Paper code: DA
GATE DA 2027 preparation
Data Science and Artificial Intelligence. Start with the syllabus, then practise previous year questions topic by topic.
Syllabus & weightage
Official syllabus, subject by subject.
Open →Previous year questions
SoonEvery PYQ with answer, concept and solution.
Practice questions
SoonTopic-wise practice with instant answers.
Mock tests
SoonFull-length tests in a GATE-style interface.
GATE DA subjects
- Probability and StatisticsCounting, probability, random variables, standard distributions and hypothesis testing.
- Linear AlgebraVector spaces, special matrices, linear systems, eigenvalues and matrix decompositions.
- Calculus and OptimizationSingle-variable calculus and optimization.
- Programming, Data Structures and AlgorithmsPython programming, core data structures, searching, sorting and graph algorithms.
- Database Management and WarehousingRelational databases, SQL, normalization, data preparation and data warehouse modelling.
- Machine LearningSupervised learning, model validation, neural networks, clustering and PCA.
- Artificial IntelligenceSearch, logic and reasoning under uncertainty.
GATE DA 2027 exam pattern
| Part | Marks |
|---|---|
| General Aptitude | 15 |
| Data Science & AI subjects | 85 |
| Total | 100 |
- Organising institute
- To be announced
- Exam date
- Feb 2027 (tentative)
- Mode
- Computer Based Test (CBT)
- Duration
- 3 hours
- Questions / Marks
- 65 questions · 100 marks
- Question types
- MCQ, MSQ and NAT
- General Aptitude
- 15 marks (common to all papers)
- Negative marking
- MCQ only: −1/3 (1-mark), −2/3 (2-mark). None for MSQ & NAT
- Score validity
- 3 years from result date