year of Study: Candidates who are currently in the third year, final year, or have completed a Bachelor's degree in Computer Science, Information Technology, Electronics, Data Science, Artificial Intelligence, or an equivalent programme are eligible to apply, as per the latest GATE 2027 notification.

Check: GATE DA Previous Year Papers

Career Opportunities through GATE DS & AI

Data Science and Artificial Intelligence is a diverse specialization in engineering that offers a rewarding career to technical aspirants. The GATE DA Score not only offers postgraduate admission but it will provides job offers from public sector undertakings:

• Higher Studies: Admission to M.Tech, M.S., and Ph.D. programmes at IITs, IISc, NITs, and other participating institutes.
• PSU Opportunities: Select public sector organisations may consider GATE scores for relevant technical roles, depending on their recruitment notifications.
• Research & Technology Careers: A strong GATE score can support opportunities in research organisations and strengthen your profile for roles in data science, artificial intelligence, analytics, and related technology domains.