GATE Pattern

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a month ago

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P
Piyush Shukla

Contributor-Level 7

The GATE Data Science and Artificial Intelligence is tailored for artificial intelligence and machine-level careers (AI/ML). The course curriculum has direct relevance to data Science and analytics roles. However, GATE CSE still offers more institute options, placements, and career opportunities. GATE DA is a new branch included in the GATE 2026 subjects, but in the coming years, it has a greater scope in careers, due to the advancement of technology towards Big Data and machine learning. 

Overall, GATE DA is good for early specialisation and has good scope IN the future. On the other hand, GATE CS is an evergreen branch with heavy

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New answer posted

2 months ago

0 Follower 12 Views

A
Aishwarya Uniyal

Contributor-Level 7

The change in the GATE 2026 syllabus will be known only after the release of the GATE official notification 2026. For now, candidates can refer to the syllabus structure of GATE 2025 below -

GATE 2026 SectionGATE 2026 Weightage
General Aptitude (GA)15 Marks
Engineering Mathematics15 Marks (for applicable papers)
Subject-Specific Questions85 Marks

New answer posted

2 months ago

0 Follower 5 Views

H
Himanshi Choudhury

Contributor-Level 7

The weightage of General aptitude in GATE 2026 is 15 Marks. The mode of the GATE question paper is English and general aptitude is common for all sections. Candidates must go through the syllabus and instructions carefully and prepare as per their difficulty level. 

New answer posted

2 months ago

0 Follower 4 Views

H
Himanshi Choudhury

Contributor-Level 7

Here are some of the best resources that can help in the GATE preparation -

  • Standard text books and lecture notes
  • Previous year's GATE question papers
  • Mock tests (can be found in the GATE's 2026 official website)
  • Video lessons and test series 

Restrict following multiple resources as these can cause brain fog and confusion. Maintain a structured schedule to track your errors while solving questions. Revise multiple times. 

New answer posted

2 months ago

0 Follower 1 View

S
Sumridhi Sinha

Contributor-Level 7

Ideally, yes, but if you have a time crunch, then it is wise to focus on high-weightage and frequently repeated topics. Prioritize subjects that you're strong in, and ensure you master the General Aptitude section, which carries 15 marks. However, leaving large portions of the syllabus can lower your chances of qualifying. Strategic selection and smart revision can help maximize your score.

  • Go through and revise the core concepts as many times as possible. 
  • Practice PYQs and mock tests regularly.
  • Do not touch any new topic in the last two months.

New answer posted

2 months ago

0 Follower 2 Views

S
Shiksha Hazarika

Contributor-Level 7

The commonly recognised related fields under the GATE Engineering and Technology are as follows -

  • Aerospace Engineering (AE)
  • Agricutural Engineering (AG)
  • Biomedical Engineering (BM)
  • Chemical Engineering (CH)
  • Civil Engineering (CE)
  • Computer Science and Information Technology (CS)
  • Electrical Engineering (EE)
  • Electronics and Communication Engineering (EC)
  • Mechanical Engineering (ME)
  • Mining Engineering (MN)
  • Mettalurgical Engineering (MT)
  • Naval Architecture and Marine Engineering (NM)
  • Instrumentation Engineering (IN)
  • Petroluem Engineering (PE)
  • Textile Engineering and Fibre Science (TF)

New answer posted

2 months ago

0 Follower 1 View

P
Piyush Shukla

Contributor-Level 7

The GATE paper code of Engineering Sciences is XE. Candidates must check the paper code carefully before submitting their application form. The eligible GATE paper combination for GATE 2026 XE are as follows -

  • Agricultural Engineering (AG)
  • Architecture and Planning (AR)
  • Biomedical Engineering (BM)
  • Computer Science and Information Technology (CS)
  • Geomatics Engineering (GE)
  • Geology and Gepphysics (GG)
  • Naval Architecture and Marine Engineering (NM)
  • Petroluem Engineering (PE)
  • Textile Engineering and Fibre Science (TF)
  • Aerospace Engineering (AE)
  • Civil Engineering (CE)
  • Chemical Engineering (CH)
  • Chemistry (CY)
  • Data Science and Artificial Intelligence (DA)
  • M
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