How to Prepare for GATE DA 2028
Last Updated :
23 Jul, 2025
The GATE Data Science and Artificial Intelligence (DA) is a fantastic opportunity for anyone dreaming of a career in AI or data science. Introduced in 2024, this exam tests your skills in cutting-edge tech fields. Preparing for GATE DA 2028 might seem tough, but with the right plan, it’s totally doable! This article is your beginner-friendly guide to ace the exam.
Understanding GATE DA 2028
GATE DA is a national-level exam for those wanting to pursue postgraduate studies or jobs in data science and AI. It’s a 3-hour, 100-mark test split into two parts: General Aptitude (15 marks) and core Data Science and AI topics (85 marks). Knowing the syllabus and exam pattern is the first step to success. The exam tests your understanding of math, programming, and AI concepts, making it a gateway to top institutes like IITs and NITs.
GATE DA 2028 Syllabus
The GATE DA syllabus covers seven key areas that are easy to understand if broken down. Here’s a simple overview:
| Topic | What It Covers |
|---|
| Probability and Statistics | Basics of chance, data analysis, and patterns |
| Linear Algebra | Matrices, vectors, and their applications |
| Calculus and Optimization | Functions, derivatives, and finding the best solutions |
| Programming | Coding in Python, basic data structures like lists and trees |
| Data Structures and Algorithms | Organizing data and solving problems efficiently |
| Database Management and Warehousing | Storing and managing large datasets |
| Machine Learning and AI | Building smart systems that learn from data |
Focus on Machine Learning, Probability, and Linear Algebra, as they often carry more weight. The General Aptitude section, common to all GATE papers, tests verbal and numerical skills and is a great way to score easy marks.
Marking Scheme and Exam Pattern
The GATE DA 2028 exam has 65 questions worth 100 marks, divided into:
- General Aptitude: 10 questions (15 marks).
- Core DA Subjects: 55 questions (85 marks).
Questions come in three types: Multiple Choice Questions (MCQs), Multiple Select Questions (MSQs), and Numerical Answer Type (NATs). MCQs have negative marking: -1/3 for 1-mark questions and -2/3 for 2-mark questions. MSQs and NATs have no negative marking. Here’s a quick look:
| Section | Marks | Questions | Negative Marking |
|---|
| General Aptitude | 15 | 10 | Yes (MCQs only) |
| Core DA Subjects | 85 | 55 | Yes (MCQs only) |
The exam is online, and you’ll have 3 hours to complete it.
Important Sections to Focus On
To score high, prioritize high-weightage topics like Machine Learning, Probability, and Linear Algebra. Machine Learning includes algorithms like regression and decision trees, which are often heavily tested. Probability and Statistics help you understand data patterns, while Linear Algebra is key for AI models. Don’t skip General Aptitude—it’s straightforward and can boost your score. Practice these areas using simple resources to build confidence.
Preparation Tips for Beginners
- Make a Study Plan: Break the syllabus into small chunks and study daily. Allocate more time to tough topics.
- Use Simple Resources: Start with books like “Introduction to Machine Learning” or online courses from platforms like GeeksforGeeks.
- Practice Past Papers: Solve previous years’ GATE questions to understand the exam pattern.
- Take Mock Tests: Simulate exam conditions to improve speed and accuracy.
- Revise Regularly: Keep short notes for quick revision before the exam.
Time management is key, so balance study with breaks to stay fresh.
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Conclusion
Preparing for GATE DA 2028 is all about planning and practice. With a clear syllabus, focus on high-weightage topics, and beginner-friendly resources, you can crack this exam. Stay consistent, practice daily, and believe in yourself. Your dream of mastering data science and AI is just one exam away—start today and shine in 2028!
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