
GATE DA Syllabus: In the academic year 2026–2027, IISc Bangalore has introduced a brand-new paper known as GATE 2026 DA. The official GATE 2026 DA Syllabus PDF is now available at gate2026.iisc.ac.in. The Graduate Aptitude Test of Engineering will have 30 papers in total, including the GATE Data Science and AI paper.
A wide range of topics, including probability, statistics, linear algebra, algorithms, programming, data structures, database management systems, warehousing, machine learning, and artificial intelligence, are covered in the GATE Syllabus for Data Science and Artificial Intelligence (DA) 2026.
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The General Aptitude and Data Science and AI components of the GATE 2026 DA paper are separated. In the GATE 2026 exam, two portions are weighted 15% and 85% respectively. The following gives students the complete GATE 2026 Data Science & AI exam pattern:
| Particular | Details |
|---|---|
| DA Exam Mode for GATE | CBT (computer-based test) |
| GATE DA Duration | 3 Hours (180 Minutes) |
| DA Section-wise Weightage for GATE | Core Discipline - 85 scores, General Aptitude - 15 score |
| GATE DA Sectional Question Count | General Aptitude – 10 questions, Core Discipline- 55 questions |
| GATE DA Type of Questions | MCQs (Multiple Choice Questions) Numerical Answer Type (NAT) Questions Multiple Select Questions (MSQ) |
| GATE DA Total Number of questions | 65 |
| GATE DA Number of Sections | Two- General Aptitude and Core Discipline |
| GATE DA Total Marks | 100 |
| GATE DA Sectional Time Limit | None |
| GATE DA Exam Language | English |
Also Check GATE 2026 Exam Pattern `
The GATE 2026 DA question paper carries 100 marks, including 1-mark and 2-mark questions, like all previous GATE 2026 examinations. While there is no deductible marking for the NAT and MSQ, there is for each incorrect MCQ in the paper.
| Sections | Total Questions | Total Marks | |
|---|---|---|---|
| 1 mark Questions | 2 marks Questions | ||
| Core Discipline | 25 | 30 | (25 x 1) + (30 x 2) = 85 |
| General Aptitude | 5 | 5 | (5 x 1) + (5 x 2) = 15 |
| Total | 30 | 35 | 100 |
Aspirants interested in this profession can benefit greatly from the addition of Data Science and Artificial Intelligence in securing their dream position.
In the GATE two-paper combination, candidates who intend to take GATE Data Science and AI as their first choice may select CS, EC, EE, MA, ME, ST, and XE as their second choice.
| Subject | Topics |
|---|---|
| Database Management and Warehousing | Relational models include the ER model and SQL, as well as relational algebra, tuple calculus, normal form, file organization, indexing, data types, and data transformations like normalization, discretization, sampling, and compression. Data warehouse modeling includes concept hierarchies, multidimensional data model schema, and measures such as categorization and computations. |
| Machine Learning | (i) Supervised Learning: regression and classification issues, leave-one-out (LOO) cross-validation, k-folds cross-validation, multi-layer perceptrons, feed-forward neural networks, ridge regression, logistic regression, k-nearest neighbor, naive Bayes classifier, linear discriminant analysis, support vector machines, decision trees, bias-variance trade-off; (ii) Unsupervised Learning: single-linkage, multiple-linkage, dimensionality reduction, principal component analysis, hierarchical clustering, top-down, and bottom-up. |
| Linear Algebra | Quadratic forms, systems of linear equations, and solutions; Gaussian elimination; eigenvalues and eigenvectors; determinant; rank; nullity; projections; LU decomposition; singular value decomposition; and linear dependence and independence of vectors and matrices. |
| Calculus and Optimization | Limit, continuity, and differentiability, Taylor series, maxima and minima, and single-variable optimization using functions of a single variable. |
| Probability and Statistics | Probability axioms, counting (permutations and combinations), Events, independent events, events that cannot coexist, marginal, conditional, and joint probabilities, Random variables, discrete random variables, and probability mass functions, as well as the Bayes Theorem, mean, median, mode, and standard deviation, correlation, and covariance Binomial distribution, uniform, exponential, continuous random variables, and probability distribution function t-distributions, chi-squared distributions, cumulative distribution function, normal, standard normal, PDF with conditions, Confidence interval, z-test, t-test, chi-squared test, central limit theorem, etc. |
| Programming, Data Structures, and Algorithms | Python programming, fundamental data structures, including stacks, queues, linked lists, trees, and hash tables; Basic sorting algorithms include selection sort, bubble sort, and insertion sort. Divide and conquer methods include mergesort and quicksort. introduction to graph theory; fundamental traversals and shortest path techniques. |
| AI | Search for conditional independence representation, accurate inference through variable elimination, and approximative inference through sampling in the areas of informed, uninformed, and adversarial logic, propositional logic, and predicate reasoning under uncertainty. |
Ques. When will the GATE 2026 exam held?
Ans: GATE Exam dates are February 3, 4, 10, and 11. The results are scheduled to be released on March 16, 2026. In NEW DELHI: The GATE 2026 exam schedule was issued on Thursday by the Indian Institute of Science (IISc), Bengaluru.
Ques. Can I take the GATE Data Science and AI exam along with another GATE exam in the same year?
Ans: You can take numerous GATE exams in the same year, yes. Check the GATE schedule to see if there are any potential conflicts with exam dates.
Ques. Are applicants from all fields eligible to take the GATE Data Science and AI paper?
Ans: Yes, individuals from a variety of disciplines may apply to take the GATE Data Science and AI paper. Anyone with an interest in data science and AI is welcome to apply.
Ques. Will there be a negative score on the GATE 2026 Data Science and AI paper?
Ans: Yes. The GATE 2026 Data Science and AI paper as well as the remaining 29 papers are subject to negative grading.
Ques. Has the 2026 syllabus for GATE Data Science and AI been made public?
Ans: The official notice for the GATE Data Science and AI syllabus 2026 is anticipated to be released by the end of August.
Ques. Is GATE 2026 challenging or simple?
Ans: GATE 2026 is a difficult exam, yet it is still a numbers game. 30 out of the total 100 points on the GATE 2026 exam are awarded for the General Aptitude and Mathematics sections.
Ques. How can GATE 2026 Data Science and AI Syllabus can be downloaded?
Ans: On its official website, gate2026.iisc.ac.in, GATE 2026 has published the GATE 2026 Data Science and AI Syllabus. Students can get the PDF by selecting PAPERS & SYLLABUS and downloading it.
*The article might have information for the previous academic years, please refer the official website of the exam.
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