GATE 2025
GATE - Data Science & AI
Program Features
These programs provide virtual classroom experiences for live-interactive sessions. it is suitable for aspirants looking for a guided learning model.
- Live Classes
- Live recordings
- Study Material
- Online Test Series
- Doubt Clearing Sessions
- 1 : 1 Mentorship
Program Features
Access the best quality video lectures available 24*7 specially designed for students who are looking for flexible study hours.
- Live recordings
- Study Material
- Online Test Series
- Doubt Clearing Sessions
- 1 : 1 Mentorship
Program Features
GATE Coach comprehensive study materials prepared by India’s best educators to ace your exam preparation with all the relevant information.
- Study Material
- Online Test Series
- Doubt Clearing Sessions
- 1 : 1 Mentorship
GATE Data Science and Artificial Intelligence Exam Syllabus
Section 1: Mathematics
Probability and Statistics: Counting (permutation and combinations), probability axioms, Sample space, events, independent events, mutually exclusive events, marginal, conditional and joint probability, Bayes Theorem, conditional expectation and variance, mean, median, mode and standard deviation, correlation, and covariance, random variables, discrete random variables and probability mass functions, uniform, Bernoulli, binomial distribution, Continuous random variables and probability distribution function, uniform, exponential, Poisson, normal, standard normal, t-distribution, chi-squared distributions, cumulative distribution function, Conditional 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, projection matrix, orthogonal matrix, idempotent matrix, partition matrix and their properties, quadratic forms, systems of linear equations and solutions; Gaussian elimination, eigenvalues and eigenvectors, determinant, rank, nullity, projections, LU decomposition, singular value decomposition.
Calculus and Optimization: Functions of a single variable, limit, continuity and differentiability, Taylor series, maxima and minima, optimization involving a single variable.
Section 2: Programming, Data Structures and Algorithms:
Programming in Python, basic data structures: stacks, queues, linked lists, trees, hash tables; Search algorithms: linear search and binary search, basic sorting algorithms: selection sort, bubble sort and insertion sort; divide and conquer: mergesort, quicksort; introduction to graph theory; basic graph algorithms: traversals and shortest path.
Section 3: Database Management and Warehousing:
ER-model, relational model: relational algebra, tuple calculus, SQL, integrity constraints, normal form, file organization, indexing, data types, data transformation such as normalization, discretization, sampling, compression; data warehouse modelling: schema for multidimensional data models, concept hierarchies, measures: categorization and computations.
Section 4: Machine Learning:
(i) Supervised Learning: regression and classification problems, simple linear regression, multiple linear regression, ridge regression, logistic regression, k-nearest neighbour, naive Bayes classifier, linear discriminant analysis, support vector machine, decision trees, bias variance trade-off, cross-validation methods such as leave-one-out (LOO) cross-validation, k-folds cross-validation, multi-layer perceptron, feed-forward neural network;
(ii) Unsupervised Learning: clustering algorithms, k-means/k-medoid, hierarchical clustering, top-down, bottom-up: single-linkage, multiple-linkage, dimensionality reduction, principal component analysis.
Section 5: AI:
Search: informed, uninformed, adversarial; logic, propositional, predicate; reasoning under uncertainty topics — conditional independence representation, exact inference through variable elimination, and approximate inference through sampling.
Exam Pattern
Examination Mode – Computer-Based Test (Online)
Duration – 3 Hours
Sections – 2
General Aptitude (GA) and Course Subject
Type of Questions – Multiple Choice Questions (MCQs), Multiple Select Questions (MSQ), and Numerical Answer Type (NAT) Questions.
Design of Questions – Application, Analysis, synthesis, Comprehension, and Recall
Number of Questions
10 (GA) + 55 (subject) = 65 Questions
Total Marks – 100 Marks
Marking Scheme – All of the questions will be worth 1 or 2 marks
Negative Marking
Multiple Choice Questions (MCQ)
- For the 1-mark question, ⅓
- For 2 marks question, ⅔
There is NO negative marking for
- Multiple Select Questions (MSQ)
- Numerical Answer Type (NAT)
Preparation Tips
Preparing for GATE Data Science & AI is not an easy task and if you are going with self preparation it needs a lot of discipline. There is a lot of confusion about where to start and what to read. There is always a way out of this confusion and that is what this section is all about. Read the following articles to get an idea…
Early Revision Technique
There is no substitute for early revision. You need to start early.
You really want to give yourself sufficient time to revise all that you have contemplated and ensure that you grasp it. Last moment revision is considered useless. Revise each subject as you go, and ensure that you revise it completely as this will make modification a lot more straightforward. Eventually, the best tip is to focus on and know your syllabus, and beginning early is the most effective way to accomplish this.
Vary your revision techniques
Continuously revising, for example, reading your notes regarding a topic, is probably going to be very dull. Brighten up your revision period by revising various topics and methods.
Practice old question papers
Doing revision on previous papers will test your comprehension skills. Revise all previous year’s papers as much as you can.
Draw maps and keep techniques
Drawing mind maps or other synopsis charts to test what you can revise, and afterward, really look at them on your notes. Notice where you have left out a detail or where you forgot.
Take Regular breaks in between study schedule
Take regular breaks and don’t study continuously for hours. Basically, it is very hard to study for more than half an hour and keep concentrated.
Find those days when you can do more and utilize that day. self-preparation
FAQ’s
You can enrol in GATE Coach’s coaching programs by visiting our website and filling out the enrollment form.
Also, you can contact our admissions team for help.
GATE Coach offers coaching for various subjects and disciplines including Chemical Engineering, Metallurgy Engineering, Geology, Geophysics, and more.
You can access our online doubt resolution system by logging into your student portal on our website and submitting your queries. Our expert faculty will promptly address your doubts.
Yes, GATE Coach offers scholarship and financial assistance programs to eligible students. Please contact our admissions team for more information.
Yes, our video lectures are accessible on mobile devices through our dedicated mobile app, ensuring you can study anytime, anywhere.
GATE Coach’s study materials are curated by experienced faculty members and undergo rigorous review processes to ensure they meet the highest standards of quality and relevance.
GATE Coach stands out for its personalized coaching approach, comprehensive study materials, experienced faculty, and track record of producing successful candidates with top All India Ranks.
You can enrol in GATE Coach’s coaching programs by visiting our website and filling out the enrollment form.
Also, you can contact our admissions team for help.
GATE Coach offers coaching for various subjects and disciplines including Chemical Engineering, Metallurgy Engineering, Geology, Geophysics, and more.
You can access our online doubt resolution system by logging into your student portal on our website and submitting your queries. Our expert faculty will promptly address your doubts.
Yes, GATE Coach offers scholarship and financial assistance programs to eligible students. Please contact our admissions team for more information.
Yes, our video lectures are accessible on mobile devices through our dedicated mobile app, ensuring you can study anytime, anywhere.
GATE Coach’s study materials are curated by experienced faculty members and undergo rigorous review processes to ensure they meet the highest standards of quality and relevance.
GATE Coach stands out for its personalized coaching approach, comprehensive study materials, experienced faculty, and track record of producing successful candidates with top All India Ranks.