GATE Data Science and Artificial Intelligence (DA) is a specialized branch in the Graduate Aptitude Test in Engineering, introduced in 2024 to cater to the rapidly growing fields of data science, machine learning, artificial intelligence, and analytics. This branch tests your understanding of data structures, algorithms, machine learning, deep learning, statistics, and data analytics. Practicing GATE DA previous question papers is crucial for understanding the exam format and improving your performance.
Data Science and Artificial Intelligence represent the intersection of computer science, mathematics, and domain expertise, focusing on extracting insights from data and building intelligent systems. GATE DA aspirants typically include graduates from Computer Science, Information Technology, Mathematics, Statistics, and related backgrounds who wish to pursue higher studies or careers in tech companies, data analytics firms, research organizations, financial institutions, e-commerce companies, and AI startups. The field encompasses areas such as machine learning, deep learning, natural language processing, computer vision, big data analytics, and predictive modeling.
Key Subjects in GATE Data Science and Artificial Intelligence
Core Data Science & AI Subjects
- Machine Learning
- Deep Learning and Neural Networks
- Data Structures and Algorithms
- Statistics and Probability
- Data Mining and Analytics
Foundation Subjects
- Linear Algebra
- Calculus and Optimization
- Database Systems
- Computer Networks
- Operating Systems
GATE Data Science and Artificial Intelligence Previous Question Papers (2024-2025)
Download GATE DA previous year question papers with answer keys from 2024 to 2025. These GATE Data Science and Artificial Intelligence previous question papers help you understand the exam pattern, question types, difficulty level, and time management strategies. Solve these previous papers regularly to identify important topics and improve your problem-solving speed. These solved previous year papers are essential for effective GATE DA preparation. Regular practice with these previous question papers will help you score better in the actual exam.
| Year | Download |
|---|---|
| GATE 2025 | Question Paper|Answer Key |
| GATE 2024 | Question Paper|Answer Key |
GATE DA Paper Pattern & Trends
Exam Pattern: GATE DA consists of 65 questions (55 technical + 10 General Aptitude) worth 100 marks. The paper duration is 3 hours. Topics like Machine Learning, Data Structures and Algorithms, Statistics, and Database Systems are frequently tested. Studying the previous question papers helps you understand how these topics are distributed in the actual exam. Analyzing these previous question papers reveals the weightage of each topic.
Recent Trends (2024-2025)
Recent GATE DA previous question papers have shown consistent emphasis on Machine Learning with questions on supervised learning, unsupervised learning, neural networks, and deep learning, typically accounting for 18-22 marks. Data Structures and Algorithms topics focus on arrays, trees, graphs, dynamic programming, and algorithm analysis, maintaining 15-18 marks. Statistics and Probability covers probability distributions, hypothesis testing, regression analysis, and statistical inference, typically 10-12 marks. Database Systems and Data Mining together account for 8-10 marks. Linear Algebra and Calculus typically account for 5-8 marks. Reviewing these recent previous question papers helps understand the current exam trends.
Branch Introduction (2024)
GATE Data Science and Artificial Intelligence (DA) was introduced in 2024, making it one of the newest branches in the GATE examination. The introduction of this branch reflects the growing importance of data science and AI in modern technology and industry. The previous question papers from 2024-2025 establish the foundation for understanding the exam pattern and question distribution. As this is a new branch, analyzing these previous year papers helps identify the core topics and question patterns that are likely to continue in future examinations. The papers emphasize practical applications of data science and AI concepts, making them valuable resources for understanding the evolving nature of this field.
GATE DA Cutoff Marks
- GATE 2025: General - 29.0, OBC/EWS - 26.1, SC/ST/PwD - 19.3
- GATE 2024: General - 37.1, OBC/EWS - 33.3, SC/ST/PwD - 24.7
Related Resources
GATE DA Cutoff Marks
GATE Data Science and Artificial Intelligence cutoff marks for all years
GATE Exam Pattern
GATE exam structure, marking scheme, and question types
Note: All GATE DA previous question papers are provided for educational purposes. Regular practice with these previous year papers, combined with a strong understanding of core concepts, is essential for success in GATE Data Science and Artificial Intelligence. Make sure to download and save these previous papers for offline practice. Solving these previous question papers under timed conditions will help you prepare effectively for the actual GATE DA exam.