GATE 2024 authority, IISC Bengaluru, has released the GATE Data Science and AI syllabus 2024 PDF for students. The syllabus comprises topics such as Database Management and Warehousing, Machine Learning, Artificial Intelligence.
Table of Contents
GATE Data Science and AI syllabus 2024 PDF has been released by the authority, Indian Institute of Science, Bengaluru. The abbreviation of GATE Data Science and AI is “DA”; a total of 65 questions will be asked in the GATE DA paper.
Moreover, the GATE 2024 exam is all set to be conducted from Feb 3, 2024. GATE 2024 exam dates have been released by IISc Bangalore.
GATE Data Science and AI Syllabus 2024
It is crucial for students to understand the GATE 2024 syllabus as a whole. Subjects such as Linear Algebra, Calculus and Optimization, Probability and Statistics, Programming, Data Structures and Algorithms, and Artificial Intelligence are covered in the GATE Data Science and AI syllabus 2024. Students may refer to the direct link for the GATE 2024 Data Science and AI syllabus PDF and the complete topics from the tables below:
| Official GATE Data Science and AI Syllabus 2024 PDF Direct Link | Download PDF |
Also Check: GATE Admit Card 2024
A total of seven subjects are covered in the GATE Data Science and AI syllabus 2024; each of their topics has been mentioned in the table below:
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, Covariance and Random Variables
- Discrete Random Variables and Probability Mass Functions
- Uniform, Bernoulli, Binomial Distribution
- T-Distribution, Chi-Squared Distributions
- Cumulative Distribution Function
- Conditional Pdf
- Central Limit Theorem
- Z-Test
- Confidence Interval
- T-Test
- Chi-Squared Test
Also Check: GATE Exam Centres 2024
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.
Also Check: GATE Statistics Syllabus 2024
Calculus and Optimization
- Functions Of a Single Variable
- Limit
- Continuity and Differentiability
- Taylor Series
- Maxima and Minima
- Optimization Involving a Single Variable.
Also Check: GATE Mechanical Engineering Syllabus 2024
Programming, Data Structures and Algorithms
- Programming In Python
- Basic Data Structures: Stacks, Queues, Linked Lists, Trees, Hash Tables
- 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.
Also Check: GATE Engineering Science Syllabus 2024
Database Management and Warehousing
- Er-Model
- Relational Model: Relational Algebra, Tuple Calculus, Sql, Integrity
- Data Types, Data Transformation Such As Normalization, Discretization, Sampling, Compression
- Data Warehouse Modeling: Schema For Multidimensional Data Models, Concept Hierarchies, Measures: Categorization and Computations.
Also Check: GATE Biomedical Syllabus 2024
Machine Learning
- Supervised Learning: Regression and Classification Problems
- Simple Linear Regression, Multiple Linear Regression, Ridge Regression, Logistic Regression
- K-Nearest Neighbor
- 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
- Unsupervised Learning: Clustering Algorithms, K-Means/K-Medoid, Hierarchical Clustering
- Top-Down, Bottom-Up: Single-Linkage, Multiple- Linkage, Dimensionality Reduction, Principal Component Analysis
Also Check: GATE Humanities and Social Science Syllabus 2024
Artificial Intelligence
- Search: Informed, Uninformed
- Adversarial; Logic, Propositional, Predicate
- Reasoning Under Uncertainty topics – Conditional Independence Representation
- Exact Inference through Variable Elimination
- Approximate Inference through Sampling.
Also Check: GATE Physics Syllabus 2024
GATE Data Science and AI Exam Pattern 2024
GATE 2024 exams will be held from Feb 3, 2024. Students preparing for the DA paper are advised to go through the GATE 2024 exam pattern along with the GATE Data Science and AI syllabus 2024 to understand the structure of the paper well. Below are the exam pattern details for the GATE Data Science and AI 2024 paper.
| Particular | Details |
| Paper | Data Science and Artificial Intellingence |
| Paper Code | DA |
| Marks Distribution | General Aptitude: 15 marks |
| Subject Questions: 85 marks | |
| Total Marks | 100 |
| Duration | 3 hours (180 minutes) |
Also Check: GATE Information Brochure 2024
GATE Data Science and AI Eligibility Criteria 2024
Students are required to have a Bachelor’s degree in one of the following disciplines: Physics, Mathematics, Statistics, Engineering, Electronics and Telecommunication, Computer Science, Electrical, and Mechanical.
Students having a Bachelor’s degree in any one of the above-mentioned disciplines are eligible to apply for the GATE Data Science and AI 2024 paper.
- B.E. / B.Tech. / B. Pharm. - Bachelor’s degree in Engineering / Technology (4 years after 10+2 or 3 years after B.Sc. / Diploma in Engineering / Technology).
Also Check: GATE Exam Day Guidelines 2024
Recommended Books for GATE Data Science and AI 2024
The recommended GATE 2024 best books can be really helpful for the candidates to shape up their preparation. Students are advised to solve preparation books for the GATE Data Science and AI exam as it will help them test their problem-solving abilities. Below are some recommended books for GATE Data Science and AI 2024.
| Book Name | Author/Publisher |
| Artificial Intelligence: A Modern Approach | Artificial Intelligence: A Modern Approach |
| Database Management Systems | Raghu Ramakrishnan and Johannes Gehrke |
| Machine Learning for Beginners | Chris Sebastian |
| Introduction to Linear Algebra | Gilbert Strang |
| Introduction to Probability | Dimitri P. Bertsekas & John N. Tsitsiklis |
Also Check: GATE 2024 Preparation Tips from Toppers & Experts
GATE Data Science and AI (DA) 2024 Preparation Tips
Students willing to appear for the GATE Data Science and Artificial Intelligence 2024 must be from a familiar background, so they are required to have clear concepts and theories of the topics covered in the GATE Data Science and AI syllabus 2024. Below are some preparation tips for the GATE DA paper:
- Candidates are advised to go through the GATE Data Science and AI syllabus 2024 and select the topics that require more work and clarity.
- Cover the topics that require practice by going through the basic concepts and definitions of each topic.
- Use the study material and notes from the Bachelor’s degree discipline, as it may be helpful in terms of revision and theory knowledge.
- Practice GATE 2024 mock tests and previous years’ question papers to understand the type of questions and the question paper pattern.
- Prepare a schedule accordingly that fits the time till the GATE 2024 exam; a practical study routine will help the candidate cover all the topics on time.
- Solving preparation books for GATE Data Science and AI paper will be very helpful for students as it will prepare them thoroughly for the exam.
Also Check: Last Minute Preparation Tips for GATE 2024
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