gate da Syllabus 2026 - Complete Topic List
Comprehensive syllabus with subject-wise weightage based on previous year question analysis (2023-2025)
Comprehensive syllabus with subject-wise weightage based on previous year question analysis (2023-2025)
The GATE Data Science and Artificial Intelligence (DA) 2027 course is a structured, data-driven preparation path designed for the 100-mark, 65-question computer-based test. Unlike traditional GATE papers, the DA exam features no separate "Engineering Mathematics" section. Instead, Probability, Linear Algebra, and Calculus are examined as core subjects carrying direct sectional weight. Our curriculum enforces a strict mathematical dependency chain, ensuring you master these foundational topics before advancing to complex Machine Learning and Artificial Intelligence modules. Built specifically
Unit: Numerical Computation & Estimation
Unit: Data Interpretation
Unit: Programming Fundamentals
Unit: Data Structures
Unit: Algorithms
Unit: Logic
Unit: Matrices
Unit: Matrix Decompositions
Unit: Vector Spaces
Unit: Unit 1 — Linear Algebra
Unit: Unit 2 — Linear Algebra
Unit: English Grammar
Unit: Vocabulary
Unit: Reading Comprehension
Unit: Calculus
Unit: Optimization
Unit: Probability
Unit: Random Variables
Unit: Statistical Inference
Unit: Transformation of Shapes
Unit: Database Systems
Unit: Data Warehousing
Unit: Supervised Learning
Unit: Unit 1 — Machine Learning
Unit: Unit 2 — Machine Learning
Unit: Unsupervised Learning
Unit: Search
Unit: Knowledge Representation and Reasoning