Here at Toppersexam.com , you can practice a complete set of Mock Test Series along with a free GATE Data Science & Artificial Intelligence mock test designed by our expert faculty Team.
Free Mock Test Practice
GATE Data Science & Artificial Intelligence 2027 Free Mock Test Practice
Practice with exam-pattern mock tests for GATE Data Science & Artificial Intelligence 2027.
GATE Data Science & Artificial Intelligence Syllabus 2027, Exam Pattern
1
GATE Data Science & Artifical Intelligence Exam (Only MCQ) - English60 questions • 180 mins • 90 marks
Free Test →Free Important Questions
GATE Data Science & Artificial Intelligence 2027 Exam Free Online Question Bank
Combo Offers
GATE Data Science & Artificial Intelligence Combo Packages
We Launches Combo Offers ! with Heavy Discount and Cost Saving Prices. Combo Packages includes - Online Mock Test Series + Important Questions or MCQs + Previous Year Papers with Answer.
Combo Package
GATE Data Science & Artificial Intelligence
Combo - 12 (English)
1. Online Mock Test Series in English = 100 Tests.
2. Question Bank - 5000 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. EBook of GATE Data Science & Artificial Intelligence (1000 MCQ) PDF Format in English.
5. 1500 (+) Current Affairs MCQ with Answer PDF in English.
6. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 5000 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. EBook of GATE Data Science & Artificial Intelligence (1000 MCQ) PDF Format in English.
5. 1500 (+) Current Affairs MCQ with Answer PDF in English.
6. 1000 (+) GK MCQ with Answer PDF Book in English.
₹1071₹1233
Combo Package
GATE Data Science & Artificial Intelligence
Combo - 1 (English)
1. Online Mock Test Series in English = 10 Tests.
2. Question Bank - 1000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 1000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
₹201₹231
Combo Package
GATE Data Science & Artificial Intelligence
Combo - 2 (English)
1. Online Mock Test Series in English = 20 Tests.
2. Question Bank - 2000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 2000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
₹281₹311
Combo Package
GATE Data Science & Artificial Intelligence
Combo - 3 (English)
1. Online Mock Test Series in English = 30 Tests.
2. Question Bank - 3000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 3000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
₹341₹371
Combo Package
GATE Data Science & Artificial Intelligence
Combo - 4 (English)
1. Online Mock Test Series in English = 40 Tests.
2. Question Bank - 4000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 4000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
₹401₹431
Combo Package
GATE Data Science & Artificial Intelligence
Combo - 5 (English)
1. Online Mock Test Series in English = 50 Tests.
2. Question Bank - 5000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 5000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
₹421₹451
Combo Package
GATE Data Science & Artificial Intelligence
Combo - 6 (English)
1. Online Mock Test Series in English = 60 Tests.
2. Question Bank - 5000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 5000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
₹421₹481
Combo Package
GATE Data Science & Artificial Intelligence
Combo - 7 (English)
1. Online Mock Test Series in English = 70 Tests.
2. Question Bank - 5000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 5000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
₹481₹511
Combo Package
GATE Data Science & Artificial Intelligence
Combo - 8 (English)
1. Online Mock Test Series in English = 80 Tests.
2. Question Bank - 5000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 5000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
₹511₹541
Combo Package
GATE Data Science & Artificial Intelligence
Combo - 9 (English)
1. Online Mock Test Series in English = 90 Tests.
2. Question Bank - 5000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 5000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
₹521₹551
Combo Package
GATE Data Science & Artificial Intelligence
Combo - 10 (English)
1. Online Mock Test Series in English = 100 Tests.
2. Question Bank - 5000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 5000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
₹521₹581
Combo Package
GATE Data Science & Artificial Intelligence
Combo - 11 (English)
1. Online Mock Test Series in English = 100 Tests.
2. Question Bank - 5000 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. 1500 (+) Current Affairs MCQ with Answer PDF in English.
5. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 5000 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. 1500 (+) Current Affairs MCQ with Answer PDF in English.
5. 1000 (+) GK MCQ with Answer PDF Book in English.
₹971₹1041
Why practice here
GATE Data Science & Artificial Intelligence Syllabus 2027, Exam Pattern
Build speed, accuracy and confidence with structured practice.
GATE Data Science & Artificial Intelligence Syllabus 2027, Exam Pattern, Exam Date 2027
Detail Information about GATE has published notification 2027 for the Notification of Data Science & Artifical Intelligence Entrance Exam. Those Candidates who are Interested to the following Entrance exam and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this Exam with Latest Update Exam Pattern and the Exam Date also.
GATE Exam Highlights 2027
| Exam | Graduate Aptitude Test in Engineering (GATE) |
| Organization | Indian Institute of Technology (IIT) Madras |
| Application Mode | Online |
| Frequency of Examination | Annual |
| Exam Date 2027 | 06th, 07th, 13th, 14th, 20th & 21st February 2027 |
| Mode of Examination | Computer-Based Mode |
| Category | Syllabus and Exam Pattern |
| Purpose of Examination | Qualifying Examination for M.E./ M.Tech/ Ph.D admissions and PSU |
| Official Website | gate2027.iitm.ac.in |
GATE Data Science & Artificial Intelligence Syllabus 2027
Verbal Aptitude :
1. Basic English grammar
2. Tenses
3. Articles
4. Adjectives
5. Prepositions
6. Conjunctions
7. Verb-noun agreement and other parts of speech
8. Basic vocabulary
9. Words
10. Idioms
11. Phrases in context
12. Reading and comprehension
13. Narrative sequencing
Quantitative Aptitude :
1. Data interpretation
2. Data graphs (bar graphs, pie charts, and other graphs representing data)
3. 2- and 3-dimensional plots
4. Maps
5. Tables
6. Numerical computation and estimation
7. Ratios
8. Percentages
9. Powers
10. Exponents and logarithms
11. Permutations and combinations
12. Series
13. Mensuration and geometry
14. Elementary statistics
15. Probability
Analytical Aptitude :
1. Logic: deduction and induction
2. Analogy
3. Numerical relations and reasoning
Spatial Aptitude :
1. Transformation of shapes
3. Translation
4. Rotation
5. Scaling
6. Mirroring
7. Assembling
8. Grouping
9. Paper folding
10. Cutting
11. Patterns in 2 and 3 dimensions
Data Science & Artificial Intelligence :
Probability and Staisics : Couning (permutaion and combinaions), probability axioms, Sample space, events, independent events, mutually exclusive events, marginal, condiional and joint probability, Bayes Theorem, condiional expectaion and variance, mean, median, mode and standard deviaion, correlaion, and covariance, random variables, discrete random variables and probability mass funcions, uniform, Bernoulli, binomial distribuion, Coninuous random variables and probability distribuion funcion, uniform, exponenial, Poisson, normal, standard normal, t-distribuion, chi-squared distribuions, cumulaive distribuion funcion, Condiional PDF, Central limit theorem, confidence interval, z-test, t-test, chi-squared test.
Linear Algebra : Vector space, subspaces, linear dependence and independence of vectors, matrices, projecion matrix, orthogonal matrix, idempotent matrix, pariion matrix and their properies, quadraic forms, systems of linear equaions and soluions; Gaussian eliminaion, eigenvalues and eigenvectors, determinant, rank, nullity, projecions, LU decomposiion, singular value decomposiion.
Calculus and Opimizaion : Funcions of a single variable, limit, coninuity and differeniability, Taylor series, maxima and minima, opimizaion involving a single variable.
Programming, Data Structures and Algorithms :
1. Programming in Python
2. Basic data structures: stacks, queues, linked lists, trees, hash tables
3. Search algorithms: linear search and binary search
4. Basic soring algorithms: selecion sort, bubble sort and inserion sort
5. Divide and conquer: mergesort, quicksort; introducion to graph theory
6. Basic graph algorithms: traversals and shortest path.
Database Management and Warehousing :
ER-model, relaional model: relaional algebra, tuple calculus, SQL, integrity constraints, normal form, file organizaion, indexing, data types, data transformaion such as normalizaion, discreizaion, sampling, compression;
data warehouse modelling: schema for mulidimensional data models, concept hierarchies, measures: categorizaion and computaions.
Machine Learning :
(i) Supervised Learning : regression and classificaion problems, simple linear regression, muliple linear regression, ridge regression, logisic regression, k-nearest neighbour, naive Bayes classifier, linear discriminant analysis, support vector machine, decision trees, bias-variance
trade-off, cross-validaion methods such as leave-one-out (LOO) cross-validaion, k-folds crossvalidaion, muli-layer perceptron, feed-forward neural network;
(ii) Unsupervised Learning : clustering algorithms, k-means/k-medoid, hierarchical clustering, top-down, boƩom-up: single-linkage, muliplelinkage, dimensionality reducion, principal component analysis.
Artificial Intelligence : Search: informed, uninformed, adversarial; logic, proposiional, predicate; reasoning under uncertainty topics - condiional independence representaion, exact inference through variable eliminaion, and approximate inference through sampling.
Linear Algebra : Vector space, subspaces, linear dependence and independence of vectors, matrices, projecion matrix, orthogonal matrix, idempotent matrix, pariion matrix and their properies, quadraic forms, systems of linear equaions and soluions; Gaussian eliminaion, eigenvalues and eigenvectors, determinant, rank, nullity, projecions, LU decomposiion, singular value decomposiion.
Calculus and Opimizaion : Funcions of a single variable, limit, coninuity and differeniability, Taylor series, maxima and minima, opimizaion involving a single variable.
Programming, Data Structures and Algorithms :
1. Programming in Python
2. Basic data structures: stacks, queues, linked lists, trees, hash tables
3. Search algorithms: linear search and binary search
4. Basic soring algorithms: selecion sort, bubble sort and inserion sort
5. Divide and conquer: mergesort, quicksort; introducion to graph theory
6. Basic graph algorithms: traversals and shortest path.
Database Management and Warehousing :
ER-model, relaional model: relaional algebra, tuple calculus, SQL, integrity constraints, normal form, file organizaion, indexing, data types, data transformaion such as normalizaion, discreizaion, sampling, compression;
data warehouse modelling: schema for mulidimensional data models, concept hierarchies, measures: categorizaion and computaions.
Machine Learning :
(i) Supervised Learning : regression and classificaion problems, simple linear regression, muliple linear regression, ridge regression, logisic regression, k-nearest neighbour, naive Bayes classifier, linear discriminant analysis, support vector machine, decision trees, bias-variance
trade-off, cross-validaion methods such as leave-one-out (LOO) cross-validaion, k-folds crossvalidaion, muli-layer perceptron, feed-forward neural network;
(ii) Unsupervised Learning : clustering algorithms, k-means/k-medoid, hierarchical clustering, top-down, boƩom-up: single-linkage, muliplelinkage, dimensionality reducion, principal component analysis.
Artificial Intelligence : Search: informed, uninformed, adversarial; logic, proposiional, predicate; reasoning under uncertainty topics - condiional independence representaion, exact inference through variable eliminaion, and approximate inference through sampling.
GATE Data Science & Artificial Intelligence Exam Pattern 2027
| Examination Mode | Computer Based Test |
| Duration | 180 Minutes |
| Number of Subjects (Papers) | 29 |
| Sections | General Aptitude (GA) + Candidate’s Selected Subject |
| Types of Questions |
(a) Multiple Choice Questions (MCQ)
(b) Multiple Select Questions (MSQ)
(c) Numerical Answer Type (NAT)
|
| Questions for testing these abilities |
(a) Recall
(b) Comprehension
(c) Application
(d) Analysis and Synthesis
|
| Number of Questions | 10 (GA) + 55 (Subject) = 65 Questions |
| Total Marks | 100 |
| Marking Scheme | Questions carry 1 mark and 2 marks |
| Negative Marking |
For a wrong answer chosen in an MCQ, there will be a negative marking.
For 1-mark MCQ, 1/3 mark will be deducted for a wrong answer. Likewise, for 2-mark MCQ, a 2/3 mark will be deducted for a wrong answer. There is no negative marking for wrong answer(s) to MSQ and NAT questions.
|
GATE Data Science & Artifical Intelligence :
| S.No | Subject | No.of Question | Marks |
| 1 | General Aptitude | 5 (5 x 1) | 5 |
| 5 (5 x 2) | 10 | ||
| 2 | Data Science & Artifical Intelligence | 55 | 85 |
| Total | 65 | 100 |
GATE Exam Date 2026 : 06th, 07th, 13th, 14th, 20th & 21st February 2027
Starting Date of Application Form : 02nd September 2026
Last Date of Application Form : 27th September 2026
Starting Date of Application Form : 02nd September 2026
Last Date of Application Form : 27th September 2026
FAQs
GATE Data Science & Artificial Intelligence 2027 Exam Syllabus Frequently Asked Questions (FAQ's)
Here at Toppersexam.com , you can practice a complete set of Imporatnt Questions (MCQ) along with a Free GATE Data Science & Artificial Intelligence MCQ designed by our expert faculty.
In this article Page, we have provided the required syllabus of the GATE Data Science & Artificial Intelligence exam.
Being familiar with GATE Data Science & Artificial Intelligence Exam Pattern will help you understand the types of questions asked, difficulty level of the exam and important topics that require your keen attention. It will also acquaint you with the marking scheme and time allotted to each Topics.
GATE Data Science & Artificial Intelligence syllabus pdf download option is available here which will help you to get the PDF saved in your device that you can access anytime. It consists of a complete syllabus of GATE Data Science & Artificial Intelligence which you can refer to while preparing for the exams.
GATE Data Science & Artificial Intelligence exam is not tough but it depends on your preparation. The candidates find the Subject not challenging. The dedicated preparation in the right direction will undoubtedly take you towards the goal.
The candidates must be well versed and acquainted with the syllabus and the exam pattern. Select the areas where improvement is required and schedule your preparation accordingly. To ace this exam, the applicants ought to maintain speed with high accuracy. Practicing previous years question papers will help you understand the exam pattern and the level of difficulty of the exam. You need to hone your strengths and improve upon your weaknesses. Toppersexam.com will aid you through the preparation and drive you to success. At Toppersexam.com, you can practice a complete set of test series along with a free GATE Data Science & Artificial Intelligence mock test designed by our expert faculty.
The syllabus of GATE Data Science & Artificial Intelligence Exam includes all topics that are important for the exam and are necessary for thorough preparation. Toppersexam provides a complete and updated syllabus with a detailed topic-wise breakdown.
You can download the complete GATE Data Science & Artificial Intelligence Exam syllabus PDF from toppersexam.com. The PDF is available free and includes a detailed list of topics, section-wise subjects, and weightage for better exam preparation.
Yes, GATE Data Science & Artificial Intelligence Exam has a topic-wise syllabus that includes all relevant subtopics. Toppersexam provides the detailed breakdown, helping candidates focus on high-weightage areas and avoid missing important sections.
Toppersexam ensures that the GATE Data Science & Artificial Intelligence syllabus is updated for 2026. The latest syllabus reflects current exam trends, question patterns, and updated topics as per official notifications.
The GATE Data Science & Artificial Intelligence Exam pattern includes details like the number of sections, total questions, marks distribution, and exam duration. Toppersexam provides a comprehensive guide on exam format, marking scheme, and question types.
Yes, the majority of questions in GATE Data Science & Artificial Intelligence Exam are MCQs. Toppersexam provides practice MCQs with answers to help candidates understand the question pattern and improve accuracy.
Yes, questions are divided section-wise. Toppersexam provides a clear guide on how many questions are asked per section and their difficulty level for effective preparation.
Yes, Toppersexam offers online mock tests that strictly follow the GATE Data Science & Artificial Intelligence Exam pattern. These mocks help candidates practice time management and get real-exam experience.
Yes, exam patterns can change over time. Toppersexam provides updated information on the latest exam pattern, question types, and section-wise changes.
Understanding the exam pattern is crucial for time management, question prioritization, and strategy planning. Toppersexam guides candidates on how to use the pattern effectively to maximize scores.
Start by dividing the syllabus into sections and prioritizing high-weightage topics. Toppersexam provides a preparation strategy, along with topic-wise tips and sample questions to make syllabus analysis easier.
Yes, focusing on high-weightage topics improves efficiency. Toppersexam highlights important topics, helping candidates prioritize sections for better performance.
Toppersexam provides a free downloadable PDF that includes both the syllabus and detailed exam pattern. This helps candidates study offline and revise efficiently.