GATE Data Science & Artificial Intelligence preparation

Data Science and AI are Introduced in GATE Exam 2024
For 30 engineering disciplines, including civil, electrical, mechanical, computer science, and information technology, the Graduate Aptitude Test for Engineering (GATE) Exam will be held this year. The GATE Exam 2024's new topic, Data Science and Artificial Intelligence (GATE DA), will give B.Tech. and B.E. degree holders equal opportunity.

2024 syllabus for the GATE Data Science and Artificial Intelligence exam (GATE DA)
The official GATE Data Science and Artificial Intelligence (GATE DA) Syllabus 2024 will shortly be posted on IISc Bangalore's official website, The new topic of Data Science and Artificial intelligence in the curriculum for GATE Exam 2024 is being added to the course curriculum for GATE 2024 with the introduction of the GATE 2024 Official Website.

About GATE 2024

About GATE 2024

The primary goal of the GATE test is to evaluate candidates' thorough comprehension of numerous undergraduate engineering and scientific disciplines. It is a very competitive test that opens doors for students to enrol in Master's and Ph.D. programmes at famous Indian universities as well as positions with several public sector enterprises (PSUs). IISc Bangalore will serve as the host institution for the GATE Exam 2024 this year. The following table summarises key GATE information:

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The GATE 2024 Exam
GATE Full FormGraduate Aptitude Test for Engineering (GATE).
GATE Conducting AuthorityIISC Bangalore
GATE Total No. of Papers30 (Data Science & Artificial Intelligence added)
GATE Notification Release Date24 August 2023
GATE Starting Date of Application24 August 2023
GATE Last Date of Application29 September 2023 (without late fees)
Mode of ExamComputer Based Test(CBT)
Number of Questions Asked65
GATE Marks Distribution15 Marks (General Aptitude) + 85 Marks
(Subject Questions)= 100 Marks (Total)
GATE Marks Distribution15 Marks (General Aptitude) + 85 Marks
(Subject Questions)= 100 Marks (Total)
GATE Exam LanguageEnglish
GATE Marking SchemeOne Mark and Two Marks
Negative MarkingYes (for MCQ & MSQ)
GATE Official Website

What is Data Science and Artificial Intelligence?

Data Science and Artificial Intelligence are two closely related fields that have gained significant prominence in recent years due to advancements in technology and the abundance of data. Data Science is an interdisciplinary field that combines various techniques, methodologies, and tools to extract insights and knowledge from structured and unstructured data.

The key components of data science include data cleaning, data preprocessing, data analysis, data visualization, and predictive modeling. Major aspects of Data Science include Data Collection, Data Cleaning and Preprocessing,  Machine Learning, etc.

Artificial Intelligence is a broader field that involves the development of intelligent systems that can mimic human intelligence and perform tasks that typically require human cognitive abilities. AI encompasses various subfields, including machine learning, natural language processing (NLP), computer vision, robotics, expert systems, and more.

Data Science and AI often go hand in hand, as AI algorithms are commonly used in data science to build predictive models and make data-driven decisions. As these fields continue to evolve, they have a significant impact on industries, driving innovation and improving efficiency and decision-making processes.

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