GATE DA Syllabus 2027: Complete Subject-Wise Weightage for Data Science & AI

The GATE DA syllabus 2027 is considered to be one of the most important and sought after amongst the engineering disciplines and science graduates who are aiming for higher education, PSU recruitments and careers in artificial intelligence and data science. As the demand for AI professionals in various fields and industries is increasing, the GATE Data Science syllabus will provide the aspirants an excellent platform to demonstrate their knowledge in mathematics, programming, machine learning, databases and artificial intelligence. 

So, if you are interested in preparing for the GATE 2027 Data Science and AI syllabus, you need to understand the topics, examination pattern and subject-wise pattern; it is the first step towards effective preparation. 

In this article, we will discuss the GATE 2027 data science and AI syllabus, latest topics, exam pattern and subject-wise weightage; it is the first step towards effective preparation. This article will help in getting a complete overview about data science and artificial intelligence in 2027 and the GATE DA exam pattern, preparation strategy and eligibility requirements.  

What is the GATE DA Examination?

The GATE DA examination is held as a computer-based test; it evaluates aptitude, mathematical ability and understanding about data science and artificial intelligence with the help of multiple-choice questions. 

A good score in the GATE DA examination will help the candidates to secure admission to master’s courses and some of the popular institutes of India. The candidates can also apply for the PSU recruitments. They can improve their career prospects in analytics, machine learning and AI-based industries.

As the AI is becoming one of the fastest-growing sectors, GATE Data Science and AI is gaining popularity among the students from computer science, mathematics, statistics, electronics and related backgrounds.

GATE DA 2027 Eligibility Requirements

GATE DA 2027 eligibility criteria are similar to the GATE eligibility criteria. The candidates applying for the GATE DA 2027 exam need to fulfil the below eligibility criteria:- 

1. Candidates must have completed a bachelor’s degree in engineering/technology, or they must be in the final year of graduation. 
2. This examination is suitable for the candidates who have completed their graduation degree in computer science and engineering, information technology, artificial intelligence and machine learning, data science, mathematics, statistics and other related fields
3. There are no age-limit and number-of-attempts criteria for appearing for the GATE examination.

What is the GATE DA Exam Pattern for 2027?

It is important to see the GATE DA Exam Pattern 2027 before applying for the exam. Let us see the GATE DA Exam Pattern 2027 given below:

GATE DA Syllabus Breakdown

Here is the GATE DA syllabus breakdown which will enable the candidates to allocate the time effectively. For covering the syllabus & preparing the exam, visit DS & AI GATE 2027 Live Online Course. The GATE DA syllabus can be divided into 3 major sections, such as the following: –

• General aptitude
• Engineering mathematics
• Programming, data structures and algorithms
• Database management 
• Data science
• artificial intelligence
• Machine learning algorithms
• Probability and statistics

GATE DA Section-Wise Weightage 

The GATE DA paper is divided into 3 sections like general aptitude, engineering mathematics and core technical subjects. GATE exam pattern: The core technical section is of 85 marks and general aptitude sections are of 15 marks.

GATE DA syllabus 2027

IIT Madras has released the official GATE DA syllabus 2027 which clearly mentions the topics and concepts that candidates need to prepare and not waste time on irrelevant material. The official syllabus lists 7 subjects in data science and artificial intelligence:

1. Statistics and Probability
2. Linear Algebra
3. Calculus and Optimization
4. Programming, Data Structures and Algorithms
5. Database Management and Warehousing
6. Machine Learning
7. Artifical intelligence

GATE DA 2027 Subject-Wise Weightage

Here is the GATE DA 2027 subject-wise weightage in a clean format below:

GATE DA 2027 Preparation 

If you are also interested in GATE 2027 preparation, then you can follow these guidelines and preparation strategies:- 

1. Firstly, understand the GATE DA and AI syllabus and exam pattern thoroughly. The GATE DA and AI syllabus has been divided into 3 sections, i.e., general aptitude, engineering mathematics and core technical subjects. 
2. Try to cover the whole syllabus before you start with the revision sessions and mock tests. 
3. Furthermore, engineering mathematics and statistics are major subject portions of the examination. You must dedicate sufficient time for these subjects. 
4. You must start practising coding problems and improve your programming skills; it will help in improving accuracy in algorithm-related questions.
5. As soon as the syllabus has been completed, start attempting the PYQs and mock tests; it will help in identifying the most repeated questions, question trends, difficulty level and time management skills. 
6. At the time of preparation, you must focus on consistent revision. You must prepare short notes of formulas, algorithms, machine learning models and other related concepts. Revision is very important for long-term retention.

GATE DA (Data Science and Artificial Intelligence) Subject-Wise Weightage Benefits

There are several benefits to knowing the subject-wise weightage prior to the exam:

• Knowing the subject-wise weightage makes it easier to prepare and strategise your study plan.
• An aspirant can manage their time effectively during GATE preparation by focusing on important subjects and improving the more difficult ones in terms of weightage.
• In case of a time shortage, the subject with the least weightage can be given less importance.
• Aspirants can give their best and achieve the expected result.

GATE DA Syllabus 2027 FAQs