GATE Data Science & Artificial Intelligence 2027 – Complete Guide

Introduction

The GATE 2027 Data Science & Artificial Intelligence (DS & AI) examination is a premier national-level test conducted for admission into postgraduate programs (M.Tech, M.E., PhD) and recruitment in PSUs. It evaluates candidates on core DS & AI concepts, programming, mathematics, statistics, and analytical skills.

This guide provides a detailed overview of exam pattern, syllabus, eligibility, important dates, preparation strategy, and other relevant information for aspirants.

Latest Notification

The GATE 2027 DS & AI notification is expected to release in August 2026. Candidates can apply online via the official GATE portal. Scores are valid for 3 years and are used for admissions to IITs, IISc, NITs, and recruitment in PSUs like BHEL, IOCL, NTPC, and ONGC.

Important Dates

Exam Pattern

The GATE 2027 DS & AI exam is a Computer-Based Test (CBT) with a total duration of 3 hours and 100 marks.

Marking Scheme

• 1-mark MCQs: 1/3 negative for wrong answers
• 2-mark MCQs: 2/3 negative for wrong answers
• NAT & MSQs: No negative marking

Syllabus

1. General Aptitude

• Verbal Ability: Grammar, Sentence Completion, Synonyms/Antonyms, Para-jumbles
• Numerical Ability: Arithmetic, Percentages, Ratio/Proportion, Interest
• Data Interpretation: Tables, Charts, Graphs
• Logical Reasoning: Puzzles, Patterns

2. Engineering Mathematics

• Linear Algebra: Matrices, Vectors, Eigenvalues, SVD
• Probability & Statistics: Distributions, Bayes Theorem, Expectation
• Calculus: Differential/Integral, Partial Derivatives, Taylor Series
• Optimization: Convex Optimization, Gradient Descent
• Discrete Math: Sets, Functions, Combinatorics, Graph Theory

3. Data Science Foundations

• Data Preprocessing, Cleaning, Normalization
• Exploratory Data Analysis (EDA), Visualization
• Data Mining: Clustering, Association Rules, Anomaly Detection
• Feature Engineering: Selection, PCA/LDA

4. Machine Learning

• Supervised: Regression, Classification, Decision Trees, SVM
• Unsupervised: Clustering, Dimensionality Reduction
• Model Evaluation: Accuracy, Precision, Recall, F1-score, ROC-AUC
• Overfitting/Underfitting, Cross-Validation

5. Deep Learning

• Neural Networks: Perceptron, Feedforward, Backpropagation
• CNNs: Architecture, Pooling, Image Processing
• RNNs: LSTM, GRU, Sequence Modeling
• Regularization: Dropout, Batch Norm
• Optimization: SGD, Adam, RMSProp

6. Artificial Intelligence Concepts

• Search: BFS, DFS, A*
• Knowledge Representation: Logic, Ontologies
• Planning: Markov Decision Process, Reinforcement Learning
• NLP: Tokenization, Embeddings, Language Models
• Computer Vision Basics

7. Programming & Algorithms

• Python/R: Data Structures, Libraries (numpy, pandas)
• Algorithms: Sorting, Searching, DP, Graphs
• Complexity Analysis: Time/Space, Big-O
• Data Structures: Arrays, Linked List, Trees, Heaps, Hash Tables

8. Probability & Statistics

• Probability: Conditional, Bayes Theorem
• Random Variables & Distributions
• Expectation, Variance, Covariance
• Hypothesis Testing, Confidence Intervals

9. Optimization & Linear Algebra Applications

• Gradient Descent & Variants
• Convex Optimization Problems
• Eigenvalues & Matrix Decomposition
• Principal Component Analysis (PCA)
• Least Squares Estimation

10. Capstone Projects / Practical Applications

• Predictive Models: Regression, Classification
• Deep Learning Applications
• End-to-End ML Pipelines
• Evaluation Metrics for Real-World Applications

Eligibility Criteria

• Bachelor's degree in Engineering, Technology, or relevant science field
• Final year students eligible
• No age limit

Educational Criteria

Candidates must have a Bachelor's degree in Engineering, Technology, Computer Science, Mathematics, Statistics, or a related field from a recognized university.

Selection Process

1. Computer Based Test (CBT)
2. Score Evaluation
3. Admission through COAP / CCMT counseling
4. PSU recruitment based on GATE score

Apply Online

Candidates can apply through the official GATE portal.

Official Website

• Official GATE Website

Steps to Apply

1. Create login account on GATE website
2. Fill personal & educational details
3. Upload photograph & documents
4. Pay application fee
5. Submit and download confirmation

Vacancy / Score Usage

GATE DS & AI scores are used for admissions in IITs, NITs, IISc and recruitment in PSUs.

Expected Cut Off

Salary / Stipend

• PSU Entry Level: ₹40,000 – ₹70,000 per month
• Additional allowances based on PSU policies

Mock Test Series

• Full Length GATE DS & AI Mock Tests
• Topic-wise Practice Tests
• Previous Year Question Papers

Latest Quizzes

• Data Science Quiz
• Machine Learning Quiz
• Deep Learning Quiz
• AI & Aptitude Quiz

Preparation Strategy

• Understand detailed syllabus and plan study schedule
• Practice previous years’ GATE DS & AI papers
• Focus on problem-solving speed and accuracy
• Revise mathematics, statistics, ML, and AI concepts regularly
• Take online mock tests and analyze performance
• Work on mini projects and datasets for practical experience

FAQs

• Q: When will GATE 2027 be conducted?
  A: 4th February 2027.
• Q: Is there any age limit?
  A: No age limit.
• Q: Can final year students apply?
  A: Yes.
• Q: What is the exam mode?
  A: Computer Based Test (CBT).
• Q: How long is the score valid?
  A: 3 Years.